Perspectives on unhealthy alcohol use among men who have sex with men prescribed HIV pre-exposure prophylaxis: A qualitative study.

Unhealthy alcohol use is a common, often unaddressed behavior associated with increased risk for acquisition of HIV and may also be associated with decreased adherence to oral pre-exposure prophylaxis (PrEP) among gay, bisexual, and other men who have sex with men (MSM) living in the United States. To inform future alcohol-reduction interventions among individuals engaging in PrEP care, we sought to explore perspectives on alcohol use, PrEP adherence, and the acceptability of alcohol use treatment options for MSM prescribed oral formulations of PrEP in the Northeastern United States. Between February 2019 and July 2020, we conducted semi-structured interviews with 15 MSM without HIV who were prescribed PrEP and screened positive for unhealthy alcohol use with AUDIT-C ≥ 4 and were receiving care in Providence, Rhode Island or New Haven, Connecticut. Interviews were coded and analyzed using thematic analysis. Three themes emerged: 1) Consequences of fluctuations in drinking 2) Alcohol use negatively impacts health and relationships; and 3) Desire for a multimodal approach to treatment of unhealthy alcohol use. Our findings support the need to raise awareness of potential alcohol-related harms, address the spectrum of unhealthy alcohol use among MSM prescribed PrEP, and the acceptability and preferences for alcohol reduction interventions within PrEP programs.

Associations between Patient Experience and Addiction Treatment Facility Services: Results of the Addiction Treatment Locator, Assessment, and Standards Surveys.

OBJECTIVES: Patient experience and presence of evidence-based facility services are 2 dimensions of assessing quality of addiction treatment facilities. However, the relationship between these two is not well described. The objective of this study was to explore associations between patient experience measures and service offerings at addiction treatment facilities. METHODS: We used data from cross-sectional surveys of addiction treatment facilities and persons involved in treatment at corresponding facilities to identify facility services (eg, availability of medications for alcohol use disorder, assistance with obtaining social services, etc) and patient experience measures (overall facility rating, extent helped by treatment, ability to deal with daily problems after treatment), respectively. We used hierarchical multiple logistic regression to test for associations between top-box scores for each patient experience outcome and facility services. RESULTS: We analyzed 9191 patient experience surveys from 149 facilities. Assistance with obtaining social services (adjusted odds ratio [95% confidence interval], 0.43 [0.28-0.66]) was associated with lower overall treatment facility ratings. Childcare (2.00 [1.04-3.84]) was associated with top-box scores for extent helped. Availability of cognitive behavioral therapy (2.67 [1.25-5.73]) and childcare (1.77 [1.08-2.92]) were associated with top-box scores for ability to deal with daily problems after treatment. Assistance with obtaining social services (0.61 [0.41-0.90]) was associated with lower scores for ability to deal with problems after treatment. CONCLUSIONS: Few addiction treatment facility services were associated with patient experience measures. Future work should explore bridging the gap between evidence-based services and positive patient experiences.

Drive Time to Addiction Treatment Facilities Providing Contingency Management across Rural and Urban Census Tracts in 6 US States.

OBJECTIVE: We examined drive times to outpatient substance use disorder treatment providers that provide contingency management (CM) and those that integrate CM with medication for opioid use disorder (MOUD) services in 6 US states. METHODS: We completed cross-sectional geospatial analysis among census tracts in Delaware, Louisiana, Massachusetts, North Carolina, New York, and West Virginia. We excluded census tracts with a population of zero. Using data from the 2020 Shatterproof substance use treatment facility survey, our outcome was the minimum drive time in minutes from the census tract mean center of population to the nearest outpatient CM provider, outpatient CM provider with MOUD services, and federally qualified health centers (FQHC). We stratified census tracts by 2010 Rural-Urban Commuting Area codes and by state. RESULTS: The population was greater than zero in 11,719 of 11,899 census tracts. The median drive time to the nearest CM provider was 12.2 [interquartile range (IQR), 7.0-23.5) minutes and the median drive time to the nearest CM provider increased from 9.7 (IQR, 6.0-15.0) minutes in urban census tracts to 38.8 (IQR, 25.4-53.0) minutes in rural ( H = 3683, P < 0.001). The median drive time increased to the nearest CM provider with MOUD services [14.2 (IQR, 7.9-29.5) minutes, W = 18,877, P < 0.001] and decreased to the nearest FQHC [7.9 (IQR, 4.3-13.6) minutes, W = 11,555,894, P < 0.001]. CONCLUSIONS: These results suggest limited availability of CM, particularly within rural communities and for patients needing concurrent CM and MOUD treatment. Our results suggest greater adoption of CM within FQHCs could reduce urban-rural disparities in CM availability.

