Cardiovascular

Barriers and facilitators to telerehabilitation adherence in young and middle-aged stroke survivors: a qualitative COM-B analysis.

TL;DR

Telerehabilitation adherence in young and middle-aged stroke survivors is influenced by a complex interplay of physical, cognitive, environmental, social, and motivational factors mapped across fourteen themes within the COM-B model.

Key Findings

Fourteen themes were identified across six COM-B dimensions, comprising eight barriers and six facilitators to telerehabilitation adherence in young and middle-aged stroke survivors.

  • Study used a qualitative descriptive design 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.
  • Codes were iteratively mapped to COM-B sub-domains (Capability, Opportunity, Motivation-Behavior).
  • Eight barriers and six facilitators were identified across the six COM-B dimensions.

Capability barriers to telerehabilitation adherence included post-stroke physical exhaustion and low digital confidence.

  • These barriers were categorized under the Capability dimension of the COM-B model.
  • Low digital confidence specifically reflected survivors' difficulties engaging with telerehabilitation technology.
  • Post-stroke physical exhaustion was identified as a distinct barrier separate from motivational factors.

Capability facilitators to telerehabilitation adherence included perceived functional recovery and movement self-correction.

  • Perceived functional recovery served as a positive reinforcement for continued telerehabilitation engagement.
  • Movement self-correction was identified as a skill-based facilitator within the Capability dimension.
  • These facilitators represent physical and cognitive capabilities that supported adherence.

Opportunity barriers to telerehabilitation adherence encompassed physical space limitations, unstable internet connectivity, and social isolation.

  • Three distinct opportunity-related barriers were identified, reflecting environmental and social constraints.
  • Physical space limitations refer to inadequate home environments for conducting rehabilitation exercises.
  • Unstable internet connectivity was identified as a specific technological infrastructure barrier.
  • Social isolation was categorized as an opportunity barrier, reflecting reduced access to social support structures.

Opportunity facilitators to telerehabilitation adherence included family support and therapist supervision.

  • Family support was identified as a key social environmental facilitator within the Opportunity dimension.
  • Therapist supervision facilitated adherence by providing external structure and accountability.
  • These facilitators highlight the role of the social environment in shaping telerehabilitation engagement.

Motivational barriers to telerehabilitation adherence included efficacy skepticism, digital fatigue, and re-injury anxiety.

  • Three distinct motivational barriers were identified within the COM-B Motivation dimension.
  • Efficacy skepticism refers to doubts about the effectiveness of telerehabilitation as a treatment modality.
  • Digital fatigue was identified as a motivational barrier distinct from capability-related digital confidence issues.
  • Re-injury anxiety reflected fear of sustaining new injuries during unsupervised home exercise.

Motivational facilitators to telerehabilitation adherence included return-to-work aspiration and routine integration.

  • Return-to-work aspiration was a particularly salient motivational facilitator given the young and middle-aged sample population.
  • Routine integration refers to the successful embedding of telerehabilitation exercises into daily schedules.
  • These facilitators reflect both extrinsic (vocational) and intrinsic (habitual) motivational mechanisms.

Adherence was shaped by dynamic interactions among COM-B factors rather than isolated determinants.

  • The study found that no single barrier or facilitator operated independently.
  • The interplay among physical, cognitive, environmental, social, and motivational factors collectively determined adherence behavior.
  • This dynamic interaction suggests that single-component interventions may be insufficient to address adherence.

The authors recommended multi-component interventions targeting all three COM-B domains to enhance telerehabilitation adherence.

  • Recommended strategies included fatigue management, digital skills training, and home environment optimization.
  • Family involvement, vocational goal-setting, serious games, and peer support were also recommended.
  • Interventions were proposed to simultaneously target capability, opportunity, and motivation.
  • The COM-B model was identified as 'a useful framework for designing such tailored strategies.'

What This Means

This research explored why younger and middle-aged stroke survivors (ages 18-60) do or do not stick with telerehabilitation—remote physical therapy conducted at home using technology. Researchers in China interviewed 15 stroke survivors in depth and used a structured psychological framework called the COM-B model (Capability, Opportunity, Motivation-Behavior) to organize what they heard. They found 14 distinct themes explaining adherence, including 8 barriers and 6 facilitators spanning physical ability, the home environment, and personal motivation. The study found that barriers ranged widely: some survivors struggled with physical exhaustion or lacked confidence using digital tools, others faced cramped living spaces, unreliable internet, or feelings of isolation, while still others doubted whether remote therapy actually worked, experienced burnout from screen use, or feared injuring themselves without direct supervision. On the positive side, noticing physical improvement, having family members involved, being supervised by a therapist remotely, wanting to return to work, and successfully building exercise into a daily routine all helped people stay engaged. Importantly, these factors did not work in isolation—they interacted with each other in complex ways. This research suggests that simply offering telerehabilitation technology is not enough to keep stroke survivors engaged; programs need to address multiple challenges at once. For working-age stroke survivors in particular, tapping into vocational goals (like returning to a job) may be a powerful motivator. Practical supports like teaching digital skills, helping optimize home exercise spaces, involving family members, and offering peer networks could all play important roles in making remote stroke rehabilitation more effective.

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Citation

Huang Y, Su M, Chen Y, Hu S. (2026). Barriers and facilitators to telerehabilitation adherence in young and middle-aged stroke survivors: a qualitative COM-B analysis.. Frontiers in neurology. https://doi.org/10.3389/fneur.2026.1885751