Mothers and Babies Virtual Group (MBVG) for perinatal Latina women: study protocol for a hybrid type-1 effectiveness-implementation randomized controlled trial.

BACKGROUND: Immigrant Latinas (who are foreign-born but now reside in the USA) are at greater risk for developing postpartum depression than the general perinatal population, but many face barriers to treatment. To address these barriers, we adapted the Mothers and Babies Course-an evidence-based intervention for postpartum depression prevention-to a virtual group format. Additional adaptations are inclusion of tailored supplemental child health content and nutrition benefit assistance. We are partnering with Early Learning Centers (ELC) across the state of Maryland to deliver and test the adapted intervention. METHODS: The design is a Hybrid Type I Effectiveness-Implementation Trial. A total of 300 participants will be individually randomized to immediate (N = 150) versus delayed (N = 150) receipt of the intervention, Mothers and Babies Virtual Group (MB-VG). The intervention will be delivered by trained Early Learning Center staff. The primary outcomes are depressive symptoms (measured via the Center for Epidemiologic Studies-Depression Scale), parenting self-efficacy (measured via the Parental Cognition and Conduct Towards the Infant Scale (PACOTIS) Parenting Self-Efficacy subscale), and parenting responsiveness (measured via the Maternal Infant Responsiveness Instrument) at 1-week, 3-month, and 6-month post-intervention. Depressive episodes (Structured Clinical Interview for DSM-V- Disorders Research Version) at 3-month and 6-month post-intervention will also be assessed. Secondary outcomes include social support, mood management, anxiety symptoms, perceived stress, food insecurity, and mental health stigma at 1-week, 3-month, and 6-month post-intervention. Exploratory child outcomes are dysregulation and school readiness at 6-month post-intervention. Intervention fidelity, feasibility, acceptability, and appropriateness will also be assessed guided by the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. DISCUSSION: This study will be one of the first to test the efficacy of a group-based virtual perinatal depression intervention with Latina immigrants, for whom stark disparities exist in access to health services. The hybrid effectiveness-implementation design will allow rigorous examination of barriers and facilitators to delivery of the intervention package (including supplemental components) which will provide important information on factors influencing intervention effectiveness and the scalability of intervention components in Early Learning Centers and other child-serving settings. REGISTRATION: ClinicalTrials.gov NCT05873569.

The Influence of Dr. Rima Rudd's Organizational Health Literacy Scholarship in Maryland.

BACKGROUND: This article analyzes and reflects on Dr. Rima Rudd's organizational health literacy ideas and tools and their influence on the field generally and on four projects over 12 years in Maryland specifically. OBJECTIVE: We present four organizational health literacy projects - two from oral health and two from COVID-19 vaccination - that used or were influenced by Dr. Rudd's the Health Literacy Environment of Hospitals and Health Centers. METHODS: In the oral health projects, we describe the organizational assessments we conducted, the assessment results, and the actions organizations took in response. In a Frederick, Maryland, COVID-19 project, we worked with multiple organizations in a single city to train them in the organizational assessment process, and we report the activities and results of this training. In the Baltimore, Maryland COVID-19 project, we provided general information about organizational health literacy and trained key health professionals in local organizations. KEY RESULTS: Our results confirm that Dr. Rudd's tools work mainly as intended because they help organizations or third-party evaluators identify health literacy barriers and create health literacy insights. Also, we observed that organizational health literacy tools can support organizations' interest in equity goals and increase their willingness to spend time on health literacy projects. CONCLUSIONS: Translating knowledge and skills to actions can require more time than organizations can commit or be more difficult than they can handle. In our projects, the four most positive examples were driven by a collaboration between our team and a change champion who had the power to institute new ideas and actions. While it can take time and money to gain traction, our Maryland work shows that organizational assessments are accessible, practical and tangible. We conclude that Dr. Rudd's influence extends beyond specific tools and is reflected in the field's acceptance of organizational and professional responsibility for health literacy as an equity and justice issue. [HLRP: Health Literacy Research and Practice. 2024;8(3):e151-e158.].

