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Intervenciones de formación para los profesionales sanitarios que tratan la enfermedad pulmonar obstructiva crónica en la atención primaria

Información

DOI:
https://doi.org/10.1002/14651858.CD012652.pub2Copiar DOI
Base de datos:
  1. Cochrane Database of Systematic Reviews
Versión publicada:
  1. 06 mayo 2022see what's new
Tipo:
  1. Intervention
Etapa:
  1. Review
Grupo Editorial Cochrane:
  1. Grupo Cochrane de Vías respiratorias

Copyright:
  1. Copyright © 2022 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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Autores

  • Amanda J Cross

    Correspondencia a: Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Australia

    [email protected]

  • Jenifer Liang

    Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Australia

  • Dennis Thomas

    Priority Research Centre for Healthy Lungs, Hunter Medical Research Institute, University of Newcastle, Newcastle, Australia

  • Elida Zairina

    Department of Pharmacy Practice, Faculty of Pharmacy, Universitas Airlangga, Surabaya, Indonesia

  • Michael J Abramson

    School of Public Health & Preventive Medicine, Monash University, Melbourne, Australia

  • Johnson George

    Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Australia

Contributions of authors

Screening of titles and abstracts: AC, JL, EZ, DT, JG

Assessment of studies for inclusion: AC, JL, EZ, DT, MA, JG

Quality assessment: AC, JL, EZ, DT, JG

Data extraction: AC, JL, EZ, DT, JG

Data entry into RevMan: AC, JL

Data analysis and interpretation: AC in consultation with JL, EZ, DT, MA, JG

Writing of review: AC, JL, MA, JG

Contributions of editorial team

Emma Dennett (Deputy Co‐ordinating Editor): co‐ordinated the editorial process; advised on interpretation and content; edited the review, signed off the review for publication.

Anne Holland (Contact Editor): edited the review; advised on methodology, interpretation and content, assisted with sign‐off.

Rebecca Fortescue (Co‐ordinating Editor) checked the data in the review.

Emma Jackson (Managing Editor): conducted peer review and edited the references and other sections of the protocol and the review. 

Elizabeth Stovold (Information Specialist): designed the search strategy; ran the searches; edited the search methods section.

Sources of support

Internal sources

  • Victorian College of Pharmacy Foundation Board, Australia

    Miss Liang is the recipient of the Cyril Tonkin Scholarship administered in 2014 by the Victorian College of Pharmacy Foundation Board at Monash University (Parkville campus), Australia.

External sources

  • National Institute for Health Research, UK

    This project was supported by the National Institute for Health Research, via Cochrane Infrastructure funding to Cochrane Airways. The views and opinions expressed therein are those of the review authors and do not necessarily reflect those of the Systematic Reviews Programme, NIHR, NHS or the Department of Health and Social Care. 

Declarations of interest

AJC: none known.

JL: declares funding from Boehringer Ingelheim via investigator‐initiated research grants.

DT: none known.

EZ: none known.

MJA: declares funding from Pfizer, Sanofi, GSK and Boehringer Ingelheim via investigator‐initiated research grants, and Sanofi for consultancies and travel, all for unrelated research.

JG: declares funding from Pfizer and Boehringer Ingelheim via an investigator‐initiated research grant and GSK via investigator‐sponsored grant and consultation fee for unrelated research. JG has received in‐kind support from Vitalograph®, the manufacturers of COPD‐6TM, for unrelated research.

Acknowledgements

We would like to acknowledge support and assistance received from the Cochrane Airways editors and staff, particularly Emma Dennett, Emma Jackson and Rebecca Fortescue. 

We would like to acknowledge Gabriel Izbicki for assistance with reviewing potentially eligible studies published in French and German.

The authors and Airways Editorial Team are grateful to the following peer reviewers for their time and comments: Hilary Pinnock (The University of Edinburgh, UK); Biljana Cvetkovski (University of Sydney, Australia) and Bernard McCarthy (National University of Ireland, Galway, Ireland).

The Background and Methods sections of this review are based on a standard template used by Cochrane Airways.

This project was partially funded by a Lung Foundation Australia/Cochrane Airways Group scholarship 2019.

