Long-term follow-up of clinical trial participants: Predictors of post-trial response in older subjects.

BACKGROUND AND OBJECTIVE: The post-trial follow-up (PTFU) phase of a clinical trial can provide important information on maintenance of intervention effects. However, approaches for the PTFU are rarely described. This short communication describes our process for PTFU that involved recontacting older subjects who participated in a clinical trial between 2015 and 2019. We also describe correlates of response to our PTFU survey. METHODS: The parent clinical trial aimed to reduce depression symptoms among older spousally-bereaved adults. We attempted to recontact our sample during the early stages of the COVID-19 pandemic. Using logistic regression, we examined physical health, depression symptoms, cognitive status, and disability as correlates of participant response to the PTFU phase. RESULTS: Forty-two percent of participants responded to the PTFU survey. Disability - or the inability to participate in major life tasks and social roles - was significantly associated with response. Participants with greater disability were less likely to respond to the PTFU survey. CONCLUSIONS: Older adults with disabilities may need alternative and supportive strategies for engaging in the PTFU phase. CLINICAL TRIALS REGISTRATION: NCT02631291.

Incorporating technology in research with older bereaved adults: Lessons learned from conducting an internet-based randomized controlled trial.

Objective: Digital health interventions (DHI) involve multiple interactions between the user, technology platform, and study team, posing challenges for implementation. This paper describes the lessons learned while implementing an internet-based randomized controlled trial (RCT) for reducing depression symptom burden in older acutely-bereaved adults. Methods: The RCT was entitled "Widowed Elders' Lifestyle after Loss" (or WELL), which compared the efficacy of a DHI to an enhanced usual care (EUC) for reducing depression symptoms in adults 60+ years who lost their spouse/life partner within the previous 12 months. Participants randomized to the DHI used their own tablet, smartphone, or pc to record the timing and regularity of sleep, meals, and physical activity twice daily, for 12 weeks. The also received weekly health coaching sessions from a clinician certified in motivational interviewing. Participants randomized to the EUC arm received weekly calls from research staff and were assessed on the same schedule as intervention participants. All study procedures were conducted virtually. Methodological and procedural challenges were discussed weekly with study staff and the primary investigator. Results: Many challenges can be categorized as follows recruiting virtually, obtaining informed consent, training older adults to use technology, and establishing rapport with older adults. Solutions required researcher and interventionist flexibility in adapting to new strategies. For instance, we redesigned the informed consent process to include a user-friendly brochure that enhanced participants' understanding of the RCT and improved our enrollment rate. We also utilized user-engagement in refining an intervention protocol. Conclusion: We resolved implementation challenges without compromising internal validity via interdisciplinary collaborations with mobile programmers to ensure our technology met the unique and varied needs of aging users. The solutions from this study may promote the recruitment and retainment of older adults in research studies that use technology-based interventions.