Understanding social needs screening and demographic data collection in primary care practices serving Maryland Medicare patients.

BACKGROUND: Health outcomes are strongly impacted by social determinants of health, including social risk factors and patient demographics, due to structural inequities and discrimination. Primary care is viewed as a potential medical setting to assess and address individual health-related social needs and to collect detailed patient demographics to assess and advance health equity, but limited literature evaluates such processes. METHODS: We conducted an analysis of cross-sectional survey data collected from n = 507 Maryland Primary Care Program (MDPCP) practices through Care Transformation Requirements (CTR) reporting in 2022. Descriptive statistics were used to summarize practice responses on social needs screening and demographic data collection. A stepwise regression analysis was conducted to determine factors predicting screening of all vs. a targeted subset of beneficiaries for unmet social needs. RESULTS: Almost all practices (99%) reported conducting some form of social needs screening and demographic data collection. Practices reported variation in what screening tools or demographic questions were employed, frequency of screening, and how information was used. More than 75% of practices reported prioritizing transportation, food insecurity, housing instability, financial resource strain, and social isolation. CONCLUSIONS: Within the MDPCP program there was widespread implementation of social needs screenings and demographic data collection. However, there was room for additional supports in addressing some challenging social needs and increasing detailed demographics. Further research is needed to understand any adjustments to clinical care in response to identified social needs or application of data for uses such as assessing progress towards health equity and the subsequent impact on clinical care and health outcomes.

Maryland School Health partners' Perspectives on the Impact of COVID-19 on School Health Services for Grades K-12.

BACKGROUND: The COVID-19 pandemic disrupted routine school operations, including school health programs. This study aims to describe the pandemic's impact on school health service delivery from the perspective of Maryland school health partners. METHODS: We conducted semi-structured interviews with health service representatives from public schools (K-12) between July and December 2021. Interviews were recorded, transcribed, and coded through an iterative process to develop analytic themes. RESULTS: Twenty school health partners from 15 Maryland school districts participated. Participants identified key impacts of COVID-19 on school health: (1) COVID-19 disrupted delivery of services such as dental, mental health, and preventative care, (2) COVID-19 necessitated changes in service delivery platforms, (3) COVID-19 affected school health staff through increased responsibilities and staffing shortages, and (4) COVID-19 prompted schools to become hubs for community outreach and health education. IMPLICATIONS FOR SCHOOL HEALTH POLICY, PRACTICE, AND EQUITY: Consideration of school health service disruptions and the increased demands on service providers may inform future priorities for school administrators, health departments, and policymakers. CONCLUSIONS: COVID-19 impacted the timing and method of service delivery as well as the roles of school health staff and schools themselves in public health and education.

An assessment of the linkages between GM crop biotechnology and climate change mitigation.

This article provides an analysis and evaluation of peer-reviewed evidence on the contribution of crop biotechnology to climate change mitigation and adaption. While there is a range of agricultural technologies and products that contribute to climate change mitigation, this literature landscape analysis focuses on the development of genetically modified traits, their use and adoption in major commodity crops and responsive changes in production techniques. Jointly, these technologies and products are contributing to climate change mitigation, yet the technology, the literature and evidence is still evolving as more sophisticated research methods are used with greater consistency. The literature analysis is undertaken with consideration of the consequential impact that regulatory regimes have on technology development. This assessment utilizes the Maryland Scientific Methods Scale and citation analysis, concluding that GM crops provide benefits that contribute to climate change mitigation.

Postpartum long-acting reversible contraceptive adoption after a statewide initiative.

