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Computer‐ und Mobiltechnologie‐Interventionen für das Selbstmanagement bei chronisch obstruktiver Lungenerkrankung

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Referencias

References to studies included in this review

Moy 2015 {published data only}

Martinez CH, Moy ML, Nguyen HQ, Cohen M, Kadri R, Roman P, et al. Taking Healthy Steps: rationale, design and baseline characteristics of a randomized trial of a pedometer‐based Internet‐mediated walking program in veterans with chronic obstructive pulmonary disease. BMC Pulmonary Medicine 2014;14(12):DOI: 101186/1471‐2466‐14‐12. CENTRAL
Moy ML, Collins RJ, Martinez CH, Kadri R, Roman P, Holleman RG, et al. An internet‐mediated pedometer‐based program improves health‐related quality‐of‐life domains and daily step counts in COPD: a randomized controlled trial. Chest 2015;148(1):128‐37. CENTRAL
Moy Ml, Martinez CH, Kadri R, Roma P, Holleman RG, Kim HM, et al. Long‐term effects of an Internet‐mediated pedometer‐based walking program for chronic obstructive pulmonary disease: randomized controlled trial. Journal of Medical Internet Research 2016;18(8):1. CENTRAL

Tabak 2013 {published data only}

Tabak M, Vollenbroek‐Hutten MR, van der Valk P, van der Palen J, Hermens H. A telerehabilitation intervention for patients with chronic obstructive pulmonary disease: a randomized controlled pilot trial. Clinical Rehabilitation 2014;28(6):582‐91. CENTRAL

Voncken‐Brewster 2015 {published data only}

Voncken‐Brewster V, Tange H, de Vries H, Nagykaldi Z, Winkens B, van der Weijden T. A randomised controlled trial testing a web‐based computer‐tailored self‐management intervention for people with or at risk for chronic obstructive pulmonary disease a study protocol. BMC Public Health 2013;7(13):557. CENTRAL
Voncken‐Brewster V, Tange H, de Vries H, Nagykaldi Z, Winkens B, van der Weijden T. A randomized controlled trial evaluating the effectiveness of a web‐based, computer‐tailored self‐management intervention for people with or at risk for COPD. International Journal of COPD 2015;10:101‐107. CENTRAL

References to studies excluded from this review

Bourbeau 2002 {published data only}

Bourbeau J, Schwartzman K, Beaupre A, Begin R, Maltais F, et al. Integrating rehabilitative elements into a COPD self‐management program reduces exacerbations and health service utilization: a randomized clinical trial. American Journal of Respiratory and Critical Care Medicine 2002;161(Suppl 3):A254. CENTRAL

Farmer 2014 {published data only}

Farmer A, Toms C, Hardinge M, Williams V, Rutter H, Tarassenko L. Self‐management support using an Internet‐linked tablet computer (the EDGE platform)‐based intervention in chronic obstructive pulmonary disease: protocol for the EDGE‐COPD randomised controlled trial. BMJ Open 2014;4:e004437. CENTRAL

Liu 2008 {published data only}

Liu WT, Wang CH, Lin HC, Lin SM, Lee KY, Lo YL, et al. Efficacy of a cell phone‐based exercise programme for COPD. The European Respiratory Journal 2008;32(3):651‐9. CENTRAL

Liu 2013 {published data only}

Liu F, Cai H, Tang Q, Zou Y, Wang H, Xu Z, et al. Effects of an animated diagram and video‐based online breathing program for dyspnea in patients with stable COPD. Patient Preference and Adherence 2013;7:905‐13. CENTRAL

Nguyen 2005 {published data only}

Nguyen HQ, Carrieri‐Kohlman V, Rankin SH, Slaughter R, Stulbarg MS. Is Internet‐based support for dyspnea self‐management in patients with chronic obstructive pulmonary disease possible? Results of a pilot study. Heart Lung 2005;34(1):51‐62. CENTRAL

Nguyen 2008 {published data only}

Nguyen HQ, Donesky‐Cuenco D, Wolpin S, Reinke LF, Benditt JO, Paul SM, et al. Randomized controlled trial of an Internet‐based versus face to face dyspnoea self‐management program for patients with chronic obstructive pulmonary disease: pilot study. Journal of Medical Internet Research 2008;10(2):E9. CENTRAL