Version history

Published

Title

Stage

Authors

Version

2022 May 06

Educational interventions for health professionals managing chronic obstructive pulmonary disease in primary care

Review

Amanda J Cross, Jenifer Liang, Dennis Thomas, Elida Zairina, Michael J Abramson, Johnson George

https://doi.org/10.1002/14651858.CD012652.pub2

2017 May 03

Educational interventions for health professionals managing COPD in primary care

Protocol

Jenifer Liang, Michael J Abramson, Johnson George

https://doi.org/10.1002/14651858.CD012652

Differences between protocol and review

In the meta‐analysis of health‐related quality of life (HRQoL), we chose to present subgroups based on timing of outcome (6 months and 12 months). This was not specified in our protocol, but we believed these subgroups would help to describe and understand the findings and may be of interest to clinicians, policymakers and researchers.

We could not conduct other subgroup analyses as planned, due to an insufficient number of studies identified within each comparison and each outcome.

We could not conduct sensitivity analyses as planned, due to an insufficient number of studies identified with low risk of bias within each comparison and each outcome.

We could not conduct sensitivity analyses to explore the impact of including studies with missing data due to insufficient numbers of studies identified within each comparison and each outcome.

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.

Study flow diagram.

Figuras y tablas -
Figure 1

Study flow diagram.

original image

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Figure 2

original image

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Figure 3

original image

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Figure 4

Comparison 1: Health‐related quality of life (HRQoL): intervention versus usual care, Outcome 1: HRQoL using St George's Respiratory Questionnaire (SGRQ)

Figuras y tablas -
Analysis 1.1

Comparison 1: Health‐related quality of life (HRQoL): intervention versus usual care, Outcome 1: HRQoL using St George's Respiratory Questionnaire (SGRQ)

Summary of findings 1. Educational interventions for health professionals managing chronic obstructive pulmonary disease in primary care

Educational interventions for health professionals managing chronic obstructive pulmonary disease in primary care

Patient or population: health professionals managing COPD
Setting: primary care
Intervention: key elements of the intervention categorised into 5 groups: 1) HCP education; 2) provision of practice support tools, tool kits and/or algorithms to assist with patient management (10 studies); 3) resources related to guidelines and/or guideline dissemination (9 studies); 4) training on spirometry (5 studies); and 5) feedback, mentorship and ongoing support (7 studies)
Comparison: no intervention or against printed management guideline dissemination only

Outcomes

Impacts

Number of studies (participants)

Quality of the evidence (GRADE)

Comment

Proportion of people with COPD diagnoses confirmed with spirometry

Two studies reported that the intervention may increase the number of new COPD diagnoses, whereas another showed no significant effect. One study reported that the intervention increased the number of patients who had spirometry performed. One study reported no significant effect on change in rate of spirometry in patients affiliated with the practice.a

(1896b)

⊕⊝⊝⊝

Very lowc

We are uncertain of the effects of educational interventions for health professionals on the proportion of COPD diagnoses confirmed with spirometry.

Proportion of patients with COPD referred to, participating in or having completed pulmonary rehabilitation

Two studies involving blended face‐to‐face and online education to physicians increased referral to pulmonary rehabilitation. Two studies targeting physicians and nurses or physicians and practice assistants with education related to team‐based COPD care showed no significant impact on referral.a  

4 (625)d

⊕⊕⊝⊝

Lowe

We are uncertain of the effects of educational interventions for health professionals on the proportion of patients with COPD who are referred to, participate in or complete pulmonary rehabilitation. 

Proportion of patients with COPD prescribed respiratory medication consistent with recommended guidelines

Six studies involving education for prescribers, guideline provision, central case management resources and/or increased prescribing provisions for nurse practitioners reported significant changes in prescribing. However, six studies showed no significant impact on prescribing.a 

12 (52,899)f

⊕⊕⊝⊝

Lowg

We are uncertain of the effects of educational interventions for health professionals on the proportion of patients with COPD prescribed respiratory medication consistent with guideline recommendations.

Proportion of patients with COPD vaccinated against influenza/pneumococcal infections

Follow‐up: 12 months

Two studies involving education on COPD management/guidelines to both general practitioners and nurses/practice assistants significantly improved influenza vaccination rates in the intervention group, but showed no significant impact on pneumococcal vaccination rates. One study involving education for physicians, use of COPD CareManager online module and access to central case management was uncertain.

Two studies reported no clear impact on pneumococcal vaccination rates compared to usual care.

