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Cochrane Database of Systematic Reviews

Sistemas de comunicación telefónica automatizados para la prevención de la salud y el tratamiento de enfermedades crónicas

Información

DOI:
https://doi.org/10.1002/14651858.CD009921.pub2Copiar DOI
Base de datos:
  1. Cochrane Database of Systematic Reviews
Versión publicada:
  1. 14 diciembre 2016see what's new
Tipo:
  1. Intervention
Etapa:
  1. Review
Grupo Editorial Cochrane:
  1. Grupo Cochrane de Consumidores y comunicación

Copyright:
  1. Copyright © 2016 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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Contraer

Autores

  • Pawel Posadzki

    Centre for Population Health Sciences (CePHaS), Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore

  • Nikolaos Mastellos

    Global eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK

  • Rebecca Ryan

    Centre for Health Communication and Participation, School of Psychology and Public Health, La Trobe University, Bundoora, Australia

  • Laura H Gunn

    Public Health Program, Stetson University, DeLand, USA

  • Lambert M Felix

    Faculty of Health and Social Care, Edge Hill University, Ormskirk, UK

  • Yannis Pappas

    Institute for Health Research, University of Bedfordshire, Luton, UK

  • Marie‐Pierre Gagnon

    Centre de recherche du CHU de Québec, Axe Santé des populations ‐ Pratiques optimales en santé, Traumatologie – Urgence – Soins Intensifs, Québec, Canada

  • Steven A Julious

    Medical Statistics Group, School of Health and Related Research, University of Sheffield, Sheffield, UK

  • Liming Xiang

    Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, Singapore

  • Brian Oldenburg

    Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia

  • Josip Car

    Correspondencia a: Centre for Population Health Sciences (CePHaS), Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore

    [email protected]

    [email protected]

    Global eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK

    Department of Family Medicine, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia

Contributions of authors

  • Pawel Posadzki: revised the protocol, re‐ran the searches, screened, extracted and analysed and synthesised data, wrote and revised the drafts.

  • Nikolaos Mastellos: screened studies, extracted data, and revised the drafts.

  • Rebecca Ryan: managed the project, assessed methodological quality, revised the drafts.

  • Laura H Gunn: revised the drafts, and contributed to the statistical methods sections.

  • Lambert M Felix: revised the protocol, contributed to the design of the conceptual framework, and refined the data extraction form.

  • Yannis Pappas: revised the drafts.

  • Marie‐Pierre Gagnon: revised the drafts.

  • Steven A Julious: provided statistical expertise.

  • Brian Oldenburg: provided content expertise, revised the drafts.

  • Josip Car: conceived the idea for the review, managed the project, and revised the drafts.

All authors contributed to the writing or editing of the review.

Sources of support

Internal sources

  • No sources of support supplied

External sources

  • The NW London NIHR Collaboration for Leadership in Applied Health Research & Care (CLAHRC), the Imperial NIHR Biomedical Research Centre, and the Imperial Centre for Patient Safety and Service Quality (CPSSQ), UK.

    The Department of Primary Care & Public Health at Imperial College London is grateful for support from the NW London NIHR Collaboration for Leadership in Applied Health Research & Care (CLAHRC), the Imperial NIHR Biomedical Research Centre, and the Imperial Centre for Patient Safety and Service Quality (CPSSQ). The views expressed in this publication are those of the authors and not necessarily those of the NIHR, BRC or CPSSQ.

Declarations of interest

  • Pawel Posadzki: none known.

  • Nikolaos Mastellos: none known.

  • Rebecca Ryan: This work was completed by RR as part of her role as editor with CCCG, funded by a Cochrane Infrastructure Grant provided by the National Health and Medical Research Council (NHMRC).

  • Laura H Gunn: none known.

  • Lambert M Felix: none known.

  • Yannis Pappas: none known.

  • Marie‐Pierre Gagnon: none known.

  • Steven A Julious:none known.

  • Liming Xiang: none known.

  • Brian Oldenburg: none known.

  • Josip Car: none known.

Acknowledgements

We would like to thank Igor Wei, John Kis‐Rigo, and Caroline Pang Soo Ling for their invaluable support with devising the search strategy for this review. We also acknowledge the referees and the editors for their valuable comments and suggestions. We are grateful to Dr Monika Semwal for initially validating the data extraction form and to Dr Ram Bajpai for his statistical and methodological inputs. We also thank Dr Simon Lewin for his generous role in validating the iCAT_SR tool, Professors Azeem Majeed from Diabetes Research Network and Rifat Atun for their contributions, Dr Nami Minorikawa for writing the initial protocol and designing the initial data extraction form, and Dr Lucinda Cash‐Gibson for revising the protocol and refining the data extraction form.

Version history

Published

Title

Stage

Authors

Version

2016 Dec 14

Automated telephone communication systems for preventive healthcare and management of long‐term conditions

Review

Pawel Posadzki, Nikolaos Mastellos, Rebecca Ryan, Laura H Gunn, Lambert M Felix, Yannis Pappas, Marie‐Pierre Gagnon, Steven A Julious, Liming Xiang, Brian Oldenburg, Josip Car

https://doi.org/10.1002/14651858.CD009921.pub2

2012 Jul 11

Automated telephone communication systems for preventive healthcare and management of long‐term conditions

Protocol

Lucinda Cash‐Gibson, Lambert M Felix, Nami Minorikawa, Yannis Pappas, Laura H Gunn, Azeem Majeed, Rifat Atun, Josip Car

https://doi.org/10.1002/14651858.CD009921

Differences between protocol and review

  1. Objectives: we added a third secondary objective since publishing the protocol: to explore "the behaviour change techniques and theoretical models underpinning the ATCS interventions" to better understand any plausible mechanisms of action that underpin the interventions.

  2. Methods: at protocol stage, the exclusions listed in Types of interventions included studies that "were exclusively for the purpose of electronic history‐taking or risk assessment with no health promotion or interactive elements". We have been modified this to "were exclusively for the purpose of electronic history‐taking or data collection or risk assessment with no health promotion or interactive elements"

  3. We removed the following exclusion stated at protocol stage: "Studies that evaluate the groups that receive similar ATCS components but the interventions differ only by the advanced communicative functions (such as access to an advisor) or supplementary functions (such as email and short messaging service)", because it contradicted the extended inclusion criteria (please see point immediately below).

  4. In Types of interventions, the protocol stated: "We will also include comparisons of one type of ATCS against another". We have altered this to: "We also included studies that compared ATCS interventions (e.g. unidirectional ATCS versus ATCS versus ATCS Plus) to compare the effects of different intervention designs on preventive healthcare or management of long‐term conditions."

  5. In Types of outcome measures, the protocol stated: "To select only one of multiple outcomes, we used the following approach . . . Select the primary outcome which was identified by the publication authors (we took into consideration the possibility of selective outcome reporting bias; we attempted to compare the primary outcomes stated in the protocol with the ones listed in the review, to assist our judgement of this; when no primary outcome was identified, we selected the one specified in the sample size calculation; where there was no sample size calculation, we ranked the effect estimates and selected the median effect estimate." We have altered this to, "For each study we selected all relevant primary outcomes related to human physiology or health behaviour, as these are likely to be most meaningful to clinicians, consumers, the general public, administrators and policymakers." We followed a similar approach for selection of secondary outcomes, with the following text inserted: "For each study, we selected all relevant secondary outcomes as these were also meaningful for the various stakeholders."

  6. The Information Specialist modified the search strategy for MEDLINE.

  7. Unit of analysis issues: the protocol stated: "the comparator arm will be split equally between each treatment arm"; we changed this to: "we compared the relevant ATCS arm with the least active control arm", i.e. from studies with multiple intervention arms only one arm was included without splitting the comparison group.

  8. Unit of analysis issues: we had planned to impute estimates of the ICC using external sources; however, we managed to calculate the ICC using the Fleiss‐Cuzick estimator for binary data in Hess 2013 study.

  9. We incorporated an additional outcome. quality of life, under Secondary outcomes, Patient‐centred outcomes to add outcomes from medical care that are important to patients.

  10. We also incorporated another secondary process outcome, cost‐effectiveness, to add a further layer of information relating to the description and evaluation of resource use associated with ATCS interventions, which might be used in a decision‐making process.

  11. Dealing with missing data: we planned to contact the authors or impute the standard deviations from other similar studies; however, we managed to calculate the standard deviations from other statistics, such as 95% confidence intervals, standard errors, or P values.

Keywords

MeSH

PICO

Population
Intervention
Comparison
Outcome

El uso y la enseñanza del modelo PICO están muy extendidos en el ámbito de la atención sanitaria basada en la evidencia para formular preguntas y estrategias de búsqueda y para caracterizar estudios o metanálisis clínicos. PICO son las siglas en inglés de cuatro posibles componentes de una pregunta de investigación: paciente, población o problema; intervención; comparación; desenlace (outcome).

Para saber más sobre el uso del modelo PICO, puede consultar el Manual Cochrane.

Primary preventive healthcare
Figuras y tablas -
Figure 1

Primary preventive healthcare

Influencing factors and preventive strategies in type 2 diabetes
Figuras y tablas -
Figure 2

Influencing factors and preventive strategies in type 2 diabetes

Conceptual framework of ATCS in preventive healthcare
Figuras y tablas -
Figure 3

Conceptual framework of ATCS in preventive healthcare

Conceptual framework of ATCS in the management of long‐term conditions
Figuras y tablas -
Figure 4

Conceptual framework of ATCS in the management of long‐term conditions

Management of long‐term conditions
Figuras y tablas -
Figure 5

Management of long‐term conditions

Study flow diagram
Figuras y tablas -
Figure 6

Study flow diagram

Subgroups for preventive health and/or management of long term conditions in this review
Figuras y tablas -
Figure 7

Subgroups for preventive health and/or management of long term conditions in this review

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.
Figuras y tablas -
Figure 8

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.
Figuras y tablas -
Figure 9

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Comparison 1 ATCS vs control for improving health services uptake (immunisations), Outcome 1 Immunisation in children.
Figuras y tablas -
Analysis 1.1

Comparison 1 ATCS vs control for improving health services uptake (immunisations), Outcome 1 Immunisation in children.

Comparison 1 ATCS vs control for improving health services uptake (immunisations), Outcome 2 Immunisation in adolescents.
Figuras y tablas -
Analysis 1.2

Comparison 1 ATCS vs control for improving health services uptake (immunisations), Outcome 2 Immunisation in adolescents.

Comparison 1 ATCS vs control for improving health services uptake (immunisations), Outcome 3 Immunisation in adults.
Figuras y tablas -
Analysis 1.3

Comparison 1 ATCS vs control for improving health services uptake (immunisations), Outcome 3 Immunisation in adults.

Comparison 2 ATCS vs control for improving health services uptake (screening rates), Outcome 1 Breast cancer screening.
Figuras y tablas -
Analysis 2.1

Comparison 2 ATCS vs control for improving health services uptake (screening rates), Outcome 1 Breast cancer screening.

Comparison 2 ATCS vs control for improving health services uptake (screening rates), Outcome 2 Colorectal cancer screening.
Figuras y tablas -
Analysis 2.2

Comparison 2 ATCS vs control for improving health services uptake (screening rates), Outcome 2 Colorectal cancer screening.

Comparison 3 ATCS vs control for reducing body weight, Outcome 1 BMI adults.
Figuras y tablas -
Analysis 3.1

Comparison 3 ATCS vs control for reducing body weight, Outcome 1 BMI adults.

Comparison 4 ATCS vs usual care for managing diabetes mellitus, Outcome 1 Glycated haemoglobin.
Figuras y tablas -
Analysis 4.1

Comparison 4 ATCS vs usual care for managing diabetes mellitus, Outcome 1 Glycated haemoglobin.

Comparison 4 ATCS vs usual care for managing diabetes mellitus, Outcome 2 Self‐monitoring of diabetic foot.
Figuras y tablas -
Analysis 4.2

Comparison 4 ATCS vs usual care for managing diabetes mellitus, Outcome 2 Self‐monitoring of diabetic foot.

Comparison 5 ATCS vs usual care for reducing healthcare utilisation in patients with heart failure, Outcome 1 Cardiac mortality.
Figuras y tablas -
Analysis 5.1

Comparison 5 ATCS vs usual care for reducing healthcare utilisation in patients with heart failure, Outcome 1 Cardiac mortality.

Comparison 5 ATCS vs usual care for reducing healthcare utilisation in patients with heart failure, Outcome 2 All‐cause mortality.
Figuras y tablas -
Analysis 5.2

Comparison 5 ATCS vs usual care for reducing healthcare utilisation in patients with heart failure, Outcome 2 All‐cause mortality.

Comparison 6 ATCS vs usual primary care and education or usual care for managing hypertension, Outcome 1 Systolic blood pressure.
Figuras y tablas -
Analysis 6.1

Comparison 6 ATCS vs usual primary care and education or usual care for managing hypertension, Outcome 1 Systolic blood pressure.

Comparison 6 ATCS vs usual primary care and education or usual care for managing hypertension, Outcome 2 Diastolic blood pressure.
Figuras y tablas -
Analysis 6.2

Comparison 6 ATCS vs usual primary care and education or usual care for managing hypertension, Outcome 2 Diastolic blood pressure.

Comparison 7 ATCS for smoking cessation, Outcome 1 Smoking abstinence.
Figuras y tablas -
Analysis 7.1

Comparison 7 ATCS for smoking cessation, Outcome 1 Smoking abstinence.

Summary of findings for the main comparison. Preventive healthcare: effects of ATCS on health services uptake (immunisations)

ATCS versus control on immunisation rates

Patient or population: participants at risk of under‐immunisation (children, adolescents and adults)
Settings: primary care
Intervention: ATCS (ATCS+, IVR, unidirectional)

Comparison: no intervention, usual care or health information (letter)

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Control

ATCS

Behavioural outcome: immunisation rate

ATCS Plus, IVR, unidirectional versus no calls, letters, usual care at median follow‐up of 4 months

Study populationa: children

Comparator: no intervention

RR 1.25

(1.18 to 1.32)

10,454
(5 studies)

⊕⊕⊕⊝
Moderatec

Franzini 2000 (N = 1138) reported that compared with controls (no calls), unidirectional ATCS (autodialer) may increase immunisation rates in children (86% versus 64%, low certainty).d

308 per 1000

385 per 1000
(363 to 406)

Moderateb

373 per 1000

466 per 1000
(440 to 492)

Behavioural outcome: immunisation rate

Unidirectional ATCS versus usual care at median follow‐up of 15 months

Study populationa: adolescents

Comparator: usual care

RR 1.06
(1.02 to 1.11)

5725
(2 studies)

⊕⊕⊕⊝
Moderatee

Szilagyi 2013 (N = 4115) also reported that unidirectional ATCS probably slightly improves the uptake of preventive care visits, compared with usual care (63% ATCS versus 59% usual care; moderate certainty evidencef).

543 per 1000

576 per 1000
(554 to 603)

Moderateb

540 per 1000

572 per 1000
(551 to 599)

Behavioural outcome: immunisation rate

Unidirectional ATCS versus no calls or health information at median follow‐up of 2.5 months

Study populationa: adults

Comparator: no calls or health information

RR 2.18

(0.53 to 9.02)

1743
(2 studies)

⊕⊝⊝⊝
Very lowg,h

10 per 1000

21 per 1000
(5 to 88)

Moderateb

66 per 1000

144 per 1000
(35 to 595)

Adverse outcome: unintended adverse events attributable to the intervention

ATCS+, IVR, unidirectional versus various controls

No studies reported adverse events.

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). ATCS Plus: automated telephone communication systems with additional functions; ATCS: automated telephone communication systems; CI: confidence interval; IVR: interactive voice response; RR: risk ratio; unidirectional ATCS enable non‐interactive voice communication and use one‐way transmission of information or reminders.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aThe assumed risk represents the mean control group risk across studies (calculated by GRADEPro).
bThe assumed risk represents the median control group risk across studies (calculated by GRADEPro).
cDowngraded as all six studies were rated as at unclear risk of bias on most domains, including all unclear on allocation concealment; and one study at high risk for randomisation, one study at high risk of performance bias (−1).
dDowngraded as results are from only one cluster RCT that failed to adequately adjust for clustering in analysis (−1); all risk of bias domains were rated as at unclear risk (−1).
eDowngraded as one of two studies was rated as at unclear risk on allocation concealment and attrition bias domains (−1).
fDowngraded as study was rated as at unclear risk on allocation concealment and attrition bias domains (−1).
gDowngraded as both studies were rated as at unclear on attrition bias, and one study (Hess 2013) was rated as at unclear risk on allocation concealment and at high risk of bias on the 'other' domain (reflecting baseline imbalances between groups and a lack of information to judge whether selective recruitment of participants was adjusted for (−1).
hDowngraded as there were wide confidence intervals around the effect estimate (imprecision) (−1); downgraded as substantial level of heterogeneity was detected (inconsistency) (−1).

Figuras y tablas -
Summary of findings for the main comparison. Preventive healthcare: effects of ATCS on health services uptake (immunisations)
Summary of findings 2. Preventive healthcare: effects of ATCS on physical activity levels

ATCS versus control on physical activity levels

Patient or population: participants at risk of developing long‐term conditions

Settings: various settings

Intervention: ATCS (multimodal/complex intervention, ATCS+, IVR)

Comparison: no intervention, usual care, or IVR

Outcomes

Effect of intervention a

No of participants
(studies)

Quality of the evidence
(GRADE)

Behavioural outcome: physical activity

Multimodal/complex interventionb versus no calls

The intervention may slightly improve the frequency of walks.

181

(1 study)

⊕⊕⊝⊝

Lowc

Behavioural outcome: physical activity, 12 months

Multimodal/complex interventiond versus usual care

The intervention probably has mixed effects on gait speeds, little effect on functional outcomes (moderate certaintye) and may slightly increase physical activity levels (low certaintyf).

700

(2 studies)

Behavioural outcome: physical activity

ATCS Plus versus IVR control

2 studies reported that ATCS Plus intervention may have little or no effect on different indices of physical activity.

369

(2 studies)

⊕⊕⊝⊝

Lowc

Behavioural outcome: physical activity

IVR versus usual care, control or health education

3 studies reported that IVR interventions may slightly improve several indices of physical activity (muscle strength, balance, moderate to vigorous physical activity) but may have little or no effect on others (physical activity levels, walking distance).

216

(3 studies)

⊕⊕⊝⊝

Lowg

Clinical outcome: metabolic markers, 12 months

Multimodal/complex interventiond versus usual care

The intervention may have little or no effect on glycated haemoglobin, fasting insulin and glucose levels.

302

(1 study)

⊕⊕⊝⊝

Lowf

Clinical outcome: body weight measures

Multimodal/complex interventiond ATCS Plus versus usual care or control

ATCS Plus intervention may have little or no effect on BMI, weight, waist or waist‐hip ratio, compared with control (71 participants; low certainty evidencec).

Multimodal/complex intervention may have little or no effect on BMI, waist circumference or physical function, compared with usual care (302 participants; low certainty evidencef).

373

(2 studies)

⊕⊕⊝⊝

Low

Adverse outcome:

unintended adverse events attributable to the intervention

Multimodal/complex intervention, ATCS Plus, IVR versus various controls

No studies reported adverse events.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

ATCS: automated telephone communication systems; ATCS Plus: automated telephone communication systems with additional functions; IVR: interactive voice response.

aThe findings presented are based on a narrative summary and synthesis of results that were not amenable to statistical analysis; please see Effects of interventions for detailed findings.
bMultimodal intervention included 10 nurse‐delivered and 10 automated phone calls.
cDowngraded as randomisation and allocation concealment were rated as at unclear risk of bias (−1); and results (for each outcome) were obtained from a single study at some potential risk of bias (−1).
dMultimodal intervention included counselling by lifestyle counsellor, automated telephone messaging, endorsement and tailored mailings.
eDowngraded as results were obtained from a single study (−1).
fDowngraded as randomisation was rated as at unclear risk of bias (−1), and results for each outcome were obtained from a single study at some potential risk of bias (−1).
gDowngraded as one study was at unclear risk for randomisation and at high risk for attrition, while two studies were at unclear risk for allocation concealment (−1); results were obtained from a single study (for each outcome) at some potential risk of bias (−1).

Figuras y tablas -
Summary of findings 2. Preventive healthcare: effects of ATCS on physical activity levels
Summary of findings 3. Preventive healthcare: effects of ATCS on health services uptake (screening)

ATCS versus control on screening rates

Patient or population: participants at risk for breast, colorectal or cervical cancer; or osteoporosis

Settings: primary, secondary and tertiary care

Intervention: ATCS (multimodal/complex intervention, ATCS Plus, IVR, unidirectional)

Comparison: usual care, enhanced usual care or no intervention

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Usual care or enhanced usual care or no intervention

ATCS

Behavioural outcome: breast cancer screening

Multimodal/complex intervention versus usual care at 12 months follow‐up

Study populationa

RR 2.17
(1.55 to 3.04)

462
(2 studies)

⊕⊕⊕⊕
High

167 per 1000

363 per 1000
(259 to 508)

Moderateb

167 per 1000

363 per 1000
(259 to 508)

Behavioural outcome: breast cancer screening

IVR versus enhanced usual care at median follow‐up of 12 months

Study populationa

RR 1.05
(0.99 to 1.11)

2599
(2 studies)

⊕⊕⊕⊝
Moderatec

Unidirectional ATCS versus letter

1 further study (Fortuna 2014) (N = 1008) found that unidirectional ATCS (plus letter) probably has little or no effect on breast cancer screening rates at 12 months, adjusted OR 1.3 (95% CI 0.7 to 2.4; moderate certaintyd).

585 per 1000

614 per 1000
(579 to 649)

Moderateb

432 per 1000

454 per 1000
(428 to 480)

Behavioural outcome: colorectal cancer screening

Multimodal/complex intervention versus usual care at median follow‐up of 12 months

Study populationa

RR 2.19
(1.88 to 2.55)

1013
(3 studies)

⊕⊕⊕⊕
High

249 per 1000

545 per 1000
(468 to 635)

Moderateb

167 per 1000

366 per 1000
(314 to 426)

Behavioural outcome: colorectal cancer screening

IVR versus usual care at 6‐month follow‐up

Study populationa

RR 1.36
(1.25 to 1.48)

16915
(2 studies)

⊕⊕⊕⊝
Moderatee

IVR versus control

1 other study (Durant 2014) (N = 47,097) reported that IVR probably increases screening, with 1773 participants from the IVR group and 100 from the no‐call control group completing colorectal cancer screening within 3 months (moderate certaintyf).

