Increasing Use of Video Telehealth Among Veterans Experiencing Homelessness with Substance Use Disorder: Design of A Peer-Led Intervention.

Telehealth offers promising opportunities, but also challenges, for veterans experiencing homelessness - during the COVID-19 pandemic and beyond. Recent research found low utilization of clinical video visits among homeless veterans receiving a VA tablet, and having a substance use disorder (SUD) further reduced visit likelihood. Hence, this study sought to identify unique barriers to telehealth use among veterans experiencing homelessness with a SUD and design an intervention to promote adoption. This qualitative study was guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study's three phases included veteran interviews (N = 28) to identify barriers and facilitators to video telehealth use and propose intervention candidates, a provider expert panel to obtain feedback on interventions, and a focus group with veterans to complete the intervention. Finally, a prototype was designed using the intervention mapping approach. Veteran interviews revealed that barriers to video telehealth included complex physical and mental health issues, lack of digital literacy, and insufficient technical support. Together, veterans and experts proposed five intervention candidates. In the end, a veteran focus group combined two candidates, peer-led digital training and motivational interviewing. Intervention mapping was used to design a "stepped care" intervention that trains and activates veterans at all skill levels. This study demonstrates how inclusion of expert and veteran views led to development of a novel intervention to support and sustain video telehealth use among veterans experiencing homeless with SUD.

Text messaging to increase patient engagement in a large health care for the homeless clinic: Results of a randomized pilot study.

Objectives: To assess the feasibility and effectiveness of text messaging to increase outpatient care engagement and medication adherence in an urban homeless population in Boston. Methods: Between July 2017 and April 2018, 62 patients from a clinic serving a homeless population were sent automated text messages for four months. Messages were either appointment reminders and medication adherence suggestions (intervention group) or general health promotion messages (control group). Medical records were reviewed to evaluate appointment keeping, emergency room (ER) use, and hospitalizations. Pre- and post-surveys were administered to measure self-reported medication adherence. Results: No significant differences were found in inpatient or outpatient care between the intervention and control groups, though differences in no-show rates and medication adherence approached significance. Appointment no-show rates were 21.0% vs. 30.6% (p = 0.08) for intervention and control, respectively, and rates of completed appointments were 65.8% vs. 56.7% (p = 0.12). Mean ER visits were 3.86 vs 2.33 (p = 0.16) for intervention and control groups, and mean inpatient admissions were 0.6 versus 1.24 (p = 0.42). Self-reported medication adherence increased from 8.27 to 9.84 in intervention participants, compared to an increase from 8.27 to 8.68 in control participants (p = 0.07), on a 1-11 scale. Conclusions: Text messaging showed the potential to improve patient engagement in care and medication adherence in an urban homeless population (findings approaching but not achieving statistical significance). Work is needed to enhance the effectiveness of text-messaging interventions, which may involve increasing ease of use for mobile phones and texting apps, and addressing high rates of phone theft and loss.

Use of Video Telehealth Tablets to Increase Access for Veterans Experiencing Homelessness.

BACKGROUND: Veterans experiencing homelessness face substantial barriers to accessing health and social services. In 2016, the Veterans Affairs (VA) healthcare system launched a unique program to distribute video-enabled tablets to Veterans with access barriers. OBJECTIVE: Evaluate the use of VA-issued video telehealth tablets among Veterans experiencing homelessness in the VA system. DESIGN: Guided by the RE-AIM framework, we first evaluated the adoption of tablets among Veterans experiencing homelessness and housed Veterans. We then analyzed health record and tablet utilization data to compare characteristics of both subpopulations, and used multivariable logistic regression to identify factors associated with tablet use among Veterans experiencing homelessness. PATIENTS: In total, 12,148 VA patients receiving tablets between October 2017 and March 2019, focusing on the 1470 VA Veterans experiencing homelessness receiving tablets (12.1%). MAIN MEASURES: Tablet use within 6 months of receipt for mental health, primary or specialty care. KEY RESULTS: Nearly half (45.9%) of Veterans experiencing homelessness who received a tablet had a video visit within 6 months of receipt, most frequently for telemental health. Tablet use was more common among Veterans experiencing homelessness who were younger (AOR = 2.77; P <.001); middle-aged (AOR = 2.28; P <.001); in rural settings (AOR = 1.46; P =.005); and those with post-traumatic stress disorder (AOR = 1.64; P <.001), and less common among those who were Black (AOR = 0.43; P <.001) and those with a substance use disorder (AOR = 0.59; P <.001) or persistent housing instability (AOR = 0.75; P = .023). CONCLUSIONS: Telehealth care and connection for vulnerable populations are particularly salient during the COVID-19 pandemic but also beyond. VA's distribution of video telehealth tablets offers healthcare access to Veterans experiencing homelessness; however, barriers remain for subpopulations. Tailored training and support for these patients may be needed to optimize telehealth tablet use and effectiveness.

Interorganizational Care Coordination of Rural Veterans by Veterans Affairs and Community Care Programs: A Systematic Review.