4 (6846)

⊕⊕⊕⊝

Moderateh

Educational interventions for health professionals probably improve the proportion of patients with COPD vaccinated against influenza, but probably have little impact on the proportion of patients vaccinated against pneumococcal infection.

HRQoL

Follow‐up: 6, 12 months

Five studies using the SGRQ as a measure of HRQoL were included in meta‐analyses (at 6 months MD 0.87, 95% CI ‐2.51 to 4.26; 406 participants, and at 12 months MD ‐0.43, 95% CI ‐1.52 to 0.67; 1646 participants). Seven studies were excluded from the meta‐analysis due to alternative reporting of outcome data, six showed no significant impact on HRQoL. 

12 (6526)

⊕⊕⊝⊝

Lowi

Educational interventions for health professionals may lead to little or no impact on the HRQoL of patients with COPD. 

The MCID of the SGRQ is 4 units.

Frequency of COPD exacerbations

Follow‐up: 12, 24 months

Ten studies were identified, using various definitions of COPD exacerbations. One study reported reduced hospitalisations in people with COPD at 12 months, but no clear benefit at 24 months. Nine studies did not demonstrated a significant impact on the frequency of exacerbations.a 

10 (3128j)

⊕⊕⊝⊝

Lowk

Educational interventions for health professionals may have little or no impact on the frequency of COPD exacerbations.

Patient satisfaction with health care

One intervention involving training for clinicians and a model of care in which patients received three dimensions of review of their health (by nurse, pharmacist and physician) resulted in a higher proportion of patients being “very satisfied with care” compared to usual care. 

1 (1222)

⊕⊕⊕⊝

Moderatel

Educational interventions may improve patient satisfaction with care.

aMeta‐analysis was not possible due to differences in the definition of outcome and reporting of results.

bTotal number of patient participants reported in three out of four studies only.

cOne mark deducted due to high or unclear risk of bias across studies including blinding of outcome assessment. One mark deducted due to heterogeneity in the definition and reporting of outcome. One mark deducted due to imprecision with low event numbers in two of four studies.

dTotal number of patient participants reported in three out of four studies only.

eOne mark deducted due to high or unclear risk of bias across studies including allocation concealment and blinding of outcome assessment. One mark deducted due to imprecision with low event numbers in two of four studies.

fTotal number of patient participants reported in eight out of 12 studies only.

gOne mark deducted due to high or unclear risk of bias across studies with four of 11 studies having more than half of the domains as high or unclear risk of bias. One mark deducted due to heterogeneity in the definition of the outcome (including which respiratory medications were reported, whether it was the first, any or intensification of prescribing, and whether higher or lower prescribing was desirable).

hOne mark deducted due to high or unclear risk of bias across studies, including randomisation, allocation concealment and baseline characteristics of participants.

iOne mark deducted due to high or unclear risk of bias across studies, including blinding of outcome assessment and differences in baseline characteristics and outcome measurements. One mark deducted due to heterogeneity in outcome measures, timing of outcome measure and reporting of the outcome.

jTotal number of patient participants reported in nine out of 10 studies only.

kOne mark deducted due to most studies having high or unclear risk of bias across multiple domains. One mark deducted due to heterogeneity in outcome measures, timing of outcome measure and reporting of the outcome.

lOne mark deducted due to imprecision as only one study was identified.

CI: confidence interval; COPD: chronic obstructive pulmonary disease; HCP: healthcare professional; HRQoL: health‐related quality of life; MCID: minimal clinically important difference; MD: mean difference; SGRQ: St George's Respiratory Questionnaire

Figuras y tablas -
Summary of findings 1. Educational interventions for health professionals managing chronic obstructive pulmonary disease in primary care
Table 1. Study design, study arms, setting and health professional targeted

Study ID

Study design

Number of study arms

Country

Unit of allocation

Health professional targeted

Bachmann 2019

cRCT

2

Brazil

Clinic

Doctors and nurses

Boulet 2013

RCT

4 (2*)

Canada

Physician

Primary care providers

Bunker 2009

RCT

2

Australia

Patient

GPs and practice nurses

Coultas 2005

RCT

3

USA

Patient

Nurses

Cvetkovski 2020

RCT (parallel cross‐over)

2

Australia

Physician

GPs

Due 2014

RCT (stepped‐wedge)