OBJECTIVES: To examine the effects of a comprehensive, multiyear (2015-2020) statewide contraceptive access intervention in Delaware on the contraceptive initiation of postpartum Medicaid patients. The program aimed to increase access to all contraceptives, including long-acting reversible contraceptives (LARC). The program included interventions specifically targeting postpartum patients (Medicaid payment reform and hospital-based immediate postpartum (IPP) LARC training) and interventions in outpatient settings (provider training and operational supports). DATA SOURCES AND STUDY SETTING: We used Medicaid claims data between 2012 and 2019, from Delaware and Maryland (a comparison state), to identify births and postpartum contraceptive methods up to 60 days postpartum among patients aged 15-44 years who were covered in a full-benefit eligibility category. STUDY DESIGN: Using difference-in-differences, we assessed changes in LARC, tubal ligation, and short-acting methods (oral contraceptive, injectable, patch/ring). LARC rates were assessed at 60 days after delivery and on an immediate postpartum basis. Other methods were only assessed at 60 days. Analyses were conducted separately for an early-adopting high-capacity hospital (that delivers approximately half of all Medicaid financed births) and for all other later-adopting hospitals in the state. DATA COLLECTION/EXTRACTION METHODS: Data were extracted from administrative claims. PRINCIPAL FINDINGS: The program increased postpartum LARC insertions by 60 days after delivery by 11.7 percentage points (95% CI: 10.7, 12.8) in the early-adopting hospital and 6.9 percentage points (95% CI: 4.8, 5.9) in later-adopting hospitals. Increases in IPP versus outpatient LARC drove the change, but we did not find evidence that IPP crowded-out outpatient LARC services. We observed decreases in short-acting methods, suggesting substitution between methods, but the share of patients with any method increased at the early-adopting hospital (5.2 percentage points; 95% CI: 3.5, 6.9) and was not statistically significantly different at the later-adopting hospitals. CONCLUSIONS: Direct reimbursement for IPP LARC, in combination with provider training, had a meaningful impact on the share of Medicaid-enrolled postpartum women with LARC claims.

The association between community-level economic deprivation and incidences of emergency department visits on account of attempted suicides in Maryland.

Background: Suicide is a major cause of mortality in the United States, accounting for 14.5 deaths per 100,000 population. Many emergency department (ED) visits in the United States are due to attempted suicides. Suicide attempts predict subsequent completed suicides. Socioeconomic factors, such as community-level socioeconomic deprivation, significantly affect many traditional risk factors for attempted suicides and suicides. Aim: To determine the association between community-level socioeconomic deprivation and ED visits for attempted suicide in Maryland. Methods: A retrospective analysis of attempted suicides in the Maryland State Emergency Department Database from January 2018 to December 2020. Community-level socioeconomic deprivation was measured using the Distress Community Index (DCI). Multivariate regression analyses were conducted to identify the association between DCI and attempted suicides/self-harm. Results: There were 3,564,987 ED visits reported in the study period, with DCI data available for 3,236,568 ED visits; 86.8% were younger than 45 years, 64.8% were females, and 54.6% non-Hispanic Whites. Over the study period, the proportion of ED visits due to attempted suicide was 0.3%. In the multivariate logistic regression, compared to prosperous zones, those in comfortable (OR = 0.80, 95% CI: 0.73-0.88, p < 0.01), Mid-Tier (OR = 0.76, 95%CI:0.67-0.86, p < 0.01), At-Risk (OR = 0.77; 95%CI: 0.65-0.92, p < 0.01) and Distressed zones (OR = 0.53; 95% CI:0.42-0.66, p < 0.01) were less likely to visit the ED for attempted suicide. Conclusion: Prosperous communities had the highest rate of attempted suicides, with the risk of attempted suicide increasing as individuals move from the least prosperous to more prosperous areas.

Economic Burden of Inpatient Care for Mitral Regurgitation in Maryland.

BACKGROUND: Mitral regurgitation (MR) is the most common valvular disease in the United States and increases the risk of death and hospitalization. The economic burden of MR in the United States is not known. METHODS AND RESULTS: We analyzed inpatient hospitalization data from the 1 221 173 Maryland residents who had any in-state admissions from October 1, 2015, to September 30, 2019. We assessed the total charges for patients without MR and for patients with MR who underwent medical management, transcatheter mitral valve repair or replacement, or surgical mitral valve repair or replacement. During the study period, 26 076 inpatients had a diagnosis of MR. Compared with patients without MR, these patients had more comorbidities and higher inpatient mortality. Patients with medically managed MR incurred average total charges of $23 575 per year; MR was associated with $10 559 more in charges per year and an incremental 3.1 more inpatient days per year as compared with patients without MR. Both surgical mitral valve repair or replacement and transcatheter mitral valve repair or replacement were associated with higher charges as compared with medical management during the year of intervention ($47 943 for surgical mitral valve repair or replacement and $63 108 for transcatheter mitral valve repair or replacement). Annual charges for both groups were significantly lower as compared with medical management in the second and third years postintervention. CONCLUSIONS: MR is associated with higher mortality and inpatient charges. Patients who undergo surgical or transcatheter intervention incur lower charges compared with medically managed MR patients in the years after the procedure.

