COVID-19 Impact on Opioid Overdose After Jail Release in Massachusetts

Introduction Release from incarceration is a high-risk period for opioid overdose. Concern about COVID-19 spread in jails led to early releases;it is unknown whether pandemic era releases of persons with opioid use disorder (OUD) contributed to increases in community overdose rates. Methods Observational data compared overdose rates three months after release among jailed persons with OUD released before (9/1/2019-3/9/2020) and during the pandemic (3/10/2020-8/10/2020) from seven jails in Massachusetts. Data on overdoses come from the Massachusetts Ambulance Trip Record Information System and Registry of Vital Records Death Certificate file. Other information came from jail administrative data. Logistic models regressed overdose on release period, controlling for MOUD received, county of release, race/ethnicity, sex, age, and prior overdose. Results Pandemic releasees with OUD had a higher risk of fatal overdose (adjusted odds ratio [aOR] 3.06;95% CI, 1.49 to 6.26);20 persons released with OUD (1.3%) experienced a fatal overdose within three months of release, versus 14 (0.5%) pre-pandemic. MOUD had no detectable relationship with overdose mortality. Pandemic release did not impact non-fatal overdose rates (aOR 0.84;95% CI 0.60 to 1.18), though in-jail methadone treatment was protective (aOR 0.34;95% CI 0.18 to 0.67). Conclusions Persons with OUD released from jail during the pandemic experienced higher overdose mortality compared to pre-pandemic, but the number of deaths was small. They did not experience significantly different rates of non-fatal overdose. Early jail releases during the pandemic were unlikely to explain much, if any, of the observed increase in community overdoses in Massachusetts.

COVID-19 impact on opioid overdose after jail release in Massachusetts.

Introduction: Release from incarceration is a high-risk period for opioid overdose. Concern about COVID-19 spread in jails led to early releases; it is unknown whether pandemic era releases of persons with opioid use disorder (OUD) contributed to increases in community overdose rates. Methods: Observational data compared overdose rates three months after release among jailed persons with OUD released before (9/1/2019-3/9/2020) and during the pandemic (3/10/2020-8/10/2020) from seven jails in Massachusetts. Data on overdoses come from the Massachusetts Ambulance Trip Record Information System and Registry of Vital Records Death Certificate file. Other information came from jail administrative data. Logistic models regressed overdose on release period, controlling for MOUD received, county of release, race/ethnicity, sex, age, and prior overdose. Results: Pandemic releases with OUD had a higher risk of fatal overdose (adjusted odds ratio [aOR] 3.06; 95% CI, 1.49 to 6.26); 20 persons released with OUD (1.3%) experienced a fatal overdose within three months of release, versus 14 (0.5%) pre-pandemic. MOUD had no detectable relationship with overdose mortality. Pandemic release did not impact non-fatal overdose rates (aOR 0.84; 95% CI 0.60 to 1.18), though in-jail methadone treatment was protective (aOR 0.34; 95% CI 0.18 to 0.67). Conclusions: Persons with OUD released from jail during the pandemic experienced higher overdose mortality compared to pre-pandemic, but the number of deaths was small. They did not experience significantly different rates of non-fatal overdose. Early jail releases during the pandemic were unlikely to explain much, if any, of the observed increase in community overdoses in Massachusetts.

Small Area Forecasting of Opioid-Related Mortality: Bayesian Spatiotemporal Dynamic Modeling Approach.

