Association between the social vulnerability index and breast, cervical, and colorectal cancer screening rates in Rhode Island.

BACKGROUND: Cancer screening is effective in reducing the burden of breast, cervical, and colorectal cancers, but not all communities have appropriate access to these services. In this study, we aimed to identify under-resourced communities by assessing the association between the Social Vulnerability Index (SVI) with screening rates for breast, cervical, and colorectal cancers in ZIP-code tabulation areas (ZCTAs) in Rhode Island. METHODS: This study leveraged deidentified health insurance claims data from HealthFacts RI, the state's all-payer claims database, to calculate screening rates for breast, cervical, and colorectal cancers using Healthcare Effectiveness Data and Information Set measures. We used spatial autoregressive Tobit models to assess the association between the SVI, its four domains, and its 15 component variables with screening rates in 2019, accounting for spatial dependencies. RESULTS: In 2019, 73.2, 65.0, and 66.1% of eligible individuals were screened for breast, cervical, and colorectal cancer, respectively. For every 1-unit increase in the SVI, screening rates for breast and colorectal cancer were lower by 0.07% (95% CI 0.01-0.08%) and 0.08% (95% CI 0.02-0.15%), respectively. With higher scores on the SVI's socioeconomic domain, screening rates for all three types of cancers were lower. CONCLUSION: The SVI, especially its socioeconomic domain, is a useful tool for identifying areas that are under-served by current efforts to expand access to screening for breast, cervical, and colorectal cancer. These areas should be prioritized for new place-based partnerships that address barriers to screening at the individual and community level.

PROVIDENT: Development and Validation of a Machine Learning Model to Predict Neighborhood-level Overdose Risk in Rhode Island.

BACKGROUND: Drug overdose persists as a leading cause of death in the United States, but resources to address it remain limited. As a result, health authorities must consider where to allocate scarce resources within their jurisdictions. Machine learning offers a strategy to identify areas with increased future overdose risk to proactively allocate overdose prevention resources. This modeling study is embedded in a randomized trial to measure the effect of proactive resource allocation on statewide overdose rates in Rhode Island (RI). METHODS: We used statewide data from RI from 2016 to 2020 to develop an ensemble machine learning model predicting neighborhood-level fatal overdose risk. Our ensemble model integrated gradient boosting machine and super learner base models in a moving window framework to make predictions in 6-month intervals. Our performance target, developed a priori with the RI Department of Health, was to identify the 20% of RI neighborhoods containing at least 40% of statewide overdose deaths, including at least one neighborhood per municipality. The model was validated after trial launch. RESULTS: Our model selected priority neighborhoods capturing 40.2% of statewide overdose deaths during the test periods and 44.1% of statewide overdose deaths during validation periods. Our ensemble outperformed the base models during the test periods and performed comparably to the best-performing base model during the validation periods. CONCLUSIONS: We demonstrated the capacity for machine learning models to predict neighborhood-level fatal overdose risk to a degree of accuracy suitable for practitioners. Jurisdictions may consider predictive modeling as a tool to guide allocation of scarce resources.

Infections Associated with Medtronic Duet External Ventricular Drains - Rhode Island Hospital, Providence, Rhode Island, January 2023-January 2024.

External ventricular drains (EVDs) are medical devices that are inserted into the ventricles of the brain to drain excess fluid, manage intracranial hypertension, monitor intracranial pressure, and administer medications. Unintentional disconnections and breaks or fractures (breaks) of EVDs or associated drainage system components can result in cerebrospinal fluid (CSF) leakage and increased risk for EVD-associated infections. After replacement of Integra Life Sciences EVD systems with Medtronic Duet EVD systems at Rhode Island Hospital in mid-September 2023, a threefold increase was observed in the prevalence of positive CSF cultures, from 2.8 per 1,000 days with an EVD in place (EVD days) during January-September 2023 to 11.4 per 1,000 EVD days during October 2023-January 2024 (rate ratio [RR] = 5.7; 95% CI = 1.5-22.0; p = 0.01) and an eightfold increase in the prevalence of infections, from 0.7 to 6.5 per 1,000 EVD days (RR = 9.8; 95% CI = 1.1-87.3; p = 0.04). An investigation by Rhode Island Hospital Infection Control during December 2023-January 2024 identified frequent reports of disconnections and breaks of the Medtronic Duet EVD system. A search of the Food and Drug Administration Manufacturer and User Facility Device Experience database identified 326 reports nationwide of disconnection and breaks of components of the Duet EVD system, including 175 during 2023. A Medical Product Safety Network report was filed. The Duet EVD product was ultimately recalled in January 2024, citing disconnections of the EVD system and reports of CSF leakage and infection. Given the widespread use of EVD systems by neurosurgery centers and the risk for EVD-associated infections, a strategy for future consideration by hospital infection prevention and control programs might be inclusion of EVD-associated infections in hospital surveillance programs to rapidly identify increases in these events and determine factors related to such infections to prevent additional infections.

