Table · dataset · 2026
Supplementary file 1_Barriers and facilitators to telerehabilitation adherence in young and middle-aged stroke survivors: a qualitative COM-B analysis.docx
Listed in HKU DataHub and figshare and Loughborough Research Repository — shown once because both records carry DOI 10.3389/fneur.2026.1885751.s001
Description
Objective<p>To explore the barriers and facilitators to telerehabilitation adherence among young and middle-aged stroke survivors using the Capability, Opportunity, Motivation–Behavior (COM-B) model.</p>Methods<p>A qualitative descriptive study was conducted with 15 stroke survivors aged 18–60 years recruited from a tertiary hospital in China. Data were collected via one-on-one semi-structured interviews and analyzed using directed content analysis, with iterative mapping of codes to COM-B sub-domains.</p>Results<p>Fourteen themes were identified across the six COM-B dimensions, comprising eight barriers and six facilitators.
Capability barriers included post-stroke physical exhaustion and low digital confidence, while facilitators were perceived functional recovery and movement self-correction. Opportunity barriers encompassed physical space limitations, unstable internet connectivity, and social isolation; facilitators were family support and therapist supervision. Motivational barriers included efficacy skepticism, digital fatigue, and re-injury anxiety; facilitators were return-to-work aspiration and routine integration.
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Adherence was shaped by dynamic interactions among these factors rather than isolated determinants.</p>Conclusion<p>Telerehabilitation adherence in young and middle-aged stroke survivors is influenced by a complex interplay of physical, cognitive, environmental, social, and motivational factors. Multi-component interventions that simultaneously target capability, opportunity, and motivation—such as fatigue management, digital skills training, home environment optimisation, family involvement, vocational goal-setting, serious games, and peer support—are warranted to enhance engagement and improve long-term outcomes.
The COM-B model provides a useful framework for designing such tailored strategies.</p>
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Where it is published
- DOI doi.org/10.3389/fneur.2026.1885751.s001 ↗
DOI / persistent id · from datahub hku hk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from datahub hku hk
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Humanities · Humanities · Life Sciences · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Medicine & Health · Neurology and neuromuscular diseases · Neurology and neuromuscular diseases · Neurology and neuromuscular diseases · Ocean & Atmospheric Science · Psychology & Behavioral Science · Social Science · Social Science
Provenance · 3 source records, 34 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| HKU DataHub | oai:figshare.com:article/34008438 | 10 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34008438 | 9 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34008438 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].anzsrc:field:320905 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Neurology and Neuromuscular Diseases'] |
| concepts[field].anzsrc:field:320905 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Neurology and Neuromuscular Diseases'] |
| concepts[field].anzsrc:field:320905 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Neurology and Neuromuscular Diseases'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| description | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/description |
| license | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/rights |
| publication_date | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| title | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/title |