Of the first five US states with food waste bans, Massachusetts alone has reduced landfill waste.

Diverting food waste from landfills is crucial to reduce emissions and meet Paris Agreement targets. Between 2014 and 2024, nine US states banned commercial waste generators-such as grocery chains-from landfilling food waste, expecting a 10 to 15% waste reduction. However, no evaluation of these bans exists. We compile a comprehensive waste dataset covering 36 US states between 1996 and 2019 to evaluate the first five implemented state-level bans. Contrary to policy-makers' expectations, we can reject aggregate waste reductions higher than 3.2%, and we cannot reject a zero-null aggregate effect. Moreover, we cannot reject a zero-null effect for any other state except Massachusetts, which gradually achieved a 13.2% reduction. Our findings reveal the need to reassess food waste bans using Massachusetts as a benchmark for success.

Perceived Discrimination Among Food Pantry Clients in Massachusetts.

Introduction: Food insecurity is defined as inconsistent access to enough food to meet nutritional needs. Discrimination is associated with food insecurity and poor health, especially among racial and ethnic minoritized and sexual or gender minoritized groups. We examined the demographic associations of perceived everyday discrimination and food pantry discrimination in Massachusetts. Methods: From December 2021 through February 2022, The Greater Boston Food Bank conducted a cross-sectional, statewide survey of Massachusetts adults. Of the 3,085 respondents, 702 were food pantry clients for whom complete data on food security were available; we analyzed data from this subset of respondents. We used the validated 10-item Everyday Discrimination Scale to measure perceived everyday discrimination and a 10-item modified version of the Everyday Discrimination Scale to measure perceived discrimination at food pantries. Logistic regression adjusted for race and ethnicity, age, gender identity, sexual orientation, having children in the household, annual household income, and household size assessed demographic associations of perceived everyday discrimination and discrimination at food pantries. Results: Food pantry clients identifying as LGBTQ+ were more likely than those identifying as non-LGBTQ+ to report perceived everyday discrimination (adjusted odds ratio [AOR] = 2.44; 95% CI, 1.24-4.79). Clients identifying as Hispanic (AOR = 1.83, 95% CI, 1.13-2.96) were more likely than clients identifying as non-Hispanic White to report perceived discrimination at food pantries. Conclusion: To equitably reach and serve households with food insecurity, food banks and pantries need to understand experiences of discrimination and unconscious bias to develop programs, policies, and practices to address discrimination and create more inclusive interventions for food assistance.

Projected Cost Savings of a Community Health Worker Model for Asthma Home Visits in the Massachusetts Pediatric Medicaid Population.

Introduction: The community health worker-led asthma home visiting model (CHW model) improved asthma outcomes and reduced health care costs among Massachusetts children with asthma. We projected cost savings associated with the expansion of the CHW model among pediatric Massachusetts Medicaid (MassHealth)-eligible patients with uncontrolled asthma (≥2 asthma-related emergency department visits per year). Methods: We estimated 2019 costs associated with asthma-related hospitalizations and emergency department visits for MassHealth pediatric patients with uncontrolled asthma who also had 365 days of Medicaid eligibility in 2019. We based estimated cost savings on previously published results from a study of a comparable patient population. Results: The projected asthma-related cost savings from expansion of the CHW model were $566.58 per patient, or $774,514.86 total, for the 1,367 MassHealth-eligible children with uncontrolled asthma in our analysis. Conclusion: Expansion of the CHW model is an effective way to increase asthma services and reduce Medicaid costs for MassHealth patients, a population made up disproportionately of Black and Hispanic residents with low incomes.

Perceptions of extended-release buprenorphine among people who received medication for opioid use disorder in jail: a qualitative study.