PLAIN LANGUAGE SUMMARY: This article discusses Dr. Rudd's original and foundational contributions to organizational health literacy and the influence her tools and methods have had on 4 projects over 12 years in Maryland. We describe implementations and results for organizational health literacy assessments and training activities and conclude with lessons learned about organizational health literacy approaches and Dr. Rudd's impact on the field.

Patient experience with hospital care following the Maryland global budget revenue model: A difference-in-difference analysis.

INTRODUCTION: As a result of the success of Maryland's full risk capitated payment model experiment (Global Budget Revenue) in constraining healthcare costs, there is momentum for expanding the reach of such models. However, as these models are implemented, studies analyzing their long-term effects suggest unintended spillover effects that may ultimately influence patient experiences. The aim of this study was to determine whether implementation of the GBR was associated with changes in patient experience. METHODS: Cross-sectional study using a difference-in-difference analysis to examine changes in patient experiences according to the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) domains before and after implementation of the GBR model. Acute care hospitals from 2010-2016 with completed HCAHPS surveys were included. Hospitals identified for inclusion were then matched, based on county location, to area level characteristics using the Area Health Resource File. RESULTS: A total of 844 hospitals were included. Compared to hospitals in non-GBR states, hospitals in GBR states experienced significant declines in the following HCAHPS domains: "would definitely recommend the hospital to others" [Average treatment effect (ATT) = -1.19, 95% CI = -1.97, -0.41)] and 9-10 rating of the hospital (ATT = -0.93, 95% CI = -1.71, -0.15). Results also showed significant increases in the HCAHPS domains: "if patient's rooms and bathroom were always kept clean" (ATT = 1.10, 95% CI = 0.20, 2.00). There were no significant differences in changes for the other domains, including no improvements in: nursing communication, doctor communication, help from hospital staff, pain control, communication on medicines, discharge information, and quietness of the patient environment. CONCLUSION: These findings suggest there should be efforts made to ascertain and mitigate potential adverse effects of care transformation initiatives on patient experience. Patients are stakeholders and their inputs should be sought and incorporated in care transformation efforts to ensure that these models align with improved patient experiences.

Sustainable Academic-Clinical Alliance: A Model to Improve Academic-Practice Partnerships.

Background: National nurse shortages, ongoing nurse faculty retirements, and a dearth of clinical sites make it challenging to prepare advanced practice registered nurses (APRNs) who are ready to transition into independent provider roles, especially in acute care settings. One of the most effective ways to address these experiential learning challenges is for academic institutions and healthcare systems to form collaborative academic-practice partnerships. However, many partnerships between schools of nursing and healthcare institutions have found numerous challenges, including time to devote to the partnership, funding of ideas, competing initiatives and needs, and sustainability. Objective: The University of Maryland School of Nursing (UMSON) set out to expand the traditional academic-clinical partnership approach with a new collaborative model. Methods: Rather than both parties coming to the table with their own goals, the partnership focused on intentional relationship building, transparency, measurable outcomes, and sustainability. This model, further called the Sustainable Academic-Clinical Alliance (SACA), assures that both sides of the partnership benefit. The SACA model was used to create an academic-practice partnership with the University of Maryland Upper Chesapeake Health System in order to increase APRN clinical practice sites and readiness of APRN students to provide care across the continuum in the state of Maryland. Results: Since July 2016, the SACA model has enabled over 40 clinical providers in over 20 different clinical areas to offer 329 different clinical and nonclinical experiences to APRN students from UMSON. At the end of the 5-year alliance, 150 unique UMSON APRN students completed 257 different clinical rotations. Conclusion: The SACA model effectively promotes the development and achievement of sustainable academic-practice partnerships by focusing on (a) intentional relationship building, (b) transparency in goal setting and alliance maintenance, (c) development of outcome measures, and (d) sustainability. Implications for Nursing: The components of the SACA model made sustainability more achievable, which has eluded previous academic-clinical partnerships. This model can serve as a blueprint for other academic and healthcare institutions to establish sustainable academic-practice partnerships.

The relationship between neighborhood economic deprivation and community-acquired pneumonia related admissions in Maryland.

