Telehealth Medication Abortion in Primary Care: A Comparison to Usual in-Clinic Care.

INTRODUCTION: Providing abortion in primary care expands access and alleviates delays. The 2020 COVID-19 public health emergency (PHE) led to the expansion of telehealth, including medication abortion (MAB). This study evaluates the accessibility of novel telehealth MAB (teleMAB) initiated during the PHE, with the lifting of mifepristone restrictions, compared with traditional in-clinic MAB offered before the PHE at a Massachusetts safety-net primary care organization. METHODS: We conducted a retrospective electronic medical record review of 267 MABs. We describe sociodemographic, care access, and complete abortion characteristics and compare differences between teleMAB and in-clinic MABs using Chi-squared test, fisher's exact test, independent t test, and Wilcoxon rank sum. We conducted logistic regression to examine differences in time to care (6 days or less vs 7 days or more). RESULTS: 184 MABs were eligible for analysis (137 in-clinic, 47 teleMAB). Patients were not significantly more likely to receive teleMAB versus in-clinic MAB based on race, ethnicity, language, or payment. Completed abortion did not significantly differ between groups (P = .187). Patients received care more quickly when accessing teleMAB compared with usual in-clinic MAB (median 3 days, range 0 to 20 vs median 6 days, range 0 to 32; P < . 001). TeleMAB patients had 2.29 times the odds of having their abortion appointment within 6 days compared with in-clinic (95% CI: 1.13, 4.86). CONCLUSION: TeleMAB in primary care is as effective, timelier, and potentially more accessible than in-clinic MAB when in-person mifepristone regulations were enforced. TeleMAB is feasible and can promote patient-centered and timely access to abortion care.

Cost of start-up activities to implement a community-level opioid overdose reduction intervention in the HEALing Communities Study.

BACKGROUND: Communities That HEAL (CTH) is a novel, data-driven community-engaged intervention designed to reduce opioid overdose deaths by increasing community engagement, adoption of an integrated set of evidence-based practices, and delivering a communications campaign across healthcare, behavioral-health, criminal-legal, and other community-based settings. The implementation of such a complex initiative requires up-front investments of time and other expenditures (i.e., start-up costs). Despite the importance of these start-up costs in investment decisions to stakeholders, they are typically excluded from cost-effectiveness analyses. The objective of this study is to report a detailed analysis of CTH start-up costs pre-intervention implementation and to describe the relevance of these data for stakeholders to determine implementation feasibility. METHODS: This study is guided by the community perspective, reflecting the investments that a real-world community would need to incur to implement the CTH intervention. We adopted an activity-based costing approach, in which resources related to hiring, training, purchasing, and community dashboard creation were identified through macro- and micro-costing techniques from 34 communities with high rates of fatal opioid overdoses, across four states-Kentucky, Massachusetts, New York, and Ohio. Resources were identified and assigned a unit cost using administrative and semi-structured-interview data. All cost estimates were reported in 2019 dollars. RESULTS: State-level average and median start-up cost (representing 8-10 communities per state) were $268,657 and $175,683, respectively. Hiring and training represented 40%, equipment and infrastructure costs represented 24%, and dashboard creation represented 36% of the total average start-up cost. Comparatively, hiring and training represented 49%, purchasing costs represented 18%, and dashboard creation represented 34% of the total median start-up cost. CONCLUSION: We identified three distinct CTH hiring models that affected start-up costs: hospital-academic (Massachusetts), university-academic (Kentucky and Ohio), and community-leveraged (New York). Hiring, training, and purchasing start-up costs were lowest in New York due to existing local infrastructure. Community-based implementation similar to the New York model may have lower start-up costs due to leveraging of existing infrastructure, relationships, and support from local health departments.

Medicaid Inmate Exclusion Policy and Infectious Diseases Care for Justice-Involved Populations.

The Medicaid Inmate Exclusion Policy (MIEP) prohibits using federal funds for ambulatory care services and medications (including for infectious diseases) for incarcerated persons. More than one quarter of states, including California and Massachusetts, have asked the federal government for authority to waive the MIEP. To improve health outcomes and continuation of care, those states seek to cover transitional care services provided to persons in the period before release from incarceration. The Massachusetts Sheriffs' Association, Massachusetts Department of Correction, Executive Office of Health and Human Services, and University of Massachusetts Chan Medical School have collaborated to improve infectious disease healthcare service provision before and after release from incarceration. They seek to provide stakeholders working at the intersection of criminal justice and healthcare with tools to advance Medicaid policy and improve treatment and prevention of infectious diseases for persons in jails and prisons by removing MIEP barriers through Section 1115 waivers.