BACKGROUND: Incarceration provides an opportunity for health interventions, including opioid use disorder (OUD) treatment and prevention of opioid-related overdoses post-release. All FDA-approved forms of medication for OUD (MOUD) treatment were mandated in several Massachusetts jails in 2019, with some jails offering extended-release buprenorphine (XR-Bup). Little is known about patient perspectives on and experiences with XR-Bup in carceral settings. METHODS: We conducted semi-structured interviews in 2022 with community-dwelling people who received MOUD during a recent incarceration in a Massachusetts jail. We asked participants about their experiences with and perspectives on XR-Bup while in jail. Qualitative data were double-coded deductively and reviewed inductively to identify emergent themes, which were structured using the Theoretical Framework of Acceptability (TFA). RESULTS: Participants (n = 38) had a mean age of 41.5 years, were 86% male, 84% White, 24% Hispanic, and 95% continued to receive MOUD at the time of their interview, including 11% receiving XR-Bup. Participants who viewed XR-Bup favorably appreciated avoiding the taste of sublingual buprenorphine; avoiding procedural difficulties and indignities associated with daily dosing in carceral settings (e.g., mouth checks, stigmatizing treatment from correctional staff); avoiding daily reminders of their addiction; experiencing less withdrawal; having extra time for other activities, such as work; and reduction of diversion of MOUD within the jail setting. Participants who viewed XR-Bup less favorably preferred to maintain their daily dosing routine; liked daily time out of their housing unit; wanted to know what was "going into my body everyday"; and feared needles and adverse events. Participants also reported that jail clinicians used XR-Bup for patients who were previously caught diverting sublingual buprenorphine, suggesting limited patient participation in decision-making around XR-Bup initiation in some jails. CONCLUSION: People who received MOUD in Massachusetts jails had both favorable and unfavorable views and experiences with XR-Bup. Understanding these preferences can inform protocols in jails that are considering implementation of XR-Bup treatment.

Neighborhood Child Opportunity and Preterm Birth Rates by Race and Ethnicity.

Importance: In the US, infants born to non-Hispanic Black birthing parents are 50% more likely to be born preterm than those born to non-Hispanic White birthing parents, and individual-level factors do not fully account for this inequity. Neighborhood context, rooted in historic patterns of structural racism, may facilitate understanding patterns of inequity in preterm birth. Objective: To estimate the association between neighborhood opportunity level, measured by the Child Opportunity Index (COI), and preterm birth among infants in Massachusetts. Design, Setting, and Participants: In this cross-sectional, population-based study, Massachusetts birth certificates from 3 large metropolitan areas (Boston, Springfield, and Worcester) were linked to US Census tract-level data from the COI, and log binomial regression models and generalized estimating equations were fit to examine associations of different levels of opportunity with preterm birth. Singleton infants born in Massachusetts between February 1, 2011, and December 31, 2015, were included. Analyses were originally conducted in 2019 and updated in 2024. Exposure: Level of child opportunity (measured by the COI) at the US Census tract level. Race and ethnicity were ascertained from the birth certificate, as reported by the birthing parent. Main Outcomes and Measures: Live birth before 37 completed weeks' gestation. Results: The analytic dataset included 267 553 infants, of whom 18.9% were born to Hispanic, 10.1% to non-Hispanic Asian or Pacific Islander, 10.1% to non-Hispanic Black, and 61.0% to non-Hispanic White birthing parents. More than half of infants born to non-Hispanic Black and Hispanic birthing parents were born into very low opportunity neighborhoods, and in crude models, this was associated with greater prevalence of preterm birth relative to very high opportunity neighborhoods (prevalence ratio, 1.44; 95% CI, 1.37-1.52). After adjustment for covariates, infants born into very low opportunity neighborhoods still had a greater prevalence of preterm birth (prevalence ratio, 1.16; 95% CI, 1.10-1.23). Conclusions and Relevance: In this cross-sectional study of neighborhood opportunity and preterm birth, elevated risk associated with exposure to a very low opportunity neighborhood, coupled with the disproportionate exposure by race and ethnicity, points to a modifiable factor that may contribute to racial and ethnic inequities in preterm birth. Future research should investigate interventions that seek to address neighborhood opportunity.

HEALTH ASSESSMENT OF SPOTTED (CLEMMYS GUTTATA) AND PAINTED (CHRYSEMYS PICTA) TURTLES IN CAPE COD, MASSACHUSETTS, U.S.A, WITH DETECTION OF A NOVEL ADENOVIRUS.

Freshwater turtles face numerous anthropogenic threats worldwide. Health assessments are a key component of chelonian population assessment and monitoring but are under reported in many species. The purpose of this study was to characterize the health of spotted turtles (Clemmys guttata; n = 30) and painted turtles (Chrysemys picta; n = 24) at Camp Edwards, a military base in Cape Cod, Massachusetts, using physical examinations, hematology, plasma heavy metal analyses, and pathogen surveillance via PCR. Spotted turtles had a high prevalence of carapace (n = 27, 90%) and plastron (n = 14, 46.7%) lesions, and a previously undescribed adenovirus was detected in three animals (proposed as Clemmys adenovirus-1). Female painted turtles had lower plasma copper (p = 0.012) and higher strontium (p = 0.0003) than males, and appeared to be in a similar plane of health to previous reports. This initial health assessment effort provides useful baseline data for future comparison in these species. Conservation efforts on Camp Edwards should incorporate continued health surveillance of these populations to identify intervention opportunities and determine the conservation threats, if any, of the novel adenovirus.

