Factors Associated with Completeness of Sex and Gender Fields in Electronic Health Records.

Purpose: Our purpose was to understand the completeness of sex and gender fields in electronic health record (EHR) data and patient-level factors associated with completeness of those fields. In doing so, we aimed to inform approaches to EHR sex and gender data collection. Methods: This was a retrospective observational study using 2016-2021 deidentified EHR data from a large health care system. Our sample included adults who had an encounter at any of three hospitals within the health care system or were enrolled in the health care system's Accountable Care Organization. The sex and gender fields of interest were gender identity, sex assigned at birth (SAB), and legal sex. Patient characteristics included demographics, clinical features, and health care utilization. Results: In the final study sample (N = 3,473,123), gender identity, SAB, and legal sex (required for system registration) were missing for 75.4%, 75.8%, and 0.1% of individuals, respectively. Several demographic and clinical factors were associated with having complete gender identity and SAB. Notably, the odds of having complete gender identity and SAB were greater among individuals with an activated patient portal (odds ratio [OR] = 2.68; 95% confidence interval [CI] = 2.66-2.70) and with more outpatient visits (OR = 4.34; 95% CI = 4.29-4.38 for 5+ visits); odds of completeness were lower among those with any urgent care visits (OR = 0.80; 95% CI = 0.78-0.82). Conclusions: Missingness of sex and gender data in the EHR was high and associated with a range of patient factors. Key features associated with completeness highlight multiple opportunities for intervention with a focus on patient portal use, primary care provider reporting, and urgent care settings.

Case identification and healthcare utilization in the years prior to a first mania diagnosis.

BACKGROUND: There is limited evaluation of approaches to identify patients with new onset bipolar affective disorder (BPAD) when using administrative datasets. METHODS: Using the Massachusetts All-Payer Claims Database (APCD), we identified individuals with a 2016 diagnosis of bipolar disorder with mania and examined patterns of psychiatric and medical care over the preceding 48 months. RESULTS: Among 4806 individuals aged 15-35 years with a 2016 BPAD with mania diagnosis, 3066 had 48 months of historical APCD data, and of those, 75 % involved information from ≥2 payors. After excluding individuals with historical BPAD or mania diagnoses, there were 583 individuals whose 2016 BPAD with mania diagnosis appeared to be new (i.e., 34 new diagnoses per 100,000 individuals aged 15-35 years). Most individuals received medical care, e.g., 98 % had outpatient visits, 76 % had Emergency Department (ED) visits, and 50 % had mental health-related ED visits during the 48 months prior to their first mania diagnosis. One-third (37.2 %) had a depressive episode before their initial BPAD with mania diagnosis. LIMITATIONS: Study was conducted in one state among insured individuals. We used administrative data, which permits evaluation of large populations but lacks rigorous, well-validated claims-based definitions for BPAD. There could be diagnostic uncertainty during illness course, and clinicians may differ in their diagnostic thresholds. CONCLUSIONS: Careful examination of multiple years of patient history spanning all payors is essential for identifying new onset BPAD diagnoses presenting with mania, which in turn is critical to estimating population rates of new disease and understanding the early course of disease.

Mental health care use and quality among Medicaid adults with serious mental illness receiving care at Federally Qualified Health Centers vs. other settings.

BACKGROUND: Federally Qualified Health Centers (FQHCs) are a critical source of care for medically underserved populations and often serve as medical homes for individuals with serious mental illness (SMI). Many FQHCs provide mental health services and could facilitate access to mental health treatment within and outside of FQHCs. This study compared mental health care utilization and acute care events for adult Medicaid enrollees with SMI who receive care at Federally Qualified Health Centers (FQHCs) vs. other settings. METHODS: This study used the 2015-2016 Massachusetts All-Payer Claims Database to examine outpatient mental health care and acute care events for 32,330 Medicaid adults, ages 18-64 and with major depressive, bipolar, or schizophrenia spectrum disorders (SSD), who resided in FQHC service areas and received care from FQHCs vs. other settings in 2015. Multivariable linear regressions assessed associations between receiving care at FQHCs and outpatient mental health visits, psychotropic medication fills, and acute care events in 2016. RESULTS: There were 8,887 (27.5%) adults in the study population (N = 32,330) who had at least one FQHC visit in 2015. Those who received care at FQHCs were more likely to have outpatient mental health visits (73.3% vs. 71.2%) and psychotropic medication fills (73.2% vs. 69.0%, both p < .05), including antidepressants among those with depressive disorders and antipsychotics among those with SSD. They were more likely to have ED visits (74.0% vs. 68.7%), but less likely to be hospitalized (27.8% vs. 31.9%, both p < .05). However, there was no significant difference in the likelihood of having an acute psychiatric hospitalization (9.5% vs. 9.8%, p = .35). CONCLUSIONS: Among Medicaid enrollees with SMIs who had access to care at FQHCs, those receiving care at FQHCs were more likely to have outpatient mental health visits and psychotropic medication fills, with lower rates of hospitalization, suggesting potentially improved quality of outpatient care. Higher ED visit rates among those receiving care at FQHCs warrant additional investigation.