IVR versus usual care

1 study (Mosen 2010) (N = 6000) also reported that IVR probably increases completion of any colorectal cancer screening (moderate certaintyg).

119 per 1000

161 per 1000
(148 to 176)

Moderateb

119 per 1000

162 per 1000
(149 to 176)

Behavioural outcome: colorectal cancer screening

IVR, unidirectional ATCS versus usual care or letter at longer (9‐12 months) follow‐up

Study populationa

RR 1.01
(0.97 to 1.05)

21,335
(2 studies)

⊕⊕⊕⊝
Moderateh

IVR versus usual care

1 study (Simon 2010a) (N = 20,000) also reported that IVR probably increases slightly colorectal cancer screening via colonoscopy (moderate certaintyi).

Unidirectional ATCS versus letter

1 further study (Fortuna 2014) (N = 1008) at 12 months found that unidirectional ATCS (plus letter) has probably little or no effect on colorectal cancer screening rates at 12 months (15.3% versus 12.2%; adjusted OR 1.2; 95% CI 0.6 to 2.4; moderate certaintyd).

302 per 1000

305 per 1000
(293 to 317)

Moderateb

245 per 1000

247 per 1000
(238 to 257)

Behavioural outcome: cervical cancer screening

ATCS Plus versus control (no calls) at 3 month follow‐up

See comment

See comment

Not estimable

75,532

(1 study)

⊕⊕⊕⊝
Moderatej

Corkrey 2005 found that ATCS Plus intervention probably slightly improves cervical cancer screening rates at 3 months.

Adverse outcome: unintended adverse events attributable to the intervention

Multimodal/complex intervention, ATCS Plus, IVR, unidirectional versus various controls

No studies reported adverse events.

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
ATCS: automated telephone communication systems; ATCS Plus: automated telephone communication systems with additional functions; BMD: bone mineral density; CI: confidence interval; HR: hazard ratio; IVR: interactive voice response; OR: odds ratio; RR: risk ratio.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aThe assumed risk represents the mean control group risk across studies (calculated by GRADEPro).
bThe assumed risk represents the median control group risk across studies (calculated by GRADEPro).
cDowngraded as risk of bias was unclear for allocation concealment in both studies, and randomisation and blinding rated unclear in one study (−1).
dDowngraded as confidence intervals were wide (imprecision) and included both a potential harm and a potential benefit (−1).
eDowngraded as risk of bias was unclear for all items in one study, and in the other allocation concealment and blinding were rated as unclear (−1).
fDowngraded as risk of bias was unclear for all items except 'other' bias, which was rated as high risk (−1).
gDowngraded as risk of bias was rated unclear for allocation concealment and blinding (−1).
hDowngraded as risk of bias was rated as unclear for allocation concealment in both studies and blinding was rated high risk in one study (−1).
iDowngraded as risk of bias was rated unclear for allocation concealment and high risk for blinding (−1).
jDowngraded as all items were rated as at unclear risk of bias (−1).

Figuras y tablas -
Summary of findings 3. Preventive healthcare: effects of ATCS on health services uptake (screening)
Summary of findings 4. Preventive healthcare: effects of ATCS on weight management

ATCS versus control for body weight

Patient or population: overweight or obese individuals (both children and adults)
Settings: various settings
Intervention: ATCS (multimodal/complex intervention, ATCS Plus, IVR)

Comparison: usual care, no intervention or control

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Commentsa

Assumed risk

Corresponding risk

Controls

ATCS

Clinical and behavioural outcome: BMI score in adults

Multimodal/complex intervention, ATCS Plus or IVR versus usual care at median follow‐up of 18 months

The mean BMI in the control groups was 34.7 kg/m2

The mean BMI of adults in the intervention groups was 0.64 kg/m2lower
(1.38 lower to 0.11 higher)

Not estimable

672
(3 studies)

⊕⊕⊝⊝
Lowb

ATCS Plus versus control

Vance 2011 (N = 140) found that ATCS Plus may reduce slightly BMI (low certainty evidencec).

Clinical and behavioural outcome: body weight in adults, 12 weeks

See comment

See comment

Not estimable

See comment

See comment

ATCS Plus versus control

Vance 2011 (N = 140) found that ATCS Plus may reduce slightly body weight and waist circumference (low certainty evidencec).

IVR versus control

Estabrooks 2008 (N = 77) reported that IVR may have little or no effect on body weight (percent lost or change in) (low certainty evidenced).

Clinical and behavioural outcome: body weight in adults, at median follow‐up of 18 months

See comment

See comment

Not estimable

See comment

See comment

ATCS (multimodal/complex intervention, ATCS Plus, IVR) versus usual care

Bennett 2012 (N = 365) found that ATCS Plus probably slightly reduces body weight at 18 months (moderate certainty evidence).eBennett 2013 (N = 194) found that multimodal/complex intervention may reduce body weight at 18 months (low certainty evidence).f

IVR versus usual care

Goulis 2004 (N = 122) found that IVR probably reduces slightly body weight but probably has little or no effect on obesity assessment scores at 6 months (moderate certainty evidence).f

Clinical and behavioural outcome: blood pressure, blood glucose, cholesterol levels

See comment

See comment

Not estimable

See comment

See comment

ATCS (ATCS Plus, IVR) versus usual care/control

Bennett 2012 (N = 365) found that ATCS Plus probably has little or no effect on systolic or diastolic blood pressure at 18 months (moderate certainty evidencee).

ATCS Plus versus control

Vance 2011 found that ATCS Plus may slightly improve slightly systolic blood pressure and blood glucose levels at 12 weeks (low certainty evidencec).

IVR versus usual care

Goulis 2004 (N = 122) found that IVR probably has little or no effect on systolic or diastolic blood pressure, plasma glucose levels, or high‐density lipoprotein cholesterol, but it probably slightly reduces total cholesterol and triglyceride levels at 6 months (moderate certainty evidence).e

Clinical outcome: BMI z‐score in children at median follow‐up of 7.5 months

See comment

See comment

Not estimable

See comment

⊕⊕⊕⊝
Moderatee

ATCS Plus versus control

Estabrooks 2009 (N = 220) found that ATCS Plus has probably little or no effect on BMI z‐scores in children at 12 months.

IVR versus control

Wright 2013 (N = 100) found that IVR has probably little or no effect on BMI z‐scores in children at 3 months.

Behavioural outcome: physical activity, dietary habits in children at median follow‐up of 7.5 months

See comment

See comment

Not estimable

See comment

⊕⊕⊕⊝
Moderate4

ATCS Plus versus control

Estabrooks 2009 (N = 220) found that ATCS Plus has probably little or no effect on self‐reported physical activity, sedentary behaviours or dietary habits at 12 months.

IVR versus control (no calls)

Wright 2013 (N = 100) found that IVR has probably little or no effect on total caloric intake, fruit intake, or sedentary behaviours at 3 months.

Adverse outcome: unintended adverse events attributable to the intervention

IVR versus usual care

See comment

See comment

See comment

559

(2 studies)

See comment

Bennett 2012 (N = 365) reported 1 serious musculoskeletal injury in the intervention group and 3 events (1 cardiovascular and 2 cases of gallbladder disease) in the usual care group (moderate certainty evidence).e,g

Bennett 2013 (N = 194) reported 6 serious adverse events in the intervention arm, including gynaecological surgery in 2 participants and knee replacement, breast abscess, musculoskeletal injury, and cancer diagnosis in 1 participant each; all participants except the one with the cancer diagnosis required hospitalisation (low certainty evidence).f,g

*The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

ATCS: automated telephone communication systems; ATCS Plus: automated telephone communication systems with additional functions; BMI: body Mass Index; CI: confidence interval; IVR: interactive voice response; SMD: Standardised mean difference.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aAdditional findings presented are based on a narrative summary and synthesis of results that were not amenable to statistical analysis; please see Effects of interventions for detailed findings.
bDowngraded as allocation concealment was rated as at unclear risk of bias in all three studies, and randomisation unclear in one study, with high risk of performance bias in two studies (−1); downgraded as substantial level of heterogeneity was detected (inconsistency) (−1).
cDowngraded as all items were rated as at unclear risk of bias (−1); and results were obtained from a single small study at potential risk of bias (−1).
dDowngraded as performance bias was rated as high risk (−1); and results were obtained from a single very small study at potential risk of bias (−1).
eDowngraded as results were each obtained from a single small study (−1).
fDowngraded as randomisation and allocation concealment was rated as at unclear risk and performance bias was rated as high risk (−1); and results were obtained from a single small study at potential risk of bias (−1).
gThe authors of the study could not conclusively determine whether reported events resulted from study participation.

Figuras y tablas -
Summary of findings 4. Preventive healthcare: effects of ATCS on weight management
Summary of findings 5. Preventive healthcare or management of long‐term conditions: effects of ATCS as appointment reminders/reducing non‐attendance rates

ATCS versus control as appointment reminders (reducing non‐attendance rates)

Patient or population: patients/healthcare consumers
Settings: various settings
Intervention: ATCS (ATCS Plus, IVR, unidirectional)

Comparison: no intervention (calls) or nurse‐delivered calls

Outcomes

Effect of interventiona

No of participants (studies)

Quality of the evidence
(GRADE)

Health behaviour: attendance rates, 6 weeks

ATCS Plus versus nurse‐delivered calls

ATCS Plus calls delivered 3 or 7 days prior to flexible sigmoidoscopy or/and colonoscopy examinations probably have little or no effect on appointment non‐attendance or preparation non‐adherence.

3610

(1 study)

⊕⊕⊕⊝
Moderateb

Health behaviour: attendance rates, 4 months

IVR versus no calls

IVR improves attendance rates: OR 1.52 (95% CI 1.34 to 1.71).

12,092

(1 study)

⊕⊕⊕⊕

High

Health behaviour: return tuberculin test rate, 3 days

Unidirectional ATCS versus no calls

Unidirectional ATCS may improve test return rates.

701

(1 study)

⊕⊕⊝⊝
Lowc

Health behaviour: attendance rates, 1 month

Unidirectional ATCS versus no calls

Undirectional ATCS may improve attendance rates RR 1.60 (95% CI 1.29 to 1.98).

517

(1 study)

⊕⊕⊝⊝
Lowc

Health behaviour: attendance rates, 6‐8 weeks

Unidirectional ATCS versus no calls

2 studies reported conflicting results: Reekie 1998 (N = 1000) reported that unidirectional ATCS probably decrease non‐attendance rates at 6 weeks; while Maxwell 2001 (N = 2304) reported the interventions probably have little or no effect at 2 months.

3304

(2 studies)

⊕⊕⊕⊝
Moderated

Health behaviour: attendance rates, 6 months

Unidirectional ATCS versus no calls

Unidirectional ATCS may improve attendance: OR 1.50 (P < 0.01).

2008

(1 study)

⊕⊕⊝⊝
Lowe

Adverse outcome: unintended adverse events attributable to the intervention

ATCS Plus, IVR, unidirectional ATCS versus various controls

No studies reported adverse events.

ATCS: automated telephone communication systems; ATCS Plus: automated telephone communication systems with additional functions; CI: confidence interval; IVR: interactive voice response; OR: odds ratio; RR: risk ratio.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aThe findings presented are based on a narrative summary and synthesis of results, many of which were not amenable to statistical analysis; please see Effects of interventions for detailed findings.
bDowngraded as most items (including randomisation and allocation concealment) were rated as being at unclear risk of bias (−1).
cDowngraded as both studies considered were rated as being at high risk of bias on randomisation and at unclear risk on allocation concealment and other items (‐2) (Dini 1995; Tanke 1994).
dDowngraded as all items were rated as being at unclear risk of bias (−1).
eDowngraded as randomisation was rated as at high risk of bias; and study was rated as at unclear risk of bias on other items (‐2).

Figuras y tablas -
Summary of findings 5. Preventive healthcare or management of long‐term conditions: effects of ATCS as appointment reminders/reducing non‐attendance rates
Summary of findings 6. Long‐term management: effects of ATCS on adherence to medication or laboratory tests

ATCS versus control for adherence to medication or laboratory tests

Patient or population: patients with various conditions or at risk of low adherence to medication or laboratory tests

Settings: various settings

Intervention: ATCS (multimodal/complex intervention, ATCS Plus, IVR, unidirectional ATCS)

Comparison: usual care, no calls, controls (other ATCS)

Outcomes

Effect of interventionsa

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Behavioural outcome:

adherence to medication

Multimodal/complex interventionsb versus usual care or control

The effects of multimodal/complex interventions are inconclusive.

888

(2 studies)

See comment

Ho 2014 (N = 241) reported that the multimodal/complex intervention probably improves adherence to cardioprotective medications at 12 months (moderate certaintyc). Stuart 2003 (N = 647) found uncertain effects of the intervention on adherence to antidepressant medications (very low certaintyc,d).

Behavioural outcome: adherence to medication

ATCS Plus versus control or single IVR call

Results suggest that ATCS Plus probably slightly improve measures of adherence.

2340

(2 studies)

See comment

Cvietusa 2012 (N = 1393) reported that ATCS Plus, compared with control, probably improves time to first inhaled corticosteroid refill and probably slightly improves the proportion of days with medication on hand in children (moderate certaintye). Stacy 2009 (N = 947) reported that ATCS Plus probably slightly improves statin adherence at 6 months, compared with a single IVR call (moderate certaintyf).

Behavioural outcome: adherence to laboratory tests

ATCS Plus or IVR versus no intervention or usual care

Results suggest that ATCS Plus probably has little or no effect on adherence to testing, while IVR probably improves test completion.

15,218

(3 studies)

See comment

ATCS Plus versus no intervention

Derose 2009 (N = 13,057) found that ATCS Plus probably has little or no effect on adherence to testing (completion of all 3 recommended laboratory tests for diabetes patients) at 12 weeks (moderate certaintyg). Simon 2010b (N = 1200) found that these interventions probably have little or no effect on retinopathy examination rates or tests for glycaemia, hyperlipidaemia or nephropathy in diabetic patients at 12 months (moderate certaintyh).

IVR versus usual care

Feldstein 2006 (N = 961) found that IVR probably improves patients' completion of all recommended laboratory tests at 25 days follow‐up (moderate certaintyi).

Behavioural outcome: adherence to medication or composite outcome (medication adherence and rate of adverse events)

ATCS Plus versus usual care

Results indicate that ATCS Plus probably improves medication adherence and may slightly improve a composite measure.

35,816

(4 studies)

See comment

2 studies (Derose 2013 (N = 5216) and Vollmer 2014 (N = 21,752)) reported that ATCS Plus probably improves adherence to statins to some extent. Vollmer 2011 (N = 8517) found that ATCS Plus probably slightly improves adherence to inhaled corticosteroids (moderate certaintyj). Sherrard 2009 (N = 331) found that ATCS Plus may slightly improve a composite measure of medication adherence and adverse events at 6 months follow‐up (low certaintyc,k).

Behavioural outcome: adherence to medication or laboratory tests

IVR versus control

Results suggest that IVR probably improves slightly medication adherence.

4,238,362

(4 studies)

See comment

Adams 2014 (N = 475) found that IVR may slightly improve comprehensiveness of screening and counselling (low certaintyc,l). Bender 2010 (N = 50) reported that IVR may improve adherence to anti‐asthmatic medications at 2.5 months follow‐up (low certaintyc,e). Leirer 1991 (N = 16) reported that IVR may slightly reduce medication non‐adherence (low certaintym). Mu 2013 (N = 4,237,821) found that IVR probably slightly improves medication refill rates at 1 month (moderate certaintyn).

Behavioural outcome: adherence to medication

IVR versus usual care

Results indicate that IVR probably slightly improves some measures of medication adherence.

56,140

(8 studies)

See comment

2 studies (Boland 2014 (N = 70); Friedman 1996 (N = 267)) reported that IVR probably slightly improves adherence to glaucoma and anti‐hypertensive medications at 3 and 6 months respectively (moderate certainty).o

2 further studies (Glanz 2012 (N = 312); Migneault 2012 (N = 337)) reported that IVR has probably little or no effect on medication adherence at 8 and 12 months, respectively (moderate certainty).p

2 studies (Green 2011 (N = 8306); Reynolds 2011 (N = 30,610)) assessed adherence via refill rates, reporting that IVR probably slightly improves medication refill rates at 2 weeks (moderate certainty).q

2 further studies reported medication adherence assessed by medication possession ratio (MPR) at different time points. Patel 2007 (N = 15,051) found that IVR probably slightly improves MPR at 3 to 6 months, while Bender 2014 (N = 1187) reported that IVR probably improves MPR at 24 months (both studies of moderate certaintyr).

Behavioural outcome: adherence to medication

Unidirectional ATCS versus control

Results suggest that unidirectional ATCS may have little effect, or improve medication adherence to a small degree.

107

(2 studies)

See comment

2 studies (Lim 2013 (N = 80); Ownby 2012 (N = 27)) reported that the intervention may have little effect or slightly improve medication adherence (low certaintys).

Clinical outcome: blood pressure

Multimodal/complex, ATCS Plus, IVR versus usual care

Results suggest that ATCS Plus probably slightly reduces blood pressure, while multimodal/complex or IVR interventions probably have little or no effect on blood pressure.

22,597

(3 studies)

See comment

Multimodal/complex intervention versus usual care

Ho 2014 (N = 241) reported that multimodal intervention probably has little or no effect on achieving reduced blood pressure targets (moderate certaintyc).

ATCS Plus versus usual care

Vollmer 2014 (N = 21,752) reported that ATCS Plus probably slightly reduces systolic blood pressure (moderate certaintyt).

IVR versus usual care

Migneault 2012 (N = 337) reported that IVR probably has little or no effect on systolic or diastolic blood pressure (moderate certaintyc), while Friedman 1996 (N = 267) found that IVR may have little or no effect on systolic blood pressure but may slightly decrease diastolic blood pressure (low certaintyc,f).

Adverse outcome: unintended adverse events attributable to the intervention

Multimodal/complex intervention, ATCS Plus, IVR, unidirectional versus various controls

No studies reported adverse events.

ATCS Plus: automated telephone communication systems with additional functions; CI: confidence interval; HR: hazard ratio; IVR: interactive voice response; MPR: medication possession ratio; OR: odds ratio; RR: risk ratio; SD: standard deviation

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aMultimodal intervention included ATCS Plus, medication reconciliation and tailoring, patient education and collaborative care in Ho 2014; and education, nurse‐delivered call and IVR in Stuart 2003.
bThe findings presented are based on a narrative summary and synthesis of results that were not amenable to statistical analysis; please see Effects of interventions for detailed findings.
cDowngraded as results were obtained from a single study at potential risk of bias (−1).
dDowngraded as rated as at high risk for attrition, reporting and other bias and at unclear risk on randomisation and allocation concealment (‐2).
eDowngraded as almost all items were rated as being at unclear risk of bias (−1).
fDowngraded as rated as at unclear risk of bias on randomisation, allocation concealment and other items (−1).
gDowngraded as rated at unclear risk of bias on allocation concealment and other items (−1).
hDowngraded as rated as at unclear risk for all items (except attrition bias, rated as low risk) (−1).
iFeldstein 2006 did not appear to account for clustering, which may have resulted in an overestimation of the precision of the effect estimate (−1).
jThree studies assessed together (Derose 2013; Vollmer 2011; Vollmer 2014): downgraded for risk of bias (allocation concealment rated as unclear in two studies and performance bias rated as high risk in one study) (−1).
kDowngraded as rated at unclear risk of bias on randomisation and at high risk of detection bias (−1).
lDowngraded as rated at unclear risk of bias on most items (except performance bias, rated as low risk) (−1).
mDowngraded as all items were rated as being at unclear risk of bias (−1) and results were obtained from a single study with a very small sample size (N = 16) (−1).
nDowngraded as most items were rated as being at unclear risk of bias (except randomisation and allocation concealment); performance bias rated as high (−1).
oTwo studies assessed together (Boland 2014; Friedman 1996): downgraded for risk of bias as allocation concealment was rated as unclear in both studies, randomisation and attrition bias rated unclear in one study each, and there was a high risk of other bias (baseline imbalances) in one study (−1).
pTwo studies assessed together (Glanz 2012; Migneault 2012): downgraded for risk of bias as allocation concealment was rated as unclear in one study, and detection bias and other bias (baseline imbalances) were both rated as being at high risk in one study (−1).
qTwo studies assessed together (Green 2011; Reynolds 2011): downgraded for risk of bias as all items were rated as unclear in both studies (−1).
rDowngraded as all items were rated as being at unclear risk of bias (−1).
sTwo studies assessed together (Lim 2013; Ownby 2012): downgraded for risk of bias as allocation concealment and attrition bias were rated as being at unclear risk in both studies, and detection bias was rated as being at high risk in one study (−1); downgraded on imprecision as combined sample size was small (N = 107) (−1).
tDowngraded as allocation concealment was at unclear risk of bias, and there was a high risk of performance bias (−1).

Figuras y tablas -
Summary of findings 6. Long‐term management: effects of ATCS on adherence to medication or laboratory tests
Summary of findings 7. Long‐term management: effects of ATCS on alcohol consumption

ATCS versus control on alcohol consumption

Patient or population: participants addicted to alcohol

Settings: various settings

Intervention: ATCS (ATCS Plus, IVR)

Comparison: no intervention, usual care, advice/education or packaged CBT

Outcomes

Effect of interventiona

No of participants
(studies)

Quality of the evidence
(GRADE)

Behavioural outcomes: number of drinks per drinking day

ATCS Plus, IVR versus usual care, (various) controls at median follow‐up of 2 months

ATCS Plus versus usual care

Rose 2015 (N = 158) reported that ATCS Plus may have little or no effect on the number of drinks per drinking day at 2 months (low certaintyb,c).

ATCS Plus versus control (advice/education)

Hasin 2013 (N = 254) found that ATCS Plus may reduce the number of drinks per drinking day in the last 30 days at 2 months (low certaintyb,c), but it may have little effect at 12 months.

IVR versus control (information)

Rubin 2012 (N = 47) reported that IVR may slightly reduce the number of drinks per drinking day at 6 months (low certaintyc,e).

459

(3 studies)

⊕⊕⊝⊝
Low

Behavioural outcomes: drinking days, heavy drinking days, or total number of drinks consumed

ATCS Plus, IVR versus (various) controls

ATCS Plus versus no intervention

Mundt 2006 (N = 60) found that ATCS Plus may have little or no effect on drinking days, heavy drinking days, or total number of drinks consumed (low certaintyc,f).

