Characterizing opioid overdose hotspots for place-based overdose prevention and treatment interventions: A geo-spatial analysis of Rhode Island, USA.

OBJECTIVE: Examine differences in neighborhood characteristics and services between overdose hotspot and non-hotspot neighborhoods and identify neighborhood-level population factors associated with increased overdose incidence. METHODS: We conducted a population-based retrospective analysis of Rhode Island, USA residents who had a fatal or non-fatal overdose from 2016 to 2020 using an environmental scan and data from Rhode Island emergency medical services, State Unintentional Drug Overdose Reporting System, and the American Community Survey. We conducted a spatial scan via SaTScan to identify non-fatal and fatal overdose hotspots and compared the characteristics of hotspot and non-hotspot neighborhoods. We identified associations between census block group-level characteristics using a Besag-York-Mollié model specification with a conditional autoregressive spatial random effect. RESULTS: We identified 7 non-fatal and 3 fatal overdose hotspots in Rhode Island during the study period. Hotspot neighborhoods had higher proportions of Black and Latino/a residents, renter-occupied housing, vacant housing, unemployment, and cost-burdened households. A higher proportion of hotspot neighborhoods had a religious organization, a health center, or a police station. Non-fatal overdose risk increased in a dose responsive manner with increasing proportions of residents living in poverty. There was increased relative risk of non-fatal and fatal overdoses in neighborhoods with crowded housing above the mean (RR 1.19 [95 % CI 1.05, 1.34]; RR 1.21 [95 % CI 1.18, 1.38], respectively). CONCLUSION: Neighborhoods with increased prevalence of housing instability and poverty are at highest risk of overdose. The high availability of social services in overdose hotspots presents an opportunity to work with established organizations to prevent overdose deaths.

Post-incarceration outcomes of a comprehensive statewide correctional MOUD program: a retrospective cohort study.

Background: As opioid overdoses surge, medications for opioid use disorder (MOUD) remain underutilized. MOUD is rarely offered in correctional facilities although individuals involved in the criminal justice system have higher rates of OUD and mortality relative to the general population. Methods: A retrospective cohort design examined the effect of MOUD while incarcerated on 12 months post-release treatment engagement and retention, overdose mortality, and recidivism. Individuals (N = 1600) who participated in the Rhode Island Department of Corrections (RIDOC) MOUD program (the United States' first statewide program) and were released from incarceration from December 1, 2016, to December 31, 2018, were included. The sample was 72.6% Male (27.4% female) and 80.8% White (5.8% Black, 11.4% Hispanic, 2.0% another race). Findings: 56% were prescribed methadone, 43% buprenorphine, and 1% naltrexone. During incarceration, 61% were continued on MOUD from the community, 30% were inducted onto MOUD upon incarceration, and 9% were inducted pre-release. At 30 days and 12 months post-release, 73% and 86% of participants engaged in MOUD treatment, respectively, and those newly inducted had lower post-release engagement than those who continued from the community. Reincarceration rates (52%) were similar to the general RIDOC population. Twelve overdose deaths occurred during the 12-month follow-up, with only one overdose death during the first two weeks post-release. Interpretations: Implementing MOUD in correctional facilities, with seamless linkage to community care is a needed life-saving strategy. Funding: Rhode Island General Fund, the NIH of Health HEAL Initiative, the NIGMS, and the NIDA.

Long-term effect of field triage on times to endovascular treatment for emergent large vessel occlusion.

BACKGROUND: Delays to endovascular therapy (EVT) for stroke may be mitigated with direct field triage to EVT centers. We sought to compare times to treatment over a 5.5 year span between two adjacent states, one with field triage and one without, served by a single comprehensive stroke center (CSC). METHODS: During the study period, one of the two states implemented severity-based triage for suspected emergent large vessel occlusion, while in the other state, patients were transported to the closest hospital regardless of severity. We compared times to treatment and clinical outcomes between these two states. We also performed a matched pairs analysis, matching on date treated and distance from field to CSC. RESULTS: 639 patients met the inclusion criteria, 407 in State 1 (with field triage) and 232 in State 2 (without field triage). In State 1, scene to EVT decreased 6% (or 8.13 min, p=0.0004) every year but no decrease was observed for State 2 (<1%, p=0.94). Cumulatively over 5.5 years, there was a reduction of 43 min in time to EVT in State 1, but no change in State 2. Lower rates of disability were seen in State 1, both for the entire cohort (all OR 1.22, 95% CI 1.07 to 1.40, p=0.0032) and for those independent at baseline (1.36, 95% CI 1.15 to 1.59, p=0.0003). CONCLUSIONS: Comparing adjacent states over time, the implementation of severity-based field triage significantly reduced time to EVT.