BACKGROUND: Opioid-related overdose mortality has remained at crisis levels across the United States, increasing 5-fold and worsened during the COVID-19 pandemic. The ability to provide forecasts of opioid-related mortality at granular geographical and temporal scales may help guide preemptive public health responses. Current forecasting models focus on prediction on a large geographical scale, such as states or counties, lacking the spatial granularity that local public health officials desire to guide policy decisions and resource allocation. OBJECTIVE: The overarching objective of our study was to develop Bayesian spatiotemporal dynamic models to predict opioid-related mortality counts and rates at temporally and geographically granular scales (ie, ZIP Code Tabulation Areas [ZCTAs]) for Massachusetts. METHODS: We obtained decedent data from the Massachusetts Registry of Vital Records and Statistics for 2005 through 2019. We developed Bayesian spatiotemporal dynamic models to predict opioid-related mortality across Massachusetts' 537 ZCTAs. We evaluated the prediction performance of our models using the one-year ahead approach. We investigated the potential improvement of prediction accuracy by incorporating ZCTA-level demographic and socioeconomic determinants. We identified ZCTAs with the highest predicted opioid-related mortality in terms of rates and counts and stratified them by rural and urban areas. RESULTS: Bayesian dynamic models with the full spatial and temporal dependency performed best. Inclusion of the ZCTA-level demographic and socioeconomic variables as predictors improved the prediction accuracy, but only in the model that did not account for the neighborhood-level spatial dependency of the ZCTAs. Predictions were better for urban areas than for rural areas, which were more sparsely populated. Using the best performing model and the Massachusetts opioid-related mortality data from 2005 through 2019, our models suggested a stabilizing pattern in opioid-related overdose mortality in 2020 and 2021 if there were no disruptive changes to the trends observed for 2005-2019. CONCLUSIONS: Our Bayesian spatiotemporal models focused on opioid-related overdose mortality data facilitated prediction approaches that can inform preemptive public health decision-making and resource allocation. While sparse data from rural and less populated locales typically pose special challenges in small area predictions, our dynamic Bayesian models, which maximized information borrowing across geographic areas and time points, were used to provide more accurate predictions for small areas. Such approaches can be replicated in other jurisdictions and at varying temporal and geographical levels. We encourage the formation of a modeling consortium for fatal opioid-related overdose predictions, where different modeling techniques could be ensembled to inform public health policy.

Medical mistrust, discrimination, and COVID-19 vaccine behaviors among a national sample U.S. adults.

Background: COVID-19 vaccine uptake has been suboptimal and disparities in uptake have exacerbated health inequities. It has been postulated that mistrust in the healthcare system and experiences of discrimination or unfair treatment in other settings may be barriers to uptake of the COVID-19 vaccine, although few studies to date have investigated medical mistrust and perceived discrimination together. Method: We conducted a cross-sectional online survey between April 23-May 3, 2021, among a national sample of U.S. adults ages 18 years and older. We assessed receipt of and intention to be vaccinated for COVID-19 and associations with the validated Medical Mistrust Index and Everyday Discrimination Scale. Results: 1449 individuals responded, of whom 70.2% either had ≥1 dose of COVID-19 vaccine or reported that they were 'very' or 'somewhat' likely to be vaccinated in the future. In bivariate analyses, vaccination status was significantly associated with age, race/ethnicity, education, income, employment, marital status, health insurance, and political party affiliation. In multivariable analyses comparing those who had ≥1 vaccine dose or were likely to get vaccinated in the future with those who had not had any vaccine doses or did not intend to be vaccinated, each additional point in the Medical Mistrust Index was independently associated with a 16% decrease in the odds of vaccination (adjusted odds ratio = 0.84; 95% confidence interval = 0.81, 0.86). Discriminatory experiences were not associated with vaccination behavior or intention in bivariate or multivariable analyses. Conclusions: Medical mistrust is significantly associated with vaccination status and intentions. Increasing uptake of COVID-19 vaccines will likely require substantive efforts on the part of public health and healthcare officials to build trust with those who are not yet fully vaccinated. We recommend that these efforts focus on building the 'trustworthiness' of these entities, an approach that will require a paradigm shift away from a focus on correcting individual beliefs and knowledge, to acknowledging and addressing the root causes underlying mistrust.

Experiences with and impacts of the COVID-19 pandemic by substance use disorder in the early phase of pandemic in the United States: A cross-sectional survey, 2020.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic could disproportionately affect individuals who have a substance use disorder (SUD). However, little information exists on COVID-19-related experiences among individuals with a SUD. We examined whether individuals with a SUD differ from other individuals with regard to COVID-19 testing, susceptibility, and employment-related vulnerability. METHODS: We used data from a U.S. nationally representative survey (n = 1,208). Using logistic regressions, we examined whether individuals with SUDs differ from other individuals regarding underlying health conditions, COVID-19 testing, access to paid sick leave, and loss of employment. Data were collected in late May-early June, 2020. RESULTS: Four percent of participants reported that a healthcare professional had told them they had a SUD. We found that, compared to those without SUDs, respondents with SUDs had higher odds of having lost their job due to the pandemic (adjusted odds ratio [AOR]:5.17, 95% confidence interval [CI]:2.28-11.74). Among individuals who were employed prior to the pandemic, people with SUDs had lower odds of having paid sick leave (AOR:0.26, 95% CI:0.09-0.74). CONCLUSION: Our study indicates that individuals with SUDs could be disproportionately affected by COVID-19 economically, which might worsen SUD and racial/ethnic health disparities.

Associations among political voting preference, high-risk health status, and preventative behaviors for COVID-19.