Massachusetts Medicaid ACO Program May Have Improved Care Use And Quality For Pregnant And Postpartum Enrollees.

Value-based care models, such as Medicaid accountable care organizations (ACOs), have the potential to improve access to and quality of care for pregnant and postpartum Medicaid enrollees. We leveraged a natural experiment in Massachusetts to evaluate the effects of Medicaid ACOs on quality-of-care-sensitive measures and care use across the prenatal, delivery, and postpartum periods. Using all-payer claims data on Medicaid-covered live deliveries in Massachusetts, we used a difference-in-differences approach to compare measures before (the first quarter of 2016 through the fourth quarter of 2017) and after (the third quarter of 2018 through the fourth quarter of 2020) Medicaid ACO implementation among ACO and non-ACO patients. After three years of implementation, the Medicaid ACO was associated with statistically significant increases in the probability of a timely postpartum visit, postpartum depression screening, and number of all-cause office visits in the prenatal and postpartum periods, with no changes in severe maternal morbidity, preterm birth, postpartum glucose screening, or prenatal or postpartum emergency department visits. Changes in cesarean deliveries were inconclusive. Results suggest that implementing Medicaid ACOs in the thirty-eight states without them could improve maternal health care outpatient engagement, but alone it may be insufficient to improve maternal health outcomes.

A GPT-based EHR modeling system for unsupervised novel disease detection.

OBJECTIVE: To develop an Artificial Intelligence (AI)-based anomaly detection model as a complement of an "astute physician" in detecting novel disease cases in a hospital and preventing emerging outbreaks. METHODS: Data included hospitalized patients (n = 120,714) at a safety-net hospital in Massachusetts. A novel Generative Pre-trained Transformer (GPT)-based clinical anomaly detection system was designed and further trained using Empirical Risk Minimization (ERM), which can model a hospitalized patient's Electronic Health Records (EHR) and detect atypical patients. Methods and performance metrics, similar to the ones behind the recent Large Language Models (LLMs), were leveraged to capture the dynamic evolution of the patient's clinical variables and compute an Out-Of-Distribution (OOD) anomaly score. RESULTS: In a completely unsupervised setting, hospitalizations for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection could have been predicted by our GPT model at the beginning of the COVID-19 pandemic, with an Area Under the Receiver Operating Characteristic Curve (AUC) of 92.2 %, using 31 extracted clinical variables and a 3-day detection window. Our GPT achieves individual patient-level anomaly detection and mortality prediction AUC of 78.3 % and 94.7 %, outperforming traditional linear models by 6.6 % and 9 %, respectively. Different types of clinical trajectories of a SARS-CoV-2 infection are captured by our model to make interpretable detections, while a trend of over-pessimistic outcome prediction yields a more effective detection pathway. Furthermore, our comprehensive GPT model can potentially assist clinicians with forecasting patient clinical variables and developing personalized treatment plans. CONCLUSION: This study demonstrates that an emerging outbreak can be accurately detected within a hospital, by using a GPT to model patient EHR time sequences and labeling them as anomalous when actual outcomes are not supported by the model. Such a GPT is also a comprehensive model with the functionality of generating future patient clinical variables, which can potentially assist clinicians in developing personalized treatment plans.

Microplastic abundance and accumulation patterns in eelgrass (Zostera marina L.) meadows throughout coastal Massachusetts, USA.

Microplastics are fast-emerging as another potential threat to already globally declining seagrass ecosystems, but there is a paucity of in situ surveys showing their accumulations. Here, we surveyed multiple Zostera marina L. meadows in 2020 and 2021 across Massachusetts, USA, for microplastic contamination, as well as identified factors related to patterns of accumulation. We found that microplastics were ubiquitous throughout all sites regardless of proximity to human development, with fibers being the most common microplastic type. In addition, we showed that accumulation of microplastics within seagrass meadows was related to epiphytic cover on leaves, plant morphology, and bulk-density in sediments. The results of this study provide the first in situ baseline microplastic concentrations on Z. marina plants and sediments for the temperate western North Atlantic. Additionally, we identify specific biotic and abiotic factors related to patterns of microplastic accumulation in these ecosystems.