Statewide Longitudinal Trends in Transmitted HIV-1 Drug Resistance in Rhode Island, USA.

BACKGROUND: HIV-1 transmitted drug resistance (TDR) remains a global challenge that can impact care, yet its comprehensive assessment is limited and heterogenous. We longitudinally characterized statewide TDR in Rhode Island. METHODS: Demographic and clinical data from treatment-naïve individuals were linked to protease, reverse transcriptase, and integrase sequences routinely obtained over 2004-2020. TDR extent, trends, impact on first-line regimens, and association with transmission networks were assessed using the Stanford Database, Mann-Kendall statistic, and phylogenetic tools. RESULTS: In 1123 individuals, TDR to any antiretroviral increased from 8% (2004) to 26% (2020), driven by non-nucleotide reverse transcriptase inhibitor (NNRTI; 5%-18%) and, to a lesser extent, nucleotide reverse transcriptase inhibitor (NRTI; 2%-8%) TDR. Dual- and triple-class TDR rates were low, and major integrase strand transfer inhibitor resistance was absent. Predicted intermediate to high resistance was in 77% of those with TDR, with differential suppression patterns. Among all individuals, 34% were in molecular clusters, some only with members with TDR who shared mutations. Among clustered individuals, people with TDR were more likely in small clusters. CONCLUSIONS: In a unique (statewide) assessment over 2004-2020, TDR increased; this was primarily, but not solely, driven by NNRTIs, impacting antiretroviral regimens. Limited TDR to multiclass regimens and pre-exposure prophylaxis are encouraging; however, surveillance and its integration with molecular epidemiology should continue in order to potentially improve care and prevention interventions.

Translating Research-Funded Mobile Produce Market Trials Into Sustained Public Health Programs : Food on the Move.

Food on the Move is an ongoing mobile produce market program in Rhode Island whose operations evolved from previous mobile market programs evaluated by 2 research studies: (1) one on Fresh to You, a prospective cohort study evaluating markets at community sites serving low-income families; and (2) one on Live Well, Viva Bien, a cluster randomized controlled trial evaluating markets and complementary nutrition interventions at public housing sites. The 2 studies spanned more than a decade and demonstrated the effect of mobile produce markets on access to, affordability of, and consumption of fruit and vegetables in low-income communities in Rhode Island. When grant funding ended in 2016, academic and community partners continued the mobile market program as Food on the Move. The Rhode Island Public Health Institute adopted the program model and developed a business plan to maximize market efficiency. To address price as a barrier to buying fruit and vegetables, the Institute implemented an innovative incentive program for purchases made with Supplemental Nutrition Assistance Program (SNAP) benefits, funded by a federal Food Insecurity Nutrition Incentive grant program. In 2018, Food on the Move sold more than $160 000 in produce at 335 markets, more than $50 000 of which came from these SNAP incentive programs. For sustained change in communities, researchers and community partners need examples of how to translate findings from research trials into public health practice. Food on the Move serves as a case study for the successful transition of community-focused research into a sustainable and scalable evidence-based program.

Preventing Overdose Using Information and Data from the Environment (PROVIDENT): protocol for a randomized, population-based, community intervention trial.

BACKGROUND AND AIMS: In light of the accelerating drug overdose epidemic in North America, new strategies are needed to identify communities most at risk to prioritize geographically the existing public health resources (e.g. street outreach, naloxone distribution efforts). We aimed to develop PROVIDENT (Preventing Overdose using Information and Data from the Environment), a machine learning-based forecasting tool to predict future overdose deaths at the census block group (i.e. neighbourhood) level. DESIGN: Randomized, population-based, community intervention trial. SETTING: Rhode Island, USA. PARTICIPANTS: All people who reside in Rhode Island during the study period may contribute data to either the model or the trial outcomes. INTERVENTION: Each of the state's 39 municipalities will be randomized to the intervention (PROVIDENT) or comparator condition. An interactive, web-based tool will be developed to visualize the PROVIDENT model predictions. Municipalities assigned to the treatment arm will receive neighbourhood risk predictions from the PROVIDENT model, and state agencies and community-based organizations will direct resources to neighbourhoods identified as high risk. Municipalities assigned to the control arm will continue to receive surveillance information and overdose prevention resources, but they will not receive neighbourhood risk predictions. MEASUREMENTS: The primary outcome is the municipal-level rate of fatal and non-fatal drug overdoses. Fatal overdoses will be defined as unintentional drug-related death; non-fatal overdoses will be defined as an emergency department visit for a suspected overdose reported through the state's syndromic surveillance system. Intervention efficacy will be assessed using Poisson or negative binomial regression to estimate incidence rate ratios comparing fatal and non-fatal overdose rates in treatment vs. control municipalities. COMMENTS: The findings will inform the utility of predictive modelling as a tool to improve public health decision-making and inform resource allocation to communities that should be prioritized for prevention, treatment, recovery and overdose rescue services.