Using simulation modeling to inform intervention and implementation selection in a rapid stakeholder-engaged hybrid effectiveness-implementation randomized trial.

BACKGROUND: Implementation research generally assumes established evidence-based practices and prior piloting of implementation strategies, which may not be feasible during a public health emergency. We describe the use of a simulation model of the effectiveness of COVID-19 mitigation strategies to inform a stakeholder-engaged process of rapidly designing a tailored intervention and implementation strategy for individuals with serious mental illness (SMI) and intellectual/developmental disabilities (ID/DD) in group homes in a hybrid effectiveness-implementation randomized trial. METHODS: We used a validated dynamic microsimulation model of COVID-19 transmission and disease in late 2020/early 2021 to determine the most effective strategies to mitigate infections among Massachusetts group home staff and residents. Model inputs were informed by data from stakeholders, public records, and published literature. We assessed different prevention strategies, iterated over time with input from multidisciplinary stakeholders and pandemic evolution, including varying symptom screening, testing frequency, isolation, contact-time, use of personal protective equipment, and vaccination. Model outcomes included new infections in group home residents, new infections in group home staff, and resident hospital days. Sensitivity analyses were performed to account for parameter uncertainty. Results of the simulations informed a stakeholder-engaged process to select components of a tailored best practice intervention and implementation strategy. RESULTS: The largest projected decrease in infections was with initial vaccination, with minimal benefit for additional routine testing. The initial level of actual vaccination in the group homes was estimated to reduce resident infections by 72.4% and staff infections by 55.9% over the 90-day time horizon. Increasing resident and staff vaccination uptake to a target goal of 90% further decreased resident infections by 45.2% and staff infections by 51.3%. Subsequent simulated removal of masking led to a 6.5% increase in infections among residents and 3.2% among staff. The simulation model results were presented to multidisciplinary stakeholders and policymakers to inform the "Tailored Best Practice" package for the hybrid effectiveness-implementation trial. CONCLUSIONS: Vaccination and decreasing vaccine hesitancy among staff were predicted to have the greatest impact in mitigating COVID-19 risk in vulnerable populations of group home residents and staff. Simulation modeling was effective in rapidly informing the selection of the prevention and implementation strategy in a hybrid effectiveness-implementation trial. Future implementation may benefit from this approach when rapid deployment is necessary in the absence of data on tailored interventions. TRIAL REGISTRATION: ClinicalTrials.gov NCT04726371.

Predictors of COVID-19 infection and hospitalization in group homes for individuals with intellectual and/or developmental disabilities.

BACKGROUND: More than seven million people with intellectual and/or developmental disabilities (ID/DD) live in the US and may face an elevated risk for COVID-19. OBJECTIVE: To identify correlates of COVID-19 and related hospitalizations among people with ID/DD in group homes in Massachusetts. METHODS: We collected data during March 1, 2020-June 30, 2020 (wave 1) and July 1, 2020-March 31, 2021 (wave 2) from the Massachusetts Department of Public Health and six organizations administering 206 group homes for 1035 residents with ID/DD. The main outcomes were COVID-19 infections and related hospitalizations. We fit multilevel Cox proportional hazards models to estimate associations with observed predictors and assess contextual home- and organizational-level effects. RESULTS: Compared with Massachusetts residents, group home residents had a higher age-adjusted rate of COVID-19 in wave 1 (incidence rate ratio [IRR], 12.06; 95 % confidence interval [CI], 10.51-13.84) and wave 2 (IRR, 2.47; 95 % CI, 2.12-2.88) and a higher age-adjusted rate of COVID-19 hospitalizations in wave 1 (IRR, 17.64; 95 % CI, 12.59-24.70) and wave 2 (IRR, 4.95; 95 % CI, 3.23-7.60). COVID-19 infections and hospitalizations were more likely among residents aged 65+ and in group homes with 6+ resident beds and recent infection among staff and residents. CONCLUSIONS: Aggressive efforts to decrease resident density, staff-to-resident ratios, and staff infections through efforts such as vaccination, in addition to ongoing access to personal protective equipment and COVID-19 testing, may reduce COVID-19 and related hospitalizations in people with ID/DD living in group homes.