BACKGROUND: We investigate the relationships among political preferences, risk for COVID-19 complications, and complying with preventative behaviors, such as social distancing, quarantine, and vaccination, as they remain incompletely understood. Since those with underlying health conditions have the highest mortality risk, prevention strategies targeting them and their caretakers effectively can save lives. Understanding caretakers' adherence is also crucial as their behavior affects the probability of transmission and quality of care, but is understudied. Examining the degree to which adherence to prevention measures within these populations is affected by their health status vs. voting preference, a key predictor of preventative behavior in the U. S, is imperative to improve targeted public health messaging. Knowledge of these associations could inform targeted COVID-19 campaigns to improve adherence for those at risk for severe consequences. METHODS: We conducted a nationally-representative online survey of U.S. adults between May-June 2020 assessing: 1) attempts to socially-distance; 2) willingness/ability to self-quarantine; and 3) intention of COVID-19 vaccination. We estimated the relationships between 1) political preferences 2) underlying health status, and 3) being a caretaker to someone with high-risk conditions and each dependent variable. Sensitivity analyses examined the associations between political preference and dependent variables among participants with high-risk conditions and/or obesity. RESULTS: Among 908 participants, 75.2% engaged in social-distancing, 94.4% were willing/able to self-quarantine, and 60.1% intended to get vaccinated. Compared to participants intending to vote for Biden, participants who intended to vote for Trump were significantly less likely to have tried to socially-distance, self-quarantine, or intend to be vaccinated. We observed the same trends in analyses restricted to participants with underlying health conditions and their caretakers Underlying health status was independently associated with social distancing among individuals with obesity and another high-risk condition, but not other outcomes. CONCLUSION: Engagement in preventative behavior is associated with political voting preference and not individual risk of severe COVID-19 or being a caretaker of a high-risk individual. Community based strategies and public health messaging should be tailored to individuals based on political preferences especially for those with obesity and other high-risk conditions. Efforts must be accompanied by broader public policy.

Disparities in SARS-CoV-2 Vaccination-to-Infection Risk During the COVID-19 Pandemic in Massachusetts

This cohort study examines the alignment of vaccination and SARS-CoV-2 risk in Massachusetts by creating and applying a vaccination-to-infection risk ratio.

A Qualitative Study of the Role of Palliative Care During the COVID-19 Pandemic: Perceptions and Experiences Among Critical Care Clinicians, Hospital Leaders, and Spiritual Care Providers.

BACKGROUND: Palliative care offers a unique skill set in response to challenges posed by the COVID-19 pandemic, with expertise in advance care planning, symptom management, family communication, end-of-life care, and bereavement. However, few studies have explored palliative care's role during the pandemic and changes in perceptions and utilization of the specialty among health and spiritual care providers and hospital leaders. OBJECTIVE: To explore the utilization, perceptions, and understanding of palliative care among critical care clinicians, hospital leaders, and spiritual care providers during the pandemic. DESIGN: We conducted a qualitative study employing semi-structured, in-depth interviews. SETTING/PARTICIPANTS: We conducted the study at a tertiary academic medical center in Boston, Massachusetts, USA. Between August and October 2020, we interviewed 25 participants from 3 informant groups: (1) critical care physicians, (2) hospital leaders, and (3) spiritual care providers. RESULTS: Respondents recognized that palliative care's role increased in importance during the pandemic. Palliative care served as a bridge between providers, patients, and families; supported provider well-being; and contributed to hospital efficiency. The pandemic reinforced participants' positive perceptions of palliative care, increased their understanding of the scope of the specialty's practice, and inspired physicians to engage more with palliative care. Respondents indicated the need for more palliative care providers and advocated for their role in bereavement support and future pandemic response. CONCLUSION: Findings highlight evolving and increased utilization of palliative care during the pandemic, suggesting a need for greater investment in palliative care programs and for palliative care involvement in public health emergency preparedness and response.

Disparities in SARS-CoV-2 Vaccination-to-Infection Risk During the COVID-19 Pandemic in Massachusetts.

This cohort study examines the alignment of vaccination and SARS-CoV-2 risk in Massachusetts by creating and applying a vaccination-to-infection risk ratio.

Why are some people reluctant to be vaccinated for COVID-19? A cross-sectional survey among U.S. Adults in May-June 2020.