Long COVID impacts: the voices and views of diverse Black and Latinx residents in Massachusetts.

OBJECTIVE: To understand how Long COVID is impacting the health and social conditions of the Black and Latinx communities. BACKGROUND: Emerging research on Long COVID has identified three distinct characteristics, including multi-organ damage, persistent symptoms, and post-hospitalization complications. Given Black and Latinx communities experienced significantly higher COVID rates in the first phase of the pandemic they may be disproportionately impacted by Long COVID. METHODS: Eleven focus groups were conducted in four languages with diverse Black and Latinx individuals (n = 99) experiencing prolonged symptoms of COVID-19 or caring for family members with prolonged COVID-19 symptoms. Data was analyzed thematically. RESULTS: Most participants in non-English language groups reported they were unfamiliar with the diagnosis of long COVID, despite experiencing symptoms. Long COVID impacts spanned financial and housing stability to physical and mental health impacts. Participants reported challenging encounters with health care providers, a lack of support managing symptoms and difficulty performing activities of daily living including work. CONCLUSIONS: There is a need for multilingual, accessible information about Long COVID symptoms, improved outreach and healthcare delivery, and increased ease of enrollment in long-term disability and economic support programs.

The association between intraoperative low driving pressure ventilation and perioperative healthcare-associated costs: A retrospective multicenter cohort study.

STUDY OBJECTIVE: A low dynamic driving pressure during mechanical ventilation for general anesthesia has been associated with a lower risk of postoperative respiratory complications (PRC), a key driver of healthcare costs. It is, however, unclear whether maintaining low driving pressure is clinically relevant to measure and contain costs. We hypothesized that a lower dynamic driving pressure is associated with lower costs. DESIGN: Multicenter retrospective cohort study. SETTING: Two academic healthcare networks in New York and Massachusetts, USA. PATIENTS: 46,715 adult surgical patients undergoing general anesthesia for non-ambulatory (inpatient and same-day admission) surgery between 2016 and 2021. INTERVENTIONS: The primary exposure was the median intraoperative dynamic driving pressure. MEASUREMENTS: The primary outcome was direct perioperative healthcare-associated costs, which were matched with data from the Healthcare Cost and Utilization Project-National Inpatient Sample (HCUP-NIS) to report absolute differences in total costs in United States Dollars (US$). We assessed effect modification by patients' baseline risk of PRC (score for prediction of postoperative respiratory complications [SPORC] ≥ 7) and effect mediation by rates of PRC (including post-extubation saturation < 90%, re-intubation or non-invasive ventilation within 7 days) and other major complications. MAIN RESULTS: The median intraoperative dynamic driving pressure was 17.2cmH2O (IQR 14.0-21.3cmH2O). In adjusted analyses, every 5cmH2O reduction in dynamic driving pressure was associated with a decrease of -0.7% in direct perioperative healthcare-associated costs (95%CI -1.3 to -0.1%; p = 0.020). When a dynamic driving pressure below 15cmH2O was maintained, -US$340 lower total perioperative healthcare-associated costs were observed (95%CI -US$546 to -US$132; p = 0.001). This association was limited to patients at high baseline risk of PRC (n = 4059; -US$1755;97.5%CI -US$2495 to -US$986; p < 0.001), where lower risks of PRC and other major complications mediated 10.7% and 7.2% of this association (p < 0.001 and p = 0.015, respectively). CONCLUSIONS: Intraoperative mechanical ventilation targeting low dynamic driving pressures could be a relevant measure to reduce perioperative healthcare-associated costs in high-risk patients.

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.

Barriers and proposed solutions to at-home colorectal cancer screening tests in medically underserved health centers across three US regions to inform a randomized trial.