Introduction: Community-acquired pneumonia (CAP) is a major health concern in the United States (US), with its incidence, severity, and outcomes influenced by social determinants of health, including socioeconomic status. The impact of neighborhood socioeconomic status, as measured by the Distressed Communities Index (DCI), on CAP-related admissions remains understudied in the literature. Objective: To determine the independent association between DCI and CAP-related admissions in Maryland. Methods: We conducted a retrospective study using the Maryland State Inpatient Database (SID) to collate data on CAP-related admissions from January 2018 to December 2020. The study included adults aged 18-85 years. We explored the independent association between community-level economic deprivation based on DCI quintiles and CAP-related admissions, adjusting for significant covariates. Results: In the study period, 61,467 cases of CAP-related admissions were identified. The patients were predominantly White (49.7%) and female (52.4%), with 48.6% being over 65 years old. A substantive association was found between the DCI and CAP-related admissions. Compared to prosperous neighborhoods, patients living in economically deprived communities had 43% increased odds of CAP-related admissions. Conclusion: Residents of the poorest neighborhoods in Maryland have the highest risk of CAP-related admissions, emphasizing the need to develop effective public health strategies beneficial to the at-risk patient population.

Race and Ethnicity and Diagnostic Testing for Common Conditions in the Acute Care Setting.

Importance: Overuse of diagnostic testing is pervasive, but the extent to which it varies by race and ethnicity in the acute care setting is poorly understood. Objective: To use a previously validated diagnostic intensity index to evaluate differences in diagnostic testing rates by race and ethnicity in the acute care setting, which may serve as a surrogate for diagnostic test overuse. Design, Setting, and Participants: This was a cross-sectional study of emergency department (ED) discharges, hospital observation stays, and hospital admissions using administrative claims among EDs and acute care hospitals in Kentucky, Maryland, North Carolina, and New Jersey, from 2016 through 2018. The diagnostic intensity index pairs nonspecific principal discharge diagnoses (nausea and vomiting, abdominal pain, chest pain, and syncope) with related diagnostic tests to estimate rates of nondiagnostic testing. Adults with an acute care encounter with a principal discharge diagnosis of interest were included. Data were analyzed from January to February 2024. Exposure: Race and ethnicity (Asian, Black, Hispanic, White, other [including American Indian, multiracial, and multiethnic], and missing). Main Outcomes and Measures: Receipt of a diagnostic test. Generalized linear models with a hospital-specific indicator variable were estimated to calculate the adjusted odds ratio of receiving a test related to the principal discharge diagnosis by race and ethnicity, controlling for primary payer and zip code income quartile. Results: Of 3 683 055 encounters (1 055 575 encounters [28.7%] for Black, 300 333 encounters [8.2%] for Hispanic, and 2 140 335 encounters [58.1%] for White patients; mean [SD] age of patients with encounters, 47.3 [18.8] years; 2 233 024 encounters among females [60.6%]), most (2 969 974 encounters [80.6%]) were ED discharges. Black compared with White patients discharged from the ED with a diagnosis of interest had an adjusted odds ratio of 0.74 (95% CI, 0.72-0.75) of having related diagnostic testing. No other racial or ethnic disparities of a similar magnitude were observed in any acute care settings. Conclusions and Relevance: In this study, White patients discharged from the ED with a nonspecific diagnosis of interest were significantly more likely than Black patients to receive related diagnostic testing. The extent to which this represents diagnostic test overuse in White patients vs undertesting and missed diagnoses in Black patients deserves further study.

Assessing the potential long-term effects of sea-level rise on salt marsh's coastal protective capacity under different climate pathway scenarios.