ATCS Plus versus control (packaged CBT)

Litt 2009 (N = 110) found that ATCS Plus may have little or no effect on the number of heavy drinking days at 12 weeks posttreatment (low certaintyc,g).

IVR versus control (information)

Rubin 2012 (N = 47) reported that IVR may slightly reduce the number of heavy drinking days per month at 6 months (low certaintyc,e).

217

(3 studies)

⊕⊕⊝⊝
Low

Behavioural outcomes: proportion of days abstinent, other alcohol consumption indices, 12 weeks

ATCS Plus versus control (packaged CBT)

ATCS Plus may slightly reduce the proportion of days abstinent but have little or no effect on coping or drinking problems or continuity of abstinence (Litt 2009).

110

(1 study)

⊕⊕⊝⊝
Lowc,g

Behavioural outcomes: weekly alcohol consumption, 6 months

ATCS Plus versus usual care

ATCS Plus may have little or no effect on weekly alcohol consumption (Helzer 2008).

338

(1 study)

⊕⊕⊝⊝
Lowc,h

Behavioural outcomes: AUDIT score, 6 weeks

IVR versus control (no intervention)

IVR probably improve slightly AUDIT scores (Andersson 2012).

1423

(1 study)

⊕⊕⊕⊝
Moderatei

Behavioural outcomes: other alcohol consumption indices, 4 weeks

IVR versus control (no intervention)

IVR may have little or no effect on drinking habits, alcohol craving, or PTSD symptoms (Simpson 2005).

98

(1 study)

⊕⊕⊝⊝
Lowc,h

Adverse outcome: unintended adverse events attributable to the intervention

ATCS Plus, IVR versus various controls

No studies reported adverse events.

ATCS Plus: automated telephone communication systems with additional functions; AUDIT: Alcohol Use Disorders Identification Test; CBT: cognitive behavioural therapy; IVR: interactive voice response; PTSD: post‐traumatic stress disorder.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aThe findings presented in this table are based on a narrative summary and synthesis of results that were not amenable to statistical analysis; please see Effects of interventions for detailed findings.
bDowngraded as all items except randomisation were rated as being at unclear risk of bias (−1).
cResults were obtained from a single small study at potential risk of bias (−1).
dDowngraded as allocation concealment was rated as being at unclear risk of bias, and there was a high risk of performance bias (−1).
eDowngraded as all items except 'other' bias were rated as being at unclear risk of bias (−1).
fDowngraded as rated as being at unclear risk of bias on randomisation, allocation concealment and others, and at high risk of attrition bias (−1).
gDowngraded as rated as being at unclear risk of bias on allocation concealment and attrition bias, and at high risk of performance bias (−1).
hDowngraded as rated as being at unclear risk of bias on randomisation, allocation concealment and other items (−1).
iDowngraded as all items were rated as being at unclear risk of bias (−1).

Figuras y tablas -
Summary of findings 7. Long‐term management: effects of ATCS on alcohol consumption
Summary of findings 8. Long‐term management: effects of ATCS on severity of cancer symptoms

ATCS versus control on severity of cancer symptoms

Patient or population: cancer patients

Settings: various settings

Intervention: ATCS (multimodal/complex intervention, ATCS Plus, IVR)

Comparison: usual care, control (other ATCS, nurse‐delivered calls)

Outcomes

Effects of interventiona

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Clinical outcomes: symptoms (severity or burden)

ATCS Plus versus usual care (via ATCS) or control, 4‐12 weeks

Results suggest that ATCS Plus may have little or no effect on symptom severity, distress or burden.

701

(4 studies)

See comment

Cleeland 2011 (N = 79) found that ATCS Plus may slightly reduce symptom threshold events and cumulative distribution of symptom threshold events; and it may have little or no effect on mean symptom severity between discharge and 4 week follow‐up (low certaintyb,c). Mooney 2014 (N = 250) found that ATCS Plus probably has little or no effect on symptom severity scores at 6 week follow‐up (moderate certaintyc). Spoelstra 2013 (N = 119) found that ATCS Plus may have little or no effect on symptom severity at 10 week follow‐up (low certaintyc,d). Yount 2014 (N = 253) reported that ATCS Plus may have little or no effect on symptom burden at 12 weeks (low certaintyc,e).

Clinical outcomes: symptom severity, 10 weeks

IVR versus nurse delivered calls

Results suggest that IVR may have little or no effect on symptom severity.

437

(1 study)

⊕⊕⊝⊝
Lowc,f

Clinical outcomes: pain

Multimodal/complex interventiong versus usual care

Results indicate that multimodal intervention probably reduces pain at 3 months and probably slightly reduces pain at 12 months.

405

(1 study)

⊕⊕⊕⊝
Moderatec

Clinical outcomes: depression

Multimodal/complex interventiong versus usual care

Results indicate that multimodal intervention probably slightly reduces depression at 3 and 12 months.

405

(1 study)

⊕⊕⊕⊝
Moderatec

Clinical outcomes:distress, 6 weeks

ATCS Plus versus usual care (via IVR)

Results indicate that ATCS Plus probably has little or no effect on distress.

250

(1 study)

⊕⊕⊕⊝
Moderatec

Behavioural outcome: medication adherence

ATCS Plus versus usual care

Results indicate that ATCS Plus may have little or no effect on medication non‐adherence.

119

(1 study)

⊕⊕⊝⊝
Lowc,d

Adverse outcome: unintended adverse events attributable to the intervention

Multimodal/complex intervention, ATCS Plus, IVR versus various controls

No studies reported adverse events.

ATCS: automated telephone communication systems; ATCS Plus: automated telephone communication systems with additional functions; IVR: interactive voice response.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aThe findings presented in this table are based on a narrative summary and synthesis of results that were not amenable to statistical analysis; please see Effects of interventions for detailed findings.
bDowngraded as allocation concealment was rated as being at unclear risk of bias (−1).
cDowngraded as results were obtained from a single study at potential risk of bias (−1).
dDowngraded as randomisation and allocation concealment were rated as being at unclear risk of bias, and selective reporting rated as high risk (−1).
eDowngraded as randomisation and allocation concealment were rated as being at unclear risk of bias, and performance bias was rated as being at high risk (−1).
fDowngraded as allocation concealment was rated as being at unclear risk of bias, along with several other items (−1).
gMultimodal/complex intervention included ATCS plus symptom monitoring by a nurse and medications.

Figuras y tablas -
Summary of findings 8. Long‐term management: effects of ATCS on severity of cancer symptoms
Summary of findings 9. Long‐term management: effects of ATCS in the management of diabetes mellitus

ATCS versus usual care for managing diabetes mellitus

Patient or population: patients with diabetes mellitus
Settings: various settings
Intervention: ATCS (ATCS Plus, IVR)

Comparison: usual care

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of Participants
(studies)

Quality of the evidence
(GRADE)

Commentsa

Assumed risk

Corresponding risk

Usual care

ATCS

Clinical outcome: glycated haemoglobin or blood glucose

ATCS Plus, IVR versus usual care at median follow‐up of 6 months

The mean glycated haemoglobin in the control groups was 8.41%

The mean glycated haemoglobin in the intervention groups was
0.26% lower
(0.50 to 0.01 lower)

Not estimable

1216
(7 studies)

⊕⊕⊝⊝
Lowb

ATCS Plus versus usual care

1 further study, Katalenich 2015 (N = 98), found that ATCS Plus may have little or no effect on median glycated haemoglobin levels compared with usual care at 6 months follow‐up (low certaintyc).

IVR versus usual care

1 additional study, Homko 2012 (N = 80), found that IVR may have little or no effect on fasting blood glucose levels in pregnancy or infant birth weight at 26 months (low certaintyc).

Behavioural outcome: self‐monitoring of diabetic foot

(various scales)

ATCS Plus versus usual care at 12 months follow‐up

The mean self‐monitoring of diabetic foot in the control groups was 4.5 (range from 0 to 7, with higher scores indicating better foot care)

The mean self‐monitoring of diabetic foot in the intervention groups was
0.40 points higherd
(0.10 to 0.71 points higher)

Not estimable

498
(2 studies)

⊕⊕⊕⊝
Moderatee

Behavioural outcome: self‐monitoring of blood glucose

ATCS Plus, IVR versus usual care, 6‐12 months

See comment

See comment

Not estimable

See comment

See comment

ATCS Plus versus usual care

Lorig 2008 (N = 417) found that ATCS Plus may have little no effect on self‐monitoring of blood glucose at 6 months (low certainty evidencef). At 12 months, 2 studies (Piette 2001 (N = 272); Schillinger 2009 (N = 339)) reported that ATCS Plus probably slightly improves self‐monitoring of blood glucose (moderate certaintye).

IVR versus usual care

Graziano 2009 (N = 112) found that IVR probably slightly increases the mean change in frequency of self‐monitoring of blood glucose (moderate certainty evidenceg).

Behavioural outcome: medication adherence or use

ATCS Plus versus usual care, 6‐12 months

See comment

See comment

Not estimable

370

(2 studies)

See comment

Katalenich 2015 (N = 98) reported that ATCS Plus may have little or no effect on adherence rates at 6 months (low certaintyc), and Piette 2001 (N = 272) found that ATCS Plus has probably little or no effect on medication use at 12 months (moderate certaintyg.

Behavioural outcome: physical activity, diet, weight monitoring

ATCS Plus versus usual care, 6‐12 months

See comment

See comment

Not estimable

1028

(3 studies)

See comment

Lorig 2008 (N = 417) found that ATCS Plus may have little or no effect on aerobic exercise at 6 months (low certaintyf).

Schillinger 2009 (N = 339) found that ATCS Plus may slightly improve diet and exercise and moderate intensity physical activity levels, but it may have little or no effect on vigorous intensity physical activity levels at 12 months (low certaintyc).

Piette 2001 (N = 272) reported that ATCS Plus probably has little or no effect on weight monitoring (moderate certaintyg).

Adverse outcome: unintended adverse events attributable to the intervention

ATCS Plus, IVR versus usual care

No studies were found that reported adverse events.

The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

ATCS Plus: automated telephone communication systems with additional functions; CI: confidence interval; HRQoL: health‐related quality of life; IVR: interactive voice response; SMD: standardised mean difference.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aAdditional results are based on a narrative summary and synthesis of results that were not amenable to statistical analysis; please see Effects of interventions for detailed findings.
bDowngraded as allocation concealment was rated as being at unclear risk in four studies and attrition bias was rated as being at high risk in two studies (−1), and there was a moderate level of heterogeneity in the results (−1).
cDowngraded as allocation concealment was rated as being at unclear risk (−1), and results were based on a single small study at some potential risk of bias (−1).
dAn SD of 1.7 (on a 7‐point Likert scale, where higher score means better behavioural outcome) was chosen from a representative study by Schillinger 2009, and this was used to convert the SMD to a familiar scale. 0.24 (SMD) x 1.7 (SD) = 0.40 points higher (on a 7 point scale).
eTwo studies assessed together (Piette 2001; Schillinger 2009): downgraded as allocation concealment was rated as being at unclear risk in one study and performance bias was rated as being high risk in one study (−1).
fDowngraded as all items were rated as being at unclear risk, except attrition bias which was rated as being at high risk of bias (−1), and results were based on a single study at some risk of bias (−1).
gDowngraded as results were based on a single study (−1).

Figuras y tablas -
Summary of findings 9. Long‐term management: effects of ATCS in the management of diabetes mellitus
Summary of findings 10. Long‐term management: effects of ATCS in patients with heart failure

ATCS versus usual care for patients with heart failure

Patient or population: patients with heart failure
Settings: various settings
Intervention: ATCS (multimodal/complex intervention, ATCS Plus, IVR)

Comparison: usual care or usual community care

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Commentsa

Assumed risk

Corresponding risk

Usual care or usual community care

ATCS

Clinical outcome: cardiac mortality

ATCS Plus, IVR versus usual care or usual community care at median follow‐up of 11.5 months

Study populationb

RR 0.60
(0.21 to 1.67)

215
(2 studies)

⊕⊝⊝⊝
Very lowd,e

95 per 1000

57 per 1000
(20 to 158)

Moderatec

96 per 1000

58 per 1000
(20 to 160)

Clinical outcome: all‐cause mortality

ATCS Plus versus usual care or usual community care at median follow‐up of 11 months

Study populationb

RR 1

(0.79 to 1.28)

2165
(3 studies)

⊕⊕⊕⊝
Moderatef

106 per 1000

106 per 1000
(84 to 136)

Moderatec

106 per 1000

106 per 1000
(84 to 136)

Clinical outcome: heart failure hospitalisation

ATCS Plus, IVR versus usual care or usual community care at median follow‐up of 11.5 months

See comment

See comment

Not estimable

2329

(4 studies)

See comment

ATCS Plus versus usual care or usual community care

Chaudhry 2010 (N = 1653) found that the intervention had little or no effect on hospitalisation for heart failure (high certainty).

Krum 2013 (N = 405) also reported that there was probably little or no effect of the intervention for this same outcome (moderate certaintyg), while Capomolla 2004 (N = 133) reported that ATCS Plus may decrease hospitalisation rates for heart failure (low certaintyh).

IVR versus usual care

Kurtz 2011 (N = 138) reported that IVR intervention has uncertain effects on hospitalisation for heart failure (very low certaintyi).

Clinical outcome: all‐cause hospitalisation

ATCS Plus versus usual care or usual community care

See comment

See comment

Not estimable

2191 participants

(3 studies)

See comment

ATCS Plus versus usual care

Capomolla 2004 (N = 133) found that ATCS Plus may reduce all‐cause hospitalisation (for chronic heart failure, cardiac cause and other cause; low certaintyh), and Krum 2013 (N = 405) similarly reported that the intervention probably slightly decreased all‐cause hospitalisation (moderate certaintyg).fChaudhry 2010 (N = 1653) found that ATCS Plus has little or no effect on readmission for any reason (high certainty).

Clinical outcome: global health (well‐being) rating

(7‐item questionnaire)

ATCS Plus versus usual care

12 months

See comment

See comment

Not estimable

405 participants

(1 study)

⊕⊕⊕⊝
Moderateg

Krum 2013 (N = 405) reported that ATCS Plus probably increases slightly the proportion of patients with improved global health questionnaire ratings at 12 months.

Clinical outcome: emergency room and other health service use outcomes

ATCS Plus versus usual care or usual community care

See comment

See comment

Not estimable

1786 participants

(2 studies)

See comment

Emergency room use

Capomolla 2004 (N = 133) found that ATCS Plus may reduce emergency room use at (median) 11 months (low certaintyh).

Other service use

Chaudhry 2010 (N = 1653) found that ATCS Plus had little or no effect on number of days in hospital or number of hospitalisations (readmissions)(high certainty).

Adverse outcome: unintended adverse events attributable to the intervention

ATCS Plus, IVR versus usual care

See comment

See comment

See comment

1791

(2 studies)

See comment

ATCS Plus versus usual care

Chaudhry 2010 (N = 1653) reported that no adverse events had occurred during the study (high certainty).

IVR versus usual care

Kurtz 2011 (N = 138) classified adverse events as cardiac mortality plus rehospitalisation for heart failure, reporting uncertain effects upon this composite outcome (very low certaintyi).

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

ATCS Plus: automated telephone communication systems with additional functions; CI: confidence interval; CI: confidence interval; RR: risk ratio.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aAdditional results are based on a narrative summary and synthesis of results that were not amenable to statistical analysis; please see Effects of interventions for detailed findings.
bThe assumed risk represents the mean control group risk across studies (calculated by GRADEPro).
cThe assumed risk represents the median control group risk across studies (calculated by GRADEPro).
dDowngraded as selection bias was rated as being at high risk in one study and allocation concealment was rated as being at unclear risk in both (−1).
eDowngraded as the total number of events is less than 300 (−1), and wide CIs around the effect estimate included both a substantial potential benefit and a substantial potential harm (−1).
fDowngraded as risk of bias was unclear on randomisation in one study and allocation concealment in two studies (Capomolla 2004; Krum 2013) (−1).
gDowngraded as result is based on a single study (−1).
hDowngraded as randomisation and allocation concealment judged as being at unclear risk of bias (−1); downgraded as results are based on a single study (−1).
iDowngraded as randomisation judged as being at high risk and unclear on allocation concealment and other items (‐2); downgraded as result is based on a single study (−1).

Figuras y tablas -
Summary of findings 10. Long‐term management: effects of ATCS in patients with heart failure
Summary of findings 11. Long‐term management: effects of ATCS in the management of hypertension

ATCS versus usual care for management of hypertension

Patient or population: patients with hypertension
Settings: various settings
Intervention: ATCS (multimodal/complex intervention, ATCS Plus, IVR, unidirectional)

Comparison: usual care, with and without education

Outcomes

Illustrative comparative risks* (95% CI)

No of Participants
(comparisons)

Quality of the evidence
(GRADE)

Commentsa

Assumed risk

Corresponding risk

Usual care

ATCS

Clinical outcome: systolic blood pressure (automated sphygmomanometer or electronic pressure monitor)

ATCS Plus or IVR versus usual care at median follow‐up of 6 weeks

The mean systolic blood pressure in the control group was 141.1 mmHg

The mean systolic blood pressure in the intervention groups was
1.89 mmHg lower

(2.12 to 1.66 lower)

65,256
(3 studies)

⊕⊕⊕⊝
Moderateb

1 additional study (Dedier 2014) (N = 253) reported that compared with usual care plus education, IVR may have little or no effect on systolic blood pressure at 3 months (low certaintyc).

Clinical outcome: diastolic blood pressure (automated sphygmomanometer and electronic cuff)

ATCS Plus, unidirectional versus usual care at median follow‐up of 14 weeks

The mean diastolic blood pressure in the control group was 81.2 mmHg

The mean diastolic blood pressure in the intervention groups was

0.02 mmHg higher

(2.62 lower to 2.66 higher)

65,056
(2 studies)

⊕⊕⊝⊝
Lowd,e

Clinical outcome: blood pressure control, 26 weeks

Multimodal/complex interventionf versus usual care

See comment

See comment

166

(1 study)

⊕⊕⊕⊝
Moderateg

Bove 2013 (N = 241) found that a multimodal/complex intervention probably has little or no effect on blood pressure control.

Clinical outcome:

Health statush, depressioni, 6 weeks

ATCS Plus versus enhanced usual care (plus information)

See comment

See comment

200

(1 study)

⊕⊕⊝⊝
Lowj

Piette 2012 (N = 200) found that ATCS Plus may slightly improve health status and may decrease depressive symptoms.

Behavioural outcome: medication use

Multimodal/complexk, ATCS Plus versus usual care or enhanced usual care (plus information)

See comment

See comment

483

(2 studies)

⊕⊕⊝⊝
Low

Multimodal/complex versus usual care

Magid 2011 (N = 283) found that multimodal/complex intervention may have little or no effect on medication adherence assessed by Medication Possession Ratio or proportion adherent (low certaintyl).

ATCS Plus versus enhanced usual care

Piette 2012 (N = 200) found that ATCS Plus may reduce the number of medication‐related problemsm (low certaintyj).

Behavioural outcome: physical activity levels, 12 weeks

IVR versus enhanced usual care

See comment

See comment

253

(1 study)

⊕⊕⊝⊝
Lowc

IVR versus enhanced usual care

Dedier 2014 (N = 253) reported that IVR may slightly increase physical activity levels.

Adverse outcome: unintended adverse events attributable to the intervention

Multimodal/complex intervention, ATCS Plus, IVR, unidirectional ATCS versus various controls

No studies reported adverse events.

ATCS Plus: automated telephone communication systems with additional functions; CI: confidence interval; IVR: interactive voice response; MD: mean difference; SD: standard deviation.

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aAdditional results are based on a narrative summary and synthesis of results that were not amenable to statistical analysis; please see Effects of interventions for detailed findings.
bDowngraded as risk of bias for randomisation was rated unclear in one study, allocation concealment was rated as at unclear risk in two studies, and in one study each, performance bias and other bias (baseline imbalances in blood pressure) were rated as being at high risk (−1).
cDowngraded as all domains were judged to be at unclear risk of bias (−1), and results were based on a single small study at some potential risk of bias (−1).
dDowngraded due to unclear risk of bias for allocation concealment in one study, and high risk for other bias (baseline imbalances in blood pressure) in one study (−1).
eDowngraded as a substantial amount of heterogeneity was detected and effects were in opposite directions (−1).
fMultimodal/complex intervention included ATCS Plus plus sphygmanometer, a weighting scale, pedometer and instructions on their use.
gDowngraded as results were based on a single small study at some potential risk of bias (−1).
hHealth status was self‐reported perceived general health status, assessed on a 5‐point scale (where 1 = poor, 2 = fair, 3 = good, 4 = very good, and 5 = excellent).
iDepression assessed using the 10‐item Center for Epidemiological Studies‐Depression Scale.
jDowngraded as risk of bias was rated as unclear for allocation concealment and most other domains, with a high risk of performance bias (−1); and results were based on a single small study at some potential risk of bias (−1).
kMultimodal/complex intervention included ATCS Plus plus patient education, home blood pressure monitoring, and clinical pharmacist management of hypertension with physician oversight.
lDowngraded due to high risk of bias for other bias (baseline imbalances in blood pressure) (−1); results were based on a single small study at some potential risk of bias (−1).
mMedication‐related problems assessed using a 7‐item scale (yes/no responses) on barriers to medication taking, including cost, side effects, complexity of regimen, worries over taking medicines and/or over long‐term effects of medication.

Figuras y tablas -
Summary of findings 11. Long‐term management: effects of ATCS in the management of hypertension
Summary of findings 12. Long‐term management: effects of ATCS on smoking cessation

ATCS versus control for smoking cessation

Patient or population: patients with tobacco dependence
Settings: various settings
Intervention: ATCS (multimodal/complex intervention, ATCS Plus, IVR)

Comparison: usual care, control (no calls, 'placebo' (inactive) ATCS, self‐help intervention, stage‐matched manuals)

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Commentsa

Assumed risk

Corresponding risk

Control

ATCS

Behavioural outcome: smoking abstinence

Multimodal/complex intervention, ATCS Plus, IVR versus (various) controls or usual care at median follow‐up of 12 months

Study populationb

RR 1.2
(0.98 to 1.46)

2915
(7 studies)

⊕⊕⊝⊝
Lowd,e

ATCS Plus versus usual care

1 further study, Reid 2011 (N = 440), reported that ATCS Plus may improve smoking abstinence rates at 26 weeks, and this may be maintained at 52 weeks (low certainty evidencef).

