Sociodemographic Differences in Patient Portal Research Recruitment of Older Adults With Heart Failure

Introduction: Innovative recruitment strategies such as patient portal messaging (PPM) hold promise for high yield, low-cost recruitment of heart failure (HF) patients for research studies but may impact the diversity of the sample. We aimed to examine strategies used to recruit older adults with advanced HF during COVID-19 in an ongoing prospective palliative care research study. Method(s): We used three recruitment strategies including the traditional in-person HF clinic screening or provider referral, and a more innovative direct-to-patient recruitment approach using EHR patient portal messaging (PPM) or email. We compared characteristics of participants recruited via PPM/email and traditional in-person recruitment strategies using chi-squared and t-tests. We used multiple logistic regression to examine associations between participant characteristics and recruitment type. Result(s): Most participants were recruited through PPM or email (86%, n=247) over 10 months and the remaining participants were recruited through provider referral or in-person recruitment at the heart failure clinic over 6 months (14%, n=40). Among our sample of 287 participants, 67% (n=201) were White, 28% (n=84) were Black, and the remaining 5% (n=13) were Asian, American Indian, or Alaska Native or identify with a non-listed race. The mean age was 68 years old. There was no significant difference in recruitment type by age, gender, or financial strain. There was a significant difference in recruitment type by race and education level. In a multiple logistic regression adjusting for age, gender, and financial strain, Black participants had a lower odds of PPM recruitment than white participants (OR 0.15, p<0.001). Additionally, those with higher education showed higher odds of PPM/email recruitment (OR 4.2 p = 0.001). Conclusion(s): In this study, PPM was an efficient recruitment strategy with higher odds of recruiting participants of White race and higher education compared to traditional recruitment strategies. Use of both traditional and more innovative direct-to-patient recruitment strategies may promote a more diverse study sample.

WHEN AND WHERE: LESSONS LEARNED ABOUT TECHNOLOGY FROM AN INTERVENTION FOR CAREGIVERS OF PERSONS WITH HEART FAILURE

Use of technology in older adult populations is growing, therefore it is important to understand opportunities for healthcare initiatives that support older adults using technology. The aim of the pilot study was to test Caregiver Support, a self-care and social support intervention, for caregivers of persons living with heart failure (N=24). Originally, the protocol was designed with in-person visits. We expected this option to reduce participant burden: the caregiver would not have to travel, and the interventionist would gain more insight about the home context to aid with intervention delivery. However, due to the COVID-19 pandemic, it became necessary to conduct the visits virtually. All participants completed the 5-component intervention via virtual meeting and there were no dropouts related to technology use. When asked about the virtual modality, participants emphasized the flexibility of virtual meetings. In summary, the intervention visits conducted virtually were perceived as a caregiver-centered approach.

Pilot Outcomes of A Multi-component Support Intervention for Caregivers of Persons with Heart Failure

Background: Caregivers of persons with heart failure must manage high levels of patient health care utilization, treatment complexity and often unpredictable stressors associated with intermittent symptom exacerbations and mortality. Interventions have often focused on the needs of the person with HF, not the caregiver. Therefore, we developed an intervention using human-centered design to provide caregiver-targeted support for this population. Objective: Pilot test the feasibility and gauge initial effect size of the Caregiver Support intervention to improve quality of life (mental and physical), caregiver burden, and self-efficacy among family caregivers from baseline to 16 weeks. Methods: The intervention includes five individualized, nurse-led sessions over 10 weeks conducted remotely (due to COVID-19). Intervention components focus on 1) nature of caregiving, 2) life purpose, 3) co-development of an action plan to address caregiver goals to reduce caregiver burden and improve caregiver well-being, 4) exploration of social and community resources to support unmet needs, and 5) building a sustainability plan for addressing future caregiver needs. We tested our approach in a randomized waitlist control pilot trial (N=35) from August 2020 through March 2022. We calculated enrollment and retention rates, described acceptability, and computed intervention effect sizes from baseline to 16 weeks. Results: 35 out of 101 (35%) eligible caregivers enrolled and were majority female (93.3%), White (60%) and spousal caregivers (63.3%). Average age was 59.4 ± 16.6 years. Overall retention was 69%. All intervention participants completed the five core components, reporting high levels of satisfaction and acceptability of activities. Between-group effect sizes (n=21) at 16 weeks suggest improvement in the mental health component of quality of life, caregiver burden, and self-efficacy (effect sizes 0.88, 0.31, and 0.63, respectively). Conclusion: Caregivers found Caregiver Support acceptable and study methods were feasible, despite challenges to engaging during the COVID-19 pandemic. Findings provide foundational evidence that this person-centered behavioral intervention can contribute to enhanced caregiver outcomes.