INTRODUCTION: At-home colorectal cancer (CRC) screening is an effective way to reduce CRC mortality, but screening rates in medically underserved groups are low. To plan the implementation of a pragmatic randomized trial comparing two population-based outreach approaches, we conducted qualitative research on current processes and barriers to at-home CRC screening in 10 community health centers (CHCs) that serve medically underserved groups, four each in Massachusetts and California, and two tribal facilities in South Dakota. METHODS: We conducted 53 semi-structured interviews with clinical and administrative staff at the participating CHCs. Participants were asked about CRC screening processes, categorized into eight domains: patient identification, outreach, risk assessment, fecal immunochemical test (FIT) workflows, FIT-DNA (i.e., Cologuard) workflows, referral for a follow-up colonoscopy, patient navigation, and educational materials. Transcripts were analyzed using a Rapid Qualitative Analysis approach. A matrix was used to organize and summarize the data into four sub-themes: current process, barriers, facilitators, and solutions to adapt materials for the intervention. RESULTS: Each site's process for stool-based CRC screening varied slightly. Interviewees identified the importance of offering educational materials in English and Spanish, using text messages to remind patients to return kits, adapting materials to address health literacy needs so patients can access instructions in writing, pictures, or video, creating mailed workflows integrated with a tracking system, and offering patient navigation to colonoscopy for patients with an abnormal result. CONCLUSION: Proposed solutions across the three regions will inform a multilevel intervention in a pragmatic trial to increase CRC screening uptake in CHCs.

Adverse events and perceived abandonment: learning from patients' accounts of medical mishaps.

BACKGROUND: Adverse medical events affect 10% of American households annually, inducing a variety of harms and attitudinal changes. The impact of adverse events on perceived abandonment by patients and their care partners has not been methodically assessed. OBJECTIVE: To identify ways in which providers, patients and families responded to medical mishaps, linking these qualitatively and statistically to reported feelings of abandonment and sequelae induced by perceived abandonment. METHODS: Mixed-methods analysis of responses to the Massachusetts Medical Errors Recontact survey with participants reporting a medical error within the past 5 years. The survey consisted of forty closed and open-ended questions examining adverse medical events and their consequences. Respondents were asked whether they felt 'that the doctors abandoned or betrayed you or your family'. Open-ended responses were analysed with a coding schema by two clinician coders. RESULTS: Of the 253 respondents, 34.5% initially and 20% persistently experienced abandonment. Perceived abandonment could be traced to interactions before (18%), during (34%) and after (45%) the medical mishap. Comprehensive post-incident communication reduced abandonment for patients staying with the provider associated with the mishap. However, 68.4% of patients perceiving abandonment left their original provider; for them, post-error communication did not increase the probability of resolution. Abandonment accounted for half the post-event loss of trust in clinicians. LIMITATIONS: Survey-based data may under-report the impact of perceived errors on vulnerable populations. Moreover, patients may not be cognizant of all forms of adverse events or all sequelae to those events. Our data were drawn from a single state and time period. CONCLUSION: Addressing the deleterious impact of persisting abandonment merits attention in programmes responding to patient safety concerns. Enhancing patient engagement in the aftermath of an adverse medical event has the potential to reinforce therapeutic alliances between patients and their subsequent clinicians.

Quality-of-Care Outcomes in Vertical Relationships Between Physicians and Health Systems.

Importance: Vertical relationships (ownership, affiliations, joint contracting) between physicians and health systems are increasing in the US. Many proponents of vertical relationships argue that increased spending associated with consolidation is accompanied by improvements in quality of care. Objective: To assess the association of vertical relationships between primary care physicians (PCPs) and large health systems and quality of care. Design, Setting, and Participants: This stacked difference-in-differences study compared outcomes for patients whose attributed PCP entered a vertical relationship with a large system in 2015 or 2017 to patients whose PCP was either never or always in a vertical relationship with a large system from 2013 to 2017. Models account for differences between PCPs, patient characteristics, market concentration, and secular trends. Data were derived from the 2013 to 2017 Massachusetts All-Payer Claims Database. The study population included commercially insured individuals attributed to a PCP in the Massachusetts Health Quality Partners' Massachusetts Provider Database in 2013, 2015, or 2017. Analyses were conducted between January 2021 and January 2024. Exposure: PCPs attributed to patients in the study entering a vertical relationship with a large health system in 2015 or 2017. Main Outcomes and Measures: Low-value care utilization, posthospitalization follow-up, utilization among patients with ambulatory care-sensitive conditions, practice site visit fragmentation, and timeliness of specialty care. Results: The study population included 4 603 172 patient-year observations from 2013 to 2017. Among all patients in the study, 53.5% were female, 35.3% had any chronic condition, and the mean (SD) age was 38.9 (20.3) years. There was no association between vertical relationships and low-value care or ambulatory care-sensitive conditions utilization. A patient's PCP entering a vertical relationship had no association with the probability of follow-up within 90 days of cancer diagnosis with any oncologist but was associated with a 7.34-percentage point (pp) (95% CI, 2.28-12.40; P = .01) increase in the probability of follow-up with an oncologist in the health system. Vertical relationships were associated with increased posthospitalization follow-up with a physician in the health system by 7.51 pp (95% CI, 2.96-12.06: P = .001) in the 2015 subgroup. PCP-health system vertical relationships were associated with a significant decrease in fragmentation of practice site visits of -1.05 pp (95% CI, -2.05 to 0.05; P = .04). Conclusions and Relevance: In this study, vertical relationships between PCPs and large health systems were associated with patient steering and changes in care delivery processes, but not necessarily improvements in patient outcomes.