The effect of Section 1557 of the Affordable Care Act on surgical outcomes in non-English primary language speakers.

BACKGROUND: In 2016, Section 1557 mandated use of qualified language interpreter services. We examined the effect of Section 1557 on surgical outcomes. METHODS: Utilizing the Healthcare Cost and Utilization Project State Inpatient Database (2013-2020), we performed a difference-in-differences analysis of adult surgical patients (Maryland, New Jersey). The exposure was implementation of Section 1557 (pre-period: 2013-2015; post-period: 2017-2020). The treatment group was non-English primary language speakers (n-EPL). The comparison group was English primary language speakers (EPL). Outcomes included length-of-stay, postoperative complications, mortality, discharge disposition, and readmissions. RESULTS: Among 2,298,584 patients, 198,385 (8.6%) were n-EPL. After implementation of Section 1557, n-EPL saw no difference in readmission rates but did experience significantly higher rates of mortality (+0.43%, p â€‹= â€‹0.049) and non-routine discharges (+1.81%, p â€‹= â€‹0.031) in Maryland, and higher rates of post-operative complications (+0.31%, p â€‹= â€‹0.001) in both states, compared to pre-Section 1557. CONCLUSIONS: Contrary to our hypothesis, Section 1557 did not improve surgical outcomes for n-EPL.

Addressing housing-related social needs for Medicaid beneficiaries: a qualitative assessment of Maryland's Medicaid §1115 waiver program.

BACKGROUND: While health care payers are increasingly considering approaches that help support stable and affordable housing for their beneficiaries, experience with these initiatives is limited. Through its §1115 HealthChoice waiver, Maryland Medicaid has begun experimenting with programs designed to pay for housing and tenancy support/case management services. This study investigates barriers and facilitators to the success of Maryland's pilot program initiative - Assistance in Community Integration Services (ACIS). METHODS: The study focused on key stakeholders employed by the four Lead Entities that currently participate in the ACIS program. The stakeholders included members of each Lead Entity's administration, direct service providers, state and local government officials, and case managers from local hospitals. The convenience sample was selected through an initial list of stakeholders and was supplemented using snowball sampling methods. Interviews were audio recorded and turned into transcripts via Otter.ai and then analyzed using NVivo by two independent reviewers. RESULTS: A total of 23 interviews were conducted between February 2022 and May 2022, representing a broad range of stakeholders across different Maryland geographies. A total of 4 themes were identified through the course of the interviews. Stakeholders identified difficulty finding housing for the target population in a tight housing market, challenges with communication within the program and with its clients, and problems with non-healthcare providers documenting services for reimbursement. At the same time, ACIS was seen as creating opportunities for organizations to work together across siloes in meeting client needs. CONCLUSIONS: The findings of this study helps to highlight Medicaid §1115 waivers as a novel approach to using Medicaid funds to support tenancy-based services, such as ACIS and to improve the lives of individuals while reducing healthcare costs. Implementation of the ACIS program in Maryland has been a resounding success in helping individuals obtain and sustain stable housing. However, continued efforts to align capacity with demand, streamline billing and reimbursement and improve communication with clients and across partners will need to be prioritized. The program also highlights the growing need to address root causes of housing insecurity including the limited supply of affordable housing.

The association between severe maternal morbidity and mortality and race/ethnicity with community type in Maryland.