Nguyen 2009 {published data only}

Nguyen HQ. Pilot study of a cell phone‐based exercise persistence intervention post‐rehabilitation for COPD. International Journal of Chronic Obstructive Pulmonary Disease 2009;4:301‐13. CENTRAL

Nguyen 2013 {published data only}

Nguyen HQ, Donesky D, Reinke LF, Wolpin S, Chyall L, Benditt JO, et al. Internet‐based dyspnea self‐management support for patients with chronic obstructive pulmonary disease. Journal of Pain & Symptom Management 2013;46(1):43‐55. CENTRAL

Tabak 2014 {published data only}

Tabak M, Brusse‐Keizer M, van der Valk P, Hermens H, Vollenbroek‐Hutten M. A telehealth program for self‐management of COPD exacerbations and promotion of an active lifestyle: a pilot randomized controlled trial. International Journal of COPD 2014;9:935‐44. CENTRAL

van der Palen 1997 {published data only}

van der Palen J, Klein JJ, Kerkhoff AH, van Herwaarden CL, Seydel ER. Evaluation of the long‐term effectiveness of three instruction modes for inhaling medicines. Patient Education & Counseling 1997;32:87‐95. CENTRAL

Worth 2002 {published data only}

Worth H. Effects of patient education in asthma and COPD ‐ what is provable?. Medical Clinic 2002, (Suppl 2):20‐4. CENTRAL

References to ongoing studies

Talboom‐Kamp 2016 {published data only}

Talboom‐Kamp EPWA, Verdijk NA, Blom CMG, Harmans LM, Talboom IJSH, Numans ME, et al. e‐Vita: design of an innovative approach to COPD disease management in primary care through eHealth application. BMC Pulmonary Medicine 2016;16(1):122. CENTRAL

Annandale 2011

Annandale J, Lewis KE. Can telehealth help patients with COPD?. Nursing Times 2011;107(15‐6):12‐4.

Audulv 2013

Audulv Å. The over time development of chronic illness self‐management patterns: a longitudinal qualitative study. BMC Public Health 2013;13:452.

Belisario 2013

Belisario JM, Huckvale K, Greenfield G, Car J, Gunn LH. Smartphone and tablet self management apps for asthma. Cochrane Database of Systematic Reviews 2013, Issue 11. [DOI: 10.1002/14651858.CD010013.pub2]

Brenner 2015

Brenner SK, Kaushal R, Grinspan Z, Joyce C, Kim I, Allard RJ, et al. Effects of health information technology on patient outcomes: a systematic review. Journal of the American Medical Informatics Association 2013;13:1‐23.

Brunton 2015

Brunton L, Bower P, Sanders C. The contradictions of telehealth user experience in chronic obstructive pulmonary disease (COPD): a qualitative meta‐synthesis. PLoS One 2015;10(10):E0139561.

Cisco 2014

Cisco. Cisco visual networking index: global mobile data traffic forecast update, 2013–2018. http://www.cisco.com/c/en/us/solutions/collateral/service‐provider/visual‐networking‐index‐vni/white_paper_c11‐520862.html (accessed 4 December 2014).

Corroon 2014

Corroon AM, Hynes G. Nursing care of conditions related to the respiratory system. In: Brady AM, McCabe C, McCann M editor(s). Fundamentals of Medical Surgical Nursing: A Systems Approach. Chichester: Wiley‐Blackwell, 2014:176‐209.

Davis 2014

Davis MM, Freeman M, Kaye J, Vuckovic N, Buckley DI. A systematic review of clinician and staff views on the acceptability of incorporating remote monitoring technology into primary care. Telemedicine Journal and e‐health 2014;20(5):428‐38.

Evers 2006

Evers KE. EHealth promotion: the use of the internet for health promotion. American Journal of Health Promotion 2006;20(4):Suppl 1‐7 iii.

GOLD 2016

Global Initiative for Chronic Obstructive Lung Disease. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease, updated 2016. http://goldcopd.org/pocket‐guide‐copd‐diagnosis‐management‐prevention‐2016/ (accessed 10 July 2016).