Implementing automated Medicaid eligibility renewals was not associated with higher levels of program participation.

Increasing participation in Medicaid among eligible individuals is critical for improving access to care among low-income populations. The administrative burdens of enrolling and renewing eligibility are a major barrier to participation. To reduce these burdens, the Affordable Care Act required states to adopt automated renewal processes that use available databases to verify ongoing eligibility. By 2019, nearly all states adopted automated renewals, but little is known about how this policy affected Medicaid participation rates. Using the 2015-2019 American Community Survey, we found that participation rates among nondisabled, nonelderly adults and children varied widely by state, with an average of 70.8% and 90.7%, respectively. Among Medicaid-eligible adults, participation was lower among younger adults, males, unmarried individuals, childless households, and those living in non-expansion states compared with their counterparts. State adoption of automated renewals varied over time, but participation rates were not associated with adoption. This finding could reflect limitations to current automated renewal processes or barriers to participation outside of the eligibility renewal process, which will be important to address as additional states expand Medicaid and pandemic-era protections on enrollment expire.

Association of food insecurity with changes in diet quality, weight, and glycemia over two years in adults with prediabetes and type 2 diabetes on medicaid.

Little is known about longitudinal associations between food insecurity (FI) and diet, weight, and glycemia in people with prediabetes and type 2 diabetes (T2D). In a secondary analysis of Medicaid-enrolled health center patients with prediabetes or T2D in Boston, Massachusetts (N = 188), we examined associations between food security (FS) and measures of diet quality, weight, and hyperglycemia. FS (10-item USDA FS module) was ascertained at baseline, 1-year, and 2-year follow-up and categorized as persistently secure, intermittently insecure, or persistently insecure. Associations between FS category and changes in Healthy Eating Index-2020 (HEI-20), body mass index (BMI), and hemoglobin A1c (A1c) from baseline to year 2 were assessed using multivariate generalized linear models. Participants had median (p25, p75) age of 52 (42, 57); 71.8% were female and 62.8% Hispanic. Over follow-up, 32.4% were persistently food secure, 33.0% intermittently insecure, and 34.5% persistently insecure. Baseline mean (SD) HEI-20, BMI, and A1c were 55.8 (14.5), 35.9 (8.7) kg/m2, 7.1% (1.6) and did not differ by FS category. FS category was not associated with changes in HEI-20, BMI, and A1c at 2 years (all p > 0.05). Results suggest that Medicaid-enrolled adults with prediabetes or T2D, regardless of FS status, would benefit from dietary and weight management interventions.

The Impact of the Medicaid Reimbursement Bump on Influenza Vaccination Rates Among US Teens: Evidence from the National Immunization Survey-Teen 2011-2020.

BACKGROUND: Many adolescents do not receive basic preventive care such as influenza vaccinations. The Affordable Care Act (ACA) temporarily increased Medicaid reimbursements for primary care services, including vaccine administration, in 2013 to 2014. The objective of this study is to assess the impact of reimbursement increases on influenza vaccination rates among adolescents with Medicaid. METHODS: This repeated cross-sectional study used a difference-in-difference approach to compare changes in annual influenza vaccination rates for 20,884 adolescents 13 to 17 years old covered by Medicaid with adequate provider-reported data in 18 states with larger extended (>$5, 2013 to 2019) versus larger temporary (2013 to 2014 only) versus smaller reimbursement changes. We used linear probability models with individual-level random effects, adjusting for state and individual characteristics and annual time trends to assess the impact of a Medicaid vaccine administration reimbursement increase on annual influenza vaccination. RESULTS: Mean Medicaid reimbursements for vaccine administration doubled from 2011 to 2013 to 2014 (eg, from $11 to $22 for CPT 90460). States with smaller reimbursement changes had higher mean reimbursements and higher adjusted vaccination rates at baseline (2011) compared with states with larger temporary and extended reimbursement changes. The reimbursement change was not associated with increases in influenza vaccination rates. DISCUSSION: Influenza vaccination rates were low among adolescents with Medicaid throughout the study period, particularly in states with lower Medicaid reimbursement levels before the ACA. CONCLUSION: That reimbursement increases were not associated with higher vaccination rates suggests additional efforts are needed to improve influenza vaccination rates in this population.