Salt marshes act as natural barriers that reduce wave energy during storm events and help protect coastal communities located in low-lying areas. This ecosystem can be an important asset for climate adaptation due to its particular capability of vertically accrete to adjust to long-term changes in water levels. Therefore, understanding marsh protection benefits thresholds in the face of sea-level rise (SLR) is important for planning future climate adaptation. In this context, the main goal of this manuscript is to examine how the storm protection benefits provided by salt marshes might evolve under SLR projections with different probability levels and emission pathways. In this study, a modeling framework that employs marsh migration predictions from the Sea Level Affecting Marshes Model (SLAMM) as parameterization into a hydrodynamic and wave model (ADCIRC + SWAN) was utilized to explicitly represent wave attenuation by vegetation under storm surge conditions. SLAMM predictions indicate that the SLR scenario, a combination of probability level and emission pathways, plays a substantial role in determining future marsh migration or marsh area loss. For example, results based on the 50% probability, stabilized emissions scenario show an increase of 45% in the marsh area on Maryland's Lower Eastern Shore by 2100, whereas Dorchester County alone could experience a 75% reduction in total salt marsh areas by 2100 under the 1% probability, growing emissions scenario. ADCIRC + SWAN results using SLAMM land cover and elevation outputs indicate that distinct temporal thresholds emerge where marsh extent sharply decreases and wave heights increase, especially after 2050, and exacerbates further after 2080. These findings can be utilized for guiding environmental policies and to aid informed decisions and actions in response to SLR-driven environmental changes.

Neighborhood Disadvantage and Prostate Tumor RNA Expression of Stress-Related Genes.

Importance: African American men experience greater prostate cancer incidence and mortality than White men. Growing literature supports associations of neighborhood disadvantage, which disproportionately affects African American men, with aggressive prostate cancer; chronic stress and downstream biological impacts (eg, increased inflammation) may contribute to these associations. Objective: To examine whether several neighborhood disadvantage metrics are associated with prostate tumor RNA expression of stress-related genes. Design, Setting, and Participants: This cross-sectional study leveraged prostate tumor transcriptomic data for African American and White men with prostate cancer who received radical prostatectomy at the University of Maryland Medical Center between August 1992 and January 2021. Data were analyzed from May 2023 to April 2024. Exposures: Using addresses at diagnosis, 2 neighborhood deprivation metrics (Area Deprivation Index [ADI] and validated bayesian Neighborhood Deprivation Index) as well as the Racial Isolation Index (RI) and historical redlining were applied to participants' addresses. Self-reported race was determined using electronic medical records. Main Outcomes and Measures: A total of 105 stress-related genes were evaluated with each neighborhood metric using linear regression, adjusting for race, age, and year of surgery. Genes in the Conserved Transcriptional Response to Adversity (CTRA) and stress-related signaling genes were included. Results: A total of 218 men (168 [77%] African American, 50 [23%] White) with a median (IQR) age of 58 (53-63) years were included. African American participants experienced greater neighborhood disadvantage than White participants (median [IQR] ADI, 115 [100-130] vs 92 [83-104]; median [IQR] RI, 0.68 [0.34-0.87] vs 0.11 [0.06-0.14]). ADI was positively associated with expression for 11 genes; HTR6 (serotonin pathway) remained significant after multiple-comparison adjustment (ß = 0.003; SE, 0.001; P < .001; Benjamini-Hochberg q value = .01). Several genes, including HTR6, were associated with multiple metrics. We observed higher expression of 5 proinflammatory genes in the CTRA with greater neighborhood disadvantage (eg, CXCL8 and ADI, ß = 0.008; SE, 0.003; P = .01; q value = .21). Conclusions and Relevance: In this cross-sectional study, the expression of several stress-related genes in prostate tumors was higher among men residing in disadvantaged neighborhoods. This study is one of the first to suggest associations of neighborhood disadvantage with prostate tumor RNA expression. Additional research is needed in larger studies to replicate findings and further investigate interrelationships of neighborhood factors, tumor biology, and aggressive prostate cancer to inform interventions to reduce disparities.

Quantification of referrals received at two emergency-capable hyperbaric medicine centers.

Emergency hyperbaric oxygen treatment capability is limited in the United States, and there is little documentation of calls received by centers available 24 hours a day, seven days a week, 365 days a year. Our study aimed to calculate the number of calls received for urgent hyperbaric oxygen (HBO2). We logged calls from two HBO2 chambers on the East Coast of the United States that serve a densely populated region in 2021. The total number of emergency calls was 187 at the University of Maryland (UMD) and 127 at the University of Pennsylvania (UPenn). There were calls on 180/365 (46%) days during the study period at UMD and 239/365 (63%) days at UPenn. The most common indication was carbon monoxide toxicity. The peak month of calls was March. Emergency HBO2 calls are common, and more centers must accept emergency cases. Data from geographically diverse centers would add generalizability to these results and capture more diving-related emergencies.