Higgins 2011

Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1 [updated March 2011]. The Cochrane Collaboration, 2011. www.cochrane‐handbook.org.

Inglis 2010

Inglis SC, Clark RA, McAlister FA, Ball J, Lewinter C, Cullington D, et al. Structured telephone support or telemonitoring programmes for patients with chronic heart failure. Cochrane Database of Systematic Reviews 2010, Issue 8. [DOI: 10.1002/14651858.CD007228.pub2]

Kew 2016a

Kew KM, Cates CJ. Remote versus face‐to‐face check‐ups for asthma. Cochrane Database of Systematic Reviews 2016, Issue 4. [DOI: 10.1002/14651858.CD011715.pub2]

Kew 2016b

Kew KM, Cates CJ. Home telemonitoring and remote feedback between clinic visits for asthma. Cochrane Database of Systematic Reviews 2016, Issue 8. [DOI: 10.1002/14651858.CD011714.pub2]

Krebs 2010

Krebs P, Prochaska JO, Rossi J. A meta‐analysis of computer‐tailored interventions for health behavior change. Preventative Medicine 2010;51(3‐4):214‐21.

Lewis 2016

Lewis A, Torvinen S, Dekhuijzen P.N.R, Chrystyn H, A. T. Watson A.T, M. Blackney M, Plich A. The economic burden of asthma and chronic obstructive pulmonary disease and the impact of poor inhalation technique with commonly prescribed dry powder inhalers in three European countries. BMC Health Services Research 2016;https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913‐016‐1482‐7(DOI: 10.1186/s12913‐016‐1482‐7).

Lindberg 2013

Lindberg B, Nilsson C, Zotterman D, Soderberg S, Skar L. Using information and communication technology in home care for communication between patients, family members, and healthcare professionals: a systematic review. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3649237/ (accessed 4 December 2014). [DOI: 10.1155/2013/461829]

Lorig 2003

Lorig KR, Holman HR. Self‐management education: history, definition, outcomes, and mechanisms. Annals of Behavioral Medicine 2003;26(1):1‐7.

Lung Foundation Australia 2014

Lung Foundation Australia. The burden of COPD. http://lungfoundation.com.au/health‐professionals/clinical‐resources/copd/copd‐the‐statistics/ Vol. (accessed 13 October 2014).

Mantoani 2016

Mantoani LC, Rubio N, McKinstry B, MacNee W1, Rabinovich RA. Interventions to modify physical activity in patients with COPD: a systematic review. European Respiratory Journal 2016;48(1):69‐81.

Marcano 2013

Marcano Belisario JS, Huckvale K, Greenfield G, Car J, Gunn LH. Smartphone and tablet self management apps for asthma. Cochrane Database of Systematic Reviews 2013, Issue 11. [DOI: 10.1002/14651858.CD010013.pub2]

McCabe 2014

McCabe C, Dinsmore J, Brady AM, McKee G, O'Donnell S, Prendergast D. Using action research and peer perspectives to develop technology that facilitates behavioral change and self‐management in COPD. http://dx.doi.org/10.1155/2014/380919 (accessed 4 December 2012). [DOI: 10.1155/2014/380919]

McKinstry 2013

McKinstry B. The use of remote monitoring technologies in managing chronic obstructive pulmonary disease. QJM 2013;106(10):883‐5.

McLean 2012

McLean S, Nurmatov U, Liu JL, Pagliari C, Car J, Sheikh A. Telehealthcare for chronic obstructive pulmonary disease: Cochrane Review and meta‐analysis. British Journal of General Practice November 2012;62(604):e739–49.

Mindell 2011

Mindell J, Chaudhury M, Aresu M and Jarvis D (2011). Lung function in adults. Health Survey for England 2010 Vol 1, Chapter 3. Health and Social Care Information Centre. Lung function in adults. Health Survey for England 2010. Health and Social Care Information2011; Vol. 1, issue Chapter 3.

Noar 2007

Noar SM, Benac CN, Harris MS. Does tailoring matter? Meta‐analytic review of tailored print health behavior change interventions. Psychological Bulletin 2007;133:673‐93.

