Results indicate that MH diagnoses or symptoms are a barrier to retention in HIV care and emphasize the importance of providing MH treatment to HIV patients in need. (PsycINFO Database Record

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Purpose: Experienced homophobia-negative treatment and perceptions that gay, bisexual, and other men who have sex with men ( MSM) encounter because of their sexual orientations-may promote HIV infection among MSM. We conducted a rapid review and meta-analysis to examine experienced homophobia in relation to HIV infection risk. Methods: We searched Embase, MEDLINE, PsycINFO, and Sociological Abstracts to acquire data from U.S. studies published during 1992-2017. Studies examined experienced homophobia in relation to sexual risk behavior, poor HIV care continuum engagement, and diagnosed HIV infection. Random-effects models yielded summary odds ratios (ORs) and 95% confidence intervals (CIs). Results: Experienced homophobia was associated with having any sexual risk behavior (

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Background While overall opioid prescribing has been decreasing in the United States, the rates of prescribing at the county level have been variable. Previous studies show that social determinants of health (the social and economic conditions in which we live) may play a role in opioid prescribing; however, researchers have not examined this relationship across US counties. This cross-sectional study seeks to determine whether county-level sociodemographic characteristics (e.g., economic, housing, social environment, healthcare environment, and population characteristics) are associated with county level differences in opioid dispensing. Methods Data from 2,881 counties in the United States from 2017 to 2018 were used for this study. Opioid dispensing was measured using morphine milligram equivalents (MME) per capita. Spatial error models were used to measure the association between county-level sociodemographic characteristics and MME per capita while adjusting for spatial correlation between neighboring counties. Results In the adjusted model, counties with a higher percentage of people below the poverty line, with less than a 4-year college degree, and without health insurance were associated with higher MME dispensed per capita, as were counties with higher percentages of families headed by a single parent, persons separated or divorced, and those with disabilities. Conversely, minority race/ethnicity and rural population were associated with lower opioid dispensing. Conclusions County-level sociodemographics can differ in their association with opioid dispensing, hence examining which county-level factors help in improving opioid prescribing, and implementing overdose prevention strategies that tackle these factors is important.

Background This article summarizes the results from systematic reviews of human immunodeficiency virus (HIV) prevention interventions for people who use drugs (PWUD). We performed an overview of reviews, meta-analysis, meta-epidemiology, and PROSPERO Registration CRD42017070117. Methods We conducted a comprehensive systematic literature search using the Centers for Disease Control and Prevention HIV/AIDS Prevention Research Synthesis Project database to identify quantitative systematic reviews of HIV public heath interventions with PWUD published during 2002–2017. We recombined results of US studies across reviews to quantify effects on HIV infections, continuum of HIV care, sexual risk, and 5 drug-related outcomes (sharing injection equipment, injection frequency, opioid use, general drug use, and participation in drug treatment). We conducted summary meta-analyses separately for reviews of randomized controlled trials (RCTs) and quasi-experiments. We stratified effects by 5 intervention types: behavioral-psychosocial (BPS), syringe service programs (SSP), opioid agonist therapy (OAT), financial and scheduling incentives (FSI), and case management (CM). Results We identified 16 eligible reviews including >140 US studies with >55 000 participants. Summary effects among US studies were significant and favorable for 4 of 5 outcomes measured under RCT (eg, reduced opioid use; odds ratio [OR] = 0.70, confidence interval [CI] = 0.56–0.89) and all 6 outcomes under quasi-experiments (eg, reduced HIV infection [OR = 0.42, CI = 0.27–0.63]; favorable continuum of HIV care [OR = 0.68, CI = 0.53–0.88]). Each intervention type showed effectiveness on 1–6 outcomes. Heterogeneity was moderate to none for RCT but moderate to high for quasi-experiments. Conclusions Behavioral-psychosocial, SSP, OAT, FSI, and CM interventions are effective in reducing risk of HIV and sequelae of injection and other drug use, and they have a continuing role in addressing the opioid crisis and Ending the HIV Epidemic.

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Objective: To determine whether any combinations of state-level public health activities were necessary or sufficient to reduce prescription opioid dispensing. Design: We examined 2016-2019 annual progress reports, 2014-2019 national opioid dispensing data (IQVIA), and interview data from states to categorize activities. We used crisp-set Qualitative Comparative Analysis to determine which program activities, individually or in combination, were necessary or sufficient for a better than average decrease in morphine milligram equivalent (MME) per capita. Setting: Twenty-nine US state health departments. Participants: State health departments implementing the Centers for Disease Control and Prevention's Prevention for States (PfS) program. Main Outcome: Combinations of prevention activities related to changes in the rate of prescription opioid MME per capita dispensing from 2014 to 2019.Results: Three combinations were sufficient for greater than average state-level reductions in MME per capita: (1) expanding and improving proactive reporting in combination with enhancing the uptake of evidence-based opioid prescribing guidelines and not moving toward a real-time Prescription Drug Monitoring Program; (2) implementing or improving prescribing interventions for insurers, health systems, or pharmacy benefit managers in combination with enhancing the uptake of evidence-based opioid prescribing guidelines; and (3) not implementing or improving prescribing interventions for insurers, health systems, or pharmacy benefit managers in combination with not enhancing the uptake of evidence-based opioid prescribing guidelines. Interview data suggested that the 3 combinations indicate how state contexts and history with addressing opioid overdose shaped programming and the ability to reduce MME per capita. Conclusions: States successful in reducing opioid dispensing selected activities that built upon existing policies and interventions, which may indicate thoughtful use of resources. To maximize impact in addressing the opioid overdose epidemic, states and agencies may benefit from building on existing policies and interventions.