BACKGROUND: In the unique context of rural Veterans' health care needs, expansion of US Department of Veterans Affairs and Community Care programs under the MISSION Act, and the uncertainties of coronavirus disease 2019 (COVID-19), it is critical to understand what may support effective interorganizational care coordination for increased access to high-quality care. OBJECTIVES: We conducted a systematic review to examine the interorganizational care coordination initiatives that Veterans Affairs (VA) and community partners have pursued in caring for rural Veterans, including challenges and opportunities, organizational domains shaping care coordination, and among these, initiatives that improve or impede health care outcomes. RESEARCH DESIGN: We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search 2 electronic databases (PubMed and Embase) for peer-reviewed articles published between January 2009 and May 2020. Building on prior research, we conducted a systematic review. RESULTS: Sixteen articles met our criteria. Each captured a unique health care focus while examining common challenges. Four organizational domains emerged: policy and administration, culture, mechanisms, and relational practices. Exemplars highlight how initiatives improve or impede rural health care delivery. CONCLUSIONS: This is the first systematic review, to our knowledge, examining interorganizational care coordination of rural Veterans by VA and Community Care programs. Results provide exemplars of interorganizational care coordination domains and program effectiveness. It suggests that partners' efforts to align their coordination domains can improve health care, with rurality serving as a critical contextual factor. Findings are important for policies, practices, and research of VA and Community Care partners committed to improving access and health care for rural Veterans.

Veterans Affairs and Rural Community Providers' Perspectives on Interorganizational Care Coordination: A Qualitative Analysis.

OBJECTIVE: To investigate challenges in care coordination between US Department of Veterans Affairs (VA) clinics and community providers serving rural veterans. METHODS: We completed qualitative interviews in 2017-2018 with a geographically diverse sample of 57 VA and community staff. Interviews were audio-recorded and transcribed verbatim. We used Rapid Qualitative Inquiry (RQI) to guide analyses. RESULTS: Results suggested 5 pivotal domains related to interorganizational care coordination at these sites: organizational mechanisms; organizational culture; relational coordination; contextual factors; and the role of the third party administrators charged with management of scheduling and reimbursement of community services through recent legislation. Across these domains, strategies to bridge gaps between organizations (eg, contracts with third party administrators, development of VA-based community care offices, provision of boundary-spanning staff) at times exacerbated coordination challenges. CONCLUSIONS: Steps taken to improve interorganizational care coordination between VA and community clinics may inadvertently complicate an already complex process. Our findings emphasize the importance of attending to key contextual barriers in coordinating care for rural veterans, and they illustrate the value of fundamental structural and relational approaches to enhancing such care coordination.

Prioritizing Measures of Digital Patient Engagement: A Delphi Expert Panel Study.

BACKGROUND: Establishing a validated scale of patient engagement through use of information technology (ie, digital patient engagement) is the first step to understanding its role in health and health care quality, outcomes, and efficient implementation by health care providers and systems. OBJECTIVE: The aim of this study was to develop and prioritize measures of digital patient engagement based on patients' use of the US Department of Veterans Affairs (VA)'s MyHealtheVet (MHV) portal, focusing on the MHV/Blue Button and Secure Messaging functions. METHODS: We aligned two models from the information systems and organizational behavior literatures to create a theory-based model of digital patient engagement. On the basis of this model, we conducted ten key informant interviews to identify potential measures from existing VA studies and consolidated the measures. We then conducted three rounds of modified Delphi rating by 12 national eHealth experts via Web-based surveys to prioritize the measures. RESULTS: All 12 experts completed the study's three rounds of modified Delphi ratings, resulting in two sets of final candidate measures representing digital patient engagement for Secure Messaging (58 measures) and MHV/Blue Button (71 measures). These measure sets map to Donabedian's three types of quality measures: (1) antecedents (eg, patient demographics); (2) processes (eg, a novel measure of Web-based care quality); and (3) outcomes (eg, patient engagement). CONCLUSIONS: This national expert panel study using a modified Delphi technique prioritized candidate measures to assess digital patient engagement through patients' use of VA's My HealtheVet portal. The process yielded two robust measures sets prepared for future piloting and validation in surveys among Veterans.

Technology-assisted patient access to clinical information: an evaluation framework for blue button.

BACKGROUND: Patient access to clinical information represents a means to improve the transparency and delivery of health care as well as interactions between patients and health care providers. We examine the movement toward augmenting patient access to clinical information using technology. Our analysis focuses on "Blue Button," a tool that many health care organizations are implementing as part of their Web-based patient portals. OBJECTIVE: We present a framework for evaluating the effects that technology-assisted access to clinical information may have on stakeholder experiences, processes of care, and health outcomes. METHODS: A case study of the United States Department of Veterans Affairs' (VA) efforts to make increasing amounts of clinical information available to patients through Blue Button. Drawing on established collaborative relationships with researchers, clinicians, and operational partners who are engaged in the VA's ongoing implementation and evaluation efforts related to Blue Button, we assessed existing evidence and organizational practices through key informant interviews, review of documents and other available materials, and an environmental scan of published literature and the websites of other health care organizations. RESULTS: Technology-assisted access to clinical information represents a significant advance for VA patients and marks a significant change for the VA as an organization. Evaluations of Blue Button should (1) consider both processes of care and outcomes, (2) clearly define constructs of focus, (3) examine influencing factors related to the patient population and clinical context, and (4) identify potential unintended consequences. CONCLUSIONS: The proposed framework can serve as a roadmap to guide subsequent research and evaluation of technology-assisted patient access to clinical information. To that end, we offer a series of related recommendations.