Oostenbrink 2004

Oostenbrink JB, Rutten‐van Molken MP. Resource use and risk factors in high‐cost exacerbations of COPD. Respiratory Medicine 2004;98:883‐91.

Review Manager 2012 [Computer program]

The Nordic Cochrane Centre, The Cochrane Collaboration. Review Manager (RevMan). Version 5.2. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2012.

Richards 2013

Richards J, Thorogood M, Hillsdon M, Foster C. Face‐to‐face versus remote and web 2.0 interventions for promoting physical activity. Cochrane Database of Systematic Reviews 2013, Issue 9. [DOI: 10.1002/14651858.CD010393.pub2]

Ryan 2010

Ryan V. Passport to COPD success. http://www.imt.ie/opinion/guests/2010/07/passport‐to‐copd‐success.html (accessed 29 May 2014).

Schulman‐Green 2012

Schulman‐Green D, Jaser S, Martin F, Alonzo A, Grey M, McCorkle R, et al. Processes of self‐management in chronic illness. Journal of Nursing Scholarship 2012;44(2):136‐44.

Seemungal 2000

Seemungal T, Donaldson G, Bhowmik A, Jefries D, Wedizicha J. Time course and recovery of exacerbations in patients with chronic obstructive pulmonary disease. American Journal of Respiratory and Critical Care Medicine 2000;161(5):1608‐13.

Smeets 2008

Smeets T, Brug J, de Vries H. Effects of tailoring health messages on physical activity. Health Education Research 2006;23(3):402‐13.

Smit 2012

Smit ES, de Vries H, Hoving C. Effectiveness of a web‐based multiple tailored smoking cessation program: a randomized controlled trial among Dutch adult smokers. Journal of Medical Internet Research 2012;14(3):e82.

Sterne 2011

Sterne JAC, Egger M, Moher D, on behalf of the Cochrane Bias Methods Group (editors). Chapter 10: Addressing reporting biases. In: Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1 [updated March 2011]. The Cochrane Collaboration, 2011. www.cochrane‐handbook.org.

Wempe 2004

Wempe JB, Wijkstra PJ. The influence of rehabilitation on behaviour modification in COPD. Patient Education and Counseling 2004;52(3):237‐41.

WHO 2013

World Health Organization. Burden of COPD. http://www.who.int/respiratory/copd/burden/en/ Vol. (accessed 13 October 2014).

Wootton 2012

Wootton R. Twenty years of telemedicine in chronic disease management – an evidence synthesis. Journal of Telemedicine and Telecare 2012;18(4):211‐20.

Zwerink 2014

Zwerink M, Brusse‐Keizer M, van der Valk PD, Zielhuis GA, Monninkhof EM, van der Palen J, et al. Self management for patients with chronic obstructive pulmonary disease. Cochrane Database of Systematic Reviews 2014, Issue 3. [DOI: 10.1002/14651858.CD002990.pub3]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Moy 2015

Methods

Location: United States and Puerto Rico

Design: randomised controlled trial

Unit of allocation: individual

Start date: December 2011

End date: January 2013

Duration of intervention: 12 months

Time points measured: baseline, 4 months, and 12 months (only baseline and 4 months reported in this article. Moy 2016 reports 12‐month data)

Participants

Population description: Participants were identified from the Veterans Association (VA) national database of patients with COPD who received care within the year before enrolment from a primary care provider, cardiologist, or pulmonologist within the VA healthcare system. All participants were over 40 years of age and had access to a computer with Internet access, used email regularly, were able to walk 1 block, and had received medical clearance from a doctor

Setting: own home

Method of recruitment: a random subset of 29,000 veterans (half urban and half rural) sent an email invitation

Total number randomised: 238 participants were randomised in a 2:1 ratio to intervention (n = 154) or control (n = 84) groups

Participants: 238, 223 were male with only 15 female participants. This is unusual but was not unexpected given that the target population consisted of veterans

Age: average age, 67 years

Interventions

The intervention comprised online and wearable technology. Participants were instructed to wear a pedometer daily and to upload step‐count data regularly. Each participant had a weekly goal that was based on:

• average of most recent 7‐day step counts + additional 600 steps;