Neighborhood risk and prenatal care utilization in Rhode Island, 2005-2014.

BACKGROUND: The importance of prenatal care is undeniable, as pregnant persons who receive on-time, adequate prenatal care have better maternal and infant health outcomes compared with those receiving late, less than adequate prenatal care. Previous studies assessing the relationship between neighborhood factors and maternal health outcomes have typically looked at singular neighborhood variables and their relationship with maternal health outcomes. In order to examine a greater number of place-based risk factors simultaneously, our analysis used a unique neighborhood risk index to assess the association between cumulative risk and prenatal care utilization, which no other studies have done. METHODS: Data from Rhode Island Vital Statistics for births between 2005 and 2014 were used to assess the relationship between neighborhood risk and prenatal care utilization using two established indices. We assessed neighborhood risk with an index composed of eight socioeconomic block-group variables. A multivariate logistic regression model was used to examine the association between adequate use and neighborhood risk. RESULTS: Individuals living in a high-risk neighborhood were less likely to have adequate or better prenatal care utilization according to both the APNCU Index (adjusted odds ratio [aOR] 0.91, 95% confidence interval [CI] 0.87-0.95) and the R-GINDEX (aOR 0.88, 95% CI 0.85-0.91) compared with those in low-risk neighborhoods. CONCLUSION: Understanding the impact of neighborhood-level factors on prenatal care use is a critical first step in ensuring that underserved neighborhoods are prioritized in interventions aimed at making access to prenatal care more equitable.

Overdosing in a Motor Vehicle: Examination of Human, Geographic, and Environmental Factors.

BACKGROUND: Fentanyl, a type of opioid, in impaired driving cases increased across cities in the United States. OBJECTIVES: No empirical studies have examined motor vehicle overdoses with fentanyl use. We investigated the magnitude of the motor vehicle overdose problem in Providence, RI, and the environmental, socioeconomic, and geographic conditions associated with motor vehicle overdose occurrence. METHODS: This was a retrospective observational study of emergency medical services data on all suspected opioid overdoses between January 1, 2017, and October 31, 2020. The data contain forced-choice fields, such as age and biological sex, and an open-ended narrative in which the paramedic documented clinical and situational information. The overdoses were geocoded, allowing for the extraction of sociodemographic data from the U.S. Census Bureau's American Community Survey. Seven other data sources were included in a logistic regression to understand key risk factors and spatial patterns of motor vehicle overdoses. RESULTS: Of the 1,357 opioid overdose cases in this analysis, 15.2% were defined as motor vehicle overdoses. In adjusted models, we found a 61% increase in the odds of a motor vehicle overdose involvement for men versus women, a 16.8% decrease in the odds of a motor vehicle overdose for a one-unit increase in distance to the nearest gas station, and a 10.7% decrease in the odds of a motor vehicle overdose for a one-unit increase in distance to a buprenorphine clinic. CONCLUSION: There is a need to understand the interaction between drug use in vehicles to design interventions for decreasing driving after illicit drug use.

Stress During Pregnancy Associated with Newborn Low Birth Weight: Experiences from the State of Rhode Island.

PURPOSE: Prenatal stress is a known risk for poor birth outcomes. This study specifically looked at reported stress during pregnancy and low birth weight (LBW) in Rhode Island. METHODS: Pregnancy Risk Assessment Monitoring System (PRAMS) data from 2016 to 2018 for the state of Rhode Island was utilized. Stress during most recent pregnancy was dichotomized as: 'none to minimal' and 'moderate to high.' LBW was defined as less than 2,500 g. Multivariable regression analysis was performed, accounting for complex survey design. RESULTS: In this cohort, 24% of pregnant people reported moderate to high stress leading to an adjusted odds of 1.70 (95% CI 1.43-2.03) of having a LBW newborn compared to those with none to minimal stress. Primiparity, previous preterm birth, racism, smoking history, and history of chronic medical problems were also associated with LBW newborns. CONCLUSION: We recommend screening and provision of support services for stress in all settings where pregnant people access care.

