Protocol of a randomized controlled trial investigating the effectiveness of Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke (ReCAPS)

Rationale: To address unmet needs, electronic messages to support person-centred goal attainment and secondary prevention may avoid hospital presentations/readmissions after stroke, but evidence is limited. Hypothesis: Compared to control participants, there will be a 10% lower proportion of intervention participants who represent to hospital (emergency/admission) within 90 days of randomisation. Methods and design: Multicentre, double-blind, randomised controlled trial with intention-to-treat analysis. The intervention group receives 12 weeks of personalised, goal-centred and administrative electronic messages, while the control group only receives administrative messages. The trial includes a process evaluation, assessment of treatment fidelity and an economic evaluation. Participants: Confirmed stroke (modified Rankin Score: 0-4), aged �18 years with internet/mobile phone access, discharged directly home from hospital. Randomisation: 1:1 computer-generated, stratified by age and baseline disability. Outcomes Assessments: Collected at 90 days and 12 months following randomisation. Outcomes: Primary: Hospital emergency presentations/admissions within 90 days of randomisation. Secondary outcomes include goal attainment, self-efficacy, mood, unmet needs, disability, quality-of-life, recurrent stroke/cardiovascular events/deaths at 90 days and 12 months, and death and cost-effectiveness at 12 months. Sample size: To test our primary hypothesis, we estimated a sample size of 890 participants (445 per group) with 80% power and two-tailed significance threshold of α=0.05. Given uncertainty for the effect size of this novel intervention, the sample size will be adaptively re-estimated when outcomes for n=668 are obtained, with maximum sample capped at 1100. Discussion: We will provide new evidence on the potential effectiveness, implementation and cost-effectiveness of a tailored eHealth intervention for survivors of stroke.