Methodology for Evaluating Models of Telemental Health Delivery Against Population and Healthcare System Needs: Application to Telemental Healthcare for Rural Native Veterans.

Abstract

Background: Rural American Indian and Alaska Native (AI/AN) Veterans face exceptional barriers to receiving quality mental healthcare. We aimed to identify models of in-person and telemental health service delivery with promise for adaptation and wide dissemination to rural AI/AN Veterans. Methods: Our method for matching specific populations with models of care includes (1) selecting frameworks that represent the healthcare organization's goals, (2) identifying relevant service delivery models for the target population(s), (3) assessing models against the selected frameworks, and (4) summarizing findings across models. We applied this approach to rural AI/AN Veteran populations. Results: Searches identified 13 current models of service delivery for rural AI/AN Veteran, rural AI/AN, and general rural Veteran populations. These models were assessed against four frameworks-the U.S. Department of Veterans Affairs' Office of Rural Health's Promising Practices, Veterans Health Administration's Guide to Mental Health Services, the Institute for Healthcare Improvement's Triple Aim Framework, and the American Indian Telemental Health Clinic framework. Discussion: The one model used for service delivery for rural AI/AN Veterans increases access and is patient-centered but lacks operational feasibility. Models for rural AI/ANs also increase access and are patient-centered but generally lack effectiveness evaluations. Models for rural Veterans demonstrate beneficial effects on mental health outcomes but do not emphasize cultural adaptations to diverse populations. Conclusions: Our approach to selecting models of service delivery considers the needs of operational partners as well as target populations and emphasizes large-scale implementation alongside effectiveness. Pending further testing, this approach holds promise for wider application.