2

Denmark

Practice

GPs

Fairall 2005

cRCT

2

South Africa

Practice

Nurse practitioners

Fairall 2016

cRCT

2

South Africa

Clinic

Nurses

Freund 2016

cRCT

2

Germany

Practice

Medical assistants

Gruffydd‐Jones 2013

RCT

2

Europe (Austria, France, Germany, Ireland, UK)

Physician

Primary care physicians

Hilberink 2011

RCT

3

Netherlands

Practice

GPs

Hurlimann 2015

cRCT

2

Switzerland

Physician

Primary care physicians

Khan 2019

cRCT

2

Pakistan

Facility

Doctors and allied staff

Kruis 2014

cRCT

2

Netherlands

Practice

GPs, practice nurses, specialised physios

Latzke‐Davis 2011

RCT

2

USA

Practice

Physicians, medical assistants, registered nurses

Liang 2019

cRCT

2

Australia

Practice

Physicians

Lou 2015

RCT

2

China

Centre

GPs

Lusuardi 2006

RCT

2

Italy

Patient

GPs

Markun 2018

cRCT

2

Switzerland

GP

GPs and practice assistants

Martens 2006

RCT

2

Netherlands

Physician

GPs

Morganroth 2016

RCT

2

USA

Clinic

Physicians

Naidoo 2014

cRCT

2

South Africa

Clinic

Nurses

Poels 2008

cRCT

2

Netherlands

GP

GPs

Salisbury 2018

cRCT

2

UK

Practice

Clinicians and receptionists

Sandelowsky 2018

cRCT

3 (2*)

Sweden

Centre

GPs

Shelesky 2012

RCT

2

USA

Intern

Interns

Shrestha 2006

cRCT

2

Nepal

Facility

Health workers

Smidth 2013

cRCT

2

Denmark

Practice

GPs

Soler 2010

RCT

3

Spain

GP

GPs

Terry 1981

cRCT

5

USA

Geographic clusters

GPs

Thoonsen 2015

cRCT

2

Netherlands

GP

GPs

Tinelli 2003

cRCT

2

Italy

GP

GPs

Torres‐Robles 2021

cRCT

2

Spain

Pharmacy

Pharmacists

Uzzaman 2020

RCT

2

Bangladesh

GP

GPs

Walters 2008

cRCT

2

Australia

Practice

GPs

Walters 2013

cRCT

2

Australia

Practice

Nurses

Weinberger 2002

RCT

3

USA

Pharmacy

Pharmacists

Zwar 2016

cRCT

2

Australia

Practice

GPs and practice nurses

* indicates number of arms with data eligible for this review

cRCT: cluster‐randomised controlled trial, GP: general practitioner, RCT: randomised controlled trial

Figuras y tablas -
Table 1. Study design, study arms, setting and health professional targeted
Table 2. Elements of intervention delivered to health professionals

Study ID

Education

Tools, toolkit or algorithm

Guidelines

Spirometry training

Feedback/mentorship/ongoing support

Bachmann 2019

Boulet 2013

Bunker 2009

Coultas 2005

Cvetkovski 2020

Due 2014

Fairall 2005

Fairall 2016

Freund 2016

Gruffydd‐Jones 2013

Hilberink 2011

Hurlimann 2015

Khan 2019

Kruis 2014

Latzke‐Davis 2011

Liang 2019

Lou 2015

Lusuardi 2006

Markun 2018

Martens 2006

Morganroth 2016

Naidoo 2014

Poels 2008

Salisbury 2018

Sandelowsky 2018

Shelesky 2012

Shrestha 2006

Smidth 2013

Soler 2010

Terry 1981

Thoonsen 2015

Tinelli 2003

Torres‐Robles 2021

Uzzaman 2020

Walters 2008

Walters 2013

Weinberger 2002

Zwar 2016

*

*

Figuras y tablas -
Table 2. Elements of intervention delivered to health professionals
Table 3. Studies reporting proportion of patients with COPD prescribed respiratory medication consistent with recommended guidelines (Primary Outcome #3)

Study ID

Definition(s) of outcome measure

Result(s)

(intervention vs control unless specified)

Bachmann 2019

Four definitions used:

1. For participants with COPD, the composite score comprised points awarded for (a) a first prescription of SABA, ICS or ICS + LABA; or a change in prescription, stepping up from SABA to LABA or from LABA to ICS + LABA, or stepping down from LABA + ICS to LABA, or from LABA to SABA (scoring one point if at least one of these occurred) over 12 months