201 per 1000

241 per 1000
(197 to 293)

Moderatec

241 per 1000

289 per 1000
(236 to 352)

Behavioural outcome: medication use

Multimodal/complex, ATCS Plus versus control (inactive IVR or self‐help booklet)

See comment

See comment

See comment

1127

(2 studies)

⊕⊕⊕⊝

Moderateg

Multimodal/complex intervention versus control (self‐help booklet)

Brendryen 2008 (N = 396) found that a multimodal/complex intervention probably has little or no effect on adherence to NRT (moderate certainty evidence).

ATCS Plus versus control (inactive IVR)

Regan 2011 (N = 731) found that ATCS Plus probably has little or no effect on medication use (moderate certainty evidence).

Behavioural outcome: support programme enrolment

ATCS Plus versus control (inactive IVR)

See comment

See comment

See comment

521

(1 study)

⊕⊕⊝⊝
Lowh

Carlini 2012 found that ATCS Plus may improve re‐enrolment into a quit line support programme.

Adverse outcome: unintended adverse events attributable to the intervention

Multimodal/complex intervention, ATCS Plus, IVR versus various controls

No studies were found that reported adverse events.

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

ATCS Plus: automated telephone communication systems with additional functions; CI: confidence interval; IVR: interactive voice response; NRT: nicotine replacement therapy; OR: odds ratio; RR: risk ratio;

GRADE Working Group grades of evidence
High quality: further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: we are very uncertain about the estimate.

aAdditional results are based on a narrative summary and synthesis of results that were not amenable to statistical analysis; please see Effects of interventions for detailed findings.
bThe assumed risk represents the mean control group risk across studies (calculated by GRADEPro).
cThe assumed risk represents the median control group risk across studies (calculated by GRADEPro).
d Downgraded due to unclear risk of bias for allocation concealment in four studies and high risk of attrition bias in one study (−1).
eDowngraded for inconsistency, as two studies by Ershoff 1999 and McNaughton 2013 showed contradictory results favouring the control group and heterogeneity was moderate overall (−1).
fDowngraded as all items were judged to be at an unclear risk of bias (−1), and results were based on a single study at some risk of bias (−1).
gDowngraded as results (for each outcome) were based on a single study (−1).
hDowngraded as most items were judged to be at unclear risk of bias (−1), and results were based on a single study at some risk of bias (−1).

Figuras y tablas -
Summary of findings 12. Long‐term management: effects of ATCS on smoking cessation
Table 1. Results

Dichotomous outcomes

Primary outcome

Study ID

Timing of outcome assessment (months)

Intervention group

Comparator group

Between group difference

Notes

Observed (n)

Total (N)

Observed (n)

Total (N)

P value

Effect estimate (OR/RR/HR)

95% CI

IMMUNISATIONS

Immunisation uptake

Dini 2000

24

107

189

87

186

1.21

0.99 to 1.47

Franzini 2000

*

270

314

273

429

Hess 2013

3

146

5599

46

6383

< 0.001

3.69

2.64 to 5.15

Cluster RCT unadjusted for clustering. Approximate sample size calculations gave the following adjusted values: intervention 20/791; control 6/902; see Appendix 14 for calculations

Lieu 1998

4

89

167

70

162

0.11

29.0 to 43.8

CIs for % values and for IVR alone; P value from Chi2

Linkins 1994

1

1684

4636

955

3366

< 0.01

1.28

1.20 to 1.37

LeBaron 2004

13

305

763

259

763

< 0.05

Nassar 2014

2

3

26

3

24

Stehr‐Green 1993

1

46

112

41

110

1.07

0.78 to 1.46

Szilagyi 2006

18

928

1496

873

1510

0.02

Szilagyi 2013

12

748

1423

651

1296

< 0.05

1.3

1.0 to 1.7

SCREENING

Screening rate

Baker 2014

6

191

225

90

225

< 0.001

Cohen‐Cline 2014

6

801

8005

234

3005

0.0012

1.32

1.14 to 1.52

Corkrey 2005

3

45,303

30,229

1.28 to 1.42a

0.11 to 0.17b

aWomen aged 50‐69 years

bWomen aged 20‐49 years

DeFrank 2009

10 to 14

960

1355

574

847

0.014

1.32

1.06 to 1.64

Fiscella 2011

12

55a

47b

134a

163b

23a

16b

137a

160b

3.44a

3.70b

1.91 to 6.19a

1.93 to 7.09b

aBreast cancer screening;

bColorectal cancer screening

Fortuna 2014

12

36a

24b

158a

157b

28a

19b

157a

156b

> 0.05

1.4a

1.3b

0.8 to 2.4a

0.7 to 2.5b

aBreast cancer screening;

bColorectal cancer screening (both crude estimates)

Hendren 2014

12

30a

43b

101a

114b

15a

21b

90a

126b

0.034a

0.0002b

1.96a

3.22b

0.87 to 4.39a

1.65 to 6.30b

aBreast cancer screening;

bColorectal cancer screening

Heyworth 2014

12

385

1565

290

1558

< 0.001

Mosen 2010

6

662

2943

474

2962

< 0.001

1.31

1.10 to 1.56

Phillips 2015

9

19a

33b

90a

198b

17a

27b

88a

199b

aBreast cancer screening;

bColorectal cancer screening

Simon 2010a

12

3192

10,432

3194

10,506

0.76

1.01

0.94 to 1.07

In the adjusted model

Solomon 2007

10

144

997

97

976

0.006

1.52

1.13 to 2.05

In the adjusted model

APPOINTMENT REMINDERS

Reducing non‐attendance rates

Dini 1995

1

144

277

78

240

< 0.05

1.60

1.29 to 1.98

Griffin 2011

1.5

333a

169b

794a

411b

324a

164b

790a

409b

> 0.05

−6 to 5a

−8 to 7b

aColonoscopy

bFlexible sigmoidoscopy

Maxwell 2001

2

347

700

322

670

> 0.05

Parikh 2010

4

2662

3219

2576

3350

< 0.001

1.52

1.34 to 1.71

Reekie 1998

1.5

473

500

453

500

< 0.001

3.41

1.87 to 6.20

Tanke 1994

6

257

407

235

456

< 0.01

1.50

Tanke 1997

3 days

652

701

617

701

< 0.05

1.71

ADHERENCE

Adherence to medications/laboratory tests

Bender 2010

2.5

16

25

12

25

0.003

Derose 2009

3

453

2199

298

1550

0.31

1.09

0.92 to 1.28

At 8 weeks differences were not significant (P = 0.23)

Feldstein 2006

25 days

177

267

53

237

< 0.001

4.1

3.0 to 5.6

Friedman 1996

6

24

133

16

134

0.03

Glanz 2012

12

47

157

42

155

> 0.05

Green 2011

2 weeks

1180

4124

958

4182

< 0.001

Ho 2014

12

109

122

88

119

0.003

Lim 2013

5

29

38

34

42

0.233

After the mid‐study visit

Migneault 2012

12

169

168

0.19

Mu 2013

1

1096975

4153634

18395

84187

< 0.001

Patel 2007

3 to 6

3362

6833

1865

4172

Reynolds 2011

2 weeks

4318

15,356

3309

15,254

< 0.001

Sherrard 2009

6

70

137

55

143

0.041

0.60

0.37 to 0.96

Primary composite outcome of adherence and adverse effects (emergency room visit and hospitalisation)

Simon 2010b

12

600

600

0.93

0.71 to 1.22

Stacy 2009

6

178

253

148

244

< 0.05

1.54

1.13 to 2.10

Vollmer 2011

18

3171

3260

0.002

0.01 to 0.03

P value and CIs for Δ change

Vollmer 2014

12

7247

7255

0.022

0.011 to 0.034

P value and CIs for Δ change

HEART FAILURE

Heart failure hospitalisation

Capomolla 2004

10 ± 6 (median 11)

17

67

58

66

< 0.05

Kurtz 2011

12

4

32

17

50

< 0.05

This was a cluster outcome: "cardiovascular deaths and hospitalisations‐ which ever event occurred first"

All‐cause mortality

Capomolla 2004

10 ± 6 (median 11 )

5

67

7

66

> 0.05

Chaudhry 2010

6

92

826

94

827

0.86

0.97

0.73 to 1.30

Death or readmission

Krum 2013

12

17

170

16

209

0.439

1.36

0.63 to 2.93

Cardiac mortality

Capomolla 2004

10 ± 6 (median 11)

2

67

6

66

> 0.05

Kurtz 2011

12

3

32

5

50

> 0.05

Cluster outcome: "cardiovascular deaths and hospitalisations‐ which ever event occurred first"

SMOKING

Smoking abstinence

Brendryen 2008

12

74

197

48

199

0.02

1.91

1.12 to 3.26

Ershoff 1999

9

20

120

25

111

McNaughton 2013

12

12

23

14

21

0.33

Regan 2011

3

105

361

95

364

1.13

0.90 to 1.41

Reid 2007

12

23

50

17

49

0.25

1.60

0.71 to 3.60

Rigotti 2014

6

51

198

30

199

0.009

1.71

1.14 to 2.56

Velicer 2006

30

75

500

65

523

For 6 month prolonged abstinence

Continous outcomes

Primary outcome

study ID

Timing of outcome assessment (months)

Intervention group

Comparator group

Between‐group difference

Notes

Mean

Standard

deviation

of change (SD) or SD

Mean

Standard deviation of change (SD) or SD

Change

Confidence intervals

P values

ALCOHOL CONSUMPTION

Drinks per drinking day

Hasin 2013

2

3.5

1.8

4.7

3.2

1.38

1.12 to 1.70

< 0.01

CIs are for the effect size

Rose 2015

2

4

0.4

4.3

0.4

0.45

CANCER

Symptom severity

Cleeland 2011

1

Effect size: intervention = 0.75; control = 0.68

Mooney 2014

1.5

5.76 to 7.36 (range)

5.55 to 7.44 (range)

0.06

0.58

Sikorskii 2007

2.5

20.73

20.80

> 0.05

Effect size: intervention = 0.59; control = 0.56

Spoelstra 2013

2.5

11.6

11.0

0.02

DIABETES

Glycated haemoglobin (%)

Graziano 2009

3

7.87

1.09

7.82

1.14

0.89

Katalenich 2015

6

8.10

7.90

> 0.05

Median values

Khanna 2014

3

9.1

1.9

8.6

1.3

0.41

Kim 2014

12

9.0

2

9.9

2.2

0.02

Lorig 2008

6

7.0

1.4

7.3

1.5

0.04

Piette 2001

12

8.1

1.15

8.2

1.18

0.3

Schillinger 2009

12

8.7

1.9

9.0

2.2

0.1

0.5 to 0.4

0.8

Williams 2012

6

7.9

1.2

8.7

1.8

0.91

0.86 to 0.93

0.002

Serum blood glucose (mg/dL)

Piette 2001

12

180

9

172

10

0.6

Homko 2012

26

107.4

12.9

109.7

16.5

0.44

Self‐monitoring of blood glucose

Graziano 2009

3

1.9

1.07

1.3

0.75

< 0.001

Lorig 2008

6

0.05

0.387

0.08

0.365

0.457

Piette 2001

12

4.6

0.1

4.4

0.1

0.05

Schillinger 2009

12

4.3

2.6

3.3

2.9

0.8

0.1 to 1.5

0.03

Self‐monitoring of diabetic foot

Piette 2001

12

4.6

0.1

4.4

0.1

Schillinger 2009

12

5.1

1.4

4.6

1.7

0.6

0.2 to1.0

0.002

HYPERTENSION

Systolic Blood Pressure (mm Hg)

Dedier 2014

3

136.4

83.5

138.9

81.5

> 0.05

Goulis 2004

6

123.8

14.2

128.6

19.4

> 0.05

Friedman 1996

6

158

*

160.2

*

−1.8

0.20

Harrison 2013

1

141.2

15.1

143.1

14.6

< 0.001

Magid 2011

6

137.4

19.4

136.7

17.0

−0.7

0.006

Piette 2012

6 weeks

142.5

2.3

143.6

2.4

−4.2

−9.1 to 0.7

0.09

Diastolic Blood Pressure (mm Hg)

Friedman 1996

6

80.9

83.2

0.02

Goulis 2004

6

74.6

8.5

79.5

14.0

> 0.05

Harrison 2013

1

80.3

12.6

81.3

12.5

< 0.001

Magid 2011

6

82.9

12.9

81.1

11.7

−2.3

−4.9 to −0.2

0.07

OBSTRUCTIVE SLEEP APNOEA SYNDROME (OSAS)

Continuous positive airway pressure (CPAP) use

DeMolles 2004

2

4.4

2.9

0.076

Sparrow 2010

12

1.18 to 2.48

0.004

WEIGHT MANAGEMENT

BMI in adults

Bennett 2012

18

36.54

2.01

36.84

1.90

−0.35

−0.75 to 0.06

Bennett 2013

18

29.8

1.90

30.3

1.93

−0.6

−1.2 to −0.1

0.03

Goulis 2004

6

33.7

5.2

37.2

8.7

0.06

BMI‐z scores in children

Estabrooks 2009

12

1.95

0.04

1.98

0.03

> 0.05

Wright 2013

3

1.9

0.28

1.9

0.3

−0.03

0.48

Analyses limited to primary outcomes from at least 2 studies from the same category.

Figuras y tablas -
Table 1. Results
Table 2. Participants

Study ID

Study typea

Study subtypeb

Country

Sample size

Mean age (years unless stated otherwise)

Male (%)

Female (%)

Ethnicityc

Duration of condition

Comorbidities, medication

Incentives for participation

Incentives

Tucker 2012

P

Alcohol misuse

USA

187

45

63

37

White ‐ 54%

Other ‐ 46%

Yes

Visa gift cards or checks (USD 50 per in‐person interview, USD 15 per phone interview). IG participants received USD 0.50 minimum for each daily call and USD 1.00 after seven

consecutive calls

Franzini 2000

P

I

USA

1138

Hess 2013

P

I

USA

11,982

72

Dini 2000

P

I

USA

1227

2‐3 months

LeBaron 2004

P

I

USA

3050

9 monthsd

49

51

Black ‐ 76%

Hispanic ‐ 14%

White ‐ 7%

Other – 3%

Lieu 1998

P

I

USA

752

20 months

Linkins 1994

P

I

USA

8002

51

49

Black ‐ 50%

White ‐ 45%

Other – 5%

Nassar 2014

P

I

USA

50

24

0

100

Black ‐ 86%

White ‐ 14%

Yes

USD 35 per month to help pay for cell phone service or a free, unlimited minutes cell phone until 6 weeks postpartum

Stehr‐Green 1993

P

I

USA

229

9 months

52

48

Black ‐ 90%

Other – 7%

Hispanic ‐ 3%

Szilagyi 2006

P

I

USA

3006

51

49

Other – 41%

Black ‐ 35%

White ‐ 17%

Hispanic ‐ 7%

Szilagyi 2013

P

I

USA

4115

14

50

50

David 2012

P

Physical activity

USA

71

57

0

100

White ‐ 93%

Other ‐ 7%

Dubbert 2002

P

Physical activity

USA

181

69

99

1

Mean (SD) number of comorbidities

IG: 3.8 (1.5)

CG: 3.9 (1.4)

Yes

USD 15 for completing each
visit to help defray expenses

Jarvis 1997

P

Physical activity

USA

85

67

24

76

Other ‐ 70%

Black ‐ 30%

Mean co‐morbidities: 3

 —

 —

King 2007

P

Physical activity

USA

218

61

31

69

White ‐ 90%

Other ‐ 10%

Morey 2009

P

Physical activity

USA

398

78

100

0

White ‐ 77%

Black ‐ 23%

Mean (SD) number of diseases

IG: 5.2 (2.5)

CG: 5.5 (2.7)

Morey 2012

P

Physical activity

USA

302

67

97

3

White ‐ 70%

Mean (SD) number of comorbidities

IG: 4.2 (2.4)

CG: 3.9 (2.4)

Pinto 2002

P

Physical activity

USA

298

46

28

72

White ‐ 45%

Black ‐ 45%

Other ‐ 10%

Sparrow 2011

P

Physical activity

USA

103

71

69

31

Depression (unclear %)

Baker 2014

P

Screening

USA

450

60

28

72

Hispanic 87%

Other‐ 13%

≥ 1 long‐term conditions ‐ 68%

No

Cohen‐Cline 2014

P

Screening

USA

11,010

61

54

46

White ‐ 86%

Other ‐ 14%

Corkrey 2005

P

Screening

Australia

75,532

0

100

DeFrank 2009

P

Screening

USA

3547

0

100

White ‐ 88%

Black ‐ 11%

Asian or Other ‐ 1%

Durant 2014

P

Screening

USA

47,097

58

47

53

Fiscella 2011

P

Screening

USA

469

56

(for colorectal cancer)

44

(for colorectal cancer)

White ‐ 61%

Black ‐ 28%

Latinos ‐ 5%

Asian ‐ 5%

Fortuna 2014

P

Screening

USA

1008

45

55

White ‐ 48%

Black ‐ 37%

Other ‐ 15%

No

Hendren 2014

P

Screening

USA

366

White ‐ 50%

Black ‐ 41%

Other (including Hispanic) ‐ 9%

Heyworth 2014

P

Screening

USA

4685

57

0

100

Anticonvulsants ‐ 6% Corticosteroids ‐ 4%

COPD (unclear %) Oophorectomy ‐ 3%

Mosen 2010

P

Screening

USA

6000

60

50

50

White ‐ 93%

Other ‐ 7%

 Obesity ‐ 40%

Phillips 2015

P

Screening

USA

685

58

38

62

Non‐Hispanic white ‐ 78%

Black ‐ 13%

Other ‐ 9%

Simon 2010a

P

Screening

USA

20,936

57

47

53

White ‐ 86% 

Other ‐ 9%

Black ‐ 5%

Solomon 2007

P

Screening

USA

1973

69

8

92

Use of oral glucocorticoids ‐ 22%

Fractures ‐ 12%

Mahoney 2003

P

Stress management

USA

100 (caregiver)

63 (caregiver)

22 (caregiver)

78 (caregiver)

Black ‐ 64%

Hispanic ‐ 21%

White ‐ 15%

Other ‐ 1%

Aharonovich 2012

P

Substance use

USA

33

46

76

24

White ‐ 64%

White ‐ 15%

Hispanic ‐ 21%

HIV medication ‐ 64%

Hepatitis A, B, or C ‐ 49%

Yes

USD 20 gift certificates for each assessment

Bennett 2012

P

Weight management

USA

365

55

31

69

Black ‐ 71%

Hispanic ‐ 13%

White ‐ 4%

Other ‐ 2%

Cholesterol medication ‐ 36%

Diabetes medication ‐ 30%

Mean BMI ‐ 37 kg/m2

Yes

USD 50 reimbursement at the first 3 follow‐up visits and USD 75 at 24 months

Bennett 2013

P

Weight management

USA

194

35

0

100

Black ‐ 100%

Hypertension ‐ 36%

Metabolic syndrome ‐ 31%

Depression ‐ 22%

Diabetes mellitus ‐ 7%

Yes

Reimbursements of USD 50 each at baseline and at all follow‐up study visits

Estabrooks 2008

P

Weight management

USA

77

59

29

71

White ‐ 68%

Hispanic ‐ 18%

Other ‐ 7%

Black ‐ 4%

Asian ‐ 3%

Estabrooks 2009

P

Weight management

USA

220

11

54

46

White‐ 63%

Hispanic ‐ 26%

Other ‐ 11%

Goulis 2004

P

Weight management

Greece

122

44

12

88

Hypertension ‐ 13%

Diabetes mellitus ‐ 2%

Vance 2011

P

Weight management

USA

140

Wright 2013

P

Weight management

USA

50 (child)

10 (child)

40 (parent)

58 (child) 4 (parent)

42 (child) 96 (parent)

Black ‐ 72%

Other ‐ 22%

White ‐ 6%

(parent)

BMI (child) ‐ 25.7 kg/m2

BMI (parent) ‐ 34 kg/m2

Yes

For completing assessments (USD 40 parents; USD 10 child)

Dini 1995

E

Appointment reminder

USA

517

Griffin 2011

E

Appointment reminder

USA

3610

63

95

5

White ‐ 83%

Other ‐ 16%

Hispanic ‐ 1%

Maxwell 2001

E

Appointment reminder

USA

2304

29

100

Hispanic ‐ 66%

Black ‐ 19%

White ‐ 13%

Other ‐ 2%

Parikh 2010

E

Appointment reminder

USA

12,092

56

43

57

Reekie 1998

E

Appointment reminder

UK

1000

33

67

Tanke 1994

E

Appointment reminder

USA

2008

19d

54

46

Spanish‐speaking ‐ 39%

Vietnamese‐speaking ‐ 28%

English‐speaking ‐14%

Other – 13%

Tagalog‐speaking Filipino – 6%

Tanke 1997

E

Appointment reminder

USA

701

< 12e

45

55

English‐speaking ‐ 59%

Spanish‐speaking ‐ 29%

Vietnamese‐speaking ‐ 3%

Other – 9%

Moore 2013

M

Illicit drugs addiction

USA

36

41

58

42

White ‐ 58%

Black ‐ 28%

Other – 14%

On methadone treatment mean = 21.7

Yes

USD 20 per week for completing weekly assessments and providing a urine sample

Andersson 2012

M

Alcohol consumption

Sweden

1423

Hasin 2013

M

Alcohol consumption

USA

254

46

78

22

Black ‐ 49%

Hispanic ‐ 45%

Other – 6%

12.8y

HIV/AIDS (unclear %)

Yes

USD 20; USD 40 at last 2 post‐treatment follow‐ups

Helzer 2008

M

Alcohol consumption

USA

338

46

64

36

White ‐ 97%

Currently dependent ‐ 67%

Yes

USD 30 for the
index, USD 25 for the 3‐month, and USD 60 for the 6‐month assessment

Litt 2009

M

Alcohol consumption

USA

110

49

58

42

White ‐ 86%

Black ‐9%, Hispanic‐3%

Other‐2%

Mean of 1.2 (SD 2.4)
treatments for alcohol dependence

Yes

The possible total incentive was USD 50.00 per week

Mundt 2006

M

Alcohol consumption

USA

60

42

55

45

White ‐ 95%

Black ‐5%

52.3 heavy drinking days within past 3 months

Yes

Patients were paid USD 75 for the 30‐day follow‐up, USD 125 for the 90‐day follow‐up, and USD 200 for the 180‐day follow‐up