A Dynamic Prognostic Model for Identifying Vulnerable COVID-19 Patients at High Risk of Rapid Deterioration.

PURPOSE: We aimed to validate and, if performance was unsatisfactory, update the previously published prognostic model to predict clinical deterioration in patients hospitalized for COVID-19, using data following vaccine availability. METHODS: Using electronic health records of patients ≥18 years, with laboratory-confirmed COVID-19, from a large care-delivery network in Massachusetts, USA, from March 2020 to November 2021, we tested the performance of the previously developed prediction model and updated the prediction model by incorporating data after availability of COVID-19 vaccines. We randomly divided data into development (70%) and validation (30%) cohorts. We built a model predicting worsening in a published severity scale in 24 h by LASSO regression and evaluated performance by c-statistic and Brier score. RESULTS: Our study cohort consisted of 8185 patients (Development: 5730 patients [mean age: 62; 44% female] and Validation: 2455 patients [mean age: 62; 45% female]). The previously published model had suboptimal performance using data after November 2020 (N = 4973, c-statistic = 0.60. Brier score = 0.11). After retraining with the new data, the updated model included 38 predictors including 18 changing biomarkers. Patients hospitalized after Jun 1st, 2021 (when COVID-19 vaccines became widely available in Massachusetts) were younger and had fewer comorbidities than those hospitalized before. The c-statistic and Brier score were 0.77 and 0.13 in the development cohort, and 0.73 and 0.14 in the validation cohort. CONCLUSION: The characteristics of patients hospitalized for COVID-19 differed substantially over time. We developed a new dynamic model for rapid progression with satisfactory performance in the validation set.

Sex, Atrial Fibrillation, and Long-Term Mortality After Cardiac Surgery.

Importance: There are limited data on the association of sex with the incidence of postoperative atrial fibrillation (poAF) and subsequent long-term mortality after cardiac surgery. Objective: To evaluate whether the incidence of poAF and associated long-term mortality after cardiac surgery differ by sex. Design, Setting, and Participants: This retrospective cohort study was conducted at 2 tertiary care centers in Massachusetts from January 1, 2002, until October 1, 2016, with follow-up until December 1, 2022. Adult (aged >20 years) women and men undergoing coronary artery bypass graft surgery, aortic valve surgery, mitral valve surgery, and combined procedures with cardiopulmonary bypass were examined using medical records. Patients who had data on poAF were included in data analyses. Exposures: Sex and poAF. Main Outcomes and Measures: Primary outcomes were the incidence of poAF and all-cause mortality. poAF was defined as any atrial fibrillation detected on electrocardiogram (EKG) during the index hospitalization in patients presenting for surgery in normal sinus rhythm. Data on poAF were obtained from EKG reports and supplemented by information from the Society of Thoracic Surgeons Adult Cardiac Surgery Database. All-cause mortality was assessed via hospital records. The hypotheses were formulated prior to data analysis. Results: Among 21 568 patients with poAF data (mean [SD] age, 66.5 [12.4] years), 2694 of 6601 women (40.8%) and 5805 of 14 967 men (38.8%) developed poAF. In a multivariable logistic regression model, women had lower risk of poAF (odds ratio [OR], 0.85; 95% CI, 0.79-0.91; P < .001). During the follow-up study period, 1294 women (50.4%) and 2376 men (48.9%) in the poAF group as well as 1273 women (49.6%) and 2484 men (51.1%) in the non-poAF group died. Cox proportional hazards analysis found that the association between poAF and mortality was significantly moderated (ie, effect modified) by sex. Compared with same-sex individuals without poAF, men with poAF had a 17% higher mortality hazard (hazard ratio [HR], 1.17; 95% CI, 1.11-1.25; P < .001), and women with poAF had a 31% higher mortality hazard (HR, 1.31; 95% CI, 1.21-1.42; P < .001). Conclusions and Relevance: In this retrospective cohort study of 21 568 patients who underwent cardiac surgery, women were less likely to develop poAF than men when controlling for other relevant characteristics; however, women who did develop poAF had a higher risk of long-term mortality than men who developed poAF. This observed elevated risk calls for a tailored approach to perioperative care in women undergoing cardiac surgery.