2. First prescription of an ICS

3. First prescription of SABA

4. First prescription of LABA + ICS

Participants (%)

  1. 147 (10.7%) vs 120 (10.2%), P = 0.699, ICC 0.013

  2. 65 (4.7%) vs 61 (5.2%), P = 0.513, ICC = 0.006

  3. 62 (4.5%) vs 51 (4.3%), P = 0.880, ICC = 0.005

  4. 83 (6.1%) vs 63 (5.3%), P = 0.456, ICC = 0.018

Fairall 2005

Two definitions used:

1. Prescriptions filled out for ICS after 3 months (higher = better)

2. Prescription for antibiotics after 3 months

Participants (%)

  1. 137/1000 (13.7%) vs 77/999 (7.7%), P = 0.006

  2. 397/1000 (39.7%) vs 394/999 (39.4%), P = 0.95

Fairall 2016

Treatment intensification over 14 months: 1) the addition or increase in dose of an ICS and/or 2) addition of a beta‐agonist and/or 3) addition of ipratropium bromide and/or 4) addition of theophylline

RR 1.08 (95% CI 0.75 to 1.55), P = 0.674, ICC = 0.011, n = 586 intervention vs n = 571 control

Hurlimann 2015

Two definitions used:

1. Percentage prescriptions of penicillins over total number of patients treated with antibiotics for respiratory tract infections over 2 years

2. Percentage of quinolones over total number of patients treated with antibiotics for COPD exacerbations over 2 years

Participants (%)

  1. 12,213 patients (56.7%) vs 10,460 patients (48.5%), P = 0.01, ICC 0.27

  2. 522 patients (4.8%) vs 450 (4.7%), P = 0.96, ICC 0.50

Lou 2015

Four definitions used:

1. Frequency of LABA use after 4 years

2. Frequency of ICS use after 4 years

3. Frequency of OCS use after 4 years

4. Frequency of theophylline use after 4 years

Percentage of total participants (3418 vs 2803)

  1. 16.4% vs 2.3%

  2. 32.5% vs 10.6%

  3. 40.7% vs 20.7%

  4. 45.0% vs 34.8%

Markun 2018

Appropriate pharmacological treatment of COPD at 1 year

Non‐significant difference between groups (OR visually presented), 69 intervention and 92 control patients analysed

Martens 2006

Two definitions used:

1. Change in prescriptions for SABA for COPD per GP per year standardised per 1000 enlisted patients at 12 months and 24 months

2. Change in prescriptions for ICS for COPD per GP per year standardised per 1000 enlisted patients at 12 months and 24 months (reduction = better)

  1. Change at 12 months (CI): ‐2 (‐6 to 3) n = 53 vs 0 (‐3 to 4) n = 54; Change at 24 months: ‐3 (‐8 to 2) vs ‐6 (‐10 to ‐2)

  2. Change at 12 months (CI): ‐5 (‐8 to ‐1) n = 53 vs ‐3 (‐6 to 1) n = 54; Change at 24 months: ‐15 (‐20 to ‐10) vs ‐10 (‐15 to ‐6)

Morganroth 2016

Five definitions used:

1. Prescription of bronchodilator at 12 months

2. Prescription of ICS/tiotropium at 12 months

3. Prescription of LABA + ICS at 12 months

4. Prescription of LABA/ICS + TIO at 12 months

5. Prescription of tiotropium at 12 months

Participants (%)

  1. 113 (100%) vs 118 (94%)

  2. 3 (3%) vs 0 (0%)

  3. 43 (37%) vs 28 (22%)

  4. 39 (33%) vs 49 (39%)

  5. 7 (6%) vs 17 (14%)

Poels 2008

Indicators of GP decision‐making process: probability of medication and non‐medication changes. Medication change included: stopping or lowering treatment with inhaled corticosteroids or bronchodilators; the commencement of bronchodilator, inhaled or oral corticosteroid treatment; or combination drug treatment. Non‐medication included giving smoking cessation advice.