Rose 2015

M

Alcohol consumption

USA

158

49

53

47

Regular alcohol use mean = 17.94 years

Yes

USD 25 for each interview

Rubin 2012

M

Alcohol consumption

USA

47

57

60

40

Caucasian ‐ 83% African‐American ‐ 13%

Simpson 2005

M

Alcohol consumption

USA

98

46

91

9

White ‐ 45%

Black ‐ 40%

Native American ‐ 7%

Other ‐ 6%

Hispanic ‐ 2%

Yes

USD 25.00 each for the baseline and for the follow‐up assessments

Vollmer 2006

M

Asthma

USA

6948

52

35

65

White ‐ 92%

Other ‐ 8%

Beta agonist ‐ 55%

Oral steroids ‐ 46%

COPD ‐ 33%

Xu 2010

M

Asthma

Australia

121

7

53

47

Cleeland 2011

M

Cancer

USA

79

60

53

47

White ‐ 85%

Black ‐ 15%

Kroenke 2010

M

Cancer

USA

405

59

32

68

White ‐ 80%

Black‐ 18%

Other ‐ 2%

Depression ‐ 76%

Pain ‐ 68%

Mooney 2014

M

Cancer

USA

250

55

24

76

White/Caucasian ‐ 91%

Other ‐ 9%

Siegel 1992

M

Cancer

USA

239

58

50

50

White ‐ 89%

Black‐ 6%

Hispanic ‐ 4%

Other 1%

Mean (SD) time since cancer diagnosis‐

IG: 36 months (35)

CG: 26 months (32)

Mean (SD) symptoms (out of 13)

IG: 3.4 (2.2)

CG: 4.0 (2.4)

Sikorskii 2007

M

Cancer

USA

437

57

25

75

Mean comorbidities: 2

Spoelstra 2013

M

Cancer

USA

119

60

31

69

White ‐ 76%

Asian ‐ 17 %

Black ‐ 7%

Capecitabine ‐ 35%

Erlotinib ‐ 24%

Lapatinib ‐ 9%

Imatinibf ‐ 8%

Temozolomide ‐ 6%

Sunitinib ‐ 5%
Sorafenib ‐ 2.5% Methotrexate ‐ 1.7%
Cyclophosphamide ‐ 0.8%

Yount 2014

M

Cancer

USA

253

61

49

51

White ‐ 58% Black ‐ 36% Other ‐ 6%

Planned single chemotherapy ‐ 9%

Planned combination chemotherapy ‐ 90%

Kroenke 2014

M

Chronic pain

USA

250

55

83

17

White ‐ 77 %

≤ 5 years = 29%

6‐10 years = 19%

> 10 years = 52%

Major depression‐ 24%

Post‐traumatic stress disorder‐ 17%

Naylor 2008

M

Chronic pain

USA

55

46

14

86

White ‐ 96%

Other ‐ 4%

Halpin 2009

M

COPD

UK

79

69

74

26

SABA ‐ 75%

LAMA ‐ 43%

LABA/ICS ‐ 43%

ICS ‐ 33%

SAMA ‐ 32%

Oral steroids ‐ 25%

LABA ‐ 18%

Adams 2014

M

Adherence

USA

475

5 (child) 35 (parent)

52 (child) 7 (parent)

48 (child) 93 (parent)

Black ‐ 67% (child)

47% (parent);

Other – 33% (child)

53% (parent)

Yes

Gift cards

Bender 2010

M

Adherence

USA

50

42

36

64

White ‐ 58%

Black ‐ 20%

Hispanic ‐ 18%

Asian ‐ 4%

Yes

USD 25 for each completed visit

Bender 2014

M

Adherence

USA

1187

Boland 2014

M

Adherence

USA

70

66

49

51

African American ‐ 58%

European ‐ 32%

Asian ‐ 6%

Hispanic ‐ 3%

Middle Eastern ‐ 1%

Median 5 years in IG; 4.5 years in CG

Bimatoprost ‐ 11.5%

Travoprost ‐ 17.5%

Latanoprost ‐ 71.5%

Bilateral medication ‐ 70%

Cvietusa 2012

M

Adherence

USA

1393

Derose 2009

M

Adherence

USA

13,057

51

54

46

Other ‐ 48 %

White ‐ 23%

Hispanic ‐ 14%

Black ‐ 10%

Asian ‐ 5%

Derose 2013

M

Adherence

USA

5216

56

49

51

Hispanic ‐ 30%

White ‐ 28%

Unknown ‐ 23%

Black ‐ 10%

Asian and Pacific Islander ‐ 7.1%

Other ‐ 1.7%

Native American‐ 0.2%

Mean low‐density lipoproteins = 146 mg/dL

Feldstein 2006

M

Adherence

USA

961

59

47

53

Statins ‐ 32%

Depression ‐ 11%

Friedman 1996

M

Adherence

USA

267

77

23

77

Other ‐ 89 %

Black: 11%

Other – 81%

Heart disease ‐ 32% Diabetes mellitus ‐ 18%

Stroke ‐ 7%

Glanz 2012

M

Adherence

USA

312

63

62

38

Black ‐ 91%

White ‐ 9%

Yes

USD 25 gift card

Green 2011

M

Adherence

USA

8306

Ho 2014

M

Adherence

USA

241

64

98

2

White ‐ 78%

Hypertension ‐ 91%

Hyperlipidaemia ‐ 85%

Diabetes mellitus ‐ 45%

Chronic kidney disease ‐ 23%

Chronic lung disease ‐ 20%

Prior heart failure ‐ 12%

Peripheral arterial disease ‐ 10%

Cerebrovascular disease ‐ 7%

Leirer 1991

M

Adherence

USA

16

71

31

69

Yes

USD 25 for participating

Lim 2013

M

Adherence

USA

80

66

51

49

White ‐ 62% African‐American ‐ 10%

Hispanic/Latino ‐ 9%

Asian ‐ 9%

East Indian ‐ 6%

Mean IG: 25.79 months;

CG: 22.1 months

Number of medical problems:

IG: 3.43

CG: 3.32

Migneault 2012

M

Adherence

USA

337

57

30

70

Black ‐ 100%

BMI ‐ 34.4 kg/m2

Diabetes ‐ 38%

Stroke ‐ 7.5%

Mu 2013

M

Adherence

USA

4,237,821

56

38.5

61.5

Correspondence with the author: "All participants were on maintenance medications"

Ownby 2012

M

Adherence

USA

27

80

Participants had cognitive (memory) impairment and were on donepezil, rivastigmine, or galantamine

Patel 2007

M

Adherence

USA

15,051

57

53

47

 —

Reynolds 2011

M

Adherence

USA

30,610

Sherrard 2009

M

Adherence

Canada

331

63

Simon 2010b

M

Adherence

USA

1200

51

62

38

Other ‐ 95%

Black ‐ 5%

 Insulin ‐ 19.4% (participants)

Stacy 2009

M

Adherence

USA

497

54

38

62

Lipitor – 54%

Zocor – 16%

Other statin – 16%

Stuart 2003

M

Adherence

USA

647

Vollmer 2011

M

Adherence

USA

8517

54

34

66

White ‐ 50%

Other – 26% Asian ‐ 11%

Mixed – 7%

Native Hawaiian/Pacific Islander ‐ 4%

Black ‐ 2%

American Indian/Alaskan Native – 1%

COPD ‐ 33%

Vollmer 2014

M

Adherence

USA

21,752

64

53

47

White ‐ 47%

Asian ‐ 17%

Black ‐15%

Native Hawaiian/Pacific Islander ‐ 11% Black ‐ 2%

American Indian/Alaskan Native – 1%

Diabetes mellitus ‐ 78%

CVD ‐ 36%

Statin only ‐ 40%

ACEI/ARB only ‐ 25%

Statin and ACEI/ARB ‐ 35%

low‐density lipoproteins among statin users (mean) = 93.4 mg/dL

Graziano 2009

M

Diabetes mellitus

USA

119

62

55

45

White ‐ 77% 

Other – 23%

Yes

USD 25

Homko 2012

M

Diabetes mellitus

USA

80

30

0

100

White ‐ 41%

Black ‐ 34%

Hispanic ‐ 18%

Asians or others ‐ 7%

BMI ‐ 34.1 kg/m2

Katalenich 2015

M

Diabetes mellitus

USA

98

59

40

60

Black ‐ 65%

White ‐ 30%

Other ‐ 3%

Hispanic ‐ 1% Asian ‐ 1%

Other antidiabetic medications + insulin ‐ 80%

Basal‐bolus regimen ‐ 40%

Long‐acting insulin only ‐ 33%

Mixed insulin only ‐ 17%

Short‐acting insulin only ‐ 10%

Khanna 2014

M

Diabetes mellitus

USA

75

52

59

41

Hispanic ‐ 100%

Yes

USD 10 for initial visit and USD 20 incentive card at the follow‐up

Kim 2014

M

Diabetes mellitus

USA

100

Psychiatric illness ‐ 46%

Had been hospitalised over the past year ‐ 28%

Lorig 2008

M

Diabetes mellitus

USA

417

53

38

62

Hispanic ‐ 100%

Piette 2000

M

Diabetes mellitus

USA

248

55

41

59

Hispanic ‐ 50%

White ‐ 29%

Other – 21%

BMI ‐ 33.7 kg/m2

Mean comorbidities: 1

Piette 2001

M

Diabetes mellitus

USA

272

61

97

3

White ‐ 60%

Black ‐ 18%

Hispanic ‐ 12%

Other ‐ 10% 

BMI ‐ 31 kg/m2

Mean comorbidities: 2

Schillinger 2009

M

Diabetes mellitus

USA

339

56

43

57

Hispanic ‐ 47%

Asian ‐ 22%

Black ‐ 20%

White ‐ 8%

Other ‐ 2%

BMI: 31 kg/m2

 Yes

USD 15 and USD 25 for the baseline and 1‐year follow‐up visits, respectively

Williams 2012

M

Diabetes mellitus

Australia

120

57

63

37

Low depression – 73%

Intermediate depression – 23%

High depression – 4%

Low anxiety – 89%

Intermediate anxiety – 8%

High anxiety – 3%

BMI ‐ 33 kg/m2

Insulin – 43%

Capomolla 2004

M

Heart failure

Italy

133

57

88

12

Diuretics ‐ 89%

ACE inhibitors ‐ 84%

Carvedilol ‐ 50%

Nitrates ‐ 40%

Digitalis ‐ 33%

K + saver ‐ 21%

Chaudhry 2010

M

Heart failure

USA

1653

61d

58

42

White ‐ 49%

Black ‐ 39%

Other – 12% (inclusive of Hispanic or Latino – 3%)

Beta‐blocker – 79%

Loop diuretic – 78%

Hypertension ‐ 77%

ACE inhibitor or ARB – 70%

Coronary artery disease ‐ 50%

Diabetes mellitus ‐ 47%

Chronic kidney disease ‐ 46%

Aldosterone‐receptor antagonist – 33%

Digoxin – 25%

COPD ‐ 21%

No

Krum 2013

M

Heart failure

Australia

405

73

63

37

Diuretics ‐ 80%

Heart failure specific beta‐blockers ‐ 61%

Systolic heart failure ‐ 60%
Hypertension ‐ 60%

ACE inhibitors ‐ 57.5%
Atrial fibrillation ‐ 37.5%

Diabetes mellitus ‐ 30.5%

Aldosterone antagonist ‐ 26%

ARB ‐ 25%

Diastolic heart
failure ‐ 18.5%
Pacemaker ‐ 12%

Internal cardio defibrillator ‐ 4.5%

Kurtz 2011

M

Heart failure

France

138

68

79

21

Loop diuretic – 92%

ACE/AT2– 79%

Beta‐blocker – 79%

Spironolactone – 29%

Digoxin – 9% (mean values)

Shet 2014

M

HIV

India

631

57

43

Asian ‐100%

Zidovudine‐based antiretroviral treatment – 44%

Tenofovir‐based antiretroviral treatment – 44%

Stavudine‐based antiretroviral treatment – 12%

Yes

Mobile phone plus wage compensation

Hyman 1996

M

Hypercholestorolaemia

USA

115

48

25

75

White ‐ 87%

Other – 13%

Hyman 1998

M

Hypercholesterolaemia

USA

123

57

25

75

Black ‐ 77%

Other – 23%

Mean BMI ‐ 31 kg/m2

Bove 2013

M

Hypertension

USA

241

60

21

79

Black ‐ 81%

White‐ 15%

Hispanic ‐ 3%

Other ‐ 1%

Hyperlipidaemia ‐ 46%

Diabetes ‐ 32%

Dedier 2014

M

Hypertension

USA

253

58

27

73

Black ‐ 100%

Harrison 2013

M

Hypertension

USA

64,773

61

46

54

White ‐ 41%, Hispanic ‐ 25%

Black ‐ 17%

Other – 9%

Asian ‐ 8%

Cardiovascular disease ‐ 38%

Diabetes mellitus ‐ 27%

Chronic kidney disease ‐ 10%

Magid 2011

M

Hypertension

USA

283

66

65

35

White ‐ 65%

Other – 18%

Hispanic ‐ 17%

Diabetes mellitus or chronic kidney disease – 55%

Yes

Clinically validated electronic blood pressure cuffs were provided at no cost to those who did not own one

Piette 2012

M

Hypertension

Honduras; Mexico

200

58

33

67

Blood pressure medication – 83%

Diabetes mellitus ‐ 23%

BMI ‐ 30.7 kg/m2

Farzanfar 2011

M

Mental health

USA

164

39

24

76

White ‐ 56%

Black ‐ 32%

Other – 12%

Greist 2002

M

Mental health

USA

218

39

58

42

White ‐ 93%

Other – 7%

Social phobia ‐ 9%, Generalised anxiety disorder ‐8%

Simple phobia – 6% Major depression – 2%

Dysthymia – 2%

Zautra 2012

M

Mental health

USA

73

54

18

82

Other – 74%

Hispanic – 26%

DeMolles 2004

M

OSAS

USA

30

46

BMI ‐ 38 kg/m2

Sparrow 2010

M

OSAS

USA

250

55d

82

18

BMI ‐ 35.1 kg/m2

Brendryen 2008

M

Smoking

Norway

396

36

47

53

Yes

All participants in both groups received a sample packet of nicotine replacement therapy products.

Carlini 2012

M

Smoking

USA

521

36

36

64

White ‐ 81%

Black ‐ 6%

Other – 5%

Hispanic/Latino ‐ 4%

Native American – 3%

Asian ‐ 1%

≥ 1 long‐term conditions ‐ 47%

No

Ershoff 1999

M

Smoking

USA

332

30

0

100

White ‐ 61%

Black ‐ 16%

Hispanic ‐ 15%

Other – 8%

McNaughton 2013

M

Smoking

Canada

44

53

67

33

Mean cigarettes/d:

intervention ‐ 18.5

control ‐ 17.3

Peng 2013

M

Smoking

Taiwan

116

20

92

8

Asian ‐ 100%

Yes

Equivalent of USD 6

Regan 2011

M

Smoking

USA

731

52

56

44

Reid 2007

M

Smoking

Canada

100

54

68

32

Acute coronary syndrome ‐ 83%

Reid 2011

M

Smoking

Canada

440

Rigotti 2014

M

Smoking

USA

397

53

48

52

White ‐ 81%

Hispanic ‐ 6%

Black ‐ 4%

Other/unknown ‐ 4%

Native American ‐ 3%

Asian/Pacific Islander ‐2.5%

Mean cigarettes/d:

IG = 17.1

CG = 16.3

Depressive symptoms (mean)

IG = 9.3

CG = 10.3

Yes

USD 50 for a saliva sample

Velicer 2006

M

Smoking

USA

2054

51

77

23

White ‐ 89%,

Black ‐ 5%,

Other ‐ 4%

Native American ‐ 2%

Mean cigarettes/d IG = 23.85

CG = 25.18

Houlihan 2013

M

Spinal cord dysfunction

USA

142

48

61

39

White ‐ 80% (inclusive of Hispanic or Latino – 7%)

Black ‐ 11%

Other ‐ 9%

11.7 y

Depression – 39%

Pressure ulcers ‐ 7%

aStudy type: P: prevention; M: management; E: either.
bStudy subtype: COPD: chronic obstructive pulmonary disease; HIV: human immunodeficiency virus; I: immunisation; LAMA: long‐acting muscarinic antagonist; OSAS: obstructive sleep apnoea syndrome; SABA: short‐acting β 2‐agonist; SAMA: short‐acting muscarinic antagonist

cPlease note that for reporting of participants' ethnicity, the terms used by authors of the included studies have been used in each case and are cited directly from each of the included studies.
dMedian.
eMajority of the participants.
Other abbreviations: CG: control group; IG: intervention group.

Figuras y tablas -
Table 2. Participants
Table 3. Intervention

Study ID

ATCSa

Contentb

Theoryc

BCTsd

Received instructions?