Small Marketplace Premiums Pose Financial And Administrative Burdens: Evidence From Massachusetts, 2016-17.

Health insurance premiums are primarily understood to pose financial barriers to coverage. However, the need to remit monthly premium payments may also create administrative burdens that negatively affect coverage, even in cases where affordability is a negligible concern. Using 2016-17 data from the Massachusetts health insurance Marketplace and a natural experiment, we evaluated how coverage retention was affected by the introduction of nominal (less than $10 for most enrollees) monthly premiums for plans that previously had $0 premiums. Compared with plans that maintained $0 premiums, those that took on nominal premiums saw enrollment fall by 14 percent over the following year. This attrition was attributable to terminations for nonpayment; most terminations occurred at the end of January, implying that a significant number of affected enrollees never initiated premium payments. These findings suggest that even very small premiums act as enrollment barriers, which may sometimes reflect administrative burdens more than financial hardship. Several policy approaches could mitigate adverse coverage outcomes related to nominal premiums.

Cost-effectiveness of expanded latent TB infection testing and treatment: Lynn City, Massachusetts, USA.

BACKGROUND: Between October 2016 and March 2019, Lynn Community Health Center in Massachusetts implemented a targeted latent TB infection testing and treatment (TTT) program, increasing testing from a baseline of 1,200 patients tested to an average of 3,531 patients tested, or 9% of the population per year.METHODS: We compared pre-implementation TTT, represented by the first two quarters of implementation data, to TTT, represented by 12 quarters of data. Time, diagnostic, and laboratory resources were estimated using micro-costing. Other cost and testing data were obtained from the electronic health record, pharmaceutical claims, and published reimbursement rates. A Markov cohort model estimated future health outcomes and cost-effectiveness from a societal perspective in 2020 US dollars. Monte Carlo simulation generated 95% uncertainty intervals.RESULTS: The TTT program exhibited extended dominance over baseline pre-intervention testing and had an incremental cost-effectiveness ratio (ICER) of US$52,603 (US$22,008â-"US$95,360). When compared to baseline pre-TTT testing, the TTT program averted an estimated additional 7.12 TB cases, 3.49 hospitalizations, and 0.16 deaths per lifetime cohort each year.CONCLUSIONS: TTT was more cost-effective than baseline pre-implementation testing. Lynn Community Health Centerâ-™s experience can help inform other clinics considering expanding latent TB infection testing.

The Cost of Safe Injection: Insights on Nonprescription Syringe Price Variability From Systematic Secret Shopping.

BACKGROUND: Although the sale of nonprescription syringes in pharmacies is legal in most states, people who inject drugs (PWID) continue to face obstacles to syringe purchase like stigma, prohibitive costs, restrictive policies, and stocking issues. We examined the consistency of syringe pricing as another possible barrier. METHODS: We analyzed data on syringe prices and other relevant variables from 153 unique secret shopper visits to 2 retail chain pharmacies in Massachusetts (MA), New Hampshire (NH), Oregon (OR), and Washington (WA) as part of the fidelity component of a large pharmacy-focused intervention study. Pretax prices from purchases made between August 2019 and May 2021 were adjusted for inflation to 2022 dollars, and a linear regression of the price of a 10-pack of syringes was constructed to examine the determinants of syringe pricing. RESULTS: The average real price of a 10-pack of syringes across all states was $4.53 (SD = 0.99), with wide variability between pharmacies (max = $11.44, min = $1.70) and between states (mean OR = $5.76, WA = $4.74, MA = $4.33, NH = $4.30). Forty-seven percent (n = 72) of the purchases were taxed despite syringes being tax exempt in MA and WA, and not having a sales tax in NH or OR. The results of the regression suggest that certain needle gauges were associated with lower overall prices, while 1 pharmacy chain and 2 syringe brands were associated with higher overall prices. CONCLUSIONS: The high variability in syringe pricing presents another barrier to pharmacy-based syringe access since high prices may leave PWID no choice but to reuse or share needles, especially in areas with limited alternatives or without a syringe service program. Leadership from healthcare systems, pharmacy chains, and state and local policymakers is essential to reduce stigma and to implement policies that streamline syringe purchases, eliminate the taxation of exempt syringes in accordance with state laws, and reduce the variation in syringe prices.