BACKGROUND: Severe maternal morbidity and mortality are increasing in the United States with continued healthcare disparities among Non-Hispanic Black women. However, there is sparse data on the disparities of severe maternal morbidity and mortality by race/ethnicity as it relates to community type. OBJECTIVE: To determine whether residing in rural communities increases the racial/ethnic disparities in severe maternal morbidity and mortality. DESIGN: This study is a cross-sectional analysis of women admitted for delivery from 2015 to 2020. A total of 204,140 adults who self-identified as women, were admitted for delivery, who resided in Maryland, and were between the ages 15 and 54 were included in our analysis. Community type was defined as either rural or urban. METHODS: A multivariable logistic regression, which included an interaction term between race/ethnicity and community type, was used to assess the effect of community type on the relationship between race/ethnicity and severe maternal morbidity and mortality. Data were obtained from the Maryland Health Service Cost Review Commission database. The primary outcome was a composite, binary variable of severe maternal morbidity and mortality. Exposures of interest were residence in either rural or urban counties in Maryland and race/ethnicity. RESULTS: Our study found that after adjusting for confounders, odds of severe maternal morbidity and mortality were 65% higher in Non-Hispanic Black women (odds ratio 1.65, 95% confidence interval: 1.46-1.88, p < 0.001) and 54% higher in Non-Hispanic Asian women (odds ratio 1.54, 95% confidence interval: 1.24-1.90, p < 0.001) compared to Non-Hispanic White women. The interaction term used to determine whether community type modified the relationship between race/ethnicity and severe maternal morbidity and mortality was not statistically significant for any race/ethnicity (Non-Hispanic Black women, p = 0.60; Non-Hispanic Asian women, p = 0.91; Hispanic women, p = 0.15; Other/Unknown race/ethnicity, p = 0.54). CONCLUSION: Although our study confirmed the known disparities in maternal outcomes by race/ethnicity, we found that residing in rural communities did not increase racial/ethnic disparities.

Geospatial Assessment to Improve Time to Treatment (GAITT).

INTRODUCTION: Geographic information systems (GIS) can optimize trauma systems by identifying ways to reduce time to treatment. Using GIS, this study analyzed a system in Maryland served by Johns Hopkins Suburban Hospital and the University of Maryland Capital Region Medical Center. It was hypothesized that including Walter Reed National Military Medical Center (WRNMMC) in the Maryland trauma system in an access simulation would provide increased timely access for a portion of the local population. MATERIALS AND METHODS: Using ArcGIS Online, catchment areas with and without WRNMMC were built. Catchment areas captured Johns Hopkins Suburban Hospital, University of Maryland Capital Region Medical Center, and WRNMMC at 5-, 10-, 15-, 20-, 25-, 30-, 45-, and 60-min. Various time conditions were simulated (12 am, 8 am, 12 pm, and 5 pm) on a weekday and weekend day. Data was enriched with 19 variables addressing population size, socioeconomic status, and diversity. RESULTS: All catchment areas benefited on at least one time-day simulation, but the largest increases in mean population coverage were in the 0-5 (10.5%), 5-10 (12.3%), and 10-15 min (5.7%) catchment areas. These areas benefited regardless of time-day simulation. The lowest increase in mean population coverage was seen in the 20-25-min catchment area (0.1%). Subgroup analysis revealed that all socioeconomic status and diversity groups gained coverage. CONCLUSIONS: This study suggests that incorporating WRNMMC into the Maryland trauma system might yield increased population coverage for timely trauma access. If incorporated, WRNMMC may provide nonstop or flexible coverage, possibly in different traffic scenarios or while civilian centers are on diversion status.

The relationship between neighborhood typologies and self-rated health in Maryland: A latent class analysis.

Despite widespread evidence that neighborhood conditions impact health, few studies apply theory to clarify the physical and social factors in communities that drive health outcomes. Latent class analysis (LCA) addresses such gaps by identifying distinct neighborhood typologies and the joint influence that neighborhood-level factors play in health promotion. In the current study, we conducted a theory-driven investigation to describe Maryland neighborhood typologies and examined differences in area-level self-rated poor mental and physical health across typologies. We conducted an LCA of Maryland census tracts (n = 1384) using 21 indicators of physical and social characteristics. We estimated differences in tract-level self-rated physical and mental health across neighborhood typologies using global Wald tests and pairwise comparisons. Five neighborhood classes emerged: Suburban Resourced (n = 410, 29.6%), Rural Resourced (n = 313, 22.6%), Urban Underserved (n = 283, 20.4%), Urban Transient (n = 226, 16.3%), Rural Health Shortage (n = 152, 11.0%). Prevalence of self-rated poor physical and mental health varied significantly (p < 0.0001) by neighborhood typology, with the Suburban Resourced neighborhood class demonstrating the lowest prevalence of poor health and the Urban Underserved neighborhoods demonstrating the poorest health. Our results highlight the complexity of defining "healthy" neighborhoods and areas of focus to mitigate community-level health disparities to achieve health equity.