Callere

Telephone keypadf

Toll free

Study duration

Call durationg

Frequencyh

Intensity i

Speaker
features

Security arrangementj

Adams 2014

IVR

AF

1

P

Other

25 months

29.3 min

Synthetic speech

Aharonovich 2012

ATCS Plus

AF,SF

MI

9, 25, 40

Yes

E

Yes

Yes

2 months

1‐3 min

Daily

Andersson 2012

IVR

AF

25

1.5 months

< 500 words

Baker 2014

Unidirectional¹

AF

TCD

1, 42

No

H

6 months

2

92 words

Bender 2010

IVR

AF

HBM

20, 21, 42

H

Yes

Yes

2.5 months

< 5 min

2

Bender 2014

IVR

AF

20,21

24 months

Bennett 2012

ATCS Plus

AF, CF

SCT, TRA, TTM

3, 9, 12, 13, 17, 20, 21, 25, 33, 39, 40, 42

24 months

Bennett 2013

ATCS Plus¹

AF, CF

SCT, TRA, TTM, MI

3, 9, 12, 13, 17, 20, 21, 25, 33, 39, 40, 42

H

12 months

2–4 min

Weekly

Boland 2014

IVR

AF

29,42

H

Yes

3 months

Daily

51 words

Reminder information was sent securely to Memotext¹

Bove 2013

ATCS Plus¹

AF, CF, SF

9,10,42

Yes

P

Yes¹

Yes

6 months

Biweekly

Password and log‐in

Brendryen 2008

ATCS Plus¹

AF, SF

CBT, SCT, MI, SRT, SCL, RP

3,12, 20,27, 34, 39

Yes

P

Yes

24 months

Twice daily then biweekly¹ for 6 weeks

Personal pronouns and active voice

Capomolla 2004

ATCS Plus

AF, CF

20, 42

Yes

P

Yes

Yes

12 months

Daily

PIN²

Carlini 2012

ATCS Plus

AF, CF

3

H

Yes

Yes

4 months

Chaudhry 2010

ATCS Plus

AF, CF

20, 42

Yes

P

Yes

Yes

6 months

Daily

Cleeland 2011

ATCS Plus

AF, SF

21

Yes

H

Yes

1 month

4 weeks

Biweekly

Cohen‐Cline 2014

IVR

AF

1,42

H

12 months

5 min¹

1

Corkrey 2005

ATCS Plus

AF, CF

3, 27, 39

Yes

H

Yes

6 months

Cvietusa 2012

ATCS Plus

AF, CF

29,42

H

Other

12 months

≤ 3

David 2012

ATCS Plus

AF, CF

TTM, SCT, PST

3,10

Yes

E

3 months

15‐30 s²

Twice daily

Dedier 2014

IVR

AF

TTM, SCT

1,9

H

3 months

10 min

Weekly

Pre‐recorded human speech

DeFrank 2009

IVR

AF

HBM¹

27, 42

H

Yes

24 months

69 s

Average ‐ 3

224 words

Female voice

Verification³

DeMolles 2004

IVR

AF

3, 18, 20, 40, 42

Yes

P

Yes

2 months

3‐day call², weekly

Password protected⁴

Derose 2009

ATCS Plus

AF, SF

40, 42

H

Yes

Yes

6 months

40 s

1

100 words

PIN⁵

Derose 2013

ATCS Plus

AF, SF

40, 42

H

Yes

3 months

40 s

1

Dini 1995

Unidirectional

AF

40

No

H

1 months

1

Dini 2000

Unidirectional

AF

42

No

H

36 months

Dubbert 2002

Unidirectional¹

AF

TTM

9,10,40

H

10 months

Approx 30 words

Nurse

Durant 2014

IVR

AF

42

H

2 weeks

1‐2 attempts

Ershoff 1999

IVR

AF

TTM

20, 39

Yes

P

Yes

Yes

34 weeks

5 min

Professional

Password protected⁴, PIN²

Estabrooks 2008

IVR

AF

3, 9

Yes

3 months

1‐10 min³

Weekly

Estabrooks 2009

ATCS Plus

AF, CF

GM

2, 3, 9, 15, 20

E

12 months

10

Farzanfar 2011

IVR

AF

3, 6, 20, 30, 39, 42

Yes

E

Yes

Yes

6 months

30‐90 min²

Monthly

Female voice actor

Password protected⁴

Feldstein 2006

IVR

AF

39, 42

25 days

PIN⁶

Fiscella 2011

ATCS Plus¹

AF, CF

20,42

H

26 weeks

Up to 4

Fortuna 2014

Unidirectional

AF

29,30

H

12 months

2

Franzini 2000

Unidirectional

AF

40,42

No

H

Friedman 1996

IVR

AF

SCT

21, 32, 35, 39

E

Yes

Yes

6 months

4 min

Weekly

Password protected⁴

Glanz 2012

IVR

AF

3,16

E

Other

9 months

12

Goulis 2004

IVR

AF

1, 10, 20, 21,

Yes

6 months

15 min

Weekly

Graziano 2009

IVR

AF

HBM

3, 7, 20, 21, 42

H

12 months

> 1 min

Daily

Trained actor

PIN⁷

Green 2011

IVR

AF

16

H

Yes

Greist 2002

ATCS Plus

AF, SF

BT

34

E

Yes

3 months

8.6 min¹

12

Griffin 2011

ATCS Plus

AF, CF

HBM, SMP

3, 7, 27, 30, 40

H

6W

1

Halpin 2009

ATCS Plus

AF, CF, SF

21, 40, 42

Yes

H

4 months

Daily, 4⁴

Harrison 2013

Unidirectional

AF

20,42

H

1 month

80 words

Hasin 2013

ATCS Plus

AF, CF, SF

MI

9,12

Yes

P

Yes

12 months

60 days

Daily

1‐3 min

Helzer 2008

ATCS Plus

AF,CF

20,34

Yes

P

Yes

Yes

6 months

2 min

Daily

Hendren 2014

ATCS Plus¹

AF, CF

20,42

H

25 weeks

25 s

Up to 4

Hess 2013

Unidirectional

AF

16

H

3 months

1 min

Monthly

2 30‐s scripts

Heyworth 2014

ATCS Plus

AF, CF

16

H

3 months

4‐5 min

1

Ho 2014

ATCS Plus¹

AF, CF

20,42

H

12 months

Monthly⁵

Homko 2012

IVR

AF

21

Yes

P

Yes

Yes

26 months

Weekly

45 s of speaking

PIN²

Houlihan 2013

IVR

AF

TTM, SCT

4,20,21

Yes

H

6 months

4.12 min

Weekly

12.4 calls¹

Digitised
speech

Hyman 1996

IVR

AF

20, 39, 42

E

Yes

6 months

Daily

Hyman 1998

ATCS Plus

AF, CF

SCT

20, 39, 42

E

Yes

6 months

2‐3 min

Biweekly

Jarvis 1997

IVR

AF

TTM

7, 9, 20, 39

Yes

P

Yes

3 months

Weekly

Password protected⁴

Katalenich 2015

ATCS Plus

AF,CF, SF

16,21,30

E

6 months

Daily

Khanna 2014

ATCS Plus

AF, SF

20

Yes

H

Yes

3 months

2.2/week

26 calls¹

Female voice

Kim 2014

ATCS Plus

AF, CF

20,29,30

H

12 months

≤ 10 min

Weekly

King 2007

IVR

AF

SCT, TTM

3, 9, 20, 39

Yes

H

Yes

12 months

10‐15 min

Weekly⁶

Kroenke 2010

ATCS Plus¹

AF, CF

TCM

39

E

12 months

Biweekly, weekly, bimonthly, monthly⁷

Kroenke 2014

ATCS Plus¹

AF, CF

21,39

H

12 months

Weekly⁸

Krum 2013

ATCS Plus

AF, CF, SF

20,21,42

E

Yes

12 months

Monthly

18 questions

Kurtz 2011

IVR

AF

39

No

P

Yes

24 months

48 s¹

Weekly

LeBaron 2004

ATCS Plus

AF, SF

40, 42

H

24 months

Leirer 1991

IVR

AF

20,42

Yes

H

Yes

2 weeks

3 segments

Personalised voice messages

Lieu 1998

IVR

AF

42

H

4 months

96.8 s

Lim 2013

Unidirectional

AF

42

H

5 months

Monthly

Linkins 1994

Unidirectional

AF

42

H

5 months

2/d⁹

Litt 2009

ATCS Plus

AF,SF

CBT

3,20,34,38

H

Yes

12 weeks

2.5 min

8/d¹⁰

Lorig 2008

ATCS Plus

AF, CF

21

15 months

90 s

Monthly

Magid 2011

ATCS Plus¹

AF, CF

20, 21, 25, 42

Yes

P

Yes

6 months

5‐10 min

Weekly

Mahoney 2003

ATCS Plus

AF, SF

PT, PM

3, 13, 25, 39, 42

Yes

P

Yes

Yes

18 months

18 min

22 h/d²

Professional radio announcer

Password protected⁴

Maxwell 2001

Unidirectional

AF

40

No

H

2 months

McNaughton 2013

IVR

AF

20, 21, 25, 34, 42

H

Other

24 months

3‐5 min

Biweekly

Migneault 2012

IVR

AF

SCT, TTM, MI

25, 39

Yes

Yes

Yes

8 months

Weekly

African – American voice professionals

Mooney 2014

ATCS Plus

AF, SF, CF

21

P

Yes

Yes

1.5 months

5.18 min¹

Daily

Personalised password

Moore 2013

ATCS Plus

AF, SF

CBT

17,34,38

Yes

H

Yes

1 month

9.3 min¹

Daily

Morey 2009

Unidirectional¹

AF

SCT, TTM

9, 10, 20, 25, 39

H

12 months

Monthly

Approx 60 words

Primary care provider

Morey 2012

Unidirectional¹

AF

SCT, TTM

9, 10, 20, 25, 39

H

12 months

Monthly

Approx 60 words

Primary care provider

Mosen 2010

IVR

AF

27, 42

H

Yes

Yes

6 months

1 min

3

Mu 2013

IVR

AF

25, 39

H

1 month

Correspondence with the author: "Upon answering a call, patients are required to authenticate with their date of birth."

Mundt 2006

ATCS Plus

AF, CF, SF

CBT

4,20,34,38

Yes

E

Yes

6 months

9.2 min

Daily

Valid ID number and a personally
selected 4‐digit pass code

Nassar 2014

Unidirectional

AF

29

Yes

H

2 months

At least every 3 days

Every hour for 2 consecutive hours

Community health worker

Naylor 2008

IVR

AF

CBT

3, 16, 20, 22, 25, 39, 42

Yes

P

Yes

4 months

3‐16 min

Daily

Experienced therapist

Ownby 2012

Unidirectional

AF

42

H

24 months

Daily

First author

Parikh 2010

IVR

AF

40

H

4 months

Patel 2007

IVR

AF

39, 42

6 months

3

Peng 2013

ATCS Plus

AF, SF

CBT, TTM,

MI

9, 0, 12, 20, 21

H

Yes

2 months

18.9 min^^

Biweekly weeks 1‐3, weekly weeks 4‐6, no call week 7, weekly week 8‐9

8.61²,³

Phillips 2015

IVR

AF

29, 30

H

3.5 months

up to 5 times

Piette 2000

ATCS Plus

AF, CF

SCT

3, 18, 21, 25, 39

No

E

Yes

Yes

24 months

1‐8 min²

Biweekly¹¹

Human voice

PIN²

Piette 2001

ATCS Plus

AF, CF

SCT

3, 18, 21, 25, 39

H

Yes

12 months

1‐8 min²

Biweekly¹¹

Piette 2012

ATCS Plus

AF, CF

13, 20, 21, 39

Yes

Yes

Yes

1.5 months

≤ 9 min

Weekly

Native speaker

Pinto 2002

ATCS Plus

AF, SF

DMT, SCT, TTM

3, 19, 20, 32

Yes

P

Yes

6 months

10 min

Weekly (first 3 months), and at least biweekly thereafter

Digitised
human speech

Reekie 1998

Unidirectional

AF

39, 40

No

H

Receptionist

Regan 2011

ATCS Plus

AF, CF

20, 42

H

3 months

Reid 2007

ATCS Plus

AF, CF

3, 9, 13, 39, 40, 42

H

12 months

1‐20 min⁵

3

Reid 2011

ATCS Plus

AF, CF

20, 42

12 months

8

Reynolds 2011

IVR

AF

42

P

Rigotti 2014

ATCS Plus

AF, CF, SF

13, 34

H

Yes

6 months

5 times¹²

Rose 2015

ATCS Plus

AF, CF, SF

CBT

4, 20, 34, 38

Yes

P

4 months

Daily

Rubin 2012

IVR

AF

MI

9, 12

H

Other

6 months

≤ 26 calls over 13 weeks

Schillinger 2009

ATCS Plus

AF, CF

CCM, SCT

1, 3, 9, 10, 13, 20, 21, 35, 39

E

Yes

Yes

12 months

6‐12 min

Weekly

Sherrard 2009

ATCS Plus

AF, CF

27, 39, 42

H

6 months

11

Password protected⁴

Shet 2014

IVR¹

AF

TPB

16,20

H

24 months

Weekly

Siegel 1992

IVR

AF

17, 20, 42

H

Other

6 weeks

3 calls 6 weeks apart

12 questions; 397 words

Digitally
stored voice

Sikorskii 2007

IVR

AF

17, 20, 30, 39, 40

H

Yes

2 months

Weekly¹³

Female voice

Simon 2010a

IVR

AF

GMDBC, Others²

3, 27, 39

Yes

E

3 months

2‐6 min

Verification

Simon 2010b

ATCS Plus

AF, CF

30, 42

No

H

No

12 months

3¹⁴

Human voice

Simpson 2005

IVR

AF

20

Yes

P_H

Yes

Yes

1 months

Daily

Solomon 2007

ATCS Plus¹

AF, CF

16

H

Yes

Female voice

Sparrow 2010

IVR

AF

SCT, MI

3, 12, 17, 20, 25, 39, 40, 42

E

Yes

12 months

Weekly then monthly¹⁵

Password protected⁴

Sparrow 2011

IVR

AF

SCT

3, 12, 17, 20, 25, 39, 40, 42

Yes

E

Yes

12 months

Weekly then monthly¹⁵

Password protected⁴

Spoelstra 2013

ATCS Plus

AF, CF

CBT

2, 20

Yes

H

Yes

2 months

Weekly

Stacy 2009

ATCS Plus

AF, SF

HBM, CCM, SCT, TTM, MI, SRT, RL

2, 3, 20, 32, 39

H

Yes

6 months

3

Stehr‐Green 1993

Unidirectional

AF

42

H

1 month

Human voice

Stuart 2003

IVR¹

AF

9, 10, 42

Yes

P

Yes

3 months

Daily/2 weeks; weekly/10 weeks

25 calls

Female voice

Szilagyi 2006

Unidirectional

AF

42

H

18 months

Weekly

Szilagyi 2013

Unidirectional

AF

42

H

12 months

Tanke 1994

Unidirectional

AF

HBM

7*, 39, 40, 42

No

H

1¹⁶

Female using native languages

Tanke 1997

Unidirectional

AF

HBM

39, 40, 42

No

H

1¹⁶

Female using native languages

Tucker 2012

IVR

AF

BET

9, 20, 25, 34

Yes

6 months

≤ 5 min

Daily

PIN⁶

Vance 2011

ATCS Plus

AF,SF

10

3 months

3/week

Velicer 2006

IVR¹

AF

TTM

4, 13, 20, 34, 38

E

Yes

6 months

15‐20 min

Weekly¹⁷

Vollmer 2006

ATCS Plus

AF, CF

39

H

Other

10 months

< 10 min

3¹⁸

Vollmer 2011

ATCS Plus

AF, CF

20, 42

H

Other

Yes

18 months

2‐3 min

Vollmer 2014

ATCS Plus

AF, CF, SF

20, 42

Yes

H

Other

Yes

12 months

2‐3 min

Monthly

Williams 2012

IVR

AF

3, 21, 39

Yes

P

Yes

Yes

6 months

5‐20 min

Weekly

PIN⁶

Wright 2013

IVR

AF

SCT

2, 9, 10

No

P

Other

3 months

Biweekly

Synthetic speech

Xu 2010

IVR

AF

21, 40

H

Yes

6 months

Biweekly

Yount 2014

ATCS Plus

AF, SF

21, 40

P

Yes

3 months

Weekly

PIN

Zautra 2012

Unidirectional

AF

SCT

4,13

a ATCS ¹For more detailed evaluation of multimodal/complex interventions, please refer to Table 4.

b Content delivery: AF: automated functions; CF: communicative functions; SF: supplementary functions.
c Theory: BET: behavioural economic theory; BT: behavioural therapy; CBT: cognitive behavioural therapy; CCT: self‐management support strategies using chronic care model; DMT: Golan's model based on social–ecologic theory decision making theory; GMDBC: general model of the determinants of behavioural change; HBM: health belief model process theory; MI: motivational interviewing; PM: Pearlin's model of AD caregiver's stress; RL: reflective listening; RP: relapse prevention; SCT: social cognitive theory; SMP: social marketing principles; SRT: self‐regulation theory; TCD: theory of cognitive dissonance; TCM: 3‐component model; TPB: theory of planned behaviour; TRA: theory of reasoned action; TTM: transtheoretical model.
¹For enhanced letter reminders group.
²Synthesis of behavioural theories.

d Behaviour change techniques: 1 ‐ action planning; 2 ‐ agree behavioural contract; 3 ‐ barrier identification/problem solving; 4 ‐ emotional control training; 5 ‐ environmental restructuring; 6 ‐ facilitate social comparison; 7 ‐ fear arousal; 8 ‐ general communication skills training; 9 ‐ goal setting (behaviour); 10 ‐ goal setting (outcome); 11 ‐ model/demonstrate the behaviour; 12 ‐ motivational interviewing; 13 ‐ plan social support/social change; 14 ‐ prompt anticipated regret; 15 ‐ prompt identification as a role model/position advocate; 16 ‐ prompt practice; 17 ‐ prompt review of behavioural goals; 18 ‐ prompt review of outcome goals; 19 ‐ prompt self talk; 20 ‐ prompt self‐monitoring of behaviour; 21 ‐ prompt self‐monitoring of behavioural outcome; 22 ‐ prompt use of imagery; 23 ‐ prompting focus on past success; 24 ‐ prompting generalisation of a target behaviour; 25 ‐ provide feedback on performance; 26 ‐ provide information about other's approval; 27 ‐ provide information on consequences of behaviour in general; 28 ‐ provide information on consequences of behaviour to the individual; 29 ‐ provide information on where and when to perform the behaviour; 30 ‐ provide instruction on how to the perform the behaviour; 31 ‐ provide normative information about others' behaviour; 32 ‐ provide rewards contingent on effort or progress towards behaviour; 33 ‐ provide rewards contingent on successful behaviour; 34 ‐ relapse prevention/coping planning; 35 ‐ set graded tasks; 36 ‐ shaping; 37 ‐ stimulate anticipation of future rewards; 38 ‐ stress management; 39 ‐ tailoring; 40 ‐ teach to use prompts/cues; 41 ‐ time management; 42 ‐ use of follow up prompts.
¹Only those in the IG received importance statement.

e Caller: E ‐ either participant or healthcare provider/researcher; H ‐ healthcare provider/researcher; P ‐ participant; P_H ‐ If P fails to call then H calls.

f Telephone keypad for response: the calls were made using speech recognition (or speech‐enabled) technology; ¹‐ both data entry via Web screen or voice or telephone keypad.

g Duration of calls
¹Mean value.
²Assessments: 5‐8 min, health tips: 30‐60 s, healthcare education module: 3‐5 min.
³7 calls provided about 5–10 min of counselling, while the remaining 5 calls provided a tip of the week that lasted < 1 min.
⁴Screening session.
⁵20 min ‐ telecounselling, 30‐60 s ‐ health tips, 3‐5 min (optional) ‐ interactive self‐care education module.

h Frequency
¹Twice daily, follow‐up phase ‐ daily for another 4 weeks, twice a week for another 2 weeks, and then once a week.
²1st call 3 days after starting CPAP.
³Up to 9 attempts.
⁴Alert calls.
⁵The medication reminder calls occurred monthly; the medication refill calls were synchronised to when a medication refill was due. During months 2‐6 of the intervention, participants received both medication reminder (monthly) and medication refill calls (timed to refill due dates) for the 4 medications of interest. During months 7‐12 of the intervention, participants only received medication refill calls;
⁶2 weekly calls, 3 biweekly, and 10 monthly calls.
⁷Weeks 1‐3, biweekly; weeks 4‐11, weekly; months 3‐6, bimonthly; months 7‐12, monthly.
⁸For the first month, every other week for months 2 and 3, and monthly for months 4 through 12.
⁹Twice daily for 7 days until successful telephone contact was established.
¹⁰For assessment only (a total of 12 sessions were administered).
¹¹Up to 6 call attempts.
¹²At 2, 14, 30, 60, and 90 days postdischarge.
¹³ Except week 5.
¹⁴Up to six attempts, leaving up to two messages requesting a call back.
¹⁵1st month ‐ weekly followed by monthly calls.
¹⁶Up to 5 follow‐up calls at half hour intervals if busy phone lines or non‐response.
¹⁷Weekly for the first month, biweekly the second month, and monthly for months 3–6 and applied to smokers who received nicotine replacement therapy.
¹⁸5 months apart.

i Intensity
¹Mean value.
²Except for 2 h during the night for network file backup.
³Estimate for IG only.

j Security arrangement
¹Memotext ‐ the place where the reminders were actually generated.
²Personal identification number.
³Automated messages instructed the listener to 'press 1' if the call had reached the intended recipient, and they were not left on answering machines.
⁴Confidential password was used to access the system.
⁵Personal identification number (PIN) ‐ medical record number.
⁶PIN ‐ health record number and year of birth;
⁷PIN ‐ study number and telephone number.

Figuras y tablas -
Table 3. Intervention
Table 4. Intervention Complexity Assessment Tool for Systematic Reviews

Assessment levels and criteria for each dimension

Study

Assessment of the intervention (a‐d)/description of the intervention/justification

Control (or usual care)

Core dimension 1: active components included in the intervention compared with the control

a. More than 1 component and delivered as a bundle

b. More than 1 component

c. 1 component

Baker 2014

(a.) A mailed reminder letter, a free faecal immunochemical test, an automated telephone and text message reminding them that they were due for screening and that a faecal immunochemical test was being mailed to them, an automated telephone and text reminder 2 weeks later for those who did not return the faecal immunochemical test, and personal telephone outreach by a colorectal cancer screening navigator after 3 months

(b.) Usual care included computerised reminders,
standing orders for medical assistants to give patients home faecal immunochemical test, and clinician feedback on colorectal cancer screening rates

Bennett 2013

(a.) Behaviour change goals, self‐monitoring via IVR phone calls, tailored skills training materials, monthly interpersonal counselling calls, and a 12‐month gym membership.

(b.) Control group received + newsletters that covered general wellness topics but did not discuss weight, nutrition, or physical activity

Bove 2013

(a.) Internet‐ and telephone‐based telemedicine system + automatically generated emails or telephone calls as reminders + sphygmomanometer, a weighting scale (if needed), a pedometer and instructions on their use

(c.) Control group received usual care

Brendryen 2008

(a.) Email, webpages, IVR and short message service (SMS) + craving helpline

(c.) Control group received self‐help (booklet)

Dubbert 2002

(a.) 10 personal phone calls from the nurse interspersed randomly with 10 automated phone calls + clinic‐based activity counselling

(b.) Clinic‐based activity counselling + no calls

Fiscella 2011

(b.) Clinician prompt, patient prompts, patient outreach consisting of 2 personalised letters which also include testing kits for colorectal cancer and up to 4 ATCS calls over 26 weeks

(c.) The clinician was responsible for discussing cancer screening with the patients and for initiating any referral or for handing out faecal occult blood testing cards over 12 months

Hendren 2014

(b.) Letters, ATCS calls, a point‐of‐care prompt and mailing of a home colorectal cancer testing kit; and medical record reviews at week 12

(c.) Usual care received blinded chart review

Ho 2014

(b.) Medication reconciliation and tailoring, patient education (provided through automated voice messages and pharmacist telephone calls when requested by the patient), collaborative care between pharmacists and providers (primary care providers or cardiologists), and voice messaging reminders (educational and medication refill reminder calls).

(c.) Usual care received standard hospital discharge instructions e.g., numbers to call, follow‐up appointments, diet and exercise advice, a discharge medication list, and educational information about cardiac medications

Kroenke 2010

(a.) Symptom monitoring by a nurse + automated monitoring either via IVR or by Internet + medications (analgesics, antidepressants)

(c.) Usual care from oncologist

Kroenke 2014

(a.) Symptom monitoring, either via IVR or by Internet + nurse care + stepped care with analgesics

(c.) Usual care from primary care physician

Magid 2011

(b.) Patient education, home blood pressure monitoring, home blood pressure measurement reporting to an ATCS, and clinical pharmacist management of hypertension with physician oversight + usual care

(c.) The control group received usual care

Morey 2009

(b.) Baseline in‐person and biweekly then monthly telephone counselling by a lifestyle counsellor, one‐time clinical endorsement of physical activity and monthly automated telephone messaging by primary care provider, and quarterly tailored mailings of progress in physical activity.

(c.) Patients in the control group received usual care

Morey 2012

(b.) 1 in‐person baseline counselling session, regular telephone counselling, physician endorsement in clinic with monthly ATCS calls encouragement, and tailored mailed materials, plus a consult to a Veterans Affairs (VA) weight management program.