Preventing overdoses involving stimulants: the POINTS study protocol.

BACKGROUND: In recent years, overdoses involving illicit cocaine, methamphetamine, and other stimulants have increased in the U.S. The unintentional consumption of stimulants containing illicit fentanyl is a major risk factor for overdoses, particularly in Massachusetts and Rhode Island. Understanding the drug use patterns and strategies used by people who use stimulants (PWUS) to prevent overdose is necessary to identify risk and protective factors for stimulant and opioid-involved overdoses. Mixed-methods research with people who distribute drugs (PWDD) can also provide critical information into the mechanisms through which fentanyl may enter the stimulant supply, and the testing of drug samples can further triangulate PWUS and PWDD perspectives regarding the potency and adulteration of the drug supply. These epidemiological methods can inform collaborative intervention development efforts with community leaders to identify feasible, acceptable, and scalable strategies to prevent fatal and non-fatal overdoses in high-risk communities. METHODS: Our overall objective is to reduce stimulant and opioid-involved overdoses in regions disproportionately affected by the overdose epidemic. To meet this long-term objective, we employ a multi-pronged approach to identify risk and protective factors for unintentional stimulant and opioid-involved overdoses among PWUS and use these findings to develop a package of locally tailored intervention strategies that can be swiftly implemented to prevent overdoses. Specifically, this study aims to [1] Carry out mixed-methods research with incarcerated and non-incarcerated people who use or distribute illicit stimulants to identify risk and protective factors for stimulant and opioid-involved overdoses; [2] Conduct drug checking to examine the presence and relative quantity of fentanyl and other adulterants in the stimulant supply; and [3] Convene a series of working groups with community stakeholders involved in primary and secondary overdose prevention in Massachusetts and Rhode Island to contextualize our mixed-methods findings and identify multilevel intervention strategies to prevent stimulant-involved overdoses. DISCUSSION: Completion of this study will yield a rich understanding of the social epidemiology of stimulant and opioid-involved overdoses in addition to community-derived intervention strategies that can be readily implemented and scaled to prevent such overdoses in two states disproportionately impacted by the opioid and overdose crises: Massachusetts and Rhode Island.

Views and experiences of involuntary civil commitment of people who use drugs in Massachusetts (Section 35).

BACKGROUND: Involuntary civil commitment (ICC) is a court-mandated process to place people who use drugs (PWUD) into substance use treatment. Research on ICC effectiveness is mixed, but suggests that coercive drug treatment like ICC is harmful and can produce a number of adverse outcomes. We qualitatively examined the experiences and outcomes of ICC among PWUD in Massachusetts. METHODS: Data for this analysis were collected between 2017 and 2023 as part of a mixed-methods study of Massachusetts residents who disclosed illicit drug use in the past 30-days. We examined the transcripts of 42 participants who completed in-depth interviews and self-reported ICC. Transcripts were coded and thematically analysed using inductive and deductive approaches to understand the diversity of ICC experiences. RESULTS: Participants were predominantly male (57 %), white (71 %), age 31-40 (50 %), and stably housed (67 %). All participants experienced ICC at least once; half reported multiple ICCs. Participants highlighted perceptions of ICC for substance use treatment in Massachusetts. Themes surrounding ICC experience included: positive and negative treatment experience's, strategies for evading ICC, disrupting access to medications for opioid use disorder (MOUD), and contributing to continued substance use and risk following release. CONCLUSIONS: PWUD experience farther-reaching health and social consequences beyond the immediate outcomes of an ICC. Findings suggest opportunities to amend ICC to facilitate more positive outcomes and experiences, such as providing sufficient access to MOUD and de-criminalizing the ICC processes. Policymakers, public health, and criminal justice professionals should consider possible unintended consequences of ICC on PWUD.