Availability of Specific Programs and Medications for Addiction Treatment to Vulnerable Populations: Results from the Addiction Treatment Locator, Assessment, and Standards (ATLAS) Survey.

OBJECTIVES: This study aimed to describe addiction treatment facilities by their offerings of medications for alcohol use disorder (MAUD) and/or for opioid use disorder (MOUD), and by their offering services to groups with barriers to care: uninsured and publicly insured, youth, seniors, individuals preferring to receive care in Spanish, and sexual minority individuals. METHODS: We examined addiction treatment facility survey data in 6 US states. We performed bivariate analyses comparing facilities that offered MAUD, MOUD, and both (main outcomes). We then constructed a multivariable model to identify predictors of offering MAUD, MOUD, or both, including exposures that demonstrate programming for special populations. RESULTS: Among 2474 facilities, 1228 (50%) responded between October 2019 and January 2020. Programs were offered for youth (30%), elderly (40%), Spanish-speaking (37%), and sexual minority populations (39%), with 58% providing MAUD, 67% providing MOUD, and 56% providing both. Among those providing MAUD, MOUD, or both, a majority (>60% for all exposures) offered programming to vulnerable populations. With Delaware as reference, Louisiana (adjusted odds ratio [aOR], 0.28; 95% confidence interval [CI], 0.12-0.67) and North Carolina (aOR, 0.33; 95% CI, 0.15-0.72) facilities had lesser odds of offering both MAUD and MOUD. All exposures identifying facilities offering treatment to vulnerable groups were associated with offerings of MAUD and/or MOUD except for offerings to youth; these facilities had less odds of offering MOUD (aOR, 0.31; 95% CI, 0.31-0.62). CONCLUSIONS: There are facility-level disparities in providing MAUD and MOUD by state, and facilities with youth programming have lesser odds of offering MOUD than other facilities.

Group well-child care as a facilitator of psychoeducation: pediatrics residents' perspectives.

Psychoeducation, where clinicians teach problem-solving skills in a supportive environment, can help address families' social vulnerabilities and promote well-being. Group well-child care (GWCC) may provide unique opportunities for pediatric residents to improve their skills in psychoeducation. Our aim was to characterize pediatric residents' perspectives and experiences of communication while conducting both individual well-child care and GWCC. We used a longitudinal qualitative study design to conduct 15 semistructured interviews with five pediatric residents who facilitated GWCC. Using the constant comparative method, we characterized pediatric residents' perspectives and experiences of communication while conducting both individual well-child care and GWCC. Four themes emerged. Residents perceived that GWCC (i) enabled families to honestly share their knowledge and parenting practices, (ii) allowed time and a space for families to share personal stories and scenarios, (iii) facilitated discussions of maternal health and psychosocial matters, toward which residents felt ambivalence, and (iv) fostered skills in psychoeducation that transferred to the rest of their clinical practice. When pediatric residents lead GWCC, they perceive that they can facilitate key aspects of psychoeducation, enabling them to assist families in meeting complex social needs. Residents describe that they transfer psychoeducation skills learned in GWCC to the rest of their practice.

Clinical and Sociodemographic Factors Associated with Telemedicine Engagement in an Urban Community Health Center Cohort During the COVID-19 Pandemic.

Objective: To examine chronic diseases, clinical factors, and sociodemographic characteristics associated with telemedicine utilization among a safety-net population. Materials and Methods: We conducted a retrospective cohort study of adults seeking care in an urban, multisite community health center in the Northeast United States. We included adults with ≥1 outpatient in-person visit during the pre-COVID-19 period (March 1, 2019-February 29, 2020) and ≥1 outpatient visit (in-person or telemedicine) during the COVID-19 period (March 1, 2020-February 29, 2021). Multivariable logistic regression models estimated associations between clinical and sociodemographic factors and telemedicine use, classified as "any" (≥1 visit) and "high" (≥3 visits). Results: Among 5,793 patients who met inclusion criteria, 4,687 (80.9%) had any (≥1) telemedicine visit and 1,053 (18.2%) had high (≥3) telemedicine visits during the COVID-19 period. Older age and Medicare coverage were associated with having any telemedicine use. Older and White patients were more likely to have high telemedicine use. Uninsured patients were less likely to have high telemedicine use. Patients with increased health care utilization in the pre-COVID-19 period and those with hypertension, diabetes, substance use disorders, and depression were more likely to have high telemedicine engagement. Discussion: Chronic conditions, older patients, and White patients compared with Latinx patients, were associated with high telemedicine engagement after adjusting for prior health care utilization. Conclusion: Equity-focused approaches to telemedicine clinical strategies are needed for safety-net populations. Community health centers can adopt disease-specific telemedicine strategies with high patient engagement.