76.2% vs 69.1%, OR (CI) 1.44 (0.80 to 2.59)

Shrestha 2006

Number of prescriptions for COPD post intervention (lower better as indicates more rational prescribing)

15 prescriptions vs 29 prescriptions

Soler 2010

Treatment regimens in patients classified moderate to severe COPD, expressed as percentage of total. Eight definitions used:

1. Anticholinergic + SABA

2. LABA + corticoid

3. SABA

4. LABA

5. Anticholinergic agents

6. Theophylline

7. ICS

8. Antibiotics

G3 vs G2 vs G1

1. 9.4 vs 6.0 vs 6.6

2. 51.2 vs 52.3 vs 50.0

3. 56.0 vs 52.3 vs 50.7

4. 20.2 vs 22.9 vs 27.9

5. 87.8 vs 86.9 vs 82.4

6. 21.8 vs 24.6 vs 28.7

7. 22.8 vs 24.6 vs 25.7

8. 14.2 vs 11.1 vs 19.9

Tinelli 2003

Number of drugs prescribed by the GP for COPD during the 1‐year follow‐up (lower better as indicates rational prescribing as per guidelines)

Mean (SD) 3.63 (2.96) vs 4.12 (3.10)

CI: confidence interval; COPD: chronic obstructive pulmonary disease; ICC: intra‐class correlation coefficient; ICS: inhaled corticosteroid; LABA: long acting beta agonist; OCS: oral corticosteroid; OR: odds ratio; RR: risk ratio; SABA: short‐acting beta agonist; SD: standard deviation; TIO: tiotropium

Figuras y tablas -
Table 3. Studies reporting proportion of patients with COPD prescribed respiratory medication consistent with recommended guidelines (Primary Outcome #3)
Table 4. Studies reporting health‐related quality of life (HRQoL) of patients with COPD

Study ID

HRQoL measure used

Results (intervention vs usual care), mean (SD) unless specified

Coultas 2005

SGRQ, change in total score from baseline

SF‐36, change in physical functioning and mental health domains

MM Group vs UC Group at 6 months (n = 49 vs 51):

SGRQ: 3.4 (14.9) vs 6.3 (15.5), MD ‐2.9 (95% CI ‐9.8 to 4.1)

SF‐36‐physical: ‐2.1 (20.2) vs ‐1.2 (21.7)

SF‐36‐ mental: ‐2.2 (18.6) vs ‐0.6 (17.7)

CM Group vs UC Group at 6 months (n = 51 vs 51):

SGRQ: 3.7 (13.6) vs 6.3 (15.5), MD ‐2.6 (95% CI ‐9.5 to 4.3)

SF‐36‐physical: 1.6 (14) vs ‐1.2 (21.7)

SF‐36‐ mental: ‐1.4 (20) vs ‐0.6 (17.7)

Fairall 2016

SGRQ, proportion with score ≥ median score (dichotomous)

14 months: 36/256 vs 34/273

Freund 2016

SF‐12

EQ‐5D, physical component and mental component

12 months:

SF‐12‐physical (n = 801 vs 776): 36.5 (9.7) vs 35.9 (9.7), P = 0.162

SF‐12‐mental (n = 801 vs 776): 48.8 (10.9) vs 46.9 (11.1), P = 0.019

EQ‐5D (n = 918 vs 878): 0.64 (0.22) vs 0.61 (0.23), P = 0.085

24 months:

SF‐12‐physical (n = 553 vs 590): 36.5 (10.6) vs 35.5 (10.2), P = 0.013

SF‐12‐mental (n = 553 vs 590): 48.9 (10.8) vs 46.9 (11.6), P = 0.002

EQ‐5D (n = 779 vs 806): 0.65 (0.22) vs 0.61 (0.23), P = 0.016

Kruis 2014

SGRQ, change in total score

SF‐36, change in physical component and mental component

CCQ, change in total score

EQ‐5D‐3L and VAS change in total score (/100)

12 months (n = 554 vs 532): reported as MD and 95% CI

SGRQ: ‐0.40 (95% CI ‐1.46 to 0.65) vs 0.33 (95% CI ‐0.78 to 1.43)

SF‐36‐physical: ‐1.1 (95% CI‐1.82 to ‐0.38) vs (‐0.48 (‐1.23 to 0.26)

SF‐36‐mental: ‐.73 (‐0.07 to 1.54) vs 0.09 (‐0.74 to 0.92)

CCQ: ‐0.03 (‐0.09 to 0.03) vs 0.03 (‐0.03 to 0.09)

EQ‐5D‐3L: ‐0.04 (‐0.06 to ‐0.02) vs ‐0.01 (‐0.03 to 0.01)

EQ‐5D VAS: ‐1.71 (‐2.95 to 0.46) vs ‐1.92 (‐3.21 to ‐0.63)