(b.) Patients in the control group received usual care + MOVE

Shet 2014

(b.) An IVR call once a week + a weekly non‐interactive neutral pictorial message sent out as a reminder 4 days after the IVR call + usual care

(b.) Usual care included up to 3 counselling sessions + antiretroviral treatment

Solomon 2007

(b.) Education and reminders delivered to primary care physicians + mailings and ATCS

(c.) The control group received no education

Stuart 2003

(b.) Treatment team education and patient self‐care education, nurse telephone call and IVR program

(c.) Treatment team education and patient self‐care education

Velicer 2006

(a.) Automated counselling plus nicotine replacement therapy, manuals, and expert system (TEL + EXP + NRT + MAN)

(c.) The control group received stage (of change) matched manuals

Core dimension 2: behaviours or actions of intervention recipients or participants to which the intervention is directed

a. Single target

b. Dual target

c. Multitarget

d. Variesa

Baker 2014

(a.) Single target: colorectal cancer screening

(a.) Single target: colorectal cancer screening

Bennett 2013

(a.) Single target: weight management

(a.) Single target: weight management

Bove 2013

(c.) Single target: diet, exercise, smoking and blood pressure control

(a.) Single target: blood pressure control

Brendryen 2008

(a.) Single target: smoking abstinence

(a.) Single target: smoking abstinence

Dubbert 2002

(c.) Multiple target: physical activity; BMI; mobility; quality of life

(c.) Multiple target: physical activity; BMI; mobility; quality of life

Fiscella 2011

(b.) Dual target: breast cancer and colorectal cancer screening

(b.) Dual target: breast cancer and colorectal cancer screening

Hendren 2014

(b.) Dual target: breast cancer and colorectal cancer screening

(b.) Dual target: breast cancer and colorectal cancer screening

Ho 2014

(c.) Medication adherence, blood pressure, blood lipid levels

(c.) Medication adherence, blood pressure, blood lipid levels

Kroenke 2010

(b.) Dual target: pain and depression management

(b.) Dual target: pain and depression management

Kroenke 2014

(a.) Single target: musculoskeletal pain management

(a.) Single target: musculoskeletal pain management

Magid 2011

(b.) Dual target: blood pressure monitoring and blood pressure measuring

(b.) Dual target: blood pressure monitoring and blood pressure measuring

Morey 2009

(c.) Multitarget: improving gait speed, self‐reported physical activity, function and disability

(c.) Multitarget: improving gait speed, self‐reported physical activity, function and disability

Morey 2012

(c.) Multitarget: improving blood sugar indices, anthropometric measures, and self‐reported physical activity, health‐related quality of life, and physical function

(c.) Multitarget: improving blood sugar indices, anthropometric measures, and self‐reported physical activity, health‐related quality of life, and physical function

Shet 2014

(a.) Single target: antiretroviral treatment medication adherence

(a.) Single target: antiretroviral treatment medication adherence

Solomon 2007

(a.) Single target: osteoporosis screening

(d.) Varies

Stuart 2003

(a.) Single target: antidepressant medication adherence

(a.) Single target: antidepressant medication adherence

Velicer 2006

(a.) Single target: smoking abstinence

(a.) Single target: smoking abstinence

Core dimension 3: organisational levels and categories targeted by the intervention

a. Multilevel

b. Multicategory

c. Single category

Baker 2014

(c.) Intervention directed only at single category of individuals within the individual level: patients past due for colorectal cancer screening

(c.) Intervention directed only at single category of individuals within the individual level: patients past due colorectal cancer screening

Bennett 2013

(c.) Intervention directed only at single category of individuals within the individual level: obese females of Black ethnic origin

(c.) Obese females of black ethnic origin

Bove 2013

(c.) Intervention directed only at single category of individuals within the individual level: subjects with elevated blood pressure

(c.) Intervention directed only at single category of individuals within the individual level: subjects with elevated blood pressure

Brendryen 2008

(c.) Intervention directed only at single category of individuals within the individual level: tobacco smokers

(c.) Tobacco smokers

Dubbert 2002

(c.) Sedentary primary care patients

(c.) Sedentary primary care patients

Fiscella 2011

(c.) Intervention directed only at single category of individuals within the individual level: patients past due recommended screening

(c.) Patients past due recommended screening

Hendren 2014

(c.) Intervention directed only at single category of individuals within the individual level: patients past due recommended screening

(c.) Patients past due recommended screening

Ho 2014

(c.) Intervention directed only at single category of individuals within the individual level: patients after hospitalisation for acute coronary syndrome

(c.) Intervention directed only at single category of individuals within the individual level: patients after hospitalisation for acute coronary syndrome

Kroenke 2010

(c.) Intervention directed only at single category of individuals within the individual level: cancer patients with depression and pain

(c.) Cancer patients with depression and pain

Kroenke 2014

(c.) Intervention directed only at single category of individuals within the individual level: patients with musculoskeletal pain

(c.) Patients with musculoskeletal pain

Magid 2011

(c.) Intervention directed only at single category of individuals within the individual level: patients with hypertension

(c.) Patients with hypertension

Morey 2009

(c.) Intervention directed only at single category of individuals within the individual level: sedentary (otherwise healthy) older adults

(c.) Intervention directed only at single category of individuals within the individual level: sedentary (otherwise healthy) older adults

Morey 2012

(c.) Intervention directed only at single category of individuals within the individual level: older adults at risk of diabetes mellitus

(c.) Intervention directed only at single category of individuals within the individual level: older adults at risk of diabetes mellitus

Shet 2014

(c.) Intervention directed only at single category of individuals within the individual level: patients with HIV

(c.) Intervention directed only at single category of individuals within the individual level: patients with HIV

Solomon 2007

(b.) Intervention directed at 2 or more categories of individuals within the individual level: primary care physicians and their patients at‐risk of osteoporosis

(b.) Control intervention directed at 2 or more categories of individuals within the individual level: primary care physicians and their patients at‐risk of osteoporosis

Stuart 2003

(c.) Intervention directed only at single category of individuals within the individual level: patients with depression

(c.) Intervention directed only at single category of individuals within the individual level: patients with depression

Velicer 2006

(c.) Intervention directed only at single category of individuals within the individual level: tobacco smokers

(c.) Tobacco smokers

Core dimension 4: the degree of tailoring intended or flexibility permitted across sites or individuals in intervention implementation/application

a. Fully tailored/flexible

b. Moderately tailored/flexible

c. Inflexible

d. Variesa

Baker 2014

(b.) Moderately tailored/flexible: a mailed reminder letter, a free faecal immunochemical test, an automated telephone and text message reminder, an automated telephone and text reminder 2 weeks later (inflexible); personal telephone outreach (flexible)

(b.) Moderately tailored/flexible: computerised reminders, standing orders to give patients home faecal immunochemical test (inflexible); clinician feedback on colorectal cancer screening rates (flexible)

Bennett 2013

(b.) Moderately tailored/flexible: self‐monitoring via IVR phone calls (inflexible); behaviour change goals, tailored skills training materials, monthly interpersonal counselling calls, and a 12‐month gym membership (flexible)

(c.) Newsletters sent were inflexible

Bove 2013

(c.) Telemedicine system, reminders, sphygmomanometer, weighting scale and pedometer have all been standardised

(d.) Varies across interventions included in the review

Brendryen 2008

(c.) E‐mail, web‐pages, IVR and SMS inflexible; quote: "Early in the morning, the user receives an e‐mail with instructions to open the day's web page. Each day for 6 weeks, the client opens a web page that is unique to that particular programme day."

(c.) Quote: "The booklet contains general cessation information, a 48‐day quit calendar, a 10‐day quit log, the telephone number of the national quit‐line and links to relevant and open on‐line tobacco cessation
resources"

Dubbert 2002

(b.) Moderately tailored/flexible: nurse used a semi‐standardised protocol.

(d.) Varies across interventions included in the review

Fiscella 2011

(c.) Clinician prompt, patient prompts, patient outreach all have been highly standardised

(b.) Discussions with patients were moderately tailored/flexible

Hendren 2014

(c.) Letters, ATCS calls, point‐of‐care prompts and blinded chart reviews all have been highly standardised

(c.) Blinded chart reviews have been highly standardised

Ho 2014

(b.) Moderately tailored/flexible: medication reconciliation and tailoring, patient education, collaborative care between pharmacists and providers (flexible); and voice messaging reminders (inflexible)

(b.) Usual care was moderately tailored/flexible

Kroenke 2010

(c.) Nurse care (using evidence‐based guidelines) and IVR monitoring and medications (all not flexible)

(d.) Varies across interventions included in the review

Kroenke 2014

(c.) Symptom monitoring, either via IVR or by Internet, nurse care and stepped care with analgesics (not flexible)

(d.) Varies across interventions included in the review

Magid 2011

(b.) Patient education, home blood pressure monitoring, home blood pressure measurement reporting to an ATCS (not flexible); and clinical pharmacist management of hypertension with physician oversight (flexible)

(d.) Varies across interventions included in the review

Morey 2009

(b.) Moderately tailored/flexible: quote: "Providers were encouraged to modify the script to suit their personal style."

(d.) Varies across interventions included in the review

Morey 2012

(b.) Moderately tailored/flexible: baseline counselling, regular telephone counselling, physician endorsement in clinic with monthly ATCS calls encouragement, and tailored mailed materials, plus a consult to a Veterans Affairs (VA) weight management programme

(d.) Varies across interventions included in the review

Shet 2014

(c.) An IVR call once a week + a weekly non‐interactive neutral pictorial message sent out as a reminder 4 days after the IVR call + usual care (inflexible)

(c.) Usual care counselling sessions + antiretroviral treatment (inflexible)

Solomon 2007

(b.) An advance letter, an ATCS call, and the opportunity to schedule a bone mineral density test (not flexible); specially trained pharmacists educated physicians (flexible).

(d.) Varies across interventions included in the review

Stuart 2003

(b.) Moderately tailored/flexible: treatment team education and patient self‐care education, nurse telephone call and IVR programme

(b.) Moderately tailored/flexible: treatment team education and patient self‐care education, nurse telephone call

Velicer 2006

(b.) Automated counselling plus nicotine replacement therapy, manuals, and expert system were all moderately tailored/flexible

(c.) Stage‐based self‐help manuals were inflexible

Core dimension 5: the level of skill required by those delivering the intervention

a. High level skills

b. Intermediate level skills

c. Basic skills

d. Variesa

Baker 2014

(b.) Intermediate level skills required in setting up the IVR phone calls and text reminders, providing outreach calls

(b.) Intermediate level skills required in providing feedback on colorectal cancer screening rates

Bennett 2013

(b.) Intermediate level skills required in delivering behaviour change goals, setting up the IVR phone calls, producing tailored skills materials and monthly interpersonal counselling calls

(c.) No specialised skills required in writing the newsletter

Bove 2013

(b.) Intermediate level skills required in reviewing patients' reports (physicians), motivating patients (nurses), setting up the reminder calls, emails

(c.) No specialised skills required in providing usual care

Brendryen 2008

(a.) Creating/writing emails, web‐pages, IVR and SMS requires high level skills

(c.) No specialised skills required in writing the booklet

Dubbert 2002

(b.) Intermediate level skills required in prerecording automated telephone messages

(d.) Varies across interventions included in the review

Fiscella 2011

(b.) Intermediate level skills required in e.g. prerecording automated telephone reminders

(c.) No specialised skills required in discussing breast cancer/colorectal cancer screening

Hendren 2014

(b.) Intermediate level skills required in e.g. prerecording automated telephone reminders

(c.) No specialised skills required in reviewing charts

Ho 2014

(b.) Intermediate level skills required in e.g. educating patients and/or prerecording telephone reminders

(c.) No specialised skills required in providing usual care

Kroenke 2010

(b.) Intermediate level skills required from nurses to manage pain and depression

(b.) Intermediate level skills required from nurses to manage pain and depression

Kroenke 2014

(b.) Intermediate level skills required from nurses to manage musculoskeletal pain

(c.) Basic skills required from primary care physicians

Magid 2011

(b.) Intermediate level skills required from pharmacists and physicians to manage hypertension

(d.) Varies

Morey 2009

(b.) Intermediate level skills required from primary care providers in e.g., recording automated messages, counselling and consulting patients

(c.) Basc level skills required from primary care providers

Morey 2012

(b.) Intermediate level skills required from primary care providers in recording automated messages, counselling and consulting patients

(b.) Intermediate level skills required from primary care providers in providing MOVE

Shet 2014

(b.) Intermediate level skills required in setting up the IVR phone calls + pictorial messages

(c.) Basic skills required

Solomon 2007

(a.) Extensive specialised skills required: "The visits were conducted by specially trained pharmacists . . . These pharmacists also underwent a 1‐ day training program focused on osteoporosis and conducted by 2 of the study authors. This program included lectures on the epidemiology, diagnosis, and treatment of osteoporosis. Also, it reviewed principles of academic detailing and the specific goals of this intervention."

(d.) Varies

Stuart 2003

(b.) Intermediate level skills required in e.g., prerecording IVR calls

(c.) Basic skills required in delivering education and nurse calls

Velicer 2006

(b.) Intermediate level skills required in recording automated messages, providing feedback reports

(c.) Basic skills required

Core dimension 6: the level of skill required for the targeted behaviour when entering the study by those receiving the intervention in order to meet the intervention's objectives

a. High level skills

b. Intermediate level skills

c. Basic skills

d. Variesa

Baker 2014

(c.) No specialised skills required

(c.) No specialised skills required

Bennett 2013

(c.) No specialised skills required

(c.) No specialised skills required

Bove 2013

(b.) Intermediate level skills required. Quote: "subjects were trained on use of a computer and the Internet and were introduced to the Web site at the research centre. Telemedicine subjects received instructions on use of an optional telephone communication system". They also received instructions on the use of sphygmomanometer, weighting scale and pedometer

(c.) No specialised skills required

Brendryen 2008

(b.) Access to the Internet, email and a cell phone on a daily basis was required

(c.) No specialised skills required

Dubbert 2002

(c.) No specialised skills required

(c.) No specialised skills required

Fiscella 2011

(c.) No specialised skills required

(c.) No specialised skills required

Hendren 2014

(c.) No specialised skills required

(c.) No specialised skills required

Ho 2014

(c.) No specialised skills required

(c.) No specialised skills required

Kroenke 2010

(c.) No specialised skills required

(c.) No specialised skills required

Kroenke 2014

(c.) No specialised skills required

(c.) No specialised skills required

Magid 2011

(b.) Patients were instructed about use of the ATCS, and trained on using an electronic blood pressure cuff

(d.) Varies across interventions included in the review

Morey 2009

(d.) Varies across interventions included in the review

(c.) No specialised skills required

Morey 2012

(d.) Varies across interventions included in the review

(c.) No specialised skills required

Shet 2014

(c.) No specialised skills required

(c.) No specialised skills required

Solomon 2007

(c.) No specialised skills required

(c.) No specialised skills required

Stuart 2003

(c.) No specialised skills required

(c.) No specialised skills required

Velicer 2006

(c.) No specialised skills required

(c.) No specialised skills required

Core dimension 7: the degree of interaction between intervention components/the independence/interdependence of intervention components

a. High level interaction
b. Moderate
c. Independent

d. Variesa

e. Unclear or unable to assess

Baker 2014

(a.) High level interaction; quote: "The majority of faecal occult blood testing completions were accomplished with
mailing FITs and sending automated voice and text reminders"

(d.) Varies across interventions included in the review

Bennett 2013

(b.) Moderate level of interaction; quote: "comprised 5 mutually reinforcing components"

(e.) Unclear or unable to assess in individuals receiving usual care

Bove 2013

(b.) Moderate level of interaction of the intervention components: the automated calls and emails and the use of sphygmomanometer to measure blood pressure, weighting scale and pedometer to promote physical activity

(e.) Unclear or unable to assess in patients receiving usual care

Brendryen 2008

(a.) High level interaction; quote: "further research is necessary to detect the active intervention
ingredients and their relative contributions"

(c.) Independent

Dubbert 2002

(a.) High level interaction; a synergistic effect has been observed

(e.) Unclear or unable to assess in patients receiving no calls

Fiscella 2011

(a.) High level interaction; quote: "combined interventions are superior to simpler interventions such as reminders"

(c.) Independent

Hendren 2014

(a.) There is substantial interaction or inter‐dependency between ATCS calls, a point‐of‐care prompt and mailing of a home colorectal cancer testing kits

(c.) Independent

Ho 2014

(b.) Moderate level of interaction: the intervention components are considered to be mutually reinforcing

(e.) Unclear or unable to assess in patients receiving usual care

Kroenke 2010

(a.) High level interaction; triggered telephone calls occurred when ATCS monitoring indicated inadequate symptom improvement, non‐adherence to medication, adverse effects, suicidal ideation

(e.) Unclear or unable to assess in patients receiving usual care

Kroenke 2014

(a.) High level interaction; IVR and nurse calls prompted adjustments in type or dose of analgesics delivered

(e.) Unclear or unable to assess in patients receiving usual care

Magid 2011

(a.) There was a high level interaction between the intervention components: Quote: "This difference was likely due to greater therapy intensification (number and intensity of hypertension medications) in the intervention group"

(e.) Unclear or unable to assess in patients receiving usual care

Morey 2009

(b.) Moderate level of interaction: personal and automatic calls are considered to be mutually reinforcing

(e.) Unclear or unable to assess in patients receiving usual care

Morey 2012

(b.) Moderate level of interaction: personal and automatic calls are considered to be mutually reinforcing

(e.) Unclear or unable to assess in patients receiving usual care

Shet 2014

(c.) The IVR calls and pictorial messages were independent of each other

(e.) Unclear or unable to assess in patients receiving usual care

Solomon 2007

(e.) Unable to assess the degree of interaction between physician education and ATCS calls

(e.) Unclear or unable to assess in patients receiving no intervention

Stuart 2003

(e.) Unable to assess the degree of interaction between education, nurse calls and IVR calls

(d.) Varies across interventions included in the review

Velicer 2006

(c.) Automated calls, nicotine replacement therapy, manuals, and expert system were independent of each other

(e.) Unclear or unable to assess in patients receiving stage‐matched manuals only

Core dimension 8: the interaction between the intervention and the context or setting

a. Highly context dependent
b. Moderately context dependent
c. Independent of context

d. Variesa

e. Unclear or unable to assess

Baker 2014

(d.) Varies across interventions included in the review

(d.) Varies across interventions included in the review

Bennett 2013

(e.) Unable to assess the level of interaction between the intervention and the context

(e.) Unable to assess the level of interaction between the intervention and the context

Bove 2013

(e.) Unable to assess the level of interaction between the intervention and the context

(d.) Varies across interventions included in the review

Brendryen 2008

(e.) Unable to assess the level of interaction between the intervention and the context

(e.) Unable to assess the level of interaction between the intervention and the context

Dubbert 2002

(e.) Unable to assess the level of interaction between the intervention and the context

(e.) Unable to assess the level of interaction between the intervention and the context

Fiscella 2011

(d.) Varies across interventions included in the review

(d.) Varies across interventions included in the review

Hendren 2014

(d.) Varies across interventions included in the review

(d.) Varies across interventions included in the review

Ho 2014

(d.) Varies across interventions included in the review

(d.) Varies across interventions included in the review

Kroenke 2010

(e.) Unable to assess the level of interaction between the intervention and the context

(d.) Varies across interventions included in the review

Kroenke 2014

(e.) Unable to assess the level of interaction between the intervention and the context

(d.) Varies across interventions included in the review

Magid 2011

(d.) Varies across interventions included in the review

(d.) Varies across interventions included in the review

Morey 2009

(d.) Varies across interventions included in the review

(d.) Varies across interventions included in the review

Morey 2012

(d.) Varies across interventions included in the review

(d.) Varies across interventions included in the review

Shet 2014

(e.) Unable to assess the level of interaction between the intervention and the context

(e.) Unable to assess the level of interaction between the intervention and the context

Solomon 2007

(e.) Unable to assess the level of interaction between the intervention and the context

(d.) Varies across interventions included in the review

Stuart 2003

(e.) Unable to assess the level of interaction between the intervention and the context

(d.) Varies across interventions included in the review

Velicer 2006

(e.) Unable to assess the level of interaction between the intervention and the context

(e.) Unable to assess the level of interaction between the intervention and the context

Core dimension 9: the degree to which the effects of an intervention are modified by factors relating to recipient, provider, or implementation factors

a. Highly dependent on individual‐level factors
b. Moderately dependent on individual‐level factors
c. Largely independent of individual‐level factors

d. Variesa

e. Unclear or unable to assess

Baker 2014

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Bennett 2013

(b.) Moderately dependent on individual‐level factor, i.e. registered dietitians or personalized progress reports

(e.) Unclear or unable to assess

Bove 2013

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Brendryen 2008

(c.) Largely independent of individual‐level factors

(c.) Largely independent of individual‐level factors

Dubbert 2002

(d.) Varies across interventions included in the review

(d.) Varies across interventions included in the review

Fiscella 2011

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Hendren 2014

(d.) Varies across interventions included in the review

(c.) The effects of the blinded chart reviews are not modified substantially by recipient or provider factors

Ho 2014

(d.) Varies across interventions included in the review

(d.) Varies across interventions included in the review

Kroenke 2010

(b.) Moderately dependent on individual‐level factor, i.e. nurse and pain‐psychiatrist specialist interaction

(e.) Unclear or unable to assess

Kroenke 2014

(b.) Moderately dependent on individual‐level factor, i.e. nurse management

(e.) Unclear or unable to assess

Magid 2011

(b.) Moderately dependent on individual‐level factor, i.e. clinical pharmacist management with physician oversight

(e.) Unclear or unable to assess

Morey 2009

(e.) Unclear or unable to assess

(e.) Unclear or unable to assess

Morey 2012

(e.) Unclear or unable to assess

(e.) Unclear or unable to assess

Shet 2014

(e.) Unclear or unable to assess

(e.) Unclear or unable to assess

Solomon 2007

(b.) The effects of the intervention are modified by one of recipient or factors, e.g. pharmacists' knowledge

(e.) Unclear or unable to assess

Stuart 2003

(e.) Unclear or unable to assess

(e.) Unclear or unable to assess

Velicer 2006

(e.) Unclear or unable to assess

(e.) Unclear or unable to assess

Core dimension 10: the length of the causal pathway between the intervention and the outcome it is intended to affect

a. Pathway variable, long
b. Pathway linear, long
c. Pathway linear, short

d. Variesa

e. Unclear or unable to assess

Baker 2014

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Bennett 2013

(c.) Pathway linear, short. Quote: "The high rates of IVR call engagement and their correlation with greater weight losses"

(e.) Unclear or unable to assess

Bove 2013

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Brendryen 2008

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Dubbert 2002

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Fiscella 2011

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Hendren 2014

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Kroenke 2010

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Kroenke 2014

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Magid 2011

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Morey 2009

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Morey 2012

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Shet 2014

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Solomon 2007

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Stuart 2003

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

Velicer 2006

(d.) Varies across interventions included in the review

(e.) Unclear or unable to assess

aVaries across interventions to be considered for/included in the review.
Dimension 1: lists each component of the intervention and indicate whether they are delivered independently, together in bundles, or as integrated packages. If the intervention comprises 'usual care' plus an additional component, list 'usual care' as one component. Include dose, frequency, and duration of intervention if applicable.
Dimension 2: lists each behaviour or action; consider whether target behaviours are single, repeated, or linked.
Dimension 3: indicates which level(s) are targeted.
Dimension 4: indicates the degree of flexibility including variation in implementation from site to site permitted and/or intervention designed to tailor to individuals or specific implementation settings (there could be a rigid protocol where no variation is permitted or a loose protocol, i.e. most components of the intervention are tailored/flexible).
Dimension 5: indicates the level of skill required Indicate whether the required skills are multidisciplinary, interdisciplinary or single disciplinary. Note: there may be no new skills required.
Dimension 6: describes or lists the skills required
Dimension 7: describes the interaction between intervention components. Note: interaction may not be reported or may be implicit.
Dimension 8: describes the degree to which the effects of the intervention are dependent on the context or setting in which it is implemented.
Dimension 9: indicates the degree of modification.
Dimension 10: describes the causal pathway. It may or may not be linear, and there may be more than one causal pathway. It may be helpful to use diagrams.