Longitudinal analysis of the prevalence and correlates of heavy episodic drinking and self-reported opioid use among a national cohort of patients with HIV.

BACKGROUND: Heavy episodic drinking (HED) is a risk factor for opioid-related overdose and negatively impacts HIV disease progression. Among a national cohort of patients with HIV (PWH), we examined sociodemographic and clinical correlates of concomitant HED and self-reported opioid use. METHODS: We used data collected from 2002 through 2018 from the Veterans Aging Cohort Study, a prospective cohort including PWH in care at eight US Veterans Health Administration sites. HED was defined as consuming six or more drinks at least once in the year prior to survey collection. We examined the relationship between HED and self-reported opioid use and created a 4-level composite variable of HED and opioid use. We used multinomial logistic regression to estimate odds of reporting concomitant HED and self-reported opioid use. RESULTS: Among 3702 PWH, 1458 (39.4%) reported HED during the study period and 350 (9.5%) reported opioid use. In the multinomial model, compared to reporting neither HED nor opioid use, lifetime housing instability (adjusted odds ratio [aOR] 1.54, 95% confidence interval [CI] 1.01 to 2.35), Veterans Aging Cohort Study Index 2.0 (a measure of disease severity; aOR 1.14, 95% CI 1.02 to 1.28), depressive symptoms (aOR 2.27, 95% CI 1.42 to 3.62), past-year cigarette smoking (aOR 3.06, 95% CI 1.53 to 6.14), cannabis use (aOR 1.69, 95% CI 1.09 to 2.62), and cocaine/stimulant use (aOR 11.54, 95% CI 7.40 to 17.99) were independently associated with greater odds of concomitant HED and self-reported opioid use. Compared to having attended no college, having some college or more (aOR 0.39, 95% CI 0.26 to 0.59) was associated with lower odds of concomitant HED and self-reported opioid use. CONCLUSIONS: Among PWH, concomitant HED and self-reported opioid use are more common among individuals with depressive symptoms and substance use, structural vulnerabilities, and greater illness severity. Efforts to minimize opioid-related risk should address high-risk drinking as a modifiable risk factor for harm among these groups.

Social Determinants and COVID-19 in a Community Health Center Cohort.

Associations between social determinants of health (SDOH), demographic factors including preferred language, and SARS-CoV-2 detection are not clear. We conducted a retrospective cohort study among those seeking testing for SARS-CoV-2 at a multi-site, urban community health center. Logistic regression and exact matching methods were used to identify independent predictors of SARS-CoV-2 detection among demographic, SDOH, and neighborhood-level variables. Of 1,361 included individuals, SARS-CoV-2 was detected among 266 (19.5%). Logistic regression demonstrated that SARS-CoV-2 detection was less likely in White participants relative to Hispanic participants (adjusted odds ratio [aOR] 0.18, 95% confidence interval [CI] 0.05-0.46). and more likely in patients who prefer Spanish relative to those that prefer English (aOR 2.04, 95% CI 1.43-2.96). No observed SDOH predicted SARS-CoV-2 detection in adjusted models. A robustness analysis using a matched subset of the study sample produced findings similar to those in the main analysis. Preferring to receive care in Spanish is an independent predictor of SARS-CoV-2 detection in a community health center cohort.

Demographic and Clinical Correlates of the Cost of Potentially Preventable Hospital Encounters in a Community Health Center Cohort.