Associations Between Annual Medicare Part D Low-Income Subsidy Loss and Prescription Drug Spending and Use.

Importance: The Medicare Part D Low Income Subsidy (LIS) program provides millions of beneficiaries with drug plan premium and cost-sharing assistance. The extent to which LIS recipients experience subsidy losses with annual redetermination cycles and the resulting associations with prescription drug affordability and use are unknown. Objective: To examine how frequently annual LIS benefits are lost among Medicare Part D beneficiaries and how this is associated with prescription drug use and out-of-pocket costs. Design, Setting, and Participants: In this cohort study of Medicare Part D beneficiaries from 2007 to 2018, annual changes in LIS recipients among those automatically deemed eligible (eg, due to dual eligibility for Medicare and Medicaid) and nondeemed beneficiaries who must apply for LIS benefits were analyzed using Medicare enrollment and Part D event data. Subsidy losses were classified in 4 groups: temporary losses (<1 year); extended losses (≥1 year); subsidy reductions (change to partial LIS); and disenrollment from Medicare Part D after subsidy loss. Temporary losses could more likely represent subsidy losses among eligible beneficiaries. Multinomial logit models were used to examine associations between beneficiary characteristics and subsidy loss; linear regression models were used to compare changes in prescription drug cost and use in the months after subsidy losses vs before. Analyses were conducted between November 2022 and November 2023. Exposure: Subsidy loss at the beginning of each year among subsidy recipients in December of the prior year. Main Outcomes and Measures: The main outcomes were out-of-pocket costs and prescription drug fills overall and for 4 classes: antidiabetes, antilipid, antidepressant, and antipsychotic drugs. Results: In 2008, 731 070 full LIS beneficiaries (17%) were not deemed automatically eligible (39% were aged <65 years; 59% were female). Nearly all beneficiaries deemed automatically eligible (≥99%) retained the subsidy annually from 2007 to 2018, compared with 78% to 84% of nondeemed beneficiaries. Among nondeemed beneficiaries, disabled individuals younger than 65 years and racial and ethnic minority groups were more likely to have temporary subsidy losses vs none. Temporary losses were associated with an average 700% increase in out-of-pocket drug costs (+$52.72/mo [95% CI, 52.52-52.92]) and 15% reductions in prescription fills (-0.58 fills/mo [95% CI, -0.59 to -0.57]) overall. Similar changes were found for antidiabetes, antilipid, antidepressant, and antipsychotic prescription drug classes. Beneficiaries who retained their subsidy had few changes. Conclusions and Relevance: The conclusions of this cohort study suggest that efforts to help eligible beneficiaries retain Medicare Part D subsidies could improve drug affordability, treatment adherence, and reduce disparities in medication access.

COVID-19-Related Outcomes Among Group Home Residents with Serious Mental Illness in Massachusetts in the First Year of the Pandemic.

This study examined COVID-19 infection and hospitalizations among people with serious mental illness who resided in residential care group homes in Massachusetts during the first year of the COVID-19 pandemic. The authors analyzed data on 2261 group home residents and COVID-19 data from the Massachusetts Department of Public Health. Outcomes included positive COVID-19 tests and COVID-19 hospitalizations March 1, 2020-June 30, 2020 (wave 1) and July 1, 2020-March 31, 2021 (wave 2). Associations between hazard of outcomes and resident and group home characteristics were estimated using multi-level Cox frailty models including home- and city-level frailties. Between March 2020 and March 2021, 182 (8%) residents tested positive for COVID-19, and 51 (2%) had a COVID-19 hospitalization. Compared with the Massachusetts population, group home residents had age-adjusted rate ratios of 3.0 (4.86 vs. 1.60 per 100) for COVID infection and 13.5 (1.99 vs. 0.15 per 100) for COVID hospitalizations during wave 1; during wave 2, the rate ratios were 0.5 (4.55 vs. 8.48 per 100) and 1.7 (0.69 vs. 0.40 per 100). In Cox models, residents in homes with more beds, higher staff-to-resident ratios, recent infections among staff and other residents, and in cities with high community transmission risk had greater hazard of COVID-19 infection. Policies and interventions that target group home-specific risks are needed to mitigate adverse communicable disease outcomes in this population.Clinical Trial Registration Number This study provides baseline (i.e., pre-randomization) data from a clinical trial study NCT04726371.

