Community-Based Cluster-Randomized Trial to Reduce Opioid Overdose Deaths.

BACKGROUND: Evidence-based practices for reducing opioid-related overdose deaths include overdose education and naloxone distribution, the use of medications for the treatment of opioid use disorder, and prescription opioid safety. Data are needed on the effectiveness of a community-engaged intervention to reduce opioid-related overdose deaths through enhanced uptake of these practices. METHODS: In this community-level, cluster-randomized trial, we randomly assigned 67 communities in Kentucky, Massachusetts, New York, and Ohio to receive the intervention (34 communities) or a wait-list control (33 communities), stratified according to state. The trial was conducted within the context of both the coronavirus disease 2019 (Covid-19) pandemic and a national surge in the number of fentanyl-related overdose deaths. The trial groups were balanced within states according to urban or rural classification, previous overdose rate, and community population. The primary outcome was the number of opioid-related overdose deaths among community adults. RESULTS: During the comparison period from July 2021 through June 2022, the population-averaged rates of opioid-related overdose deaths were similar in the intervention group and the control group (47.2 deaths per 100,000 population vs. 51.7 per 100,000 population), for an adjusted rate ratio of 0.91 (95% confidence interval, 0.76 to 1.09; P = 0.30). The effect of the intervention on the rate of opioid-related overdose deaths did not differ appreciably according to state, urban or rural category, age, sex, or race or ethnic group. Intervention communities implemented 615 evidence-based practice strategies from the 806 strategies selected by communities (254 involving overdose education and naloxone distribution, 256 involving the use of medications for opioid use disorder, and 105 involving prescription opioid safety). Of these evidence-based practice strategies, only 235 (38%) had been initiated by the start of the comparison year. CONCLUSIONS: In this 12-month multimodal intervention trial involving community coalitions in the deployment of evidence-based practices to reduce opioid overdose deaths, death rates were similar in the intervention group and the control group in the context of the Covid-19 pandemic and the fentanyl-related overdose epidemic. (Funded by the National Institutes of Health; HCS ClinicalTrials.gov number, NCT04111939.).

Buprenorphine Prescribing Characteristics Following Relaxation of X-Waiver Training Requirements.

Importance: Local-level data are needed to understand whether the relaxation of X-waiver training requirements for prescribing buprenorphine in April 2021 translated to increased buprenorphine treatment. Objective: To assess whether relaxation of X-waiver training requirements was associated with changes in the number of clinicians waivered to and who prescribe buprenorphine for opioid use disorder and the number of patients receiving treatment. Design, Setting, and Participants: This serial cross-sectional study uses an interrupted time series analysis of 2020-2022 data from the HEALing Communities Study (HCS), a cluster-randomized, wait-list-controlled trial. Urban and rural communities in 4 states (Kentucky, Massachusetts, New York, and Ohio) with a high burden of opioid overdoses that had not yet received the HCS intervention were included. Exposure: Relaxation of X-waiver training requirements (ie, allowing training-exempt X-waivers) on April 28, 2021. Main Outcomes and Measures: The monthly number of X-waivered clinicians, X-waivered buprenorphine prescribers, and patients receiving buprenorphine were each summed across communities within a state. Segmented linear regression models to estimate pre- and post-policy change by state were used. Results: The number of individuals in 33 participating HCS communities included 347 863 in Massachusetts, 815 794 in Kentucky, 971 490 in New York, and 1 623 958 in Ohio. The distribution of age (18-35 years: range, 29.4%-32.4%; 35-54 years: range, 29.9%-32.5%; ≥55 years: range, 35.7%-39.3%) and sex (female: range, 51.1%-52.6%) was similar across communities. There was a temporal increase in the number of X-waivered clinicians in the pre-policy change period in all states, which further increased in the post-policy change period in each state except Ohio, ranging from 5.2% (95% CI, 3.1%-7.3%) in Massachusetts communities to 8.4% (95% CI, 6.5%-10.3%) in Kentucky communities. Only communities in Kentucky showed an increase in the number of X-waivered clinicians prescribing buprenorphine associated with the policy change (relative increase, 3.2%; 95% CI, 1.5%-4.9%), while communities in other states showed no change or a decrease. Similarly, only communities in Massachusetts experienced an increase in patients receiving buprenorphine associated with the policy change (relative increase, 1.7%; 95% CI, 0.8%-2.6%), while communities in other states showed no change. Conclusions and Relevance: In this serial cross-sectional study, relaxation of X-waiver training requirements was associated with an increase in the number of X-waivered clinicians but was not consistently associated with an increase in the number of buprenorphine prescribers or patients receiving buprenorphine. These findings suggest that training requirements may not be the primary barrier to expanding buprenorphine treatment.