Public Health Dashboards in Overdose Prevention: The Rhode Island Approach to Public Health Data Literacy, Partnerships, and Action.

As the field of public health rises to the demands of real-time surveillance and rapid data-sharing needs in a postpandemic world, it is time to examine our approaches to the dissemination and accessibility of such data. Distinct challenges exist when working to develop a shared public health language and narratives based on data. It requires that we assess our understanding of public health data literacy, revisit our approach to communication and engagement, and continuously evaluate our impact and relevance. Key stakeholders and cocreators are critical to this process and include people with lived experience, community organizations, governmental partners, and research institutions. In this viewpoint paper, we offer an instructive approach to the tools we used, assessed, and adapted across 3 unique overdose data dashboard projects in Rhode Island, United States. We are calling this model the "Rhode Island Approach to Public Health Data Literacy, Partnerships, and Action." This approach reflects the iterative lessons learned about the improvement of data dashboards through collaboration and strong partnerships across community members, state agencies, and an academic research team. We will highlight key tools and approaches that are accessible and engaging and allow developers and stakeholders to self-assess their goals for their data dashboards and evaluate engagement with these tools by their desired audiences and users.

Association between willingness to use an overdose prevention center and probation or parole status among people who use drugs in Rhode Island.

BACKGROUND: Overdose prevention centers (OPCs) are being implemented in the United States as a strategy to reduce drug-related mortality and morbidity. Previous studies have suggested that people who use drugs (PWUD) with a history of criminal legal system (CLS) involvement (e.g. current probation/parole) are at greater risk of overdose but may also encounter significant barriers to OPC use. The objective of this study was to explore the association between willingness to use an OPC and probation/parole status in a sample of PWUD in Rhode Island. METHODS: This study utilized data from the Rhode Island Prescription and Illicit Drug Study, which enrolled adult PWUD from August 2020 to February 2023. We used Pearson's chi-square and Wilcoxon rank-sum tests to assess bivariate associations between willingness to use an OPC and probation/parole status (current/previous/never), as well as other sociodemographic and behavioral characteristics. In multivariable Poisson analyses, we examined the association between willingness to use an OPC and probation/parole status, adjusting for key sociodemographic and behavioral characteristics. RESULTS: Among 482 study participants, 67% were male, 56% identified as white, 20% identified as Hispanic/Latine, and the median age was 43 (IQR 35-53). Nearly a quarter (24%) had never been on probation/parole, 44% were not currently on probation/parole but had a lifetime history of probation and parole, and 32% were currently on probation/parole. Most participants (71%) reported willingness to use an OPC, and in both bivariate and multivariable analyses, willingness to use an OPC did not vary by probation/parole status. Crack cocaine use and lifetime non-fatal overdose were associated with greater willingness to use an OPC (all p < 0.05). CONCLUSIONS: These data demonstrate high willingness to use OPC among PWUD in Rhode Island regardless of CLS-involvement. As OPCs begin to be implemented in Rhode Island, it will be imperative to engage people with CLS-involvement and to ensure access to the OPC and protection against re-incarceration due to potential barriers, such as police surveillance of OPCs.

"I Don't Go Overboard": Perceptions of Overdose Risk and Risk Reduction Strategies among People Who Use Drugs in Rhode Island.

Background: North America experiencing an unprecedented overdose epidemic, with data estimating almost 110,000 overdose deaths occurring in 2022 in the United States (US). To address fatal overdoses in the US, community organizations and local health departments in some jurisdictions have expanded community distribution of naloxone, and increased overdose prevention education, and other harm reduction supplies and services (e.g., fentanyl test strips, drug checking programs) to reduce harm for people who use drugs (PWUD). Objectives: Understanding how PWUD manage overdose risk within the context of these expanded services is important for ensuring public health services are meeting their needs. Semi-structured qualitative interviews were conducted with 25 PWUD who were accessing harm reduction services in Rhode Island. Data were imported into NVivo where they were coded and analyzed thematically. Results: Our findings demonstrate the complexity of managing overdose risk in the context of a fentanyl drug supply. While most participants were concerned about overdosing, they sought to manage overdose risk through their own harm reduction practices (e.g., testing their drugs, going slow) and drug purchasing dynamics, even when using alone. Conclusions: Study findings point to the need to implement and scale-up community-level interventions to better support PWUD within the context of the current US overdose crisis.