Longitudinal typing of molecular HIV clusters in a statewide epidemic.

BACKGROUND: HIV molecular epidemiology is increasingly integrated into public health prevention. We conducted cluster typing to enhance characterization of a densely sampled statewide epidemic towards informing public health. METHODS: We identified HIV clusters, categorized them into types, and evaluated their dynamics between 2004 and 2019 in Rhode Island. We grouped sequences by diagnosis year, assessed cluster changes between paired phylogenies, t0 and t1, representing adjacent years and categorized clusters as stable (cluster in t0 phylogeny = cluster in t1 phylogeny) or unstable (cluster in t0 ≠ cluster in t1). Unstable clusters were further categorized as emerging (t1 phylogeny only) or growing (larger in t1 phylogeny). We determined proportions of each cluster type, of individuals in each cluster type, and of newly diagnosed individuals in each cluster type, and assessed trends over time. RESULTS: A total of 1727 individuals with available HIV-1 subtype B pol sequences were diagnosed in Rhode Island by 2019. Over time, stable clusters and individuals in them dominated the epidemic, increasing over time, with reciprocally decreasing unstable clusters and individuals in them. Conversely, proportions of newly diagnosed individuals in unstable clusters significantly increased. Within unstable clusters, proportions of emerging clusters and of individuals in them declined; whereas proportions of newly diagnosed individuals in growing clusters significantly increased over time. CONCLUSION: Distinct molecular cluster types were identified in the Rhode Island epidemic. Cluster dynamics demonstrated increasing stable and decreasing unstable clusters driven by growing, rather than emerging clusters, suggesting consistent in-state transmission networks. Cluster typing could inform public health beyond conventional approaches and direct interventions.

Rhode Island's Opioid Overdose Hospital Standards and Emergency Department Naloxone Distribution, Behavioral Counseling, and Referral to Treatment.

STUDY OBJECTIVE: We sought to determine the influence of the Levels of Care for Rhode Island Emergency Departments and Hospitals for Treating Overdose and Opioid Use Disorder (Levels of Care) on emergency department (ED) provision of take-home naloxone, behavioral counseling, and referral to treatment. METHODS: A retrospective analysis of Rhode Island ED visits for opioid overdose from 2017 to 2018 was performed using data from a statewide opioid overdose surveillance system. Changes in provision of take-home naloxone, behavioral counseling, and referral to treatment before and after Levels of Care implementation were assessed using interrupted time series analysis. We compared outcomes by hospital type using multivariable modified Poisson regression models with generalized estimating equation estimation to account for hospital-level variation. RESULTS: We analyzed 245 overdose visits prior to Levels of Care implementation (January to March 2017) and 1340 overdose visits after implementation (hospital certification to December 2018). After implementation, the proportion of patients offered naloxone increased on average by 13% (95% confidence interval [CI] 5.6% to 20.4%). Prior to implementation, the proportion of patients receiving behavioral counseling and treatment referral was declining. After implementation, this decline slowed and stabilized, and on average 18.6% more patients received behavioral counseling (95% CI 1.3% to 35.9%) and 23.1% more patients received referral to treatment (95% CI 2.7% to 43.5%). Multivariable analysis showed that after implementation, there was a significant increase in the likelihood of being offered naloxone at Level 1 (adjusted relative risk [aRR] 1.31 [95% CI 1.06 to 1.61]) and Level 3 (aRR 3.13 [95% CI 1.08 to 9.06]) hospitals and an increase in referrals for medication for opioid use disorder (from 2.5% to 17.8%) at Level 1 hospitals (RR 7.73 [95% CI 3.22 to 18.55]). Despite these increases, less than half of the patients treated for an opioid overdose received behavioral counseling or referral to treatment CONCLUSION: The establishment of ED policies for treatment and services after opioid overdose improved naloxone distribution, behavioral counseling, and referral to treatment at hospitals without previously established opioid overdose services. Future investigations are needed to better characterize implementation barriers and evaluate policy influence on patient outcomes.

Seroprevalence of SARS-CoV-2 Antibodies in Rhode Island From a Statewide Random Sample.