• previous goal + 600 steps; or

• 10,000 steps/d

Participants had Web access to step‐count feedback, allowing self‐monitoring; weekly goal setting, educational/motivational content and an online community forum. Valid wear days were those on which at least 100 steps and 8 hours of step counts were recorded

Outcomes

Self‐reported health‐related quality of life (SGRQ) and daily step counts (pedometer) were reported at 4 months and at 12 months. Hospitalisations and acute exacerbations were reported at 12 months only

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Interested participants completed an online questionnaire that assessed inclusion criteria, after which a computer algorithm determined eligibility and participants were randomized in a 2:1 ratio to intervention or control groups (p 129)

Allocation concealment (selection bias)

Low risk

Allocation was done by computer, and both groups received a pedometer; therefore, group allocation was unclear to all participants (p 135)

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding was not possible; therefore, although limited as all study activity was online, participants may have been influenced by prior beliefs about whether or note the intervention is likely to work. Group allocation was revealed online (p 130). Also, participants were required to upload step‐count data weekly, which may have introduced bias

Blinding of outcome assessment (detection bias)
All outcomes

High risk

No blinding of outcome assessment; therefore, participants may have given what was perceived as the 'right' response. However, this may have been limited by lack of direct contact with researchers and other participants, as questionnaires were completed by participants online (p 129)

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Reasons for missing outcome data not reported (p 130)

Selective reporting (reporting bias)

Low risk

Both groups reported but third time point measured at 12 months not reported; email correspondence with study authors indicates that paper reporting results at 12 months has been prepared for publication

Other bias

Low risk

Study appears to be free from other sources of bias

Tabak 2013

Methods

Location: Twente, Netherlands

Design: randomised controlled trial

Unit of allocation: individual

Start date: October 2010

End date: April 2011

Duration of intervention: 4 weeks

Time points measured: baseline, end of week 1, follow‐up measurement end of weeks 2, 3, 4

Participants

Population description: participants with a clinical diagnosis of COPD and no infection/exacerbation for 4 weeks before measurement. All were current/former smokers, had Internet access, and could read/speak Dutch. Participants were excluded if they had impaired hand function causing inability to use the application or any illness that influenced daily activities, other respiratory diseases, needed regular oxygen therapy, and received training with a physiotherapist during the 6 weeks before starting the study

Setting: own home

Method of recruitment: recruited by chest physician or nurse practitioner

Participants: 30 (14 to intervention group and 16 to control group)

Age: average 66 years

Interventions

Intervention is an app comprising 2 modules

• Activity coach

• Web portal for recording symptoms and activity levels

Daily completion of the diary on the Web portal triggered a decision support system in cases of exacerbation. The activity coach consisted of a 3‐D accelerometer and smart phone with bluetooth. Both were worn by the participant

Outcomes

Self‐reported health status using the CCQ and mean activity level (pedometer)

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Eligible participants were randomly assigned to intervention or control group according to a computer‐generated randomisation list (programme: Block Stratified Randomization V5: Steven Piantadosi) whereby blocked randomisation was applied in blocks of 4, stratified for gender (p 3)

Allocation concealment (selection bias)

Low risk

Participants and investigators enrolling participants could not foresee assignment because allocation to groups was conducted by a different person from the one who conducted the randomisation, recruited participants, and collected data (p 3)

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding was not possible; therefore, although potentially limited as all study activity was online, participants may have been influenced by prior beliefs about whether or not the intervention is likely to work. Allocation procedure not described (p 3)

Blinding of outcome assessment (detection bias)
All outcomes

High risk

No blinding of outcome assessment occurred; therefore, participants may have given what was perceived as the 'right' response (p 3)

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All data accounted for in Figure 1 (p 5). One participant in the intervention group was lost to follow‐up owing to technical problems. No participants were lost from the control group

Selective reporting (reporting bias)

Low risk

Data on all outcomes, at all collection points, between groups, and within groups were reported (Tables 2, 3, 4) (p 6)

Other bias

Low risk

Study appears to be free from other sources of bias

Voncken‐Brewster 2015

Methods

Location: Maastricht, Netherlands

Design: randomised controlled trial

Unit of allocation: individual

Start date: May 2012

End date: July 2013

Duration of intervention: 6 months

Time points measured: baseline and 6 months

Participants

Population description: Participants from 5 general practices and from a Dutch online panel were recruited. Participants who had a diagnosis of COPD or were at moderate/high risk of COPD were eligible to participate. They were also required to have access to the Internet at home, to be between 40 and 70 years of age, and to speak Dutch proficiently