This study sought to describe the cost of hospital care for ambulatory care-sensitive conditions (ACSCs) and to identify independent predictors of high-cost hospital encounters related to an ACSC among an urban community health center cohort. The authors conducted a retrospective cohort study of individuals engaged in care in a large, multisite community health center in New Haven, Connecticut, with any Medicaid claims between June 1, 2018 and March 31, 2020. Prevention Quality Indicators of the Agency for Healthcare Research and Quality were used to identify ACSCs. The primary outcome was a high-cost episode of care for an ACSC (in the top quartile within a 7-day period). Multivariable logistic regression was used to identify independent predictors of high-cost episodes by ACSCs among sociodemographic and clinical variables as covariates. Among 8019 included individuals, a total of 751 episodes of hospital care involving ACSCs were identified. The median episode cost was $793, with the highest median cost of care related to heart failure ($4992), followed by diabetes ($1162), and chronic obstructive pulmonary disease ($1141). In adjusted analyses, male gender (P < 0.01), increasing age (P = 0.02), and ACSC type (P < 0.01) were associated with higher costs of care; race/ethnicity was not. Community health centers in urban settings seeking to reduce the cost of care of potentially preventable hospitalizations may target disease-/condition-specific groups, particularly individuals of increasing age with congestive heart failure and diabetes mellitus. These findings may inform return-on-investment calculations for care coordination and other enabling services programming.

Sociodemographic and clinical correlates of gabapentin receipt with and without opioids among a national cohort of patients with HIV.

Gabapentin is commonly prescribed for chronic pain, including to patients with HIV (PWH). There is growing concern regarding gabapentin's potential for harm, particularly in combination with opioids. Among PWH, we examined factors associated with higher doses of gabapentin receipt and determined if receipt varied by opioid use. We examined data from the Veterans Aging Cohort Study, a national prospective cohort including PWH, from 2002 through 2017. Covariates included prescribed opioid dose, self-reported past year opioid use, and other sociodemographic and clinical variables. We used multinomial logistic regression to determine independent predictors of gabapentin receipt. Among 3,702 PWH, 902 (24%) received any gabapentin during the study period at a mean daily dose of 1,469 mg. In the multinomial model, high-dose gabapentin receipt was associated with high-dose benzodiazepine receipt (adjusted odds ratio [aOR], 95% confidence interval [CI]= 1.53, [1.03-2.27]), pain interference (1.65 [1.39-1.95]), and hand or foot pain (1.81, [1.45-2.26]). High-dose gabapentin receipt was associated with prescribed high-dose opioids receipt (2.66 [1.95-3.62]) but not self-reported opioid use (1.03 [0.89-1.21]). PWH prescribed gabapentin at higher doses are more likely to receive high-dose opioids and high-dose benzodiazepines, raising safety concerns.

Twelve-Month Retention in Opioid Agonist Treatment for Opioid Use Disorder Among Patients With and Without HIV.

Although opioid agonist therapy (OAT) is associated with positive health outcomes, including improved HIV management, long-term retention in OAT remains low among patients with opioid use disorder (OUD). Using data from the Veterans Aging Cohort Study (VACS), we identify variables independently associated with OAT retention overall and by HIV status. Among 7,334 patients with OUD, 13.7% initiated OAT, and 27.8% were retained 12-months later. Likelihood of initiation and retention did not vary by HIV status. Variables associated with improved likelihood of retention included receiving buprenorphine (relative to methadone), receiving both buprenorphine and methadone at some point over the 12-month period, or diagnosis of HCV. History of homelessness was associated with a lower likelihood of retention. Predictors of retention were largely distinct between patients with HIV and patients without HIV. Findings highlight the need for clinical, systems, and research initiatives to better understand and improve OAT retention.

Readiness to Provide Medications for Addiction Treatment in HIV Clinics: A Multisite Mixed-Methods Formative Evaluation.

BACKGROUND: We sought to characterize readiness, barriers to, and facilitators of providing medications for addiction treatment (MAT) in HIV clinics. SETTING: Four HIV clinics in the northeastern United States. METHODS: Mixed-methods formative evaluation conducted June 2017-February 2019. Surveys assessed readiness [visual analog scale, less ready (0-<7) vs. more ready (≥7-10)]; evidence and context ratings for MAT provision; and preferred addiction treatment model. A subset (n = 37) participated in focus groups. RESULTS: Among 71 survey respondents (48% prescribers), the proportion more ready to provide addiction treatment medications varied across substances [tobacco (76%), opioid (61%), and alcohol (49%) treatment medications (P values < 0.05)]. Evidence subscale scores were higher for those more ready to provide tobacco [median (interquartile range) = 4.0 (4.0, 5.0) vs. 4.0 (3.0, 4.0), P = 0.008] treatment medications, but not significantly different for opioid [5.0 (4.0, 5.0) vs. 4.0 (4.0, 5.0), P = 0.11] and alcohol [4.0 (3.0, 5.0) vs. 4.0 (3.0, 4.0), P = 0.42] treatment medications. Median context subscale scores ranged from 3.3 to 4.0 and generally did not vary by readiness status (P values > 0.05). Most favored integrating MAT into HIV care but preferred models differed across substances. Barriers to MAT included identification of treatment-eligible patients, variable experiences with MAT and perceived medication complexity, perceived need for robust behavioral services, and inconsistent availability of on-site specialists. Facilitators included knowledge of adverse health consequences of opioid and tobacco use, local champions, focus on quality improvement, and multidisciplinary teamwork. CONCLUSIONS: Efforts to implement MAT in HIV clinics should address both gaps in perspectives regarding the evidence for MAT and contextual factors and may require substance-specific models.