Liang 2019

SGRQ, change in total score from baseline

CAT, change in total score from baseline

6 months (n = 118 vs 94): reported as MD and 95% CI

SGRQ: 3.07 (0.73 to 5.42) vs 1.54 (‐1.06 to 4.14), 2.45 (‐0.89 to 5.79)

CAT: 2.06 (0.87 to 3.26) vs 1.50 (0.56 to 2.44)

12 months (n = 113 vs 77):

SGRQ: 4.69 (1.96 to 7.41) vs 3.35 (0.57 to 6.14), MD 2.21 (‐2.86 to 7.28)

CAT: 3.05 (1.80 to 4.31) vs 2.62 (1.58 to 3.67)

Markun 2018

CAT, mean change in total score from baseline

12 months (n = 69 vs 92): ‐1.2 vs 1.1

Salisbury 2018

EQ‐5D‐5L, total score

15 months (n = 797 vs 749): mean 0.533 (SE 0.012) vs 0.504 (SE 0.012)

Sandelowsky 2018

CCQ (10 items), change in total score from baseline

CAT, change in total score from baseline

18 months (n = 209 vs 216):

CCQ: mean 1.97 (95% CI 1.81 to 2.14) vs 1.97 (1.81 to 2.13)

CAT: mean 16.2 (95% CI 15.1 to 17.4) vs mean 16.3 (95% CI 15.2 to 17.5)

Tinelli 2003

SF‐36, physical functioning and mental health domains

12 months (n = 51 vs n = 33): mean total scores

SF‐36‐physical: 57.4 vs 53.6

SF‐36‐mental: 63.8 vs 57.8

Walters 2013

SGRQ, total score

SF‐36, total score physical functioning and mental health domains

6 months (n = 74 vs 83):

SGRQ: 39.8 (20.5) vs 41.7 (17.8)

SF‐36‐physical: 46.0 (7.5) vs 44.9 (8.7)

SF‐36‐mental: 48.6 (10.9) vs 48.2 (10.9)

12 months (n = 74 vs 80):

SGRQ: 41.9 (18.9) vs 40.5 (17.4)

SF‐36‐physical: 44.2 (8.4) vs 45.5 (7.9)

SF‐36‐mental: 50.1 (9.9) vs 49.2 (10.2)

Weinberger 2002

Disease‐specific HRQoL using COPD‐specific measures (7‐point Likert format, score 7 = best)

Pharmaceutical care programme vs PFM control vs usual care control

6 months (n = 146 vs 111 vs 119): 4.5 (1.0) vs 4.3 (1.0) vs 4.1 (1.2)

12 months (n = 149 vs 105 vs 111): 4.4 (1.1) vs 4.3 (1.0) vs 4.2 (1.2)

Zwar 2016

SGRQ

CAT

12 months (n = 126 vs 96):

SGRQ: 16.85 (15.2) vs 17.06 (14.9), MD ‐0.21 (95% CI ‐2.55 to 2.14), P = 0.86

CAT: 9.80 (6.78) vs 9.27 (6.78), P = 0.73

Abbreviations: CAT: COPD Assessment Tool; CI: confidence interval; CCQ: Clinical COPD Questionnaire; HRQoL: health‐related quality of life; MD: mean difference; PFM: peak flow meter; SD: standard deviation; SE: standard error; SF‐36: short‐form health survey, SGRQ: St George's Respiratory Questionnaire; VAS: visual analogue scale.

Figuras y tablas -
Table 4. Studies reporting health‐related quality of life (HRQoL) of patients with COPD
Table 5. Studies reporting a measure of frequency of COPD exacerbations

Study ID

Outcome measure

Results (intervention vs usual care)

Coultas 2005

Mean (SD) change in self‐reported healthcare utilisation for lung disease in past 6 months

n = 49 vs n = 51

Doctor visits: ‐1 (1.9) vs ‐0.04 (3.2)

ED visits: 0 (0.4) vs ‐0.02 (0.3)

Hospital visits: ‐0.04 (0.7) vs 0.04 (0.4)

Freund 2016

Mean (SD) COPD‐related hospitalisations, and mean (SD) hospital days at 12 and 24 months

12 months (n = 321 vs 222):

Hospitalisations: 0.03 (0.22) vs 0.11 (0.56), P = 0.011

Hospital days: 0.14 (1.62) vs 0.61 (4.20), P = 0.185

24 months (n = 321 vs 222):