Disparities in SARS-CoV-2 Infection by Race, Ethnicity, Language, and Social Vulnerability: Evidence from a Citywide Seroprevalence Study in Massachusetts, USA.

OBJECTIVES: Uncovering and addressing disparities in infectious disease outbreaks require a rapid, methodical understanding of local epidemiology. We conducted a seroprevalence study of SARS-CoV-2 infection in Holyoke, Massachusetts, a majority Hispanic city with high levels of socio-economic disadvantage to estimate seroprevalence and identify disparities in SARS-CoV-2 infection. METHODS: We invited 2000 randomly sampled households between 11/5/2020 and 12/31/2020 to complete questionnaires and provide dried blood spots for SARS-CoV-2 antibody testing. We calculated seroprevalence based on the presence of IgG antibodies using a weighted Bayesian procedure that incorporated uncertainty in antibody test sensitivity and specificity and accounted for household clustering. RESULTS: Two hundred eighty households including 472 individuals were enrolled. Three hundred twenty-eight individuals underwent antibody testing. Citywide seroprevalence of SARS-CoV-2 IgG was 13.1% (95% CI 6.9-22.3) compared to 9.8% of the population infected based on publicly reported cases. Seroprevalence was 16.1% (95% CI 6.2-31.8) among Hispanic individuals compared to 9.4% (95% CI 4.6-16.4) among non-Hispanic white individuals. Seroprevalence was higher among Spanish-speaking households (21.9%; 95% CI 8.3-43.9) compared to English-speaking households (10.2%; 95% CI 5.2-18.0) and among individuals in high social vulnerability index (SVI) areas based on the CDC SVI (14.4%; 95% CI 7.1-25.5) compared to low SVI areas (8.2%; 95% CI 3.1-16.9). CONCLUSIONS: The SARS-CoV-2 IgG seroprevalence in a city with high levels of social vulnerability was 13.1% during the pre-vaccination period of the COVID-19 pandemic. Hispanic individuals and individuals in communities characterized by high SVI were at the highest risk of infection. Public health interventions should be designed to ensure that individuals in high social vulnerability communities have access to the tools to combat COVID-19.

Tiered network health plans and changes in physician practice intensity.

OBJECTIVE: To examine whether physicians in tiered physician networks where tier assignments are based on "intensity" of care, which is the quantity of resources used per-episode of care, change their intensity after learning detailed information about how their intensity compares to their peers. DATA SOURCES: Administrative data on intensity and quality at the physician-episode level for all physicians included in a tiered physician network offered through the Massachusetts Group Insurance Commission (GIC) in 2010-2015. Data on physicians' share of revenue from GIC patients from the 2012 Massachusetts All-Payer Claims Database. STUDY DESIGN: For 21,086 physicians in seven specialties, we estimate the impact of the dissemination of detailed intensity performance information in 2014 on physician intensity per episode of care overall and decomposed into physician services, facility, and pharmaceutical subcomponents. Intensity outcomes were measured using a standardized price schedule. Using a difference-in-differences regression, we compared physicians with high exposure to the tiered network via a large share of their revenue coming from GIC patients ("GIC share") to physicians who were less exposed. Measures of intensity of care and GIC share were log-transformed, and models controlled for physician-episode type fixed effects. DATA EXTRACTION METHODS: We linked GIC share to administrative data using National Provider Identifier. PRINCIPAL FINDINGS: There were no statistically significant differences in total intensity of care with the informational intervention for physicians in procedure-based specialties (-0.12 elasticity of intensity per episode with respect to GIC patient share, 95% CI -0.30 to 0.06) or in relationship-based specialties (0.09, 95% CI -0.15 to 0.33). There were also no differences in intensity of subcomponents of care following the intervention. CONCLUSIONS: Tiered network incentives had no detectable impact on intensity of care that physicians provided to patients.

Rising Inpatient Utilization and Costs of Cannabis Hyperemesis Syndrome Hospitalizations in Massachusetts After Cannabis Legalization.