The Distressed Communities Index: A Measure of Community-Level Economic Deprivation and Rate of Firearm Injuries in Maryland.

BACKGROUND: This study aimed to investigate the relationship between community-level economic deprivation, as measured by the Distressed Communities Index (DCI) and ED visits on account of firearm injuries (assaults and unintentional). METHODS: A retrospective analysis was conducted using the Maryland State Emergency Department Databases (SEDD) from January 2019 to December 2020 to explore the association between the DCI and ED visits because of firearm injuries (assaults and unintentional). The DCI utilizes 7 variables, based on zip codes, generating 5 levels of socioeconomic distress (prosperous, comfortable, mid-tier, at-risk, and distressed). In a multivariate analysis, we adjusted for age, sex, mental conditions, alcohol addiction, substance abuse, smoking, race/ethnicity, insurance type, and median income. RESULTS: Of the 2725 ED visits for firearm injuries, 84.5% were Black and 88.5% male. The median age was 27 (21-35) years, and the mortality rate was 17.7%. A statistically significant association was found between economic deprivation and ED visits for firearm injuries. Compared to prosperous communities, the odds ratios (ORs) were comfortable (OR = 1.33, 95% CI 1.04-1.71, P = .03), mid-tier (OR = 1.69, 95% CI 1.33-2.15, P < .001), at-risk (OR = 1.53, 95% CI 1.17-1.99, P < .001), and distressed (OR = 2.65, 95% CI 2.11-3.33, P < .001). DISCUSSION: The study highlights the significant association between community-level economic deprivation, as measured by the Distressed Communities Index, and the incidence of firearm injuries in Maryland. The findings underscore the importance of addressing socioeconomic disparities and implementing targeted interventions to reduce firearm-related injuries in economically distressed communities.

Practical Guidance for the Development of Rosie, a Health Education Question-and-Answer Chatbot for New Mothers.

Communities of color experience higher maternal and infant mortality, as well as a host of other adverse outcomes, during pregnancy and postpartum. To address this, our team is developing a free, user-friendly, question-answering chatbot called Rosie. Chatbots have gained significant popularity due to their scalability and success in individualizing resources. In recent years, scientific communities and researchers have started recognizing this technology's potential to inform communities, promote health outcomes, and address health disparities. The development of Rosie is an interdisciplinary project, with teams focused on the technical build of the application (app), the development of machine learning models, and community outreach, making Rosie a chatbot built with the input from the communities it aims to serve. From June to October 2022, more than 20 demonstration sessions were conducted in Washington, District of Columbia, Maryland, and Virginia, where a total of 109 pregnant women and new mothers of color could interact with Rosie. Results from the live demonstrations showed that 75% of mothers searched for maternity and baby-related information at least once a week and more than 90% of participants expressed the likelihood to use the app. Most of the participants inquired about their baby's development, nutrition for babies, and identifying and addressing the causes of certain symptoms and conditions, accounting for about 80% of the total questions asked. Mother-related questions in the community demonstrations were mainly about pregnancy. The high level of interest in the chatbot is a clear indication of the need for more resources. Rosie aims to help close the racial gap in maternal and infant health disparities by providing new mothers with easy access to reliable health information.

Screening for Social Determinants of Health Among Medicare Beneficiaries in Primary Care During the Covid-19 Pandemic in Prince George's County, Maryland.

Primary care providers in Prince George's County, Maryland reported inconsistencies in their ability to identify and refer patients with social care needs. This project aimed to improve health outcomes of Medicare beneficiaries by implementing social determinant of health (SDOH) screening to identify unmet needs and improve rates of referral to appropriate services. Buy-in was achieved from providers and frontline staff via stakeholder meetings at a private primary care group practice. The Health Leads questionnaire was modified and integrated into the electronic health record. Medical assistants (MA) were trained to conduct screening and initiate care plan referrals prior to visits with the medical provider. During implementation, 96.25% of patients (n = 231) agreed to screening. Of these, 13.42% (n = 31) screened positive for at least one SDOH need, and 48.39% (n = 15) reported multiple social needs. Top needs included social isolation (26.23%), literacy (16.39%), and financial concerns (14.75%). All patients screening positive for one or more social needs were provided referral resources. Patients who identified as being of Mixed or Other race had significantly higher rates of positive screens (p = 0.032) compared to Caucasians, African Americans, and Asians. Patients were more likely to report SDOH needs during in-person visits (17.22%) compared to telehealth visits (p = 0.020). Screening for SDOH needs is feasible and sustainable and can improve the identification of SDOH needs and resource referrals. A limitation of this project was the lack of follow-up to determine whether patients with positive SDOH screens had been successfully linked to resources after initial referral.