Telehealth as an Effective Care Delivery Method During the COVID-19 Pandemic for the Rhode Island Behavioral Health Population.

In response to the COVID-19 pandemic, Rhode Island implemented a telehealth waiver allowing telehealth parity. This study investigated (1) if telehealth allowed for patients who seek mental health services to maintain visit frequency and (2) if subpopulations were less likely to utilize telehealth. We used descriptive statistics to analyze the change in total number of visits, in-person visits from pre-waiver to post-waiver, and a multivariate linear regression to identify relationships between demographics and telehealth utilization. Participants were able to maintain the frequency of visits during the COVID-19 pandemic. Race/ethnicity, age, gender, employment status, and housing status were all statistically significant predictors of telehealth utilization. Telehealth aids in the continuing of care when in-person visits are not a viable option. Access to telehealth is crucial during public health emergencies and aids in maintaining visit frequency. Further research should be done to evaluate subgroups who are less likely to utilize telehealth.

Differences in Substance Use and Harm Reduction Practices by Race and Ethnicity: Rhode Island Harm Reduction Surveillance System, 2021-2022.

CONTEXT: In the United States, minority populations are disproportionately affected by the overdose epidemic, have higher mortality rates, and unequal access to harm reduction and treatment services. OBJECTIVE: This analysis aims to better understand harm reduction utilization and substance use patterns among minority populations to improve overdose outreach and prevention initiatives in Rhode Island. DESIGN: The present analysis used data from the Harm Reduction Surveillance System from January 2021 to December 2022 (N = 393). Chi-square tests and multivariable regression models were used to investigate differences in substance use behaviors by race and ethnicity. SETTING: Rhode Island. PARTICIPANTS: Participants include individuals who self-reported the use of illicit drugs, currently reside in Rhode Island, and were older than 18 years. MAIN OUTCOME MEASURES: Methods of drug use and uptake of harm reduction practices. RESULTS: Among survey participants, 41% were non-Hispanic White, 57% were aged 25 to 44 years, 62% identified as male, and 95% had health insurance coverage. Most participants reported smoking as their method of drug use (90%) and harm reduction practices were underutilized by all race and ethnicity groups. Fewer non-Hispanic Black participants reported carrying naloxone compared to the other race and ethnicity groups. Non-Hispanic Black and Hispanic participants were significantly less likely to inject drugs compared with non-Hispanic White participants (adjusted odds ratio [AOR] = 0.14; 95% confidence interval [CI], 0.04-0.45) (AOR = 0.40; 95% CI, 0.18-0.90). CONCLUSIONS: Smoking was the most common self-reported method of substance administration for all participants, whereas injection was more prevalent among non-Hispanic White participants. There is a continued need for minority-led and culturally informed harm reduction and treatment services for minority populations.

Rhode Island (RI) Women's Breast Cancer Mammography Use Prior to and After Cancer Diagnosis: Linkage of RI Cancer Registry Data With RI All-Payer Claims Database.