Hospitalisations: 0.14 (0.61) vs 0.26 (1.09), P = 0.086

Hospital days: 0.73 (3.97) vs 1.55 (8.09), P = 0.30

Kruis 2014

Mean (SD) moderate exacerbation rate at 12 months

Mean (SD) severe exacerbation rate at 3 months

Mean (SD) hospital admission days at 3 months

n = 554 vs 532

Moderate: 0.4 (0.8) vs 0.3 (0.8)

Severe: 0.02 (0.2) vs 0.02 (0.2)

Admissions: 6 (2.1) vs 8.6 (4.7)

Markun 2018

Assessment of exacerbation frequency at 12 months

Non‐significant, reported visually, n = 161

Sandelowsky 2018

Percentage of patients with one or more exacerbations in past 6 months, measured at 18 months

34.7% (n = 209) vs 34.1% (n = 216), P = 0.93

Thoonsen 2015

Odds ratio (95% CI) for patients who utilised out‐of‐hours GP services in last 3 months

Odds ratio (95% CI) for patients who were hospitalised in last 3 months

Out‐of‐hours service: 0.4828 (‐0.733 to 1.698), P = 0.4307

Hospitalised: 0.797 (0.464 to 1.372), P = 0.4078

Tinelli 2003

Number of episodes of exacerbations in 12 months, categorised as none, low (1 to 2) and high (3+)

Number of admissions to hospital because of COPD in 12 months, categorised as none, low (1 to 2) and high (3+)

n = 72 vs n = 51

Exacerbations: none: 30.6% vs 39.2%; low: 48.6% vs 43.1%; high: 20.8% vs 17.6%

Admissions: none: 70.8% vs 66.7%; low: 19.4% vs 23.5%; high: 9.7% vs 9.8%

Walters 2013

Number of patients with hospital admissions for COPD in 12 months

12.2% (n = 90) vs 5.4% (n = 92)

Weinberger 2002

Percentage of patients with breathing‐related ED or hospital visits in 12 months

22.9% (n = 149) vs 23.2% (n = 111)

Zwar 2016

Proportion of patients reporting use of health services for lung condition in past 12 months

17/126 vs 11/96, P = 0.67

ED: emergency department

Figuras y tablas -
Table 5. Studies reporting a measure of frequency of COPD exacerbations
Table 6. Studies reporting adherence to medications (including correct inhaler technique)

Study ID

Outcome measure

Results (intervention vs usual care)

Markun 2018

Morisky Medication Adherence Scale ‐ 8‐item

Mean (95% CI) at 15 months:

11.0 (8.0 to 15.0) vs 11.0 (8.0 to 15.0), P = 0.46

Torres‐Robles 2021

Morisky‐GreenLevine Medication Adherence Questionnaire, reported as mean percentage/100

Mean percentage (95% CI) at 6 months for COPD patients only (n = 145 vs 154): 92.9% (87.0 to 962) vs 72.5 (62.3 to 80.7), P = 0.0001

Walters 2013

Adherence to treatment as part of a larger questionnaire of self‐management capacity, scored 0 to 8 (8 = better adherence)

Mean (SD) at 12 months:

7.7 (0.8) vs 7.6 (1.3)

Weinberger 2002

Compliance with breathing medications, percentage of patients not compliant (includes both asthma and COPD patients)

12 months: 22.5% vs 23.3%

Zwar 2016

Correct inhaler technique, number of patients

12 months: 45/126 vs 42/96, P = 0.25

CI: confidence interval; COPD: chronic obstructive pulmonary disease; SD: standard deviation

Figuras y tablas -
Table 6. Studies reporting adherence to medications (including correct inhaler technique)
Comparison 1. Health‐related quality of life (HRQoL): intervention versus usual care

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1.1 HRQoL using St George's Respiratory Questionnaire (SGRQ) Show forest plot

5

Mean Difference (IV, Random, 95% CI)

Subtotals only

1.1.1 At 6 months

2

406

Mean Difference (IV, Random, 95% CI)

0.87 [‐2.51, 4.26]

1.1.2 At 12 months

4

1646

Mean Difference (IV, Random, 95% CI)

‐0.43 [‐1.52, 0.67]

Figuras y tablas -
Comparison 1. Health‐related quality of life (HRQoL): intervention versus usual care