Understanding reasons for COVID-19 vaccine hesitancy is necessary to ensure maximum uptake, needed for herd immunity. We conducted a cross-sectional online survey between May 29-June 20, 2020 among a national sample of U.S. adults ages 18 years and over to assess cognitive, attitudinal and normative beliefs associated with not intending to get a COVID-19 vaccine. Of 1219 respondents, 17.7% said that they would not get a vaccine and 24.2% were unsure. In multivariable analyses controlled for gender, age, income, education, religious affiliation, health insurance coverage, and political party affiliation, those who reported that they were unwilling be vaccinated (versus those who were willing) were less likely to agree that vaccines are safe/effective (Relative Risk Ratio (RRR): 0.45, 95% confidence interval (CI): 0.31, 0.66), that everyone has a responsibility to be vaccinated (RRR: 0.39, 95% CI: 0.30, 0.52), that public authorities should be able to mandate vaccination (RRR: 0.75, 95% CI: 0.58, 0.98), and more likely to believe that if everyone else were vaccinated they would not need a vaccine (RRR: 1.36, 95% CI: 1.04, 1.78). Our results suggest that health messages should emphasize the safety and efficacy of vaccines, as well as the fact that vaccinating oneself is important, even if the level of uptake in the community is high.

Massachusetts Justice Community Opioid Innovation Network (MassJCOIN).

A major driver of the U.S. opioid crisis is limited access to effective medications for opioid use disorder (MOUD) that reduce overdose risks. Traditionally, jails and prisons in the U.S. have not initiated or maintained MOUD for incarcerated individuals with OUD prior to their return to the community, which places them at high risk for fatal overdose. A 2018 law (Chapter 208) made Massachusetts (MA) the first state to mandate that five county jails deliver all FDA-approved MOUDs (naltrexone [NTX], buprenorphine [BUP], and methadone). Chapter 208 established a 4-year pilot program to expand access to all FDA-approved forms of MOUD at five jails, with two more MA jails voluntarily joining this initiative. The law stipulates that MOUD be continued for individuals receiving it prior to detention and be initiated prior to release among sentenced individuals where appropriate. The jails must also facilitate continuation of MOUD in the community on release. The Massachusetts Justice Community Opioid Innovation Network (MassJCOIN) partnered with these seven diverse jails, the MA Department of Public Health, and community treatment providers to conduct a Type 1 hybrid effectiveness-implementation study of Chapter 208. We will: (1) Perform a longitudinal treatment outcome study among incarcerated individuals with OUD who receive NTX, BUP, methadone, or no MOUD in jail to examine postrelease MOUD initiation, engagement, and retention, as well as fatal and nonfatal opioid overdose and recidivism; (2) Conduct an implementation study to understand systemic and contextual factors that facilitate and impede delivery of MOUDs in jail and community care coordination, and strategies that optimize MOUD delivery in jail and for coordinating care with community partners; (3) Calculate the cost to the correctional system of implementing MOUD in jail, and conduct an economic evaluation from state policy-maker and societal perspectives to compare the value of MOUD prior to release from jail to no MOUD among matched controls. MassJCOIN made significant progress during its first six months until the COVID-19 pandemic began in March 2020. Participating jail sites restricted access for nonessential personnel, established other COVID-19 mitigation policies, and modified MOUD programming. MassJCOIN adapted research activities to this new reality in an effort to document and account for the impacts of COVID-19 in relation to each aim. The goal remains to produce findings with direct implications for policy and practice for OUD in criminal justice settings.

COVID-19 and People Who Use Drugs - A Commentary.

OBJECTIVE: People who use drugs (PWUD) face increased risk of exposure to COVID-19, but also elevated risk associated from injection drug use. We describe factors underlying their increased risk and identify mechanisms for reducing or minimizing rates of COVID-19 transmission and other health outcomes. METHODS: Our commentary draws upon empirical data, governmental and other reports, and field-based unpublished data from our own studies to inform our conclusion and recommendations. RESULTS: Co-morbid health conditions (eg, diabetes), structural challenges (eg, homelessness, criminal justice involvement), stigma (eg, social devaluation, discrediting), and syndemic clustering of of overdose, HCV, and HIV among PWUD are exacerbated by COVID-19. CONCLUSIONS: Beyond the many challenges all people face to remain safe and healthy during the COVID-19 pandemic, PWUD face additional barriers to remaining safe not only from COVID-19 but from negative health outcomes associated with their living environments, socioeconomic positions, and injection drug use. Collaborative efforts among governmental agencies, health providers, SSPs, CBOs, and other agencies providing services to PWUD is essential to the development of programs and services to meet the many needs of PWUD, which have been particularly accentuated during the COVID-19 pandemic.