OBJECTIVE: A limitation of the central cancer registries to examine associations between mammography use and cancer diagnosis is their lack of cancer screening history. To fill this measurement gap, Rhode Island Cancer Registry (RICR) breast cancer (BC) records were linked to Rhode Island-all-payer claims database (RI-APCD) to study Rhode Island (RI) women's regular mammography use and identify its predictors. METHODS: From the linked 2011-2019 data, we identified 4 study cohorts: (1) women who ever received mammography by Women's Cancer Screening Program (WCSP) and were diagnosed with BC ("WCSP-BC" cohort: n = 149), (2) women diagnosed with BC outside of WCSP (BC-control cohort: n = 4304), (3) women with a history of mammography use at WCSP but no BC diagnosis (n = 6513), and (4) general RI women with no BC diagnosis (n = 15 121). Logistic regressions were conducted to identify predictors of regular mammography use. RESULTS: The linkage for RI-APCD and RICR for our study had a high matching rate of 82%. Mammography use prior to BC diagnosis was not different between the WCSP-BC cohort and the BC-control cohort (58% vs 57%). Women in the BC-control cohort who had mammography in 2 years prior to their cancer diagnosis were more likely of being diagnosed at an early-stage disease. Among BC-control group, women with no anxiety/depression or with no preventive examinations were less likely of regular mammography use. Among women with no BC, a lower proportion of women with a history of screening at WCSP had regular mammography use, compared with the general RI women (38% vs 66%). CONCLUSION: RI-APCD data linkage with RICR provides excellent opportunities to examine regular mammography use among RI women and compare their outcomes to the general women population in the state. We identified opportunities for improving their mammography use. A measurement gap in the central cancer registries can be effectively reduced by utilizing statewide claims database.

Translating Predictive Analytics for Public Health Practice: A Case Study of Overdose Prevention in Rhode Island.

Prior applications of machine learning to population health have relied on conventional model assessment criteria, limiting the utility of models as decision support tools for public health practitioners. To facilitate practitioners' use of machine learning as a decision support tool for area-level intervention, we developed and applied 4 practice-based predictive model evaluation criteria (implementation capacity, preventive potential, health equity, and jurisdictional practicalities). We used a case study of overdose prevention in Rhode Island to illustrate how these criteria could inform public health practice and health equity promotion. We used Rhode Island overdose mortality records from January 2016-June 2020 (n = 1,408) and neighborhood-level US Census data. We employed 2 disparate machine learning models, Gaussian process and random forest, to illustrate the comparative utility of our criteria to guide interventions. Our models predicted 7.5%-36.4% of overdose deaths during the test period, illustrating the preventive potential of overdose interventions assuming 5%-20% statewide implementation capacities for neighborhood-level resource deployment. We describe the health equity implications of use of predictive modeling to guide interventions along the lines of urbanicity, racial/ethnic composition, and poverty. We then discuss considerations to complement predictive model evaluation criteria and inform the prevention and mitigation of spatially dynamic public health problems across the breadth of practice. This article is part of a Special Collection on Mental Health.

Neighborhood disparities and the burden of lead poisoning.

BACKGROUND: To assess the persistence of neighborhood-level lead poisoning disparities in Rhode Island. METHODS: Rhode Island Department of Health blood lead levels (BLL) collected from 2006-2019 were linked to census block group rates of poverty and housing built pre-1950. We computed multivariate logistic regression models of elevated BLLs (≥5 µg/dL and ≥10 µg/dL). RESULTS: Of the 197,384 study children, 12.9% had BLLs ≥5 µg/dL and 2.3% had BLLs ≥10 µg/dL. The proportion of children with BLL ≥ 5 µg/dL increased across quintiles of poverty and old housing. The odds ratio for highest quintiles was 1.44 (95% CI: 1.29, 1.60) and 1.92 (95% CI: 1.70, 2.17) for poverty and pre-1950 housing, respectively. A significant temporal decline was observed for BLL ≥ 5 µg/dL (2006: 20.5%, 2019: 3.6%). Disparities narrowed over the study period across quintiles of poverty and old housing with a similar trend appearing in the proportion of children with BLL ≥ 10 µg/dL. CONCLUSION: Despite tremendous progress in reducing lead exposure, substantial neighborhood disparities in lead poisoning persist. These findings provide valuable considerations for primary childhood lead exposure prevention. IMPACT: Through linkage of Rhode Island Department of Health childhood lead poisoning and census data, this study captures neighborhood-level disparities in lead poisoning from 2006-2019. This study demonstrates that the odds of lead poisoning increased in a stepwise fashion for neighborhood quintiles of poverty and housing built pre-1950. While the magnitude of lead poisoning disparities narrowed across quintiles of poverty and old housing, disparities persist. Children's exposure to sources of lead contamination continues to be an important public health concern. The burden of lead poisoning is not equally distributed among all children or communities.

Host and primary tumor factors for the development of multiple cutaneous squamous cell carcinomas among a retrospective cohort in Rhode Island.

