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1.
J Gen Intern Med ; 38(8): 1871-1876, 2023 06.
Article in English | MEDLINE | ID: mdl-36690913

ABSTRACT

BACKGROUND: For patients with opioid use disorder (OUD), medications for OUD (MOUD) reduce morbidity, mortality, and return to use. Nevertheless, a minority of patients receive MOUD, and underutilization is pronounced among rural patients. OBJECTIVE: While Veterans Health Administration (VHA) initiatives have improved MOUD access overall, it is unknown whether access has improved in rural VA health systems specifically. How "Community Care," healthcare paid for by VHA but received from non-VA providers, has affected rural access is also unknown. DESIGN: Data for this observational study were drawn from the VHA Corporate Data Warehouse. Facility rurality was defined by rural-urban commuting area code of the primary medical center. International Classification of Diseases codes identified patients with OUD within each year, 2015-2020. We included MOUD (buprenorphine, methadone, extended-release naltrexone) received from VHA or paid for by VHA but received at non-VA facilities through Community Care. We calculated average yearly MOUD receipt; linear regression of outcomes on study years identified trends; an interaction between year and rural status evaluated trend differences over time. PARTICIPANTS: All 129 VHA Health Systems, a designation that encompasses one or more medical centers and their affiliated community-based outpatient clinics MAIN MEASURES: The average proportion of patients diagnosed with OUD that receive MOUD within rural versus urban VHA health care systems. KEY RESULTS: From 2015 to 2020, MOUD access increased substantially: the average proportion of patients receiving MOUD increased from 34.6 to 48.9%, with a similar proportion of patients treated with MOUD in rural and urban systems in all years. Overall, a small proportion (1.8%) of MOUD was provided via Community Care, and Community Care did not disproportionately benefit rural health systems. CONCLUSIONS: Strategies utilized by VHA could inform other health care systems seeking to ensure that, regardless of geographic location, all patients are able to access MOUD.


Subject(s)
Buprenorphine , Opioid-Related Disorders , Humans , Veterans Health , Opioid-Related Disorders/drug therapy , Opioid-Related Disorders/epidemiology , Methadone/therapeutic use , Buprenorphine/therapeutic use , Health Services Accessibility , Analgesics, Opioid/therapeutic use , Opiate Substitution Treatment
2.
JAMA Netw Open ; 4(12): e2137238, 2021 12 01.
Article in English | MEDLINE | ID: mdl-34870679

ABSTRACT

Importance: With increasing rates of opioid use disorder (OUD) and overdose deaths in the US, increased access to medications for OUD (MOUD) is paramount. Rigorous effectiveness evaluations of large-scale implementation initiatives using quasi-experimental designs are needed to inform expansion efforts. Objective: To evaluate a US Department of Veterans Affairs (VA) initiative to increase MOUD use in nonaddiction clinics. Design, Setting, and Participants: This quality improvement initiative used interrupted time series design to compare trends in MOUD receipt. Primary care, pain, and mental health clinics in the VA health care system (n = 35) located at 18 intervention facilities and nonintervention comparison clinics (n = 35) were matched on preimplementation MOUD prescribing trends, clinic size, and facility complexity. The cohort of patients with OUD who received care in intervention or comparison clinics in the year after September 1, 2018, were evaluated. The preimplementation period extended from September 1, 2017, through August 31, 2018, and the postimplementation period from September 1, 2018, through August 31, 2019. Exposures: The multifaceted implementation intervention included education, external facilitation, and quarterly reports. Main Outcomes and Measures: The main outcomes were the proportion of patients receiving MOUD and the number of patients per clinician prescribing MOUD. Segmented logistic regression evaluated monthly proportions of MOUD receipt 1 year before and after initiative launch, adjusting for demographic and clinical covariates. Poisson regression models examined yearly changes in clinician prescribing over the same time frame. Results: Overall, 7488 patients were seen in intervention clinics (mean [SD] age, 53.3 [14.2] years; 6858 [91.6%] male; 1476 [19.7%] Black, 417 [5.6%] Hispanic; 5162 [68.9%] White; 239 [3.2%] other race [including American Indian or Alaska Native, Asian, Native Hawaiian or other Pacific Islander, and multiple races]; and 194 [2.6%] unknown) and 7558 in comparison clinics (mean [SD] age, 53.4 [14.0] years; 6943 [91.9%] male; 1463 [19.4%] Black; 405 [5.4%] Hispanic; 5196 [68.9%] White; 244 [3.2%] other race; 250 [3.3%] unknown). During the preimplementation year, the proportion of patients receiving MOUD in intervention clinics increased monthly by 5.0% (adjusted odds ratio [AOR], 1.05; 95% CI, 1.03-1.07). Accounting for this preimplementation trend, the proportion of patients receiving MOUD increased monthly by an additional 2.3% (AOR, 1.02; 95% CI, 1.00-1.04) during the implementation year. Comparison clinics increased by 2.6% monthly before implementation (AOR, 1.03; 95% CI, 1.01-1.04), with no changes detected after implementation. Although preimplementation-year trends in monthly MOUD receipt were similar in intervention and comparison clinics, greater increases were seen in intervention clinics after implementation (AOR, 1.04; 95% CI, 1.01-1.08). Patients treated with MOUD per clinician in intervention clinics saw greater increases from before to after implementation compared with comparison clinics (incidence rate ratio, 1.50; 95% CI, 1.28-1.77). Conclusions and Relevance: A multifaceted implementation initiative in nonaddiction clinics was associated with increased MOUD prescribing. Findings suggest that engagement of clinicians in general clinical settings may increase MOUD access.


Subject(s)
Health Services Accessibility/statistics & numerical data , Opiate Substitution Treatment/statistics & numerical data , Opioid-Related Disorders/drug therapy , Veterans Health Services/organization & administration , Veterans/statistics & numerical data , Aged , Cohort Studies , Female , Humans , Male , Middle Aged , Opioid-Related Disorders/epidemiology , Primary Health Care/organization & administration , United States , United States Department of Veterans Affairs
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