A framework for inferring and analyzing pharmacotherapy treatment patterns.

BACKGROUND: To discover pharmacotherapy prescription patterns and their statistical associations with outcomes through a clinical pathway inference framework applied to real-world data. METHODS: We apply machine learning steps in our framework using a 2006 to 2020 cohort of veterans with major depressive disorder (MDD). Outpatient antidepressant pharmacy fills, dispensed inpatient antidepressant medications, emergency department visits, self-harm, and all-cause mortality data were extracted from the Department of Veterans Affairs Corporate Data Warehouse. RESULTS: Our MDD cohort consisted of 252,179 individuals. During the study period there were 98,417 emergency department visits, 1,016 cases of self-harm, and 1,507 deaths from all causes. The top ten prescription patterns accounted for 69.3% of the data for individuals starting antidepressants at the fluoxetine equivalent of 20-39 mg. Additionally, we found associations between outcomes and dosage change. CONCLUSIONS: For 252,179 Veterans who served in Iraq and Afghanistan with subsequent MDD noted in their electronic medical records, we documented and described the major pharmacotherapy prescription patterns implemented by Veterans Health Administration providers. Ten patterns accounted for almost 70% of the data. Associations between antidepressant usage and outcomes in observational data may be confounded. The low numbers of adverse events, especially those associated with all-cause mortality, make our calculations imprecise. Furthermore, our outcomes are also indications for both disease and treatment. Despite these limitations, we demonstrate the usefulness of our framework in providing operational insight into clinical practice, and our results underscore the need for increased monitoring during critical points of treatment.

Training Psychiatrists in New Mexico: Reflections from Psychiatry Residents Who Participated in a Rural Track Versus a Traditional Program Alone over the Past Decade.

OBJECTIVE: With over 60% of rural Americans living in mental health professional shortage areas, there is a need for providing psychiatry residents training experiences in rural communities with the goal of increasing the likelihood that they will end up practicing in those same communities following graduation. The purpose of this study was to survey previous and current psychiatry residents, with the goal of describing the impact of the program on rural track residents compared to those in the traditional residency track. METHODS: Psychiatry residents 2010-2020 completed an online survey. For those who participated in the rural residency track, the survey asked additional questions regarding barriers experienced practicing in rural areas (e.g., professional isolation) and whether the goals of the rural track were met. RESULTS: Seventy-four residents completed surveys, with 26% in the "Rural Track Group" (RTG) and 74% in the "Non-rural Track Group" (NTG). More RTG reported they were more likely to practice in rural, frontier, or underserved areas after residency compared to NTG (74% versus 60%). Most RTG (72%) strongly agreed the rural program helped meet goals. Distance from family was a top barrier for current RTG (63%), followed by concerns about local schools, social isolation, and reduced career opportunities for partners (45%). CONCLUSIONS: Residents of the RTG were more likely to consider a career in a rural area than those of the traditional program alone. Psychiatry residency requirements should be reviewed to address top rural training barriers to promote retention in rural areas.