INTRODUCTION: Risk factors for a primary cutaneous squamous cell carcinoma (CSCC) are well-established; however, the host and primary tumor risk factors for subsequent CSCC have not been fully explored. METHODS: We performed a retrospective chart review of patients diagnosed with CSCC in an academic dermatology clinic in Rhode Island from 2016-2019. Logistic regression was used to evaluate the associations between host factors and multiple CSCC and between primary tumor characteristics and the risk of subsequent CSCC. Adjusted odds ratios (aORs) and 95% CIs were calculated. RESULTS: A total of 1312 patients with CSCC diagnoses were included. Host risk factors significantly associated with multiple CSCCs included: aged >80 years (aOR, 2.18; 95% CI, 1.46-3.31); history of: solid organ transplant (aOR, 2.41; 95% CI, 1.20-4.80); skin cancer (aOR, 1.96; 95% CI, 1.52-2.54); other cancer (aOR, 1.49; 95% CI, 1.11-2.00); family history of skin cancer (aOR, 1.36; 95% CI, 1.03-1.78); and actinic keratosis (aOR, 1.52; 95% CI, 1.18-1.95). Tumor location, diameter, histologic differentiation, and treatment were not significant predictors of subsequent CSCCs. LIMITATIONS: Study patients were predominantly White and from a single institution, limiting the generalizability of results. CONCLUSIONS: Certain host characteristics were associated with the development of subsequent CSCC, which may inform clinical guidelines for follow-up.

Correlates of gambling and gambling problems among Rhode Island young adults: a cross-sectional study.

BACKGROUND: Numerous states in the USA have legalized sports betting due to recent legal decisions by the US Supreme Court. Here, sociodemographic correlates of current gambling and specific gambling activities associated with symptoms of gambling problems were identified. METHODS: Cross-sectional data were obtained from the 2020 Rhode Island Young Adult Survey (RIYAS). RIYAS participants (n = 540) were a convenience sample of 18 to 25 year olds who lived in Rhode Island for at least part of 2020. Data were collected from May to October 2020. Four gambling activities were assessed (i.e. sports betting; betting on races; gaming tables at a casino; poker machines at a casino). Logistic regression models assessed main effects. RESULTS: 22.4% engaged in one or more gambling activities. 11.5% of participants had any gambling problems. Odds of gambling activities were higher among men; Black, Indigenous, People of Color; older young adults; and essential workers. Odds of gambling problems were 2.4 times higher among participants who engaged with sports betting. CONCLUSIONS: Gambling activities are common among several population subgroups, and participation in sports betting may be a risk factor for the development of problem gambling. Comprehensive prevention policies are needed.

Predicting high-risk opioid prescriptions before they are given.

Misuse of prescription opioids is a leading cause of premature death in the United States. We use state government administrative data and machine learning methods to examine whether the risk of future opioid dependence, abuse, or poisoning can be predicted in advance of an initial opioid prescription. Our models accurately predict these outcomes and identify particular prior nonopioid prescriptions, medical history, incarceration, and demographics as strong predictors. Using our estimates, we simulate a hypothetical policy which restricts new opioid prescriptions to only those with low predicted risk. The policy's potential benefits likely outweigh costs across demographic subgroups, even for lenient definitions of "high risk." Our findings suggest new avenues for prevention using state administrative data, which could aid providers in making better, data-informed decisions when weighing the medical benefits of opioid therapy against the risks.

Multi-level influences on increased overdose risk behaviors during the COVID-19 pandemic among people who use drugs in Rhode Island: a qualitative investigation.