Medical and Psychiatric Care Preceding the First Psychotic Disorder Diagnosis.

BACKGROUND: Individuals with psychotic symptoms experience substantial morbidity and have shortened life expectancies; early treatment may mitigate the worst effects. Understanding care preceding a first psychotic disorder diagnosis is critical to inform early detection and intervention. STUDY DESIGN: In this observational cohort study using comprehensive information from the Massachusetts All-Payer Claims Database, we identified the first psychotic disorder diagnosis in 2016, excluding those with historical psychotic disorder diagnoses in the prior 48 months among those continuous enrollment data. We reviewed visits, medications, and hospitalizations 2012-2016. We used logistic regression to examine characteristics associated with pre-diagnosis antipsychotic use. STUDY RESULTS: There were 2505 individuals aged 15-35 years (146 per 100 000 similarly aged individuals in the database) with a new psychotic disorder diagnosis in 2016. Most (97%) had at least one outpatient visit in the preceding 48 months; 89% had a prior mental health diagnosis unrelated to psychosis (eg, anxiety [60%], depression [60%]). Many received psychotropic medications (77%), including antipsychotic medications (46%), and 68% had a visit for injury or trauma during the preceding 48 months. Characteristics associated with filling an antipsychotic medication before the psychotic disorder diagnosis included male sex and Medicaid insurance at psychosis diagnosis. CONCLUSIONS: In this insured population of Massachusetts residents with a new psychotic disorder diagnosis, nearly all had some healthcare utilization, visits for injury or trauma were common, and nearly half filled an antipsychotic medication in the preceding 48 months. These patterns of care could represent either pre-disease signals, delays, or both in receiving a formal diagnosis.

Association of Food Insecurity with Changes in Diet Quality, Weight, and Glycemia Over Two Years in Adults with Prediabetes and Type 2 Diabetes on Medicaid.

Little is known about longitudinal associations between food insecurity (FI) and diet, weight, and glycemia in people with prediabetes and type 2 diabetes (T2D). In a secondary analysis of Medicaid-enrolled health center patients with prediabetes or T2D in Boston, Massachusetts (N = 188), we examined associations between food security (FS) and measures of diet quality, weight, and hyperglycemia. FS (10-item USDA FS module) was ascertained at baseline, 1-year, and 2-year follow-up and categorized as persistently secure, intermittently insecure, or persistently insecure. Associations between FS category and changes in Healthy Eating Index-2020 (HEI-20), body mass index (BMI), and hemoglobin A1c (A1c) from baseline to year 2 were assessed using multivariate generalized linear models. Participants had median (p25, p75) age of 52 (42, 57); 71.8% were female and 62.8% Hispanic. Over follow-up, 32.4% were persistently food secure, 33.0% intermittently insecure, and 34.5% persistently insecure. Baseline mean (SD) HEI-20, BMI, and A1c were 55.8 (14.5), 35.9 (8.7) kg/m2, 7.1% (1.6) and did not differ by FS category. FS category was not associated with changes in HEI-20, BMI, and A1c at 2 years (all p > 0.05). Results suggest that Medicaid-enrolled adults with prediabetes or T2D, regardless of FS status, would benefit from dietary and weight management interventions.

Eliminating health care inequities through strengthening access to care.

