Dose–Response Effects of Patient Engagement on Health Outcomes in an mHealth Intervention: Secondary Analysis of a Randomized Controlled Trial

Background The dose–response relationship between patient engagement and long-term intervention effects in mobile health (mHealth) interventions are understudied. Studies exploring long-term and potentially changing relationships between patient engagement and health outcomes in mHealth interventions are needed. Objective This study aims to examine dose–response relationships between patient engagement and 3 psychosocial outcomes in an mHealth intervention, Run4Love, using repeated measurements of outcomes at baseline and 3, 6, and 9 months. Methods This study is a secondary analysis using longitudinal data from the Run4Love trial, a randomized controlled trial with 300 people living with HIV and elevated depressive symptoms to examine the effects of a 3-month mHealth intervention on reducing depressive symptoms and improving quality of life (QOL). We examined the relationships between patient engagement and depressive symptoms, QOL, and perceived stress in the intervention group (N=150) using 4–time-point outcome measurements. Patient engagement was assessed using the completion rate of course assignments and frequency of items completed. Cluster analysis was used to categorize patients into high- and low-engagement groups. Generalized linear mixed effects models were conducted to investigate the dose–response relationships between patient engagement and outcomes. Results The cluster analysis identified 2 clusters that were distinctively different from each other. The first cluster comprised 72 participants with good compliance to the intervention, completing an average of 74% (53/72) of intervention items (IQR 0.22). The second cluster comprised 78 participants with low compliance to the intervention, completing an average of 15% (11/72) of intervention items (IQR 0.23). Results of the generalized linear mixed effects models showed that, compared with the low-engagement group, the high-engagement group had a significant reduction in more depressive symptoms (β=−1.93; P=.008) and perceived stress (β=−1.72; P<.001) and an improved QOL (β=2.41; P=.01) over 9 months. From baseline to 3, 6, and 9 months, the differences in depressive symptoms between the 2 engagement groups were 0.8, 1.6, 2.3, and 3.7 points, respectively, indicating widening between-group differences over time. Similarly, between-group differences in QOL and perceived stress increased over time (group differences in QOL: 0.9, 1.9, 4.7, and 5.1 points, respectively; group differences in the Perceived Stress Scale: 0.9, 1.4, 2.3, and 3.0 points, respectively). Conclusions This study revealed a positive long-term dose–response relationship between patient engagement and 3 psychosocial outcomes among people living with HIV and elevated depressive symptoms in an mHealth intervention over 9 months using 4 time-point repeat measurement data. The high- and low-engagement groups showed significant and widening differences in depressive symptoms, QOL, and perceived stress at the 3-, 6-, and 9-month follow-ups. Future mHealth interventions should improve patient engagement to achieve long-term and sustained intervention effects. Trial Registration Chinese Clinical Trial Registry ChiCTR-IPR-17012606; https://www.chictr.org.cn/showproj.aspx?proj=21019

Exploring Early Adopter Baby Boomers' Approach to Managing Their Health and Healthcare

The Patient 3.0 Profile is used to explore to the patient engagement strategies of early adopter baby boomers' in three domains: 1) patient relationships, 2) health information use and 3) consumer health technology (CHT) use. Findings from six focus groups with early adopter boomers challenge prior notions about older adults' passive approach to patient engagement. Baby boomers want to make final healthcare decisions with input from providers. While adept at finding and critically assessing online health information for self-education and self-management, boomers want providers to curate relevant and trustworthy information. Boomers embrace CHTs offered through providers (i.e., patient portals, email and text messaging) and sponsored by wellness programs (i.e., diet and activity devices and apps). However, there is no indication they add information to their online medical records or use CHT for diagnosis, treatment or disease management. Additional resources are needed to encourage widespread adoption, support patient effectiveness, and confirm cost-benefit.

PARTNER-MH, a Peer-Led Patient Navigation Intervention for Racial and Ethnic Minority Veterans in Veterans Health Administration (VHA) Mental Health Services: A Mixed-Methods Randomized Controlled Feasibility Trial Study Protocol

Background: Mental healthcare disparities are persistent and have increased in recent years. Compared to their White counterparts, racial and ethnic minority groups have less access to mental healthcare. Minority groups also have lower engagement in mental health treatment and are more likely to experience ineffective patient-provider communication, which contribute to negative mental healthcare experiences and poor mental health outcomes. Interventions that embrace recovery-oriented practices to support patient engagement and empower patients to participate in their mental healthcare and treatment decisions may help to reduce mental healthcare disparities. Designed to achieve this goal, PARTNER-MH is a peer-led, patient navigation intervention that aims to engage minority patients in mental health treatment, support them to take a greater role in their care, and facilitate their participation in treatment shared decision-making. Methods: This pilot study evaluates the feasibility and acceptability of PARTNER-MH in a VHA mental health setting using a mixed-methods, randomized controlled trial study design. PARTNER-MH is tested under real-world conditions, using certified VHA peer support specialists (peers), selected via usual VHA hiring practices and assigned to the mental health service. The peers provide PARTNER-MH and usual peer support services. The study compares the impact of PARTNER-MH versus a wait-list control group on patient activation, patient engagement, and shared decision-making, as well as other patient-level outcomes. PARTNER-MH also examines organizational factors that could impact its future implementation in VHA settings. Results: Participants (N=50) were veterans who were mostly male (62%), self-identified as non-Hispanic Black (70%), with a median age in the 45-54 group. Most had at least some college education, and 32% completed 4 or more years of college. Randomization produced comparable groups in terms of characteristics and outcome measures at baseline, except for gender. Discussion and Conclusion: Rather than simply documenting health disparities among vulnerable populations, PARTNER-MH offers opportunities to evaluate a tailored, culturally-sensitive system-based intervention to improve patient engagement and patient-provider communication in mental healthcare for racial and ethnic minorities. IRB Protocol #1708628270Trial registration: ClinicalTrials.gov, NCT04515771. Registered 14 August 2020, https://clinicaltrials.gov/ct2/show/NCT04515771