Setting: own home

Method of recruitment: some recruited by email (Dutch online panel) and some by postal mail (6 general practices)

Participants: 1325 (662 participants in the intervention group and 663 in the control group). 627 were men and 698 were women. Those with a diagnosis of COPD totalled 284, with 146 in the experimental group and 138 in the control group

Age: average age 58 years

Interventions

The intervention is an app called 'MasterYourBreath', which was designed to change health behaviour through a Web‐based app providing computer‐generated individualised feedback. It included 2 behaviour change modules ‐ smoking cessation and physical activity ‐ with 6 intervention components: health risk appraisal, motivational beliefs, social influence, goal setting and action plans, self‐efficacy, and maintenance. Participants could switch modules and choose to enter 1 or more of the 6 intervention components per module intervention components if they wished. Participants accessed the app through a personalised account and used it ad libitum for 6 months

Outcomes

Primary: smoking cessation and physical activity

Secondary: health status measured using the CCQ, intention to change behaviour, and secondary smoking cessation measures

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

A permuted block design with a random block size varying from 4 to 20 was used to randomise participants, who were stratified by channel of recruitment (p 1063)

Allocation concealment (selection bias)

Unclear risk

A researcher who was not involved in data collection or analysis performed randomisation and allocation revealed online for the main group; it is not clear how allocation was revealed for the practice group. It was not feasible to blind participants to group assignments owing to the study design (p 1063)

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Blinding was not feasible; participants may have been influenced by prior beliefs about whether or not the intervention is likely to work (p 1064)

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Outcome assessment was conducted by a self‐administered Web‐based questionnaire at baseline and at 6 months for all participants. No blinding of outcome assessment occurred; therefore, participants may have given what was perceived as the 'right' response

Incomplete outcome data (attrition bias)
All outcomes

High risk

All incomplete and complete data are reported (p 1067 and Table 2)

Selective reporting (reporting bias)

Low risk

Data on all outcomes, all collection points, between and within groups are reported in Table 4. Findings of subgroup analysis on participants with a diagnosis of COPD were also reported but were not presented. Researchers provided raw data for this subgroup for inclusion in the meta‐analysis for this review

Other bias

Low risk

Other sources of bias are not evident

CCQ = Clinical COPD Questionnaire

SGRQ = St George’s Respiratory Questionnaire

COPD = chronic obstructive pulmonary disease

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Bourbeau 2002

Intervention is not smart technology

Farmer 2014

Not self‐management

Liu 2008

Not self‐managment

Liu 2013

Not self‐management

Nguyen 2005

Not self‐management

Nguyen 2008

Not self‐management

Nguyen 2009

Not self‐management

Nguyen 2013

Not self‐management

Tabak 2014

Smart technology with monitoring

van der Palen 1997

Not self‐management

Worth 2002

Not a randomised controlled trial (RCT)

Characteristics of ongoing studies [ordered by study ID]

Talboom‐Kamp 2016

Trial name or title

e‐Vita: design of an innovative approach to COPD disease management in primary care through eHealth application

Methods

Prospective parallel cohort design using an interrupted time series (ITS) approach

Participants

Patients with chronic obstructive pulmonary disease (COPD) from general practices are eligible. Also, patients are eligible when they receive a diagnosis of COPD according to GOLD (Global Initiative for Chronic Obstructive Lung Disease) criteria (post‐bronchodilator forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC). Patients are excluded if they are unable to fill in questionnaires, have no access to the Internet, have a terminal illness, are immobile, or have severe substance abuse problems

Interventions

Web portal (e‐Vita) that provides continuous education and contact with healthcare professionals for people with COPD

Outcomes

Primary outcome is clinical and is expressed as health status, measured by the Clinical COPD Questionnaire (CCQ)

Secondary outcomes include disability associated with breathlessness. This is measured using the Medical Research Council (MRC) breathlessness scale; quality of life (QoL) will be assessed using EuroQol‐5D (EQ‐5D)

