Assessment and treatment of depression in people with multiple sclerosis: A qualitative analysis of specialist clinicians' experiences.

BACKGROUND: Depression is common in people with multiple sclerosis (MS), with lifetime prevalence estimates between 25 and 50%. Depression is commonly underdiagnosed and undertreated in people with MS. This qualitative study assessed current practices, as well as facilitators and required resources to improve detection and management of depression in people with MS. METHODS: MS clinicians living in Australia were recruited through MS healthcare provider clinics and networks for online interviews. Interviews were transcribed and coded in NVivo for framework analysis. RESULTS: Participants included 15 MS specialists: nine nurses and six neurologists. Participants appreciated that depression was a common symptom of MS, and that untreated depression impacted patients' wellbeing, medication adherence, capacity for self-care, employment, and interpersonal relationships. Participants did not routinely screen for depression and noted that they lack the time and skills to manage depression once identified, most often recommending patients see their general practitioner. Clinicians recognised that people with MS commonly experience barriers to identifying and managing depressive symptoms, however few clinics provide information or discussion about depression as a symptom of MS with patients. CONCLUSION: Participants indicated a need for evidence-based guidance, more education and training to improve practices including screening for depression, and an urgent need for local referral pathways to affordable and accessible mental health services for people with MS. Findings suggest a need for better collaborative management of depression and improvement of systematic practices related to depression information, screening and treatment support.

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-centered 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 randomization. METHODS AND DESIGN: Multicenter, double-blind, randomized controlled trial with intention-to-treat analysis. The intervention group receives 12 weeks of personalized, goal-centered, and administrative electronic messages, while the control group only receive 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. Randomization: 1:1 computer-generated, stratified by age and baseline disability. Outcomes assessments: Collected at 90 days and 12 months following randomization. OUTCOMES: Primary outcomes include hospital emergency presentations/admissions within 90 days of randomization. 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.