Patient perspectives on cancer care during COVID-19: A qualitative study.

PURPOSE: The COVID-19 pandemic posed unique challenges to cancer-related care as health systems balanced competing risks of timely delivery of care and minimizing exposure to infection in a high-risk, immunocompromised patient population. This study aimed to better understand how pandemic-related factors affected the patient experience of cancer care during this time. METHODS: We conducted fifteen semi-structured interviews with adults from rural counties in Maryland who were diagnosed with and/or actively treated for cancer at the TidalHealth healthcare network between January 2020 and October 2022. RESULTS: Interviews from fifteen participants were analyzed. Two major themes emerged including COVID Impact on Care, and COVID Impact on Mental Health. Subthemes under COVID Impact on Care include Staffing Shortages, Hospital Regulations, Visitation, Importance of Advocacy, and Telehealth Utilization, and subthemes under COVID Impact on Mental Health include Loneliness, Support Networks, and Perceptions of COVID and Personal Protection. Overall, participants described positive care experiences despite notable delays, disruptions to continuity of care, difficult transitions to telemedicine, visitation policies that limited patient support, increased mental health struggles related to social distancing measures, and greater desire for patient advocacy. CONCLUSION: Our findings reveal significant impacts of the COVID-19 pandemic on experiences of cancer treatment and survivorship in a more vulnerable, rural patient population with lower healthcare access and income level. Our findings suggest areas for targeted interventions to limit disruptions to quality care in future public health emergencies.

Lifetime abortion incidence when abortion care is covered by Medicaid: Maryland versus five comparison states.

OBJECTIVE: To estimate the association of Medicaid coverage of abortion care with cumulative lifetime abortion incidence among women insured by Medicaid. DATA SOURCES AND STUDY SETTING: We use 2016-2019 (Pre-Dobbs) data from the Survey of Women studies that represent women aged 18-44 living in six U.S. states. One state, Maryland, has a Medicaid program that has long covered the cost of abortion care. The other five states, Alabama, Delaware, Iowa, Ohio, and South Carolina, have Medicaid programs that do not cover the cost of abortion care. Our sample includes 8972 women residing in the study states. STUDY DESIGN: Our outcome, cumulative lifetime abortion incidence, is identified using an indirect survey method, the double list experiment. We use a multivariate regression of cumulative lifetime abortion on variables including whether women were Medicaid-insured and whether they were residing in Maryland versus in one of the other five states. DATA COLLECTION/EXTRACTION METHODS: This study used secondary survey data. PRINCIPAL FINDINGS: We estimate that Medicaid coverage of abortion care in Maryland is associated with a 37.0 percentage-point (95% CI: 12.3-61.4) higher cumulative lifetime abortion incidence among Medicaid-insured women relative to women not insured by Medicaid compared with those differences by insurance status in states whose Medicaid programs do not cover the cost of abortion care. CONCLUSIONS: We found that Medicaid coverage of abortion care is associated with a much higher lifetime incidence of abortion among individuals insured by Medicaid. We infer that Medicaid coverage of abortion care costs may have a very large impact on the accessibility of abortion care for low-income women.

Parents' Perceptions of Schools' COVID-19 Mitigation Strategies: A Phenomenological Study.

BACKGROUND: At the onset of the COVID-19 pandemic, schools closed across the United States. Given the impact of virtual learning and lost access to school resources, schools eventually reopened with COVID-19 mitigation protocols in place. This qualitative study sought to understand parental perceptions of school-based COVID-19 mitigation strategies. METHODS: Using a phenomenology approach, nine focus groups were completed with 40 parents of children in grades K-8 representing eight Maryland counties. Based on acceptance of masking policies (as indicated on a survey), parents were sorted into 2 groups-lower and higher masking acceptance. A thematic analysis was conducted for each group and themes were compared between the 2 groups. RESULTS: The main themes were related to parents' general sentiments regarding COVID-19, compliance, pandemic-related changes over time, changes in personal opinions, and in-person learning. Both groups described challenges related to inconsistent COVID-19 mitigation policies and practices, the challenges of rapid and frequent changes in guidelines during the pandemic, and the benefits of in-person learning. CONCLUSIONS: Parents of elementary and middle school children, regardless of general acceptance of masking policies, shared concerns about implementation and guidance regarding school-based mitigation strategies.