Adoption of the portal: Usage of the portal is monitored continuously by log files. User satisfaction is measured by purpose‐designed questionnaires

Direct costs of the intervention and COPD care: Self‐efficacy is measured using the Generalized Self‐Efficacy Scale (GSES)

Starting date

Not reported

Contact information

[email protected]; 1 Public Health and Primary Care Department, LUMC, P.O. Box 9600, 2300 RC Leiden, The Netherlands, 2 SALTRO Diagnostic Centre, Mississippidreef 83, 3565 CE Utrecht, The Netherlands

Notes

Eligibility for our review is unclear from the protocol; will review findings paper

Data and analyses

Open in table viewer
Comparison 1. Smart technology versus face‐to‐face/digital and/or written support

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Health‐related quality of life (CCQ and SGRQ) up to 6 months Show forest plot

3

472

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

‐0.22 [‐0.40, ‐0.03]

Analysis 1.1

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 1 Health‐related quality of life (CCQ and SGRQ) up to 6 months.

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 1 Health‐related quality of life (CCQ and SGRQ) up to 6 months.

2 Health‐related quality of life (CCQ only) up to 6 months Show forest plot

2

251

Mean Difference (IV, Random, 95% CI)

‐0.28 [‐0.44, ‐0.12]

Analysis 1.2

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 2 Health‐related quality of life (CCQ only) up to 6 months.

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 2 Health‐related quality of life (CCQ only) up to 6 months.

3 Daily step count up to 4 months Show forest plot

2

230

Mean Difference (IV, Random, 95% CI)

864.06 [369.66, 1358.46]

Analysis 1.3

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 3 Daily step count up to 4 months.

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 3 Daily step count up to 4 months.

4 Daily step count (all time points) Show forest plot

2

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 1.4

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 4 Daily step count (all time points).

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 4 Daily step count (all time points).

4.1 Daily step count at 4 weeks

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

4.2 Daily step count at 4 months

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

4.3 Daily step count at 12 months (after 8‐month 'maintenance' phase)

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

PRISMA flow diagram.
Figuras y tablas -
Figure 1

PRISMA flow diagram.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.
Figuras y tablas -
Figure 2

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

Forest plot of comparison: 1 Smart technology versus face‐to‐face/digital and/or written support, outcome: 1.1 Health related quality of life (CCQ and SGRQ) up to six months.
Figuras y tablas -
Figure 3

Forest plot of comparison: 1 Smart technology versus face‐to‐face/digital and/or written support, outcome: 1.1 Health related quality of life (CCQ and SGRQ) up to six months.

Forest plot of comparison: 1 Smart technology versus face‐to‐face/digital and/or written support, outcome: 1.2 Health related quality of life (CCQ only) up to six months
Figuras y tablas -
Figure 4

Forest plot of comparison: 1 Smart technology versus face‐to‐face/digital and/or written support, outcome: 1.2 Health related quality of life (CCQ only) up to six months

Forest plot of comparison: 1 Smart technology versus face‐to‐face/digital and/or written support, outcome: 1.3 Daily step count up to four months.
Figuras y tablas -
Figure 5

Forest plot of comparison: 1 Smart technology versus face‐to‐face/digital and/or written support, outcome: 1.3 Daily step count up to four months.

Forest plot of comparison: 1 Smart technology versus face‐to‐face/digital and/or written support, outcome: 1.5 Daily step count sub group 2 (at 4 weeks).
Figuras y tablas -
Figure 6

Forest plot of comparison: 1 Smart technology versus face‐to‐face/digital and/or written support, outcome: 1.5 Daily step count sub group 2 (at 4 weeks).

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 1 Health‐related quality of life (CCQ and SGRQ) up to 6 months.
Figuras y tablas -
Analysis 1.1

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 1 Health‐related quality of life (CCQ and SGRQ) up to 6 months.

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 2 Health‐related quality of life (CCQ only) up to 6 months.
Figuras y tablas -
Analysis 1.2

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 2 Health‐related quality of life (CCQ only) up to 6 months.

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 3 Daily step count up to 4 months.
Figuras y tablas -
Analysis 1.3

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 3 Daily step count up to 4 months.