Long-term Patterns of Self-reported Opioid Use, VACS Index, and Mortality Among People with HIV Engaged in Care.

Longitudinal analyses of opioid use and overall disease severity among people with HIV (PWH) are lacking. We used joint-trajectory and Cox proportional hazard modeling to examine the relationship between self-reported opioid use and the Veterans Aging Cohort Study (VACS) Index 2.0, a validated measure of disease severity and mortality, among PWH engaged in care. Using data from 2002 and 2018, trajectory modeling classified 20% of 3658 PWH in low (i.e., lower risk of mortality), 40% in moderate, 28% in high, and 12% in extremely high VACS Index trajectories. Compared to those with moderate VACS Index trajectory, PWH with an extremely high trajectory were more likely to have high, then de-escalating opioid use (adjusted odds ratio [AOR], 95% confidence interval [CI] 5·17 [3·19-8·37]) versus stable, infrequent use. PWH who report high frequency opioid use have increased disease severity and mortality risk over time, even when frequency of opioid use de-escalates.

Addressing Unhealthy Alcohol Use and the HIV Pre-exposure Prophylaxis Care Continuum in Primary Care: A Scoping Review.

Individuals with unhealthy alcohol use are at increased risk for HIV acquisition and may benefit from receiving HIV pre-exposure prophylaxis (PrEP) in primary care settings. To date, literature synthesizing what is known about the impact of unhealthy alcohol use on the PrEP care continuum with a focus on considerations for primary care is lacking. We searched OVID Medline and Web of Science from inception through March 19, 2020, to examine the extent, range, and nature of research on PrEP delivery among individuals with unhealthy alcohol use in primary care settings. We identified barriers and opportunities at each step along the PrEP care continuum, including for specific populations: adolescents, people who inject drugs, sex workers, and transgender persons. Future research should focus on identification of candidate patients, opportunities for patient engagement in novel settings, PrEP implementation strategies, and stigma reduction.

RESUMEN: Indivíduos con dificultades con el uso del alcohol tienen un alto riesgo de contraer VIH y podrían beneficiarse de recibir profilaxis preexposición (PrEP) de VIH en centros de cuidado primario. Hasta este momento, la literatura que sintetiza lo conocido sobre el impacto de las dificultades con el uso del alcohol en el contínuo del cuidado de PrEP, con un enfoque en los centros de cuidado primario, no es suficiente. Buscamos OVID Medline y Web of Science desde sus principios hasta el 19 de marzo, 2020, para examinar el alcance, el rango, y la naturaleza de la investigación sobre el uso de PrEP en los indivíduos con dificultades con el uso del alcohol en centros del cuidado primario. Identificamos las barreras y las oportunidades en cada paso en el contínuo del cuidado de PrEP, incluyendo para grupos específicos: adolescentes, personas que se inyectan drogas, trabajadores sexuales y personas transgéneros. Futuras investigaciones deben enfocarse en la identificación de pacientes apropriados, oportunidades para atraer la atención de los pacientes en sitios inovadores, para implementar PrEP, y para reducir el estigma.

Screening for Social Determinants of Health Among Children: Patients' Preferences for Receiving Information to Meet Social Needs and a Comparison of Screening Instruments.