Objectives. To characterize statewide seroprevalence and point prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Rhode Island.Methods. We conducted a cross-sectional survey of randomly selected households across Rhode Island in May 2020. Antibody-based and polymerase chain reaction (PCR)-based tests for SARS-CoV-2 were offered. Hispanics/Latinos and African Americans/Blacks were oversampled to ensure adequate representation. Seroprevalence estimations accounted for test sensitivity and specificity and were compared according to age, race/ethnicity, gender, housing environment, and transportation mode.Results. Overall, 1043 individuals from 554 households were tested (1032 antibody tests, 988 PCR tests). The estimated seroprevalence of SARS-CoV-2 antibodies was 2.1% (95% credible interval [CI] = 0.6, 4.1). Seroprevalence was 7.5% (95% CI = 1.3, 17.5) among Hispanics/Latinos, 3.8% (95% CI = 0.0, 15.0) among African Americans/Blacks, and 0.8% (95% CI = 0.0, 2.4) among non-Hispanic Whites. Overall PCR-based prevalence was 1.5% (95% CI = 0.5, 3.1).Conclusions. Rhode Island had low seroprevalence relative to other settings, but seroprevalence was substantially higher among African Americans/Blacks and Hispanics/Latinos. Rhode Island sits along the highly populated northeast corridor, making our findings broadly relevant to this region of the country. Continued monitoring via population-based sampling is needed to quantify these impacts going forward.

Empirical comparison of analytical approaches for identifying molecular HIV-1 clusters.

Public health interventions guided by clustering of HIV-1 molecular sequences may be impacted by choices of analytical approaches. We identified commonly-used clustering analytical approaches, applied them to 1886 HIV-1 Rhode Island sequences from 2004-2018, and compared concordance in identifying molecular HIV-1 clusters within and between approaches. We used strict (topological support ≥ 0.95; distance 0.015 substitutions/site) and relaxed (topological support 0.80-0.95; distance 0.030-0.045 substitutions/site) thresholds to reflect different epidemiological scenarios. We found that clustering differed by method and threshold and depended more on distance than topological support thresholds. Clustering concordance analyses demonstrated some differences across analytical approaches, with RAxML having the highest (91%) mean summary percent concordance when strict thresholds were applied, and three (RAxML-, FastTree regular bootstrap- and IQ-Tree regular bootstrap-based) analytical approaches having the highest (86%) mean summary percent concordance when relaxed thresholds were applied. We conclude that different analytical approaches can yield diverse HIV-1 clustering outcomes and may need to be differentially used in diverse public health scenarios. Recognizing the variability and limitations of commonly-used methods in cluster identification is important for guiding clustering-triggered interventions to disrupt new transmissions and end the HIV epidemic.

Challenges in evaluating the use of viral sequence data to identify HIV transmission networks for public health.

Great efforts are devoted to end the HIV epidemic as it continues to have profound public health consequences in the United States and throughout the world, and new interventions and strategies are continuously needed. The use of HIV sequence data to infer transmission networks holds much promise to direct public heath interventions where they are most needed. As these new methods are being implemented, evaluating their benefits is essential. In this paper, we recognize challenges associated with such evaluation, and make the case that overcoming these challenges is key to the use of HIV sequence data in routine public health actions to disrupt HIV transmission networks.

Impact of State Regulations on Initial Opioid Prescribing Behavior in Rhode Island.

The opioid epidemic presents an urgent public health problem. Rhode Island has enacted comprehensive rules to address primary prevention of opioid overdose. This study evaluates the efficacy of those regulations in altering prescribing behavior, specifically regarding the initial prescription. Using data extracted from the Rhode Island Prescription Drug Monitoring Program (PDMP), before and after the publication of updated acute pain management regulations, we studied the rate of opioid prescribing using statistical process control (SPC) charts and found that the rate of prescribing unsafe doses of opioids, more than 30 morphine milligram equivalents (MMEs) per day or more than 20 doses to opioid naïve patients, decreased significantly.

Increased Risk of Opioid Overdose Death Following Cold Weather: A Case-Crossover Study.

BACKGROUND: The United States is in the midst of an opioid overdose crisis. Little is known about the role of environmental factors in increasing risk of fatal opioid overdose. METHODS: We conducted a case-crossover analysis of 3,275 opioid overdose deaths recorded in Connecticut and Rhode Island in 2014-2017. We compared the mean ambient temperature on the day of death, as well as average temperature up to 14 days before death, to referent periods matched on year, month, and day of week. RESULTS: Low average temperatures over the 3-7 days before death were associated with higher odds of fatal opioid overdose. Relative to 11°C, an average temperature of 0°C over the 7 days before death was associated with a 30% higher odds of death (odds ratio: 1.3; 95% confidence interval, 1.1, 1.5). CONCLUSIONS: Low average temperature may be associated with higher risk of death due to opioid overdose.