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 4 Daily step count (all time points).
Figuras y tablas -
Analysis 1.4

Comparison 1 Smart technology versus face‐to‐face/digital and/or written support, Outcome 4 Daily step count (all time points).

Summary of findings for the main comparison. Smart technology compared with face‐to‐face/digital and/or written support for self‐managment in COPD

Smart technology compared with face‐to‐face/digital and/or written support for self‐management in chronic obstructive pulmonary disease

Participant or population: adults with a clinical diagnosis of COPD
Setting: home or non‐healthcare residential setting (sheltered housing)
Intervention: smart technology
Comparison: face‐to‐face/digital and/or written support

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

Number of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with face‐to‐face/digital and/or written support

Risk with smart technology

Hospital admission

239 (1 RCT; Moy 2015 at 12 months)

⊕⊕ Lowa

Hospital admission not reported at 4 months. At 12 months. smart technology did not significantly impact the number of hospital admissions

Acute exacerbations requiring general practitioner (GP) visit and/or additional treatment

239 (1 RCT; Moy 2015 at 12 months)

⊕⊕ Lowa

Acute exacerbations were not reported at 4 months. At 12 months, smart technology did not significantly impact the number of acute exacerbations

Health‐related quality of life (HRQoL)
assessed with SGRQ and CCQ
Follow‐up: range 4 weeks to 6 months

Mean HRQoL ranged across control groups from 0.08 to 1.686

SMD in HRQoL in the intervention group was 0.22 lower (0.44 to 0.03 lower)

472 (3 RCTs)

⊕⊕ Lowa

Lower scores on both SGRQ and CCQ indicate better HRQoL. The SGRQ scale ranges from 0 to 100, and a change in score of 4 units is regarded as the minimum clinically important difference (MCID). The SMD in the lower score indicates better HRQoL with smart technology

Daily step count
assessed with pedometer
Follow‐up: range 4 weeks to 4 months

Mean daily step count was 3200 to 4617 steps

Mean daily step count in the intervention group improved by 864 steps (369.66 to 1358.46 higher)

230 (2 RCTs; Moy 2015 at 4 months and Tabak 2013 at 4 weeks)

⊕⊕ Lowa

The follow‐up period differed between studies, from 4 weeks to 4 months. Smart technology significantly improved physical activity as seen in daily step counts

Self‐efficacy

0

This outcome was not measured in any of the included studies

Behaviour change: smoking cessation

284 (1 RCT)

⊕⊕⊕
Moderateb

Results showed no significant effect on smoking cessation

Functional capacity (6‐minute walking test or similar)

0

None of the included studies measured this outcome

Anxiety and depression

0

None of the included studies measured this outcome

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

CI: confidence interval; SMD: standardised mean difference

GRADE Working Group grades of evidence
High quality: We are very confident that the true effect lies close to the estimate of effect
Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of effect but may be substantially different
Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of effect
Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

aCI is wide owing to the small number of studies and the small sample sizes, which may impact precision of estimates

bCI is wide owing to the single study and the small sample size, which may impact precision of estimates

Figuras y tablas -
Summary of findings for the main comparison. Smart technology compared with face‐to‐face/digital and/or written support for self‐managment in COPD
Comparison 1. Smart technology versus face‐to‐face/digital and/or written support

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Health‐related quality of life (CCQ and SGRQ) up to 6 months Show forest plot

3

472

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

‐0.22 [‐0.40, ‐0.03]

2 Health‐related quality of life (CCQ only) up to 6 months Show forest plot

2

251

Mean Difference (IV, Random, 95% CI)

‐0.28 [‐0.44, ‐0.12]

3 Daily step count up to 4 months Show forest plot

2

230

Mean Difference (IV, Random, 95% CI)

864.06 [369.66, 1358.46]

4 Daily step count (all time points) Show forest plot

2

Mean Difference (IV, Random, 95% CI)

Totals not selected

4.1 Daily step count at 4 weeks

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

4.2 Daily step count at 4 months

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

4.3 Daily step count at 12 months (after 8‐month 'maintenance' phase)

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

Figuras y tablas -
Comparison 1. Smart technology versus face‐to‐face/digital and/or written support