Heavy Alcohol Use Among Women and Men Living With HIV in Uganda, Russia, and the United States.

OBJECTIVE: We examined whether gender is associated with heavy drinking in three cohorts of people living with HIV (PLWH) in Mbarara, Uganda; St. Petersburg, Russia; and Boston, Massachusetts. METHOD: We conducted secondary analyses of baseline data collected from three cohorts in the Uganda Russia Boston Alcohol Network for Alcohol Research Collaboration on HIV/AIDS (URBAN ARCH) consortium. We used multiple logistic regression models to evaluate the association between gender and heavy drinking (defined in combination with self-report and phosphatidylethanol [PEth]) within each cohort. RESULTS: In unadjusted logistic regression models, we found no significant association between gender and heavy drinking in Russia or Boston. In Uganda, women were less likely than men to engage in heavy drinking (odds ratio = 0.38, 95% CI [0.26, 0.58], p <.01). These findings were invariant to adjustment for covariates. CONCLUSIONS: We did not detect associations between gender and heavy drinking in cohorts of PLWH in Russia or Boston, suggesting that heavy drinking may be as common in women living with HIV as in men living with HIV in these locations. Although these cohorts were enriched with heavy drinking participants, which limits broad extrapolation to PLWH in those settings, nonetheless the findings are concerning given the significant morbidity associated with alcohol use among PLWH and women in particular.

Epidemiological investigation of a typhoid fever outbreak in Sekhukhune District, Limpopo province, South Africa - 2017.

BACKGROUND: Typhoid fever remains a public health concern in South Africa, where the risk of transmission is high because of poor access to safe water and sanitation. This study describes the investigation of typhoid fever outbreak in Limpopo province. METHODOLOGY: Following notification of laboratory-confirmed cases, a descriptive study was conducted at Sekhukhune District, Limpopo province. A suspected case was defined as any person residing in Makhuduthamaga Municipality from November 2017 to January 2018, presenting with fever and gastrointestinal symptoms. Data were collected using case investigation forms. Whole-genome sequencing (WGS) was carried out on Salmonella Typhi isolates and polymerase chain reaction (PCR) test was done for Salmonella species from water samples. Location of cases and water sources were mapped using ArcGIS mapping tool. RESULTS: Amongst 122 cases, 54% (n = 66) were female and 6% (n = 7) laboratory-confirmed. The median age of the cases was 11 years (range 2-83 years), with 79% (n = 102) being children under the age of 14 years. Salmonella species were detected in 37% (10/27) of water samples and geographic information system (GIS) mapping showed clustering of cases in Tswaing-Kgwaripe and Vlakplaas villages. Six isolates were available for WGS analysis, with resulting data showing that five of the six isolates were genetically related. Phylogenetic analysis showed that the five isolates clustered together were genetically related showing < 22 single nucleotide polymorphisms when compared to each other. CONCLUSION: Molecular epidemiology of isolates suggests a common source outbreak, supported by the detection of Salmonella species from water sources. Consumption of water from contaminated open water sources, because of ongoing interruption of municipal water supply, was the likely cause of the outbreak. The investigation highlights the importance of consistent safe water supply and the ability of district surveillance systems to identify and contain outbreaks.