Development and Implementation of a Maryland State Program Providing Hospital Payment Incentives for Reduction in Readmission Disparities.

BACKGROUND: Social factors are a key determinant of hospital readmission. We describe the development of the country's first statewide policy providing hospitals with financial incentives to reduce readmission disparities. OBJECTIVE: To describe the development and evaluation of a novel program that measures hospital-level disparity in readmission and rewards hospitals for improvement. RESEARCH DESIGN: Observational study using inpatient claims. PARTICIPANTS: Baseline data included 454,372 all-cause inpatient discharges in 2018 and 2019. Of the included discharges, 34.01% involved Black patients, 40.44% involved female patients, 33.1% involved patients covered by Medicaid, and 11.76% involved patients who were readmitted. Mean age was 55.18. MEASURES: The key measure was the percentage change over time within the hospital in readmission disparity. Readmission disparity was measured using a multilevel model that gauged the association between social factors and readmission risk at a given hospital. Three social factors (Race, Medicaid coverage, and Area Deprivation Index) were combined into an index reflecting exposure to social adversity. RESULTS: Of the State's 45 acute-care hospitals, 26 exhibited improved disparity performance in 2019. LIMITATIONS: The program is limited to inpatients within a single state; the analysis does not provide evidence on the causal relationship between the intervention and readmission disparities. CONCLUSION: This represents the first large-scale effort in the US to link disparities to hospital payment. Because the methodology relies on claims data, it could easily be adopted elsewhere. The incentives are directed to within-hospital disparities, thus mitigating concerns about penalizing hospitals with patients with greater social exposure. This methodology could be used to measure disparity in other outcomes.

Transforming Specialty Care Delivery and Payment Under Global Budgets-Insights from the Provision of Surgical Services in Maryland.

This Viewpoint discusses Maryland's global budget revenue model, which centrally regulates reimbursement rates for all payers via a hospital-specific, prospectively set cap on total annual revenue across all care sites.

Perceived Barriers and Social Cultural Factors Associated With Advance Care Planning Conversations Among Chinese American Older Adults.

Despite the well-documented benefits of advance care planning (ACP), persistent racial and ethnic disparities continue to exist in ACP engagement. Guided by a social ecological model, this study examined perceived barriers and sociocultural factors associated with informal ACP conversations among Chinese American older adults. A purposive sample of 281 community-dwelling older Chinese Americans aged 55 years or older in Arizona and Maryland completed a survey in 2018. Hierarchical logistic regression models were conducted. There were 26.5% of participants who engaged in advance care planning. Lower perceived barriers and sociocultural factors (i.e., length of stay in the U.S. and English language proficiency) were positively associated with ACP conversations. Social support had a significant moderation effect. Findings highlighted the importance of language services and social support in facilitating ACP discussions among older Chinese immigrants. Effective strategies are needed to reduce the barriers to ACP at various levels for older Chinese American populations.

The impact of a statewide payment reform on transcatheter aortic valve replacement (TAVR) utilization and readmissions.