OBJECTIVE: To provide a research agenda and recommendations to address inequities in access to health care. DATA SOURCES AND STUDY SETTING: The Agency for Healthcare Research and Quality (AHRQ) organized a Health Equity Summit in July 2022 to evaluate what equity in access to health care means in the context of AHRQ's mission and health care delivery implementation portfolio. The findings are a result of this Summit, and subsequent convenings of experts on access and equity from academia, industry, and the government. STUDY DESIGN: Multi-stakeholder input from AHRQ's Health Equity Summit, author consensus on a framework and key knowledge gaps, and summary of evidence from the supporting literature in the context of the framework ensure comprehensive recommendations. DATA COLLECTION/EXTRACTION METHODS: Through a stakeholder-engaged process, themes were developed to conceptualize access with a lens toward health equity. A working group researched the most appropriate framework for access to care to classify limitations identified during the Summit and develop recommendations supported by research in the context of the framework. This strategy was intentional, as the literature on inequities in access to care may itself be biased. PRINCIPAL FINDINGS: The Levesque et al. framework, which incorporates multiple dimensions of access (approachability, acceptability, availability, accommodation, affordability, and appropriateness), is the backdrop for framing research priorities for AHRQ. However, addressing inequities in access cannot be done without considering the roles of racism and intersectionality. Recommendations include funding research that not only measures racism within health care but also tests burgeoning anti-racist practices (e.g., co-production, provider training, holistic review, discrimination reporting, etc.), acting as a convener and thought leader in synthesizing best practices to mitigate racism, and forging the path forward for research on equity and access. CONCLUSIONS: AHRQ is well-positioned to develop an action plan, strategically fund it, and convene stakeholders across the health care spectrum to employ these recommendations.

The Affordability Of Individual-Market Health Insurance In California Under The American Rescue Plan Act, 2021.

In 2021 the American Rescue Plan Act increased premium subsidies for people purchasing insurance from the Affordable Care Act Marketplaces and provided zero-premium Marketplace plans that covered 94 percent of medical care costs (silver 94 plans) to recipients of unemployment compensation. Using data on adult enrollees in on- and off-Marketplace individual plans in California in 2021, we found that 41 percent reported incomes at or below 400 percent of the federal poverty level and that 39 percent reported living in households receiving unemployment compensation. Overall, 72 percent of enrollees reported having no difficulty paying premiums, and 76 percent reported that out-of-pocket expenses did not affect their seeking of medical care. The majority of enrollees eligible for plans with cost-sharing subsidies were enrolled in Marketplace silver plans (56-58 percent). Many of these enrollees, however, may have missed opportunities for premium or cost-sharing subsidies: 6-8 percent enrolled in off-Marketplace plans and were more likely to have difficulty paying premiums than those in Marketplace silver plans, and more than one-quarter enrolled in Marketplace bronze plans and were more likely to delay care because of cost than those in Marketplace silver plans. In the coming era of expanded Marketplace subsidies under the Inflation Reduction Act of 2022, helping consumers identify high-value and subsidy-eligible plans could mitigate remaining affordability problems.

Assessment of the Massachusetts Flexible Services Program to Address Food and Housing Insecurity in a Medicaid Accountable Care Organization.

Importance: Health systems are increasingly addressing health-related social needs. The Massachusetts Flexible Services program (Flex) is a 3-year pilot program to address food insecurity and housing insecurity by connecting Medicaid accountable care organization (ACO) enrollees to community resources. Objective: To understand barriers and facilitators of Flex implementation in 1 Medicaid ACO during the first 17 months of the program. Design, Setting, and Participants: This mixed-methods qualitative evaluation study from March 2020 to July 2021 used the Reach, Efficacy, Adoption, Implementation, Maintenance/Practical, Robust Implementation, and Sustainability Model (RE-AIM/PRISM) framework. Two Mass General Brigham (MGB) hospitals and affiliated community health centers were included in the analysis. Quantitative data included all MGB Medicaid ACO enrollees. Qualitative interviews were conducted with 15 members of ACO staff and 17 Flex enrollees. Main Outcomes and Measures: Reach was assessed by the proportion of ACO enrollees who completed annual social needs screening (eg, food insecurity and housing insecurity) and the proportion and demographics of Flex enrollees. Qualitative interviews examined other RE-AIM/PRISM constructs (eg, implementation challenges, facilitators, and perceived effectiveness). Results: Of 67 098 Medicaid ACO enrollees from March 2020 to July 2021 (mean [SD] age, 28.8 [18.7] years), 38 442 (57.3%) completed at least 1 social needs screening; 10 730 (16.0%) screened positive for food insecurity, and 7401 (11.0%) screened positive for housing insecurity. There were 658 (1.6%) adults (mean [SD] age, 46.6 [11.8] years) and 173 (0.7%) children (<21 years; mean [SD] age, 10.1 [5.5]) enrolled in Flex; of these 831 people, 613 (73.8%) were female, 444 (53.4%) were Hispanic/Latinx, and 172 (20.7%) were Black. Most Flex enrollees (584 [88.8%] adults; 143 [82.7%] children) received the intended nutrition or housing services. Implementation challenges identified by staff interviewed included administrative burden, coordination with community organizations, data-sharing and information-sharing, and COVID-19 factors (eg, reduced clinical visits). Implementation facilitators included administrative funding for enrollment staff, bidirectional communication with community partners, adaptive strategies to identify eligible patients, and raising clinician awareness of Flex. In Flex enrollee interviews, those receiving nutrition services reported increased healthy eating and food security; they also reported higher program satisfaction than Flex enrollees receiving housing services. Enrollees who received nutrition services that allowed for selecting food based on preferences reported higher satisfaction than those not able to select food. Conclusions and Relevance: This mixed-methods qualitative evaluation study found that to improve implementation, Medicaid and health system programs that address social needs may benefit from providing funding for administrative costs, developing bidirectional data-sharing platforms, and tailoring support to patient preferences.