Increasing Access to Cardiac Rehabilitation Services Among Disadvantaged Populations.

The Prince George's County Health Department encountered several challenges to increasing access to cardiac rehabilitation (CR) services among disadvantaged populations. They include excessive patient out-of-pocket costs; requirements that CR orders must be signed by a physician; provider reluctance to refer patients to CR, with most primary care providers preferring to refer clients to cardiologists for the latter to determine whether the patient needs CR referral; limited availability of CR programs; and difficulty identifying patients eligible for CR services. Discussions with other local health departments and public health practitioners indicate that these challenges are not unique to Maryland but are indicative of policy and system barriers that prevent the optimal delivery of cardiovascular health services. This practice report documents the challenges and the Prince George's County Health Department's efforts to resolve them and provides recommendations for decision-makers seeking to make CR programs more accessible to disadvantaged populations.

Infant Feeding Support for Pregnant and Postpartum Parents With Intellectual and Developmental Disabilities: Perspectives of WIC Staff.

OBJECTIVE: To describe the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) staff experiences, perceptions, and training needs surrounding the provision of infant feeding support for parents with intellectual and developmental disabilities (IDD). METHODS: We conducted in-depth semistructured interviews between October and November 2021 with Maryland WIC staff (N = 10) who provide infant feeding counseling and support. We analyzed interviews using conventional content analysis. RESULTS: Three themes were identified: identifying and documenting IDD, facilitating effective communication and infant feeding education, and assessing WIC staff competence and readiness. CONCLUSIONS AND IMPLICATIONS: The interviews suggested the need to explore the risks and benefits of routine and compassionate processes for identifying and documenting disability, create accessible teaching materials that facilitate understanding and engagement, and educate and train staff to provide tailored support in WIC. Engaging parents with IDD to better understand their perspectives and experiences should guide future efforts to improve inclusivity and accessibility.

Behavioral Weight Loss Programs for Cancer Survivors Throughout Maryland: Protocol for a Pragmatic Trial and Participant Characteristics.

BACKGROUND: Clinical trials examining lifestyle interventions for weight loss in cancer survivors have been demonstrated to be safe, feasible, and effective. However, scalable weight loss programs are needed to support their widespread implementation. The ASPIRE trial was designed to evaluate real-world, lifestyle-based, weight loss programs for cancer survivors throughout Maryland. OBJECTIVE: The objectives of this protocol paper are to describe the design of a nonrandomized pragmatic trial, study recruitment, and baseline characteristics of participants. METHODS: Participants were aged ≥18 years, residing in Maryland, with a BMI ≥25 kg/m2, who reported a diagnosis of a malignant solid tumor, completed curative treatment, and had no ongoing or planned cancer treatment. Enrollment criteria were minimized to increase generalizability. The primary recruitment source was the Johns Hopkins Health System electronic health records (EHRs). Participants selected 1 of 3 remotely delivered weight loss programs: self-directed, app-supported, or coach-supported program. RESULTS: Participants were recruited across all 5 geographic regions of Maryland. Targeted invitations using EHRs accounted for 287 (84.4%) of the 340 participants enrolled. Of the 5644 patients invited through EHR, 5.1% (287/5644) enrolled. Participants had a mean age of 60.7 (SD 10.8) years, 74.7% (254/340) were female, 55.9% (190/340) identified as non-Hispanic Black, 58.5% (199/340) had a bachelor's degree, and the average BMI was 34.1 kg/m2 (SD 5.9 kg/m2). The most common types of cancers were breast (168/340, 49.4%), prostate (72/340, 21.2%), and thyroid (39/340, 8.5%). The self-directed weight loss program (n=91) included 25 participants who agreed to provide weights through a study scale; the app-supported program (n=142) included 108 individuals who agreed to provide their weight measurements; and the coach-supported weight loss program included 107 participants. We anticipate final analysis will take place in the fall of 2024. CONCLUSIONS: Using EHR-based recruitment efforts, this study took a pragmatic approach to reach and enroll cancer survivors into remotely delivered weight loss programs. TRIAL REGISTRATION: ClinicalTrials.gov NCT04534309; https://clinicaltrials.gov/study/NCT04534309. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54126.

