Evidence map›Paper›PMID 32490838›Full record

Trial reportJMIR mHealth and uHealth2020

The Use of a Smartphone App and an Activity Tracker to Promote Physical Activity in the Management of Chronic Obstructive Pulmonary Disease: Randomized Controlled Feasibility Study.

Claire L Bentley, Lauren Powell, Stephen Potter, Jack Parker, Gail A Mountain, Yvonne Kiera Bartlett, Jochen Farwer, Cath O'Connor, Jennifer Burns, Rachel L Cresswell and 2 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 12 pooled it
10.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

81 citing papers in PubMed, 12 syntheses or guidelines pooled it, 141 citations in OpenAlex.

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  15. Ecological Predictors of Older Adults' Participation and Retention in a Physical Activity Intervention.International journal of environmental research and public health · 2022
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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Claire L BentleySchool of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-5077-0068
Lauren PowellSchool of Education, The University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0003-0230-8722
Stephen PotterSchool of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-3007-1673
Jack ParkerSchool of Human Sciences, The University of Derby, Derby, United Kingdom.ORCID 0000-0003-4684-7330
Gail A MountainSchool of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-5417-7691
Yvonne Kiera BartlettManchester Centre for Health Psychology, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-5913-3014
Jochen FarwerLibrary, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-4583-7467
Cath O'ConnorSheffield Teaching Hospitals NHS Foundation Trust, Integrated Community Care Team, Sheffield, United Kingdom.ORCID 0000-0001-6519-385X
Jennifer BurnsSchool of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0001-6909-5237
Rachel L CresswellSchool of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-6346-8562
Heather D DunnSchool of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0003-2500-7770
Mark S HawleySchool of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-2349-4491
University of Sheffield · GBManchester Academic Health Science Centre · GBSheffield Teaching Hospitals NHS Foundation Trust · GBUniversity of Derby · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is highly prevalent and significantly affects the daily functioning of patients. Self-management strategies, including increasing physical activity, can help people with COPD have better health and a better quality of life. Digital mobile health (mHealth) techniques have the potential to aid the delivery of self-management interventions for COPD. We developed an mHealth intervention (Self-Management supported by Assistive, Rehabilitative, and Telehealth technologies-COPD [SMART-COPD]), delivered via a smartphone app and an activity tracker, to help people with COPD maintain (or increase) physical activity after undertaking pulmonary rehabilitation (PR).

objectiveThis study aimed to determine the feasibility and acceptability of using the SMART-COPD intervention for the self-management of physical activity and to explore the feasibility of conducting a future randomized controlled trial (RCT) to investigate its effectiveness.

methodsWe conducted a randomized feasibility study. A total of 30 participants with COPD were randomly allocated to receive the SMART-COPD intervention (n=19) or control (n=11). Participants used SMART-COPD throughout PR and for 8 weeks afterward (ie, maintenance) to set physical activity goals and monitor their progress. Questionnaire-based and physical activity-based outcome measures were taken at baseline, the end of PR, and the end of maintenance. Participants, and health care professionals involved in PR delivery, were interviewed about their experiences with the technology.

resultsOverall, 47% (14/30) of participants withdrew from the study. Difficulty in using the technology was a common reason for withdrawal. Participants who completed the study had better baseline health and more prior experience with digital technology, compared with participants who withdrew. Participants who completed the study were generally positive about the technology and found it easy to use. Some participants felt their health had benefitted from using the technology and that it assisted them in achieving physical activity goals. Activity tracking and self-reporting were both found to be problematic as outcome measures of physical activity for this study. There was dissatisfaction among some control group members regarding their allocation.

conclusionsmHealth shows promise in helping people with COPD self-manage their physical activity levels. mHealth interventions for COPD self-management may be more acceptable to people with prior experience of using digital technology and may be more beneficial if used at an earlier stage of COPD. Simplicity and usability were more important for engagement with the SMART-COPD intervention than personalization; therefore, the intervention should be simplified for future use. Future evaluation will require consideration of individual factors and their effect on mHealth efficacy and use; within-subject comparison of step count values; and an opportunity for control group participants to use the intervention if an RCT were to be carried out. Sample size calculations for a future evaluation would need to consider the high dropout rates.

Indexed as

Mobile ApplicationsPulmonary Disease, Chronic ObstructiveExerciseFeasibility StudiesFitness TrackersHumansSmartphoneactivity trackerchronic obstructive pulmonary diseasefeasibilityFitbithealth behavior changemHealthmobile healthphysical activitypulmonary rehabilitationself-management

Identifiers

PMID32490838
PMCPMC7301262
OpenAlexW3001317058

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.