GOALS: We described the demographics, inpatient utilization, and cost of services among patients hospitalized for putative cannabinoid hyperemesis syndrome (CHS) predating and postdating cannabis legalization in Massachusetts. BACKGROUND: As the recreational use of cannabis has been widely legalized nationally, the resulting shifts in clinical presentation, health care utilization, and estimated costs of CHS hospitalizations remain unclear in the postlegalization era. STUDY: We performed a retrospective cohort study among patients admitted to a large urban hospital between 2012 and 2021, before and after the date of cannabis legalization in Massachusetts (Dec 15, 2016). We examined the demographic and clinical characteristics of patients admitted for putative CHS, the utilization of hospital services, and estimated inpatient costs pre and postlegalization. RESULTS: We identified a significant increase in putative CHS hospitalizations pre and post-cannabis legalization in Massachusetts (0.1% vs 0.02% of total admissions per time period, P < 0.05). Across 72 CHS hospitalizations, patient demographics were similar pre and postlegalization. Hospital resource utilization increased postlegalization, with increased length of stay (3 d vs 1 d, P < 0.005), and need for antiemetics ( P < 0.05). Multivariate linear regression confirmed that postlegalization admissions were independently associated with increased length of stay ( Β = 5.35, P < 0.05). The mean cost of hospitalization was significantly higher postlegalization ($18,714 vs $7460, P < 0.0005), even after adjusting for medical inflation ($18,714 vs $8520, P < 0.001) with intravenous fluid administration and endoscopy costs increased ( P < 0.05). On multivariate linear regression, hospitalization for putative CHS during postlegalization predicted increased costs ( Β = 10,131.25, P < 0.05). CONCLUSIONS: In the postlegalization era of cannabis in Massachusetts, we found increased putative CHS hospitalizations, with a concomitant increased length of hospital stay and total cost per hospitalization. As cannabis use increases, the recognition and costs of its deleterious effects are necessary to incorporate into future clinical practice strategies and health policy.

Can Better Leadership Reduce Nursing Home Staff Turnover?

OBJECTIVES: To assess whether a measure of leadership support for worker safety, health, and well-being predicts staff turnover in nursing homes after controlling for other factors. DESIGN: This paper uses administrative payroll data to measure facility-level turnover and uses a survey measure of nursing home leadership commitment to workers. In addition, we use data from Medicare to measure various nursing home characteristics. SETTING AND PARTICIPANTS: Nursing homes with at least 30 beds serving adults in California, Ohio, and Massachusetts were invited to participate in the survey. The analysis sample included 495 nursing homes. METHODS: We used a multivariable ordinary least squares model with turnover rate as the dependent variable. We used an indicator for nursing homes who scored above the median on the measure of leadership that supports worker safety, health, and well-being. Control variables include bed count (deciles), ownership (corporate/noncorporate × for-profit/not-for-profit), percent of residents on Medicaid, state, being in a nonmetropolitan county, and total nurse staffing per patient day in the 2 quarters before the survey. RESULTS: The unadjusted turnover rate was lower for those nursing homes that scored higher on leadership commitment to worker safety, health, and well-being. After controlling for additional variables, greater leadership commitment was still associated with lower turnover but with some attenuation. CONCLUSIONS AND IMPLICATIONS: We find that nursing homes with leadership that communicated and demonstrated commitment to worker safety, health, and well-being had relatively fewer nurses leave during the study period, with turnover rates approximately 10% lower than homes without. These findings suggest that leadership may be a valuable tool for reducing staff turnover.

The Impact of Modest Price Increases and Single Cigar Restrictions on Youth Cigar Use.

INTRODUCTION: In 2011, Boston restricted cigar sales to packages of at least 4 cigars unless sold at a minimum of $2.50 per cigar. Nearly 200 localities in Massachusetts have since adopted policies establishing minimum pack quantities of 2-5 or minimum prices of $2.50-5.00 per cigar. The objective of this study was to examine the impact of these policies on youth cigar use. METHODS: Biennial data from 1999 to 2019 were obtained from the Massachusetts Youth Risk Behavior Survey and analyzed in 2023. Final analytic samples included 15,674 youth for the Boston analyses and 35,674 youth for the statewide analyses. For Boston, change in use was examined from prepolicy (1999-2011) to postpolicy (2012-2019). For statewide analyses, the percentage of the state covered by a policy was estimated. Multivariable logistic regressions examined the impact of cigar policies on cigar and cigarette use. Analyses were adjusted for sociodemographic characteristics and stratified by sex and race. RESULTS: Policy enactment was associated with significant decreases in the odds of cigar use in Boston (AOR: 0.28; 95% CI: 0.17-0.47) and statewide (AOR: 0.98; 95% CI: 0.98-0.99), with similar findings for cigarette use. Results were consistent among males and females statewide but only among males in Boston. By race statewide and in Boston, odds of cigar use decreased significantly among White, Black, and Hispanic youth, but not youth of other races. CONCLUSIONS: These findings indicate small increases in the quantity and price of cigar packs could discourage young people from purchasing and using cigars, providing significant benefits for local tobacco control efforts.