Food Insecurity and Diet Quality Among Adults on Medicaid With and Without a Mental Illness Diagnosis.

BACKGROUND: Adults with mental illnesses are more likely to have low income and diet-related chronic diseases. OBJECTIVE: This study examined associations of mental illness diagnosis status with food insecurity and diet quality and whether the relationship between food security status and diet quality differed by mental illness diagnosis status in adult Medicaid beneficiaries. DESIGN: This was a secondary cross-sectional analysis of baseline (2019-2020) data collected as part of the LiveWell study, a longitudinal study evaluating a Medicaid food and housing program. PARTICIPANTS/SETTING: Participants were 846 adult Medicaid beneficiaries from an eastern Massachusetts health system. MAIN OUTCOME MEASURES: Food security was measured with the 10-item US Adult Food Security survey module (0 = high food security, 1-2 = marginal food security, 3-10 = low/very low food security). Mental illness diagnoses included health record-documented anxiety, depression, or serious mental illness (eg, schizophrenia, bipolar disorder). Healthy Eating Index (HEI-2015) scores were calculated from 24-hour dietary recalls. STATISTICAL ANALYSES: Multivariable regression analyses adjusted for demographics, income, and survey date. RESULTS: Participants' mean (standard deviation) age was 43.1 (11.3) years, and 75% were female, 54% Hispanic, 33% non-Hispanic White, and 9% non-Hispanic Black. Fewer than half (43%) of participants reported high food security, with almost one third (32%) reporting low or very low food security. The 341 (40%) participants with one or more mental illness diagnosis had greater odds of low/very low food security (adjusted odds ratio [OR], 1.94; 95% confidence interval [CI], 1.38-2.70) and had similar mean HEI-2015 scores (53.1 vs 56.0; P = 0.12) compared with participants with no mental illness diagnosis. Mean adjusted HEI-2015 scores did not significantly differ by high vs low/very low food security for those without a mental illness diagnosis (57.9 vs 54.9; P = 0.052) or those with a mental illness diagnosis (53.0 vs 52.9; P = 0.99). CONCLUSION: In a cohort of adults with Medicaid, those with mental illness diagnoses had higher odds of experiencing food insecurity. Overall, diet quality among adults in this sample was low but did not differ by mental illness diagnosis or food security status. These results highlight the importance of augmenting efforts to improve both food security and diet quality among all Medicaid participants.

Does use of primary care-based behavioral health programs differ by race and ethnicity? Evidence from a multi-site collaborative care model.

