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IntroductionAlthough traditional patient-centered medical homes (PCMHs) are effective for patients with complex needs, it is unclear whether homeless-tailored PCMHs work better for homeless veterans. We examined the impact of enrollment in a Veterans Health Administration (VHA) homeless-tailored PCMH on health services use, cost, and satisfaction compared with enrollment in a traditional, nontailored PCMH.MethodsWe conducted a prospective, multicenter, quasi-experimental, single-blinded study at 2 VHA medical centers to assess health services use, cost, and satisfaction during 12 months among 2 groups of homeless veterans: 1) veterans receiving VHA homeless-tailored primary care (Homeless-Patient Aligned Care Team [H-PACT]) and 2) veterans receiving traditional primary care services (PACT). A cohort of 266 homeless veterans enrolled from June 2012 through January 2014.ResultsCompared with PACT patients, H-PACT patients had more social work visits (4.6 vs 2.7 visits) and fewer emergency department (ED) visits for ambulatory care-sensitive conditions (0 vs 0.2 visits); a significantly smaller percentage of veterans in H-PACT were hospitalized (23.1% vs 35.4%) or had mental health-related ED visits (34.1% vs 47.6%). We found significant differences in primary care provider-specific visits (H-PACT, 5.1 vs PACT, 3.6 visits), mental health care visits (H-PACT, 8.8 vs PACT, 13.4 visits), 30-day prescription drug fills (H-PACT, 40.5 vs PACT, 58.8 fills), and use of group therapy (H-PACT, 40.1% vs PACT, 53.7%). Annual costs per patient were significantly higher in the PACT group than the H-PACT group ($37,415 vs $28,036). In logistic regression model of acute care use, assignment to the H-PACT model was protective as was rating health "good" or better.ConclusionHomeless veterans enrolled in the population-tailored primary care approach used less acute care and costs were lower. Tailored-care models have implications for care coordination in the US Department of Veterans Affairs VA and community health systems.

To examine potential health disparities due to a broad reliance on telehealth during the COVID-19 pandemic, the authors studied the impact of video-enabled tablets provided by the U.S. Department of Veterans Affairs (VA) on psychotherapy usage among rural versus urban, Black versus White, and female versus male veterans. Psychotherapy usage trends before and after onset of the COVID-19 pandemic were examined among veterans with at least one mental health visit in 2019 (63,764 tablet recipients and 1,414,636 nonrecipients). Adjusted difference-in-differences and event study analyses were conducted to compare psychotherapy usage among tablet recipients and nonrecipients (March 15, 2020–December 31, 2021) 10 months before and after tablet issuance. Analyses were stratified by rurality, sex, and race. Adjusted analyses demonstrated that tablet receipt was associated with increases in psychotherapy visit frequency in every patient group studied (rural, 27.4%; urban, 24.6%; women, 30.5%; men, 24.4%; Black, 20.8%; White, 28.1%), compared with visits before tablet receipt. Compared with men, women had statistically significant tablet-associated psychotherapy visit increases (video visits, 1.2 per year; all modalities, 1.0 per year). VA-issued tablets led to increased psychotherapy usage for all groups examined, with similar increases found for rural versus urban and Black versus White veterans and higher increases for women versus men. Eliminating barriers to Internet access or device ownership may improve mental health care access among underserved or historically disadvantaged populations. VA's tablet program offers insights to inform policy makers' and health systems' efforts to bridge the digital divide. [ABSTRACT FROM AUTHOR]

This article examines the relative merit of augmenting an electronic health record (EHR)-derived predictive model of institutional long-term care (LTC) use with patient-reported measures not commonly found in EHRs. We used survey and administrative data from 3,478 high-risk Veterans aged ≥65 in the U.S. Department of Veterans Affairs, comparing a model based on a Veterans Health Administration (VA) geriatrics dashboard, a model with additional EHR-derived variables, and a model that added survey-based measures (i.e., activities of daily living [ADL] limitations, social support, and finances). Model performance was assessed via Akaike information criteria, C-statistics, sensitivity, and specificity. Age, a dementia diagnosis, Nosos risk score, social support, and ADL limitations were consistent predictors of institutional LTC use. Survey-based variables significantly improved model performance. Although demographic and clinical characteristics found in many EHRs are predictive of institutional LTC, patient-reported function and partnership status improve identification of patients who may benefit from home- and community-based services. [ABSTRACT FROM AUTHOR]

Objectives: To analyze inappropriate use of magnetic resonance imaging (MRI) for patients with low back pain in a healthcare system with no financial incentives for overuse., Study Design: We used administrative data to assess the appropriateness of lumbar spine (LS) MRI in the Veterans Health Administration., Methods: All veterans who received LS MRI in the outpatient setting in fiscal year 2012 were included. We based our assessments of appropriateness on CMS criteria, which have been endorsed by the National Quality Forum. Generalized estimating equations were used to evaluate characteristics of inappropriate scans., Results: Of the 110,661 LS MRIs performed, 31% were classified as inappropriate. Most scans that were considered appropriate were characterized as such because they were preceded by conservative therapy (53%). "Red flag" conditions were responsible for a much smaller percentage of scans being considered appropriate; 13% of scans were preceded by conservative therapy and were performed in patients with a red flag condition, while only 4% of scans were considered appropriate because of red flag conditions only. Scans ordered in the emergency department and in urgent care, primary care, and internal medicine clinics were most likely to be classified as inappropriate. Resident physicians were significantly less likely than other provider types to order inappropriate LS MRIs (odds ratio, 0.80; P < .0001). Approximately 24% of providers ordered 74% of inappropriate scans., Conclusions: We found that 31% of LS MRIs were inappropriate in a healthcare system largely absent of financial and other incentives for ordering. The problem of inappropriate ordering of LS MRI is concentrated in a small number of providers; any provider-facing interventions to reduce inappropriate order should therefore be targeted, rather than aimed at all providers who order LS MRI.

Objectives: In 2010, the Veterans Health Administration (VA) began national implementation of its patient-centered medical home (PCMH) model, called Patient Aligned Care Teams (PACTs), to improve access, coordination, and patient-centered care. We evaluated changes in reported implementation of PCMH components in all VA primary care clinics, and patients' utilization of acute and non-acute care and total costs after 2 years., Study Design: Longitudinal study of 2,607,902 patients from 796 VA primary care clinics., Methods: Clinics were surveyed for their implementation of PCMH components. Patient outcomes were measured by outpatient visits for primary care, specialty care, telephone care, and emergency department (ED) care; hospitalizations for an ambulatory care-sensitive condition (ACSC); and costs of VA care in fiscal years (FYs) 2009 and 2011. Multi-level, multivariable models predicted changes in utilization and costs, adjusting for patients' health status, clinic PCMH component scores, and a patient fixed effect., Results: Clinics reported large improvements in adoption of all PCMH components from FY 2009 to FY 2011. Higher organization of practice scores was associated with fewer primary care visits (P = .012). Greater care coordination/transitions was modestly associated with more specialty care visits (P = .010) and fewer ED visits (P = .018), but quality/performance improvement was associated with more ED visits (P = .032). None of the PCMH components were significantly related to telephone visits, ACSC hospitalizations, or total healthcare costs., Conclusions: Improvements under organization of practice and care coordination/transitions appear to have impacted outpatient care, but reductions in acute care were largely absent.