Evidence map›Paper›PMID 35130940›Full record

ArticleBMC sports science, medicine & rehabilitation2022

Identifying the factors affecting 'patient engagement' in exercise rehabilitation.

Junsheng L Teo, Zhen Zheng, Stephen R Bird

Open access · goldAbstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
21.4field-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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 82 citations in OpenAlex.

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  4. Perceptions and Experiences of a Multimodal Rehabilitation Program for People With Post-Acute COVID-19: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2025
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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

3 authors at 1 institution in 1 country.

Junsheng L TeoSchool of Health and Biomedical Sciences, RMIT University, Melbourne, 3083, Australia.
Zhen ZhengSchool of Health and Biomedical Sciences, RMIT University, Melbourne, 3083, Australia.
Stephen R BirdSchool of Health and Biomedical Sciences, RMIT University, Melbourne, 3083, Australia. stephen.bird@rmit.edu.au.
RMIT University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the proven benefits of exercise rehabilitation for numerous health conditions, musculoskeletal injuries and recovery from surgery, patient adherence to such programs is reported to often be less than 35%. Increasing patient engagement therefore has the potential to improve patient health outcomes, benefiting the patient, their carers and the services that support them. The aims of this review were to identify the factors that contribute to 'patient' engagement in prescribed exercise rehabilitation using the COM-B (capability, opportunity, motivation-behaviour) framework of behavioural analysis.

methodsFive electronic databases (PubMed, Embase, Cochrane, Web of Science, and ClinicalTrials.gov) were searched. 'COM-B' was the key word searched for specifically within titles and abstracts, combined with either 'physical activity' OR 'exercise' included using the 'AND' operation. Records were then filtered and excluded following full-text screening based on the predetermined eligibility criteria.

resultsTwenty studies were included in the review. The main COM-B themes highlighted for improving patient engagement were: capability-improving patient knowledge and cognitive skills for behavioural regulation, such as 'action planning' and 'action control', which could also benefit time-management; opportunity-a balanced life situation that enabled time to be devoted to the exercise program, social support, easily accessible and affordable resources and services; and motivation-increasing patient levels of self-efficacy and autonomous motivation, which were noted to be influenced by levels of perceived 'capability', additionally 'motivation' was noted to be influenced by patients perceiving the benefits of the exercise, and adherence to the program was promoted by 'goal-setting'. Other issues in the 'capability' domain included a fear and/or dislike of exercise.

conclusionPatient engagement behavior has been shown to be influenced by both external (opportunity) and intrapersonal variables (capability and motivation). Those prescribing exercises within a rehabilitation program need to discuss these factors with their patients and co-design the exercise rehabilitation program in partnership with the patient, since this is likely to improve patient engagement, and thereby result in superior health outcomes. Furthermore, these factors need to be a consideration in clinical trials, if the findings from such trials are to translate into mainstream healthcare settings.

Indexed as

BarriersCOM-BExerciseFacilitatorsRehabilitation

Identifiers

PMID35130940
PMCPMC8819209
OpenAlexW4210911928

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.