ABSTRACT
BACKGROUND: The Covid-19 pandemic dramatically changed healthcare delivery, driving rapid expansion of synchronous (i.e., real-time) audio-only and video telehealth, otherwise known as virtual care. Yet evidence describes significant inequities in virtual care utilization, with certain populations more dependent on audio-only virtual care than video-based care. Research is needed to inform virtual care policies and processes to counteract current inequities in access and health outcomes. OBJECTIVE: Given the importance of incorporating equity into virtual care within the Veterans Health Administration (VHA), we convened a Think Tank to identify priorities for future research and virtual care operations focused on achieving equitable implementation of virtual care within the VHA. METHODS: We used participatory activities to engage clinicians, researchers, and operational partners from across the VHA to develop priorities for equitable implementation of virtual care. We refined priorities through group discussion and force-ranked prioritization and outlined next steps for selected priorities. KEY RESULTS: Think Tank participants included 43 individuals from the VHA who represented diverse geographical regions, offices, and backgrounds. Attendees self-identified their associations primarily as operations (n = 9), research (n = 28), or both (n = 6). We identified an initial list of 63 potential priorities for future research and virtual care operations. Following discussion, we narrowed the list to four priority areas: (1) measure inequities in virtual care, (2) address emerging inequities in virtual care, (3) deploy virtual care equitably to accommodate differently abled veterans, and (4) measure and address potential adverse consequences of expanded virtual care. We discuss related information, data, key partners, and outline potential next steps. CONCLUSIONS: This Think Tank of research and operational partners from across the VHA identified promising opportunities to incorporate equity into the design and implementation of virtual care. Although much work remains, the priorities identified represent important steps toward achieving this vital goal.
Subject(s)
COVID-19 , Veterans Health , United States , Humans , United States Department of Veterans Affairs , Pandemics , COVID-19/epidemiology , Delivery of Health CareABSTRACT
BACKGROUND: Cognitive Behavioral Therapy for Insomnia (CBTi) is recommended as first-line treatment for insomnia, yet patient access to CBTi is limited. Self-help CBTi could increase patient access. Self-help CBTI with provider sup]port is more effective and is preferred by patients. Self-help CBTi has not been evaluated in veterans; a population with greater medical and mental health morbidity and more severe sleep difficulties than non-veterans. Moreover, those with mental health conditions have been largely excluded from prior CBTi self-help trials. Stablishing the efficacy of provider-supported Self-help CBTi is an important first step for expanding veteran access to CBTi. METHODS: In a 2-armed randomized controlled trial, a provider-supported self-help CBTi (Tele-Self CBTi) is compared to Health Education for improving insomnia severity (primary outcome) among treatment-seeking veterans with insomnia disorder. Tele-Self CBTi is comprised of two treatment components: self-help CBTi via a professionally designed manual developed using an iterative process of expert review and patient input; and 6 telephone-based support sessions lasting >20 min. Outcomes are assessed at baseline, 8 weeks, and 6 months after baseline. The primary outcome, insomnia severity, is measured using the Insomnia Severity Index. Secondary outcomes include self-reported and actigraphy-assessed sleep, fatigue, depression symptoms, and sleep-related quality of life. CONCLUSION: Innovative approaches are essential to improving overall health among veterans; a population with highly prevalent insomnia disorder. If effective, Tele-Self CBTi may bridge the gap between unavailable resources and high demand for CBTi and serve as the entry level intervention in a stepped model of care. GOV IDENTIFIER: NCT03727438.