Development and validation of a community-level social determinants of health index for drug overdose deaths in the HEALing Communities Study.

INTRODUCTION: Social determinants of health (SDoH), such as socioeconomic status, education level, and food insecurity, are believed to influence the opioid crisis. While global SDoH indices such as the CDC's Social Vulnerability Index (SVI) and Area Deprivation Index (ADI) combine the explanatory power of multiple social factors for understanding health outcomes, they may be less applicable to the specific challenges of opioid misuse and associated outcomes. This study develops a novel index tailored to opioid misuse outcomes, tests the efficacy of this index in predicting drug overdose deaths across contexts, and compares the explanatory power of this index to other SDoH indices. METHODS: Focusing on four HEALing Communities Study (HCS) states (Kentucky, Massachusetts, New York and Ohio; encompassing 4269 ZIP codes), we identified multilevel SDoH potentially associated with opioid misuse and aggregated publicly available data for each measure. We then leveraged a random forest model to develop a composite measure that predicts age-adjusted drug overdose mortality rates based on SDoH. We used this composite measure to understand HCS and non-HCS communities in terms of overdose risk across areas of varying racial composition. Finally, we compared variance in drug overdose deaths explained by this index to variance explained by the SVI and ADI. RESULTS: Our composite measure included 28 SDoH measures and explained approximately 89 % percent of variance in age-adjusted drug overdose mortality across HCS states. Health care measures, including emergency department visits and primary care provider availability, were top predictors within the index. Index accuracy was robust within and outside of HCS communities and states. This measure identified high levels of overdose mortality risk in segregated communities. CONCLUSIONS: Existing SDoH indices fail to explain much variation in area-level overdose mortality rates. Having tailored composite indices can help us to identify places in which residents are at highest risk based on their composite contexts. A comprehensive index can also help to develop effective community interventions for programs such as HCS by considering the context in which people live.

Lessons Learned from Implementation of a Post-opioid Overdose Outreach Program in a Rural Massachusetts Community.

Post-overdose outreach programs can play a key role in reducing opioid overdose deaths and increasing access to healthcare services. The design and implementation of these programs, especially in rural communities, remains a gap in knowledge. We aimed to understand the lessons learned from the implementation experiences of the Community, Opportunity, Network, Navigation, Exploration, and Connection Team (CONNECT), a post-overdose outreach program based in a rural community in Massachusetts. We conducted semi-structured focus groups and interviews with 21 community partners after the first year of implementation in 2022. Participants included behavioral health, medical, public health, and public safety personnel involved in the design and implementation of CONNECT. Using a combination of thematic and rapid qualitative analysis methods, we inductively coded transcripts for salient themes. Themes were mapped onto the Health Equity Implementation Framework to better understand implementation and health-equity factors. Facilitators to implementation of this innovation included efficient inter-partner data sharing and coordination, and ability to offer numerous health services to clients to meet their needs. Key partners identified that CONNECT serves clients who use opioids, have previous involvement with the legal system, and reside in low-income areas within this rural region. Unhoused individuals and individuals who do not call 9-11 after an overdose were identified as populations of need that CONNECT was missing due to structural barriers. Partners shared how the context of this rural community came with challenges related to limited access to health services and pervasive stigma towards substance use, while it was also perceived to foster a culture of collaboration and unity among multidisciplinary key partners. Post overdose outreach programs serve clients with complex health needs. The ability to access services for these health needs is shaped by the post overdose outreach program and its key partners, and by the broader community context. As post-overdose outreach programs continue to expand as a promising strategy to address the opioid overdose crisis, there exists a need to contextualize implementation strategies to inform adaptations and develop best-practices.

Geographic Variation in Health Insurance Coverage:United States, 2022.