Blue and red tides in the Chesapeake Bay watershed: Examining political and environmental framings of collective action during the 2016 and 2020 elections.

Watersheds require collective care and management at local and regional levels to maintain their ecological health. The Chesapeake Bay's last several decades of stagnantly poor ecological health presents a distinctive case study for explicating the challenges of motivating collective action across a diverse regional natural resource. Our study uses county- and individual-level descriptive analysis to examine interrelated framings of environmental quality, environmental sentiment, and political action at two critical moments in time-the 2016 and 2020 presidential elections. We find that demographic, environmental, and political characteristics vary with distance to the Chesapeake Bay and that linked environmental and political characteristics appeared to become more polarized between 2016 and 2020. We found no evidence that local environmental quality influenced new political actions such as voting; however, people already likely to vote were influenced by their pro-environmental values such as priorities around climate change.

Air or Ground Transport to the Critical Care Resuscitation Unit: Does It Really Matter?

OBJECTIVE: Critically ill patients requiring urgent interventions or subspecialty care often require transport over significant distances to tertiary care centers. The optimal method of transportation (air vs. ground) is unknown. We investigated whether air transport was associated with lower mortality for patients being transferred to a specialized critical care resuscitation unit (CCRU). METHODS: This was a retrospective study of all adult patients transferred to the CCRU at the University of Maryland Medical Center in 2018. Our primary outcome was hospital mortality. The secondary outcomes included the length of stay and the time to the operating room (OR) for patients undergoing urgent procedures. We performed optimal 1:2 propensity score matching for each patient's need for air transport. RESULTS: We matched 198 patients transported by air to 382 patients transported by ground. There was no significant difference between demographics, the initial Sequential Organ Failure Assessment score, or hospital outcomes between groups. One hundred sixty-four (83%) of the patients transported via air survived to hospital discharge compared with 307 (80%) of those transported by ground (P = .46). Patients transported via air arrived at the CCRU more quickly (127 [100-178] vs. 223 [144-332] minutes, P < .001) and were more likely (60 patients, 30%) to undergo urgent surgical operation within 12 hours of CCRU arrival (30% vs. 17%, P < .001). For patients taken to the OR within 12 hours of arriving at the CCRU, patients transported by air were more likely to go to the OR after 200 minutes since the transfer request (P = .001). CONCLUSION: The transportation mode used to facilitate interfacility transfer was not significantly associated with hospital mortality or the length of stay for critically ill patients.

A Framework for Developing and Assessing Custom Case Definitions: A Demonstration Applied to Opioid Overdose in Maryland.

CONTEXT: Public health epidemiologists monitor data sources for disease outbreaks and other events of public health concern, but manual review of records to identify cases of interest is slow and labor-intensive and may not reflect evolving data practices. To automatically identify cases from electronic data sources, epidemiologists must use "case definitions" or formal logic that captures the criteria used to identify a record as a case of interest. OBJECTIVE: To establish a methodology for development and evaluation of case definitions. A logical evaluation framework to approach case definitions will allow jurisdictions the flexibility to implement a case definition tailored to their goals and available data. DESIGN: Case definition development is explained as a process with multiple logical components combining free-text and categorical data fields. The process is illustrated with the development of a case definition to identify emergency medical services (EMS) call records related to opioid overdoses in Maryland. SETTING: The Maryland Department of Health (MDH) installation of the Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE), which began capturing EMS call records in ESSENCE in 2019 to improve statewide coverage of all-hazards health issues. RESULTS: We describe a case definition evaluation framework and demonstrate its application through development of an opioid overdose case definition to be used in MDH ESSENCE. We show the iterative process of development, from defining how a case can be identified conceptually to examining each component of the conceptual definition and then exploring how to capture that component using available data. CONCLUSION: We present a framework for developing and qualitatively assessing case definitions and demonstrate an application of the framework to identifying opioid overdose incidents from MDH EMS data. We discuss guidelines to support jurisdictions in applying this framework to their own data and public health challenges to improve local surveillance capability.

Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models.

OBJECTIVE: Despite increased availability of methodologies to identify algorithmic bias, the operationalization of bias evaluation for healthcare predictive models is still limited. Therefore, this study proposes a process for bias evaluation through an empirical assessment of common hospital readmission models. The process includes selecting bias measures, interpretation, determining disparity impact and potential mitigations. METHODS: This retrospective analysis evaluated racial bias of four common models predicting 30-day unplanned readmission (i.e., LACE Index, HOSPITAL Score, and the CMS readmission measure applied as is and retrained). The models were assessed using 2.4 million adult inpatient discharges in Maryland from 2016 to 2019. Fairness metrics that are model-agnostic, easy to compute, and interpretable were implemented and apprised to select the most appropriate bias measures. The impact of changing model's risk thresholds on these measures was further assessed to guide the selection of optimal thresholds to control and mitigate bias. RESULTS: Four bias measures were selected for the predictive task: zero-one-loss difference, false negative rate (FNR) parity, false positive rate (FPR) parity, and generalized entropy index. Based on these measures, the HOSPITAL score and the retrained CMS measure demonstrated the lowest racial bias. White patients showed a higher FNR while Black patients resulted in a higher FPR and zero-one-loss. As the models' risk threshold changed, trade-offs between models' fairness and overall performance were observed, and the assessment showed all models' default thresholds were reasonable for balancing accuracy and bias. CONCLUSIONS: This study proposes an Applied Framework to Assess Fairness of Predictive Models (AFAFPM) and demonstrates the process using 30-day hospital readmission model as the example. It suggests the feasibility of applying algorithmic bias assessment to determine optimized risk thresholds so that predictive models can be used more equitably and accurately. It is evident that a combination of qualitative and quantitative methods and a multidisciplinary team are necessary to identify, understand and respond to algorithm bias in real-world healthcare settings. Users should also apply multiple bias measures to ensure a more comprehensive, tailored, and balanced view. The results of bias measures, however, must be interpreted with caution and consider the larger operational, clinical, and policy context.

Clinician-to-clinician connectedness and access to gastric cancer surgery at National Cancer Institute-designated cancer centers.

BACKGROUND: For patients with gastric cancer, the pathway from primary care (PC) clinician to gastroenterologist to cancer specialist (medical oncologist or surgeons) is referral dependent. The impact of clinician connectedness on disparities in quality gastric cancer care, such as at National Cancer Institute-designated cancer centers (NCI-CC), remains underexplored. This study evaluated how clinician connectedness influences access to gastrectomy at NCI-CC. METHODS: Maryland's All-Payer Claims Database was used to evaluate 667 patients who underwent gastrectomy for cancer from 2013 to 2018. Two separate referral linkages, defined as ≥9 shared patients, were examined: (1) PC clinicians to gastroenterologists at NCI-CC and (2) gastroenterologists to cancer specialists at NCI-CC. Multiple logistic regression models determined associations between referral linkages and odds of undergoing gastrectomy at NCI-CC. RESULTS: Only 15% of gastrectomies were performed at NCI-CC. Patients of gastroenterologists with referral links to cancer specialists at NCI-CC were more likely to be <65 years, male, White, and privately insured. Every additional referral link between PC clinician and gastroenterologist at NCI-CC and between gastroenterologist and cancer specialist at NCI-CC increased the odds of gastrectomy at NCI-CC by 71% and 26%, respectively. Black patients had half the odds as White patients in receiving gastrectomy at NCI-CC; however, adjusting for covariates including clinician-to-clinician connectedness attenuated this observation. CONCLUSION: Patients of clinicians with low connectedness and Black patients are less likely to receive gastrectomy at NCI-CC. Enhancing clinician connectedness is necessary to address disparities in cancer care. These results are relevant to policy makers, clinicians, and patient advocates striving for health equity.