BACKGROUND: Collaborative care models (CoCM) that integrate mental health and primary care improve outcomes and could help address racial and ethnic mental health disparities. We examined whether use of these programs differs by race/ethnicity. METHODS: This retrospective study examined two CoCM interventions implemented across primary care clinics in a large health system in Massachusetts: 1) a primary care-based behavioral health program for depression or anxiety (IMPACT model) and 2) referral to community-based specialty care services (Resource-finding). Outcomes included enrollment, non-completion, and symptom screening rates, and discharge status for Black, Hispanic and White patients referred for CoCM, 2017-2019. RESULTS: Black and Hispanic vs. White patients referred to CoCM (n = 17,280) were more likely to live in high poverty ZIP codes (34% and 40% vs. 9%). Rates of program enrollment, non-completion, and symptom screening were similar across groups (e.g., 76%, 77%, and 75% of Black, Hispanic, and White patients enrolled). Hispanic vs. White patients were more likely to be enrolled in IMPACT (56%) vs. Resource-finding (43%). Among those completing IMPACT, Hispanic vs. White patients were more likely to be stepped to psychiatry vs. discharged to their primary care provider (51% vs. 20%, aOR = 1.55, 95% CI: 1.02-2.35). CONCLUSIONS: Black and Hispanic patients referred to CoCM were similarly likely to use the program as White patients. Hispanic patients completing IMPACT were more frequently referred to psychiatry. IMPLICATIONS: These results highlight the promise of CoCMs for engaging minority populations in mental healthcare. Hispanic patients may benefit from additional intervention or earlier linkage to specialty care.

Smoke-Free Policies and Resident Turnover: An Evaluation in Massachusetts Public Housing From 2009‒2018.

INTRODUCTION: Smoke-free policies (SFP) in multi-unit housing are a promising tool for reducing exposure to tobacco smoke among residents. Concerns about increased housing instability due to voluntary or involuntary transitions induced by SFPs have been a primary barrier to greater widespread adoption. The impact of SFP implementation on transitions out of public housing in federally funded public housing authorities in Massachusetts was evaluated. METHODS: Tenancy data from the Department of Housing and Urban Development were used to determine the time from admission to transitioning out of public housing based on a cohort study design. Periods of exposure to SFPs were defined based on dates of SFP implementation at each PHA. Multi-level Cox regression models were fit to estimate the effects of SFPs on the hazard of transitioning, adjusting for household- and PHA-level characteristics. Analyses were conducted in 2021‒2022. RESULTS: There were 44,705 households with a record of residence in Massachusetts PHAs over 2009‒2018. Over this period, despite increasing adoption of SFPs among the PHAs, rates of transition remained steady at around 5‒8 transitions per 1,000 household-months. There was no overall association between exposure to SFPs and transitions among the full sample (adjusted HR=0.99, 95% CI=0.95, 1.04, p=0.794). However, the association varied significantly by age group, race/ethnicity, timing of SFP adoption, and era of admission. CONCLUSIONS: Adoption of SFPs in public housing had a minimal overall impact on turnover for households in Massachusetts, though disparities in the impact were observed between different demographic and PHA-level subgroups.

Criminal Legal Involvement Among U.S. Adults With Serious Psychological Distress and Differences by Race-Ethnicity.

OBJECTIVE: The authors examined associations between criminal legal involvement (CLI) and serious psychological distress and how these associations differed by racial-ethnic group. METHODS: The authors conducted a retrospective analysis of multiple cross-sections of data from the National Survey on Drug Use and Health (2015-2019) and used multivariable linear probability regression models to assess lifetime CLI and past-year probation, parole, supervised release, or other conditional release in a nationally representative sample of noninstitutionalized U.S. adults, ages ≥18 years (N=214,505), with and without serious psychological distress. RESULTS: Adults with serious psychological distress had higher rates of CLI than adults without such distress (difference of 4.1 percentage points, 95% CI=3.3-4.8, p<0.001). The rate of CLI increased as distress severity increased, from mild (3.2 percentage-point difference, 95% CI=2.6-3.8, p<0.001) to high (7.2 percentage-point difference, 95% CI=6.4-8.0, p<0.001). The risk for CLI among those with serious psychological distress was even greater for Black and Latinx adults than for White adults (1.8 percentage-point difference, 95% CI=0.1-3.5, p<0.05, and 3.2 percentage-point difference, 95% CI=1.3-5.2, p<0.01, respectively). CONCLUSIONS: Rates of CLI were higher for adults with serious psychological distress. Efforts are needed to equitably triage individuals with acute mental health needs to timely psychiatric care instead of carceral settings. Collaborative models of care that commingle resources from mental health and law enforcement organizations are needed to prevent unnecessary incarceration of individuals experiencing mental health crises and to increase access to community-based treatment.