Objectives-This report presents state, regional, and national estimates of the percentage of people who were uninsured, had private health insurance coverage, and had public health insurance coverage at the time of the interview. Methods-Data from the 2022 National Health Interview Survey were used to estimate health insurance coverage. Estimates were categorized by age group, state Medicaid expansion status, urbanization level, expanded region, and state. Estimates by state Medicaid expansion status, urbanization level, and expanded region were based on data from all 50 states and the District of Columbia. State estimates are shown for 32 states and the District of Columbia for people younger than age 65 and adults ages 18-64, and 27 states for children. Results-In 2022, among people younger than age 65, 10.2% were uninsured, 64.0% had private coverage, and 28.2% had public coverage at the time of the interview. Among adults ages 18-64, the percentage who were uninsured ranged from 10.1% for those living in large fringe (suburban) metropolitan counties to 13.9% for both those living in nonmetropolitan counties and large central metropolitan counties. Adults ages 18-64 living in non-Medicaid expansion states were twice as likely to be uninsured (19.6%) compared with those living in Medicaid expansion states (9.1%). A similar pattern was observed among children ages 0-17 years. The percentage of adults ages 18-64 who were uninsured was significantly higher than the national average (12.4%) in Florida (17.9%), Georgia (21.2%), Tennessee (21.6%), and Texas (27.0%), and significantly lower than the national average in Maryland (7.0%), Massachusetts (3.0%), Michigan (6.5%), New York (5.6%), Ohio (8.6%), Pennsylvania (7.2%), Virginia (8.5%), Washington (7.3%), and Wisconsin (7.0%). The percentage of people younger than age 65 who were uninsured was lowest in the New England region (3.5%).

Travel distance and national access to gender-affirming surgery.

BACKGROUND: Gender-affirming surgery is unequally distributed across the United States due to resource allocation, state-based regulations, and the availability of trained physicians. Many individuals seeking gender-affirming surgery travel vast distances to receive care. This study aims to quantify the distances that individuals travel to receive gender-affirming surgery based on procedure type and patient home-of-record location. METHODS: Patients in the Optum Clinformatics Data Mart who underwent gender-affirming surgery were identified via Current Procedural Terminology codes. Data on patient demographics, procedural care, and location of patient and provider were collected. To be included, a patient had to meet diagnostic criteria to receive gender-affirming surgery and have a recorded surgical procedure reimbursed as part of gender-affirming surgery per the Centers for Medicare and Medicaid Services guidelines. Patients residing or receiving care outside the continental United States were excluded. Distances between the ZIP Code of each patient's home of record and the location where the gender-affirming surgery was performed were calculated via the Google Maps Distance Matrix API. Distance traveled for gender-affirming surgery by patient state and gender-affirming surgery procedure were determined. Multivariate linear regression analysis determined predictors of distance traveled for gender-affirming surgery, whereas multivariate logistic regression identified variables associated with an increased likelihood of out-of-state travel to gender-affirming surgery. RESULTS: Across 86 million longitudinal patient records, the study population included 2,743 records corresponding to 1,735 patients who received gender-affirming surgery between January 2003 and June 2020. The median distance traveled for gender-affirming surgery was 191 miles (mean: 391.5), and 36.0% of patients traveled out of their state of residence. Every patient from West Virginia, Wyoming, South Dakota, Mississippi, and Delaware traveled out of state for gender-affirming surgery. Patients with homes of record in California (18.4%), Massachusetts (20.7%), and Oregon (19.0%) were the least likely to travel out-of-state for gender-affirming surgery out of states with more than 10 gender-affirming surgery encounters. The main predictors for out-of-state travel included both feminizing and masculinizing genital surgery, as well as an insurance coverage with increased provider options. Additionally, patients traveled shorter distances for gender-affirming surgery after the post-2014 Affordable Care Act expansion compared to pre-2014. CONCLUSION: Patients receiving gender-affirming surgery in the United States travel great distances for their care, often receiving their care from out-of-state providers. Restrictive guidelines imposed by state laws on both the access to and provision of gender-affirming surgery compound the myriad of common difficulties that patients face. It is imperative to discuss potential factors that may mitigate these barriers for those who require gender-affirming surgery.

Development of a Maternal Equity Safety Bundle to Eliminate Racial Inequities in Massachusetts.