Figuras y tablas -
Table 4. Intervention Complexity Assessment Tool for Systematic Reviews
Table 5. Effectiveness of ATCS

Study ID

Typea

Subtype

Participant age (years)

Sex

Ethnicityb

Primary outcome measures

Effectc

Tucker 2012

P

Alcohol misuse

41‐70

> 50% M

W

Drinking practices

Spending on alcohol

2

2

(median effect = 2)

Franzini 2000

P

Immunisation

Immunisation status

Cost‐effectiveness

1

1

(median effect = 1)

Hess 2013

P

Immunisation

≥ 71

Herpes zoster immunisations

1

Dini 2000

P

Immunisation

0‐21

Immunisation status

2

LeBaron 2004

P

Immunisation

0‐21

M = F (± 3%)

W,B,H

Completion by the age of 24 months of the 4‐3‐1‐3 immunisations series

2

Lieu 1998

P

Immunisation

0‐21

Immunisation status

2

Linkins 1994

P

Immunisation

M = F (± 3%)

W,B

Immunisation status

1

Nassar 2014

P

Immunisation

22‐40

> 50% F

W,B

Immunisation rate

2

Stehr‐Green 1993

P

Immunisation

0‐21

M = F (± 3%)

B,H

Immunisation status

2

Szilagyi 2006

P

Immunisation

0‐21

M = F (± 3%)

W,B,H

Immunisation status

2

Szilagyi 2013

P

Immunisation

0‐21

M = F (± 3%)

Immunisation status

Preventive visit rate

1

1

David 2012

P

Physical activity

41‐70

> 50% F

W

1‐mile walk after the intervention

5

Dubbert 2002

P

Physical activity

41‐70

> 50% M

Self‐reported (diary) walking adherence

1

Jarvis 1997

P

Physical activity

41‐70

> 50% F

B

Minutes walked per week

1

King 2007

P

Physical activity

41‐70

> 50% F

W

Minutes of moderate to vigorous physical activity

1

Morey 2009

P

Physical activity

≥ 71

> 50% M

W,B

Gait speed (usual and rapid)

Self‐reported physical activity

Function and disability

2, 1

1

2

(median effect = 2)

Morey 2012

P

Physical activity

41‐70

> 50% M

W

Homeostasis model assessment of insulin resistance

2

Pinto 2002

P

Physical activity

41‐70

> 50% F

W,B

Energy expenditure in moderate‐intensity‐physical activity

% meeting recommendations for moderate‐intensity‐physical activity

Motivational readiness for physical activity

2

2

2

(median effect = 2)

Sparrow 2011

P

Physical activity

≥ 71

> 50% M

Muscle strength

Balance

Walk distance

Mood

1

1

2

1

(median effect = 1)

Baker 2014

P

Screening

41‐70

> 50% F

H

Colorectal cancer screening adherence (faecal occult blood testing)

1

Cohen‐Cline 2014

P

Screening

41‐70

> 50% M

W

Receipt of any recommended colorectal cancer screening

1

Corkrey 2005

P

Screening

> 50% F

Screening rate

2

DeFrank 2009

P

Screening

> 50% F

W,B,A

Mammography adherence

1

Durant 2014

P

Screening

41‐70

M = F (± 3%)

Receipt of colorectal cancer screening after 3 months

Fiscella 2011

P

Screening

> 50% F

W,B,H,A

Chart documentation of breast cancer screening, colorectal cancer screening, or both

1

Fortuna 2014

P

Screening

> 50% F

W,B

Breast cancer and colorectal cancer screening

2

Hendren 2014

P

Screening

> 50% F

W,B,H

Documentation of breast cancer screening, colorectal cancer screening, or both

1

Heyworth 2014

P

Screening

41‐70

> 50% F

Bone mineral density screening after 12 months

1

Mosen 2010

P

Screening

41‐70

M = F (± 3%)

W

Completion of faecal occult blood testing at 6 months

1

Phillips 2015

P

Screening

41‐70

> 50% F

W,B

Completed mammogram or colorectal cancer screening within 36 weeks of randomisation

2

Simon 2010a

P

Screening

41‐70

M = F (± 3%)

W

Colorectal cancer screening

2

Solomon 2007

P

Screening

41‐70

> 50% F

Bone mineral density testing and/or filling a prescription for a bone active medication

1

Mahoney 2003

P

Stress management

among caregivers

41‐70

> 50% F

W,B

Caregiver's appraisal of the bothersome nature of caregiving

Anxiety

Depression

2

2

2

(median effect = 2)

Aharonovich 2012

P

Substance use

41‐70

> 50% M

W,H

Days using primary drug

2

Bennett 2012

P

Weight management

41‐70

> 50% F

B,H

Change in body weight and BMI

1

Bennett 2013

P

Weight management

22‐40

> 50% F

B

Change in body weight and BMI

1

Estabrooks 2008

P

Weight management

41‐70

> 50% F

W,B,H,A

Physical activity

Dietary habits

Weight loss

2

2

2

(median effect = 2)

Estabrooks 2009

P

Weight management

0‐21

> 50% M

W,H

BMI z‐score

Physical activity and sedentary behaviour

Dietary habits

Eating disorder symptoms

2

2

2

2

(median effect = 2)

Goulis 2004

P

Weight management

41‐70

> 50% F

Body weight

BMI

Systolic blood pressure

Diastolic blood pressure

Plasma glucose

Serum triglycerides

Serum serum high‐density lipoprotein‐cholesterol

Total serum cholesterol

SF‐36

EQ‐5D

Obesity Assessment Survey

1

2

2

2

2

1

1

2

2

2

2

(median effect = 2)

Vance 2011

P

Weight management

Weight change

2

Wright 2013

P

Weight management

0‐21

> 50% M

W,B

BMI

Calorie intake

Fat intake

Fruit intake

Vegetable intake

Television‐viewing time

2

2

2

2

2

2

(median effect = 2)

Dini 1995

E

Appointment reminder

Appointment adherence

1

Griffin 2011

E

Appointment reminder

41‐70

> 50% M

W

Appointment non‐attendance

Preparation non‐adherence

2

2

(median effect = 2)

Maxwell 2001

E

Appointment reminder

22‐40

> 50% F

W,B,H

Attendance rate

2

Parikh 2010

E

Appointment reminder

M = F (± 3%)

Appointment adherence

1

Reekie 1998

E

Appointment reminder

Appointment adherence

2

Tanke 1994

E

Appointment reminder

0‐21

> 50% M

H

Appointment adherence

1

Tanke 1997

E

Appointment reminder

0‐21

> 50% F

W,H

Appointment adherence (3‐day interval)

1

Moore 2013

M

Illicit drugs addiction

41‐70

> 50% M

W,B

Patient interest

Perceived efficacy

Ease of use

Treatment satisfaction

Retention rate

Drug consumption

Methadone counselling

Coping

5

5

5

4

4

2

2

2

(median effect = 4)

Andersson 2012

M

Alcohol consumption

AUDIT score

1

Hasin 2013

M

Alcohol consumption

41‐70

> 50% M

B,H

Number of drinks per drinking day

1

Helzer 2008

M

Alcohol consumption

41‐70

> 50% M

W

Weekly alcohol consumption

3

Litt 2009

M

Alcohol consumption

41‐70

> 50% M

W,B,H

Proportion of days abstinent

Proportion of heavy drinking days

Continuous abstinence

Drinking problems

Coping problems

1

2

2

2

2

(median effect = 2)

Mundt 2006

M

Alcohol consumption

41‐70

> 50% M

W,B

Self‐reported drinking patterns

Blood alcohol content

Work and social adjustment scale

Obsessive–compulsive drinking scale

SF‐36 health survey

Drinker inventory of consequences

2

2

2

2

2

2

(median effect = 2)

Rose 2015

M

Alcohol consumption

41‐70

M = F (± 3%)

Alcohol consumption

2

Rubin 2012

M

Alcohol consumption

41‐70

> 50% M

W,B

Number of heavy drinking days per month

% days abstinent per month

Drinks per drinking day

2

2

2

(median effect = 2)

Simpson 2005

M

Alcohol consumption

41‐70

> 50% M

W,B

Drinking habits

Alcohol craving

Post‐traumatic stress disorder symptoms

2

2

2

(median effect = 2)

Vollmer 2006

M

Asthma

41‐70

> 50% F

W

Healthcare utilisation

Medication use

QoL

2

2

2

(median effect = 2)

Xu 2010

M

Asthma

0‐21

M = F (± 3%)

Healthcare utilisation

4

Cleeland 2011

M

Cancer

41‐70

> 50% M

W

Number of symptom threshold events

Cumulative distribution of symptom threshold events

Differences in mean symptom severity between discharge and follow‐up

1

2

2

(median effect = 2)

Kroenke 2010

M

Cancer

41‐70

> 50% F

W,B

Depression severity

Pain severity

1

1

(median effect = 1)

Mooney 2014

M

Cancer

41‐70

> 50% F

W

Symptom presence, severity, and distress data

2

Siegel 1992

M

Cancer

41‐70

M = F (± 3%)

W,B,H

Prevalence of unmet needs

2

Sikorskii 2007

M

Cancer

41‐70

> 50% F

Symptom severity

2

Spoelstra 2013

M

Cancer

41‐70

> 50% F

W,B,A

Adherence to medications

Symptom severity

2

1

(median effect = 2)

Yount 2014

M

Cancer

41‐70

M = F (± 3%)

W,B,H

Symptom burden

2

Naylor 2008

M

Chronic Pain

41‐70

> 50% F

W

Pain

Function/disability

Coping

1

1

1

(median effect = 1)

Kroenke 2014

M

Chronic Pain

41‐70

> 50% M

W

Pain intensity

1

Halpin 2009

M

Chronic obstructive pulmonary disease

41‐70

> 50% M

Frequency of exacerbations

Proportion of patients experiencing 1 or more exacerbations

2

2

(median effect = 2)

Adams 2014

M

Adherence

0‐21

> 50% M

B

Comprehensiveness of screening and counselling

1

Bender 2010

M

Adherence

41‐70

> 50% F

W,B,H,A

Medication adherence

1

Bender 2014

M

Adherence

0‐21

Medication adherence

1

Boland 2014

M

Adherence

41‐70

M = F (± 3%)

W,B,H,A

Medication adherence

1

Cvietusa 2012

M

Adherence

0‐21

Medication adherence

1

Derose 2009

M

Adherence

41‐70

> 50% M

W,B,H,A

Adherence (completion of all 3 recommended laboratory tests)

2

Derose 2013

M

Adherence

41‐70

M = F (± 3%)

W,B,H,A

Medication adherence

1

Feldstein 2006

M

Adherence

41‐70

M = F (± 3%)

Completion of all recommended laboratory tests

1

Friedman 1996

M

Adherence

≥ 71

> 50% F

B

Medication adherence

Systolic blood pressure

Diastolic blood pressure

1

2

1

(median effect = 1)

Glanz 2012

M

Adherence

41‐70

> 50% M

W,B

Medication adherence

Refill adherence

Appointment adherence

2

2

2

(median effect = 2)

Green 2011

M

Adherence

Medication refill rate

1

Ho 2014

M

Adherence

41‐70

> 50% M

W

Medication adherence

1

Leirer 1991

M

Adherence

≥ 71

> 50% F

Medication non‐adherence

Cognitive assessment

1

2

(median effect = 2)

Lim 2013

M

Adherence

41‐70

M = F (± 3%)

W,B,H,A

Adherence rate

Therapeutic coverage

2

2

(median effect = 2)

Migneault 2012

M

Adherence

41‐70

> 50% F

B

Medication adherence

Diet

Moderate or greater intensity physical activity

2

1

4

(median effect = 2)

Mu 2013

M

Adherence

Medication adherence

1

Ownby 2012

M

Adherence

≥ 71

Medication adherence

1

Patel 2007

M

Adherence

41‐70

M = F (± 3%)

HRQLAdherence to statins

1

Reynolds 2011

M

Adherence

Medication adherence (refill rate)

1

Sherrard 2009

M

Adherence

41‐70

Adherence and adverse events

1

Simon 2010b

M

Adherence

41‐70

> 50% M

B

Retinopathy examination

4

Stacy 2009

M

Adherence

41‐70

> 50% F

6‐month point prevalence

1

Stuart 2003

M

Adherence

Adherence to medications

2

Vollmer 2011

M

Adherence

41‐70

> 50% F

W,B,A

Medication adherence

1

Vollmer 2014

M

Adherence

41‐70

M = F (± 3%)

W,B,A

Medication adherence

1

Graziano 2009

M

Diabetes mellitus

41‐70

> 50% M

W

Glycated haemoglobin

2

Homko 2012

M

Diabetes mellitus

41‐70

> 50% F

W,B,H

Maternal blood glucose level

Infant birth weight

2

2

(median effect = 2)

Katalenich 2015

M

Diabetes mellitus

41‐70

> 50% F

W,B,H,A

Glycated haemoglobin

Medication adherence

Quality of life

Cost‐effectiveness

2

2

2

1

(median effect = 2)

Khanna 2014

M

Diabetes mellitus

41‐70

> 50% M

H

Glycated haemoglobin

4

Kim 2014

M

Diabetes mellitus

Glycated haemoglobin

1

Lorig 2008

M

Diabetes mellitus

41‐70

> 50% F

H

Glycated haemoglobin

Health distress

Global health

Hypoglycaemia

Hyperglycaemia

Activity limitation

Fatigue

Physical activity levels

Communication with physician

Glucose monitoring

Self‐efficacy

Healthcare utilisation

4

4

4

2

4

4

4

2

4

1

4

2

(median effect = 4)

Piette 2000

M

Diabetes mellitus

41‐70

> 50% F

W,H

Depression
Anxiety
Self‐efficacy
Days in bed because of illness

Days cut down on activities because of illness

Diabetes‐specific health‐related quality of life

Satisfaction with care (English speakers only)

General health‐related quality of life (English speakers only)

1

2

1

1

2

6

1

1

(median effect = 1)

Piette 2001

M

Diabetes mellitus

41‐70

> 50% M

W,B,H

Glucose monitoring

Foot inspection

Weight monitoring

Medication adherence

Glycated haemoglobin

Serum glucose levels

Diabetic symptoms (all)

Hyperglycaemic symptoms

Hypoglycaemic symptoms

Vascular symptoms

Other symptoms

Satisfaction with care (summary score)

1

1

2

4

2

2

1

2

2

2

1

1

(median effect = 2)

Schillinger 2009

M

Diabetes mellitus

41‐70

> 50% F

W,B,H,A

Change in self management behaviour (self‐monitoring of blood glucose and self‐monitoring of diabetic foot)

1

Williams 2012

M

Diabetes mellitus

41‐70

> 50% M

Glycated haemoglobin

Health‐related quality of life (mental)

Health‐related quality of life (physical)

1

1

2

(median effect = 1)

Capomolla 2004

M

Heart failure

41‐70

> 50% M

All‐cause mortality

Re‐hospitalisation

Emergency room use (composite outcome)

1

Chaudhry 2010

M

Heart failure

41‐70

> 50% M

W,B

Readmission for any reason or death from any cause

4

Krum 2013

M

Heart failure

≥ 71

> 50% M

Packer clinical composite score: death, hospital admission for heart failure, withdrawal from study due to worsening heart failure, 7‐point global health assessment questionnaire

2

Kurtz 2011

M

Heart failure

41‐70

> 50% M

Cardiovascular deaths and hospitalisations (outcomes in isolation included cardiovascular deaths, hospitalisations for heart failure, and time to primary endpoint)

1

Shet 2014

M

HIV

> 50% M

A

Time to virological failure (viral load > 400 copies/mL on 2 consecutive measurements)

2

Hyman 1996

M

Hypercholestorolemia

41‐70

> 50% F

W

Total cholesterol reduction

2

Hyman 1998

M

Hypercholesterolemia

41‐70

> 50% F

B

Total cholesterol reduction

2

Bove 2013

M

Hypertension

41‐70

> 50% F

W,B,H

Blood pressure control at 6 months

2

Dedier 2014

M

Hypertension

41‐70

> 50% F

H

Change in minutes of moderate or greater physical activity

Change in systolic blood pressure

1

2

(median effect = 2)

Harrison 2013

M

Hypertension

Blood pressure

1

Magid 2011

M

Hypertension

41‐70

> 50% M

W,H

Proportion to achieve guideline‐recommended blood pressure goals

Systolic blood pressure

Diastolic blood pressure

2

1

2

(median effect = 2)

Piette 2012

M

Hypertension

41‐70

> 50% F

Systolic blood pressure

2

Farzanfar 2011

M

Mental health

22‐40

> 50% F

W,B

Quality of life (physical scale score and mental scale score)

Depression

Stress levels

Total well‐being

2, 2

2

2

2

(median effect = 2)

Greist 2002

M

Mental health

22‐40

> 50% M

W

Yale‐Brown obsessive compulsive scale (YBOCS) score

1

Zautra 2012

M

Mental health

Emotional health

Physical health

Stress

1

1

1

(median effect = 1)

DeMolles 2004

M

Obstructive sleep apnoea syndrome

41‐70

Continuous positive airway pressure use

2

Sparrow 2010

M

Obstructive sleep apnoea syndrome

41‐70

> 50% M

Continuous positive airway pressure use

1

Brendryen 2008

M

Smoking

22‐40

M = F (± 3%)

Repeated point abstinence

1

Carlini 2012

M

Smoking

22‐40

> 50% F

W,B,H,A

Re‐enrollment into quit line support

1

Ershoff 1999

M

Smoking

22‐40

> 50% F

W,B

Smoking abstinence

2

McNaughton 2013

M

Smoking

41‐70

> 50% M

Self‐reported abstinence

Biochemically confirmed smoking abstinence

2

4

(median effect = 3)

Peng 2013

M

Smoking

0‐21

> 50% M

A

Stage of change

Self‐efficacy

Decisional balance

5

5

5

(median effect = 5)

Regan 2011

M

Smoking

41‐70

> 50% M

Smoking abstinence

4

Reid 2007

M

Smoking

41‐70

> 50% M

Smoking abstinence

2

Reid 2011

M

Smoking

Smoking abstinence

2

Rigotti 2014

M

Smoking

41‐70

M = F (± 3%)

W,B,H,A

Biochemically confirmed tobacco abstinence at 6 months

1

Velicer 2006

M

Smoking

41‐70

> 50% M

W,B,A

24‐h point prevalence

7‐d point prevalence

6‐month prolonged abstinence

2

2

2

(median effect = 2)

Houlihan 2013

M

Spinal cord dysfunction

41‐70

> 50% M

W,B,H

Prevalence of pressure ulcers

Depression severity

Healthcare utilisation

2

1

2

(median effect = 2)

aStudy type: E: either prevention or management; M: management of long‐term condition; P: prevention.
bEthnicity: A: American Indian/Alaskan native; B: black/African American; H: Hispanic; W: white.
cEffect: 1: Significant positive; 2: non‐sig positive; 3: significant negative; 4: non‐significant negative; 5: no difference (significant); 6: no difference (non‐significant)

Figuras y tablas -
Table 5. Effectiveness of ATCS
Comparison 1. ATCS vs control for improving health services uptake (immunisations)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Immunisation in children Show forest plot

5

10454

Risk Ratio (M‐H, Random, 95% CI)

1.25 [1.18, 1.32]

2 Immunisation in adolescents Show forest plot

2

5725

Risk Ratio (M‐H, Random, 95% CI)

1.06 [1.02, 1.11]

3 Immunisation in adults Show forest plot

2

1743

Risk Ratio (M‐H, Random, 95% CI)

2.18 [0.53, 9.02]

Figuras y tablas -
Comparison 1. ATCS vs control for improving health services uptake (immunisations)
Comparison 2. ATCS vs control for improving health services uptake (screening rates)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Breast cancer screening Show forest plot

4

Risk Ratio (M‐H, Random, 95% CI)

Subtotals only

1.1 Multimodal/complex interventions

2

462

Risk Ratio (M‐H, Random, 95% CI)

2.17 [1.55, 3.04]

1.2 IVR

2

2599

Risk Ratio (M‐H, Random, 95% CI)

1.05 [0.99, 1.11]

2 Colorectal cancer screening Show forest plot

7

Risk Ratio (M‐H, Random, 95% CI)

Subtotals only

2.1 Multimodal/complex intervention

3

1013

Risk Ratio (M‐H, Random, 95% CI)

2.19 [1.88, 2.55]

2.2 IVR (shorter follow‐up)

2

16915

Risk Ratio (M‐H, Random, 95% CI)

1.36 [1.25, 1.48]

2.3 IVR (longer follow‐up)

2

21335

Risk Ratio (M‐H, Random, 95% CI)

1.01 [0.97, 1.05]

Figuras y tablas -
Comparison 2. ATCS vs control for improving health services uptake (screening rates)
Comparison 3. ATCS vs control for reducing body weight

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 BMI adults Show forest plot

3

672

Mean Difference (IV, Random, 95% CI)

‐0.64 [‐1.38, 0.11]

Figuras y tablas -
Comparison 3. ATCS vs control for reducing body weight
Comparison 4. ATCS vs usual care for managing diabetes mellitus

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Glycated haemoglobin Show forest plot

7

1216

Mean Difference (IV, Random, 95% CI)

‐0.26 [‐0.50, ‐0.01]

2 Self‐monitoring of diabetic foot Show forest plot

2

498

Std. Mean Difference (IV, Random, 95% CI)

0.24 [0.06, 0.42]

Figuras y tablas -
Comparison 4. ATCS vs usual care for managing diabetes mellitus
Comparison 5. ATCS vs usual care for reducing healthcare utilisation in patients with heart failure

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Cardiac mortality Show forest plot

2

215

Risk Ratio (M‐H, Random, 95% CI)

0.60 [0.21, 1.67]

2 All‐cause mortality Show forest plot

3

2165

Risk Ratio (M‐H, Random, 95% CI)

1.00 [0.79, 1.28]

Figuras y tablas -
Comparison 5. ATCS vs usual care for reducing healthcare utilisation in patients with heart failure
Comparison 6. ATCS vs usual primary care and education or usual care for managing hypertension

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Systolic blood pressure Show forest plot

3

65256

Mean Difference (IV, Random, 95% CI)

‐1.89 [‐2.12, ‐1.66]

2 Diastolic blood pressure Show forest plot

2

65056

Mean Difference (IV, Random, 95% CI)

0.02 [‐2.62, 2.66]

Figuras y tablas -
Comparison 6. ATCS vs usual primary care and education or usual care for managing hypertension
Comparison 7. ATCS for smoking cessation

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Smoking abstinence Show forest plot

7

2915

Risk Ratio (M‐H, Random, 95% CI)

1.20 [0.98, 1.46]

Figuras y tablas -
Comparison 7. ATCS for smoking cessation