BACKGROUND: Transcatheter aortic valve replacement (TAVR) is an increasingly used but relatively expensive procedure with substantial associated readmission rates. It is unknown how cost-constrictive payment reform measures, such as Maryland's All Payer Model, impact TAVR utilization given its relative expense. This study investigated the impact of Maryland's All Payer Model on TAVR utilization and readmissions among Maryland Medicare beneficiaries. METHODS: This was a quasi-experimental investigation of Maryland Medicare patients undergoing TAVR between 2012 and 2018. New Jersey data were used for comparison. Longitudinal interrupted time series analyses were used to study TAVR utilization and difference-in-differences analyses were used to investigate post-TAVR readmissions. RESULTS: During the first year of payment reform (2014), TAVR utilization among Maryland Medicare beneficiaries dropped by 8% (95% confidence interval [CI]: -9.2% to -7.1%; p < 0.001), with no concomitant change in TAVR utilization in New Jersey (0.2%, 95% CI: 0%-1%, p = 0.09). Longitudinally, however, the All Payer Model did not impact TAVR utilization in Maryland compared to New Jersey. Difference-in-differences analyses demonstrated that implementation of the All Payer Model was not associated with significantly greater declines in 30-day post-TAVR readmissions in Maryland versus New Jersey (-2.1%; 95% CI: -5.2% to 0.9%; p =0.1). CONCLUSIONS: Maryland's All Payer Model resulted in an immediate decline in TAVR utilization, likely a result of hospitals adjusting to global budgeting. However, beyond this transition period, this cost-constrictive reform measure did not limit Maryland TAVR utilization. In addition, the All Payer Model did not reduce post-TAVR 30-day readmissions. These findings may help inform expansion of globally budgeted healthcare payment structures.

Emergency General Surgery Procedures in Older Adults: Where You Live Matters!

BACKGROUND: Neighborhood location and its built environment are important social determinants of health that impact health outcomes. Older adults (OAs) represent the fastest growing population in the United States with many requiring emergency general surgery procedures (EGSPs). The aim of this study was to evaluate whether neighborhood location, represented by zip code, influences mortality and disposition in OAs undergoing EGSPs in Maryland. METHODS: A retrospective review was undertaken of hospital encounters in the Maryland Health Services Cost Review Commission from 2014 to 2018 of OAs undergoing EGSPs. Older adults residing in the 50 most affluent (MANs) and 50 least affluent (LANs) neighborhoods based on zip codes were compared. Data collected included demographics, all patient-refined (APR)-severity of illness (SOI), APR-risk of mortality (ROM), Charlson Comorbidity Index, complications, mortality, and discharge to a higher level of care. RESULTS: Of the 8661 OAs analyzed, 2362 (27.3%) resided in MANs and 6299 (72.7%) in LANs. Older adults in LANs were more likely to undergo EGSPs, had higher APR-SOI and APR-ROM, and experienced more complications, discharge to higher level of care, and mortality. Living in LANs was independently associated with discharge to higher level of care (OR 1.56, 95% CI: 1.38-1.77, P < .001) and increased mortality (OR 1.35, 95% CI: 1.07-1.71, P = .01). DISCUSSION: Mortality and quality of life in OAs undergoing EGSPs are dependent on environmental factors likely determined by neighborhood location. These factors need to be defined and incorporated in predictive models of outcomes. Public health opportunities to improve outcomes for those who are socially disadvantaged are necessary.

An Increase in the Use of ICD-10 Z-Codes for Social Risks and Social Needs: 2015 to 2019.

Attention to 10th Revision of the International Classification of Disease (ICD-10)-CM Z-codes as a mechanism for capturing social risk has grown over the years. However, it remains unclear whether the use of Z-codes has changed over time. This study sought to examine the trends in Z-code use between their introduction in 2015 and the end of 2019 across 2 markedly different states. Using the Healthcare Cost and Utilization Project, all emergency department visits or hospitalizations at short-term general hospitals in Florida and Maryland from 2015 Q4 through 2019 were identified. This study focused on a subset of the Z-codes that are intended to capture social risk to identify the percentage of encounters with a Z-code, percentage of facilities using Z-codes, and facility median of number of encounters with a Z-code per 1000 encounters across quarters, states, and care settings. In total, 495,212 (0.84%) of 58,993,625 encounters had a Z-code. Despite Florida's higher area deprivation, Z-codes were less frequently used and increasing more slowly than when compared with those in Maryland. There were 2.1 times the use of Z-codes in Maryland than in Florida at the encounter level. This difference was also seen when evaluating the median number of encounters with a Z-code, per 1000 encounters (12.1 vs. 3.4). Z-codes were more commonly used at major teaching facilities, and for patients who were uninsured or on Medicaid. The use of ICD-10-CM Z-codes has increased over time, with this increase occurring at nearly all short-term general hospitals. Their use was higher in Maryland than in Florida and among major teaching facilities.