BACKGROUND: The ongoing COVID-19 pandemic has disproportionately affected structurally vulnerable populations including people who use drugs (PWUD). Increased overdose risk behaviors among PWUD during the pandemic have been documented, with research underscoring the role of influencing factors such as isolation and job loss in these behaviors. Here, we use qualitative methods to examine the impact of the COVID-19 pandemic and pandemic-related response measures on drug use behaviors in a sample of PWUD in Rhode Island. Using a social-ecological framework, we highlight the nested, interactive levels of the pandemic's influence on increased overdose risk behaviors. METHODS: From July to October 2021, semi-structured interviews were conducted with 18 PWUD who self-reported any increase in behaviors associated with overdose risk (e.g., increased use, change in drug type and/or more solitary drug use) relative to before the pandemic. Thematic analysis was conducted using a codebook with salient themes identified from interview guides and those that emerged through close reading of transcribed interviews. Guided by a social-ecological framework, themes were grouped into individual, network, institutional, and policy-level influences of the pandemic on drug use behaviors. RESULTS: Individual-level influences on increased overdose risk behaviors included self-reported anxiety and depression, isolation and loneliness, and boredom. Network-level influences included changes in local drug supply and changes in social network composition specific to housing. At the institutional level, drug use patterns were influenced by reduced access to harm reduction or treatment services. At the policy level, increased overdose risk behaviors were related to financial changes, job loss, and business closures. All participants identified factors influencing overdose risk behaviors that corresponded to several nested social-ecological levels. CONCLUSIONS: Participants identified multi-level influences of the COVID-19 pandemic and pandemic-related response measures on their drug use behavior patterns and overdose risk. These findings suggest that effective harm reduction during large-scale crises, such as the COVID-19 pandemic, must address several levels of influence concurrently.

The Town-Level Prevalence of Chronic Lung Conditions and Death From COVID-19 Among Older Adults in Connecticut and Rhode Island.

INTRODUCTION: As of November 2021, older adults (aged ≥65 y) accounted for 81% of all deaths from COVID-19 in the US. Chronic lung diseases increase the risk for severe COVID-19 illness and death. The aim of this research was to examine the association between town-level rates of asthma and chronic obstructive pulmonary disease (COPD) and deaths from COVID-19 in 208 towns in Connecticut and Rhode Island. METHODS: We conducted a multistep analysis to examine the association between town-level chronic lung conditions and death from COVID-19. Pairwise correlations were estimated and bivariate maps were created to assess the relationship between COVID-19 deaths per 100,000 people and 1) asthma prevalence and 2) COPD prevalence among adults aged 65 years or older. We used multiple linear regression models to examine whether chronic lung conditions and other town-level factors were associated with COVID-19 death rates in Connecticut and Rhode Island. RESULTS: Initial bivariate correlation and mapping analyses suggested positive correlations between asthma and COPD prevalence and COVID-19 death rates. However, after controlling for town-level factors associated with chronic lung conditions and COVID-19 death rates, multiple linear regression models did not support an association, but town-level factors (African American race and Hispanic ethnicity, age ≥65 y, and low educational attainment) were significant predictors of COVID-19 death rates. CONCLUSION: We found significant associations between town-level factors and COVID-19, adding to the current understanding of the impact of social determinants of health on outcomes.

Characteristics of events in which police responded to overdoses: an examination of incident reports in Rhode Island.

BACKGROUND: Narrow or non-existent Good Samaritan Law protections and harsh drug selling statutes in the USA have been shown to deter bystanders from seeking medical assistance for overdoses. Additionally, little is known about the actions that police take when responding to overdose events. The objectives of this study were to assess the prevalence and correlates of naloxone administration by police, as well as to examine overdose events where arrests were made and those in which the person who overdosed was described as combative. METHODS: We analyzed incident reports of police responding to an overdose between September 1, 2019, and August 31, 2020 (i.e., 6 months prior to and during the COVID-19 pandemic), from a city in Rhode Island. We examined characteristics of incidents, as well as individual characteristics of the person who overdosed. Correlates of police naloxone administration were assessed using Wilcoxon rank sum tests and Fisher's exact tests, and we examined incidents where arrests occurred and incidents in which the person who overdosed was described as combative descriptively. RESULTS: Among the 211 incidents in which police responded to an overdose during the study period, we found that police administered naloxone in approximately 10% of incidents. In most incidents, police were the last group of first responders to arrive on scene (59%), and most often, naloxone was administered by others (65%). Police were significantly more likely to administer naloxone when they were the first professionals to arrive, when naloxone had not been administered by others, and when the overdose occurred in public or in a vehicle. Arrests at overdose events were rarely reported (1%), and people who overdosed were rarely (1%) documented in incident reports as being 'combative.' CONCLUSIONS: Considering these findings, ideally, all jurisdictions should have sufficient first responder staffing and resources to ensure a rapid response to overdose events, with police rarely or never dispatched to respond to overdoses. However, until this ideal can be achieved, any available responders should be dispatched concurrently, with police instructed to resume patrol once other professional responders arrive on scene; additionally, warrant searches of persons on scene should be prohibited.