Can Statewide Emergency Department, Hospital Discharge, and Violent Death Reporting System Data Be Used to Monitor Burden of Firearm-Related Injury and Death in Rhode Island?

CONTEXT: National data on the epidemiology of firearm injuries and circumstances of firearm deaths are difficult to obtain and often are nonreliable. Since firearm injury and death rates and causes can vary substantially between states, it is critical to consider state-specific data sources. OBJECTIVE: In this study, we illustrate how states can systematically examine demographic characteristics, firearm information, type of wound, toxicology tests, precipitating circumstances, and costs to provide a comprehensive picture of firearm injuries and deaths using data sets from a single state with relatively low rates of firearm injury and death. DESIGN: Cross-sectional study. SETTING: Firearm-related injury data for the period 2005-2014 were obtained from the Rhode Island emergency department and hospital discharge data sets; death data for the same period were obtained from the Rhode Island Violent Death Reporting System. MAIN OUTCOME MEASURE: Descriptive statistics were used. Healthcare Cost and Utilization Project cost-to-charge ratios were used to convert total hospital charges to costs. RESULTS: Most firearm-related emergency department visits (55.8%) and hospital discharges (79.2%) in Rhode Island were from assaults; however, most firearm-related deaths were suicides (60.1%). The annual cost of firearm-related hospitalizations was more than $830 000. Most decedents who died because of firearms tested positive for illicit substances. Nearly a quarter (23.5%) of firearm-related homicides were due to a conflict between the decedent and suspect. More than half (59%) of firearm suicide decedents were reported to have had current mental or physical problems prior to death. CONCLUSIONS: Understanding the state-specific magnitude and patterns (who, where, factors, etc) of firearm injury and death may help inform local injury prevention efforts. States with similar data sets may want to adopt our analyses. Surveillance of firearm-related injury and death is essential. Dissemination of surveillance findings to key stakeholders is critical in improving firearm injury prevention. States that are not part of the National Violent Death Reporting System (NVDRS) could work with their other data sources to obtain a better picture of violent injuries and deaths to make the best use of resources.

Emergency Department and Hospital Care for Opioid Use Disorder: Implementation of Statewide Standards in Rhode Island, 2017-2018.

In March 2017, Rhode Island released treatment standards for care of adult patients with opioid use disorder. These standards prescribe three levels of hospital and emergency department treatment and prevention of opioid use disorder and opioid overdose and mechanisms for referral to treatment and epidemiological surveillance. By June 2018, all Rhode Island licensed acute care facilities had implemented policies meeting the standards' requirements. This policy has standardized care for opioid use disorder, enhanced opioid overdose surveillance and response, and expanded linkage to peer recovery support, naloxone, and medication for opioid use disorder.

A Nearly 50% Decrease in New HIV Diagnoses in Rhode Island from 2006-2016: Implications for Policy Development and Prevention.

In the last decade, reductions in HIV incidence have been observed across the United States. However, HIV continues to disproportionately impact gay, bisexual, and other men who have sex with men (MSM). In Rhode Island, rates of HIV diagnoses have decreased by 44% across all groups over the last decade. This success has been the result of close collaboration across multiple sectors. Different prevention approaches, including syringe exchange programs, community-based HIV testing, condom distribution, HIV care and treatment, and pre-exposure prophylaxis (PrEP) have all contributed to the decline in HIV diagnoses across the state. In 2015, Rhode Island became one of the first states to sign on to the Joint United Nations Programme on HIV/AIDS "90-90-90" campaign to end the HIV epidemic by 2030. Intensified and innovative initiatives are needed to improve progress in HIV prevention and treatment, especially in populations who are most at risk.

State Unintentional Drug Overdose Reporting Surveillance: Opioid Overdose Deaths and Characteristics in Rhode Island.

Unintentional opioid overdoses are a growing public health epidemic in the United States. Rhode Island is also faced with a challenging crisis of drug overdose deaths. The State Unintentional Drug Overdose Reporting Surveillance (SUDORS) data from the second half of 2016 were used to present opioid overdose deaths and characteristics in Rhode Island. During July-December 2016, 142 individuals died of opioid overdose in Rhode Island. People who died by opioid overdose were more likely to be 25-65 years old, male, and non-Hispanic white. The most common precipitating circumstances were substance abuse (88%), current mental health problems (43%), and physical health problems (27.5%). Over 83% of decedents had 2 or more substances attribute to causing their death, with fentanyl (71.1%) as the most common substance. Only 36.6% of decedents had naloxone administered. Fatal opioid overdose data are important for understanding this public health crisis and can guide overdose intervention efforts.