To characterize optimal strategies for screening for social determinants of health (SDOH) among children, the authors performed a cross-sectional study of parents and adolescents ages ≥13 years in a community health center. Participants were queried about how they prefer to receive information about social needs resources and 2 screening instruments were compared: Well Child Care, Evaluation, Community Resources, Advocacy, Referral, Education (WE CARE) and Accountable Health Communities (AHC). In July 2019, 154 parents and 21 adolescents were surveyed. Surveys were administered via tablet and required 5.6 minutes (standard deviation [SD] 3.9 minutes) for parents and 3.9 minutes (SD 1.4 minutes) for adolescents to complete. Parents identified technology (text message, email) and informational printouts as preferred mechanisms for information receipt (58% and 32% of participants, respectively); adolescents preferred text message (57%) and printouts (19%). Few (<10% overall) preferred in-person consultation with a care coordinator. Adolescent/parent pairs (n = 19 pairs) agreed, on average across SDOH, 82% of the time for WE CARE and 85% for AHC. AHC elicited more positive screens than WE CARE for housing insecurity (12% of parents versus 7%) and food insecurity (47% versus 16%) but fewer positive screens than WE CARE for difficulties paying for utilities (27% versus 39%). Routine screening for SDOH in children requires 2-3 minutes per screening instrument. Screening can target parents of young children and either adolescents themselves or their parents. Families prefer to receive information about meeting social needs via technologically-based methods as opposed to in-person consultation with enabling services providers.

Construction of a Pediatrics Risk Score to Predict High Health Care Costs Among a Community Health Center Cohort.

Risk-stratification strategies are needed for ambulatory pediatric populations. The authors sought to develop age-specific risk scores that predict high health care costs among an urban population. A retrospective cohort study was performed of children ages 1-18 years who received care at Fair Haven Community Health Care (FHCHC), a community health center in New Haven, Connecticut. Cost was estimated from charges in the electronic health record (EHR), which is shared with the only hospital system in the city. Using multivariable logistic regression models, independent predictors of being in the top decile of total charges during the 2017 calendar year were identified, drawing from covariates collected from the EHR prior to 2017. Random forest modeling was used to verify the feature importance of significant covariates and model performance from 2017 cost data were compared to those using 2018 cost data. Regression models were used to construct age-specific nomograms to predict cost. Among 8960 children who received care at FHCHC in the 18 months prior to 2017, covariate frequencies clustered in age groups 1-5 years, 6-11 years, and 12-18 years, so 3 age-specific models were constructed. Prior utilization variables predicted future costs, as did younger children who received specialty care and older children with behavioral health diagnoses. Final models for each age group had C statistics ≥0.68 using both 2017 and 2018 cost data. Prediction models can draw from elements accessible in the EHR to predict cost of ambulatory pediatric patients. Strategies to impact utilization among high-risk children are needed.

Inpatient adoption of medications for alcohol use disorder: A mixed-methods formative evaluation involving key stakeholders.

BACKGROUND: Although the inpatient setting presents an important opportunity for medications for alcohol use disorder (MAUD) adoption, this infrequently occurs. We aimed to develop a comprehensive understanding of barriers and facilitators of inpatient MAUD adoption. METHODS: A convergent mixed-method study conducted from April to September 2018 of non-prescribing (registered nurse, pharmacist, and social work) and prescribing (physician or advanced practice provider hospitalist, general internist, and psychiatrist) professionals at a large urban academic medical center. Survey assessed organizational readiness to adopt MAUD and focus groups guided by the Consolidated Framework for Implementation Research (CFIR) analyzed using directed content analysis. RESULTS: Fifty-seven participants completed surveys and one of seven focus groups. Health professionals perceived clinical evidence (mean 4.0, 95 % confidence interval [CI]: 3.9, 4.2) as supportive and patient preferences (mean 3.4, 95 % CI: 3.2, 3.6) and availability of resources (mean 3.1, 95 % CI: 2.8, 3.3) as less supportive of MAUD adoption. Stakeholders identified barriers across CFIR constructs; 1) Intervention characteristics: limited knowledge of MAUD effectiveness and concerns about side effects, 2) Outer setting: perceived patient vulnerability to care interruptions and a lack of external incentives, 3) Inner setting: a lack of organizational prioritization, and 4) Characteristics of individuals: stigma of people with AUD. Facilitators included: 1) Intervention characteristics: adaptation of workflows and 2) Characteristics of individuals: harm reduction as treatment goal. CONCLUSIONS: This study identified multiple intersecting barriers and facilitators of inpatient MAUD adoption. Implementation interventions should prioritize strategies that increase health professional knowledge of MAUD and organizational prioritization of treating AUD.