OBJECTIVE: The PNQIN (Perinatal-Neonatal Quality Improvement Network of Massachusetts) sought to adapt the Reduction of Peripartum Racial and Ethnic Disparities Conceptual Framework and Maternal Safety Consensus Bundle by selecting and defining measures to create a bundle to address maternal health inequities in Massachusetts. This study describes the process of developing consensus-based measures to implement the PNQIN Maternal Equity Bundle across Massachusetts hospitals participating in the Alliance for Innovation on Maternal Health Initiative. METHODS: Our team used a mixed-methods approach to create the PNQIN Maternal Equity Bundle through consensus including a literature review, expert interviews, and a modified Delphi process to compile, define, and select measures to drive maternal equity-focused action. Stakeholders were identified by purposive and snowball sampling and included obstetrician-gynecologists, midwives, nurses, epidemiologists, and racial equity scholars. Dedoose 9.0 was used to complete an inductive analysis of interview transcripts. A modified Delphi method was used to reach consensus on recommendations and measures for the PNQIN Maternal Equity Bundle. RESULTS: Twenty-five interviews were completed. Seven themes emerged, including the need for 1) data stratification by race, ethnicity and language; 2) performance of a readiness assessment; 3) culture shift toward equity; 4) inclusion of antiracism and bias training; 5) addressing challenges of nonacademic hospitals; 6) a life-course approach; and 7) selection of timing of implementation. Twenty initial quality measures (structure, process, and outcome) were identified through expert interviews. Group consensus supported 10 measures to be incorporated into the bundle. CONCLUSION: Structure, process, and outcome quality measures were selected and defined for a maternal equity safety bundle that seeks to create an equity-focused infrastructure and equity-specific actions at birthing facilities. Implementation of an equity-focused safety bundle at birthing facilities may close racial gaps in maternal outcomes.

Paying for Medical and Social Complexity in Massachusetts Medicaid.

Importance: The first MassHealth Social Determinants of Health payment model boosted payments for groups with unstable housing and those living in socioeconomically stressed neighborhoods. Improvements were designed to address previously mispriced subgroups and promote equitable payments to MassHealth accountable care organizations (ACOs). Objective: To develop a model that ensures payments largely follow observed costs for members with complex health and/or social risks. Design, Setting, and Participants: This cross sectional study used administrative data for members of the Massachusetts Medicaid program MassHealth in 2016 or 2017. Participants included members who were eligible for MassHealth's managed care, aged 0 to 64 years, and enrolled for at least 183 days in 2017. A new total cost of care model was developed and its performance compared with 2 earlier models. All models were fit to 2017 data (most recent available) and validated on 2016 data. Analyses were begun in February 2019 and completed in January 2023. Exposures: Model 1 used age-sex categories, a diagnosis-based morbidity relative risk score (RRS), disability, serious mental illness, substance use disorder, housing problems, and neighborhood stress. Model 2 added an interaction for unstable housing with RRS. Model 3 added rurality and updated diagnosis-based RRS, medication-based RRS, and interactions between sociodemographic characteristics and morbidity. Main Outcome and Measures: Total 2017 annual cost was modeled and overall model performance (R2) and fair pricing of subgroups evaluated using observed-to-expected (O:E) ratios. Results: Among 1 323 424 members, mean (SD) age was 26.4 (17.9) years, 53.4% were female (46.6% male), and mean (SD) 2017 cost was $5862 ($15 417). The R2 for models 1, 2, and 3 was 52.1%, 51.5%, and 60.3%, respectively. Earlier models overestimated costs for members without behavioral health conditions (O:E ratios 0.94 and 0.93 for models 1 and 2, respectively) and underestimated costs for those with behavioral health conditions (O:E ratio >1.10); model 3 O:E ratios were near 1.00. Model 3 was better calibrated for members with housing problems, those with children, and those with high morbidity scores. It reduced underpayments to ACOs whose members had high medical and social complexity. Absolute and relative model performance were similar in 2016 data. Conclusions and Relevance: In this cross-sectional study of data from Massachusetts Medicaid, careful modeling of social and medical risk improved model performance and mitigated underpayments to safety-net systems.

Midwives Safeguarding Abortion Access: Establishing Medication Abortion Services.

The abortion access landscape for patients has changed dramatically in the wake of the US Supreme Court Dobbs v. Jackson Women's Health Organization decision in June of 2022. In response, the Division of Midwifery at Baystate Medical Center in Springfield, Massachusetts, began a medication abortion service for both established patients and those who may seek care from out of state. This service increases access to abortion care now while also providing the clinical experience needed for student nurse-midwives to become future abortion providers. This article outlines the steps taken to implement a medication abortion service and ways it can be adopted by other midwifery practices. Strategies to address possible clinical, administrative, and logistical challenges are addressed. Finally, this article is a call to action because midwives are well qualified to provide high quality, safe, and comprehensive medication abortion within the midwifery model of care.