Integrating data analytics, peer support, and whole health coaching to improve the health outcomes of homeless veterans: Study protocol for an effectiveness-implementation trial.

Background: Homelessness is a strong determinant of acute care service utilization (inpatient hospitalization, emergency department visits) among US adults. Data analytics, peer support, and patient-centered approaches can collectively offer high-quality care for homeless patients who frequently utilize acute care ("super utilizers"). However, few outpatient programs have integrated these components and tested their effectiveness for this patient population.
Objective: To test the effectiveness and implementation potential of a novel intervention that integrates data analytics with peers trained in whole health coaching ("Peer Whole Health") to reduce use of acute care among homeless adults.
Methods: Using a randomized controlled trial design at two US Veterans Health Administration Medical Centers, we plan to enroll 220 veterans in primary care on VHA's Homeless Registry who are flagged on a super-utilizer clinical dashboard. Participants will complete a baseline interview, be randomized to Enhanced Usual Care (EUC; primary care and data analytics) or EUC plus 18 sessions of Peer Whole Health over 6 months, and be re-interviewed at 3, 6, and 9 months. Qualitative interviews with primary care staff and patients will identify facilitators and barriers to more widespread implementation of the intervention.
Discussion: The primary hypothesis is that those who receive the intervention will have fewer total days of all-cause hospitalization. If confirmed, the findings can provide healthcare systems that serve homeless super-utilizers with a high-value approach to care that can be integrated into primary care services and reduce overall costs for these patients.
Clinical Trial Registration: The study is registered with ClinicalTrials.gov (NCT05176977).
Competing Interests: Declaration of Competing Interest There are no conflicts of interest among the co-authors or other members of the research team.
(Published by Elsevier Inc.)