Self-reported determinants of COVID-19 vaccine acceptance among persons with and without autoimmune disease.

OBJECTIVE: Patients with autoimmune disease (AD) are at increased risk for complications from COVID-19 infection, so, optimizing vaccine utilization in this population is of particular importance. We compared COVID-19 vaccination perspectives among persons with and without AD. METHODS: 471 patients in the MetroHealth System and Cleveland Veteran Affairs Medical Center completed a 38-item questionnaire between August 2021 and February 2022. This survey containing questions regarding COVID-19 vaccine perceptions and demographics was administered both to unvaccinated individuals and individuals who delayed vaccination for at least 2 months. Multivariable ordinary least squares regression models were created to assess factors associated with vaccination likelihood. RESULTS: The number of reasons given for (p < 0.001) and against receiving COVID-19 vaccination (p < 0.001) were highly associated with increased and decreased vaccination likelihood respectively. Factors most closely associated with obtaining vaccine were: protecting family (p = 0.045) personal safety (p < 0.001) and preventing serious infection (p < 0.001). Reasons associated with decreased vaccination likelihood were: lack of concern of COVID-19 infection (p < 0.001), vaccine safety (p < 0.001) and beliefs that the vaccine was made too quickly (p = 0.024). AD patients were more likely to cite having a chronic condition (29.1 % vs 17.1 %, p = 0.003) and physician recommendation(s) (18.4 % vs 9.1 %, p = 0.005) as reasons for vaccination and were more concerned about potential medication interaction than non-AD respondents (22.4 % vs 3.3 %, p < 0.001). CONCLUSION: The number of benefits of vaccination identified strongly related to vaccination likelihood. Affirmative provider recommendations correlated with increased vaccination likelihood in AD patients. Clinical conversations centered on the benefits of COVID-19 vaccination may help increase vaccine acceptance.

Clinical and sociodemographic characteristics as predictors for quality of life in transmasculine and transfeminine individuals receiving gender-affirming hormone therapy.

Healthcare systems and providers have increasingly acknowledged the role and impact of social determinants in overall health. However, gender-diverse individuals face persistent health disparities due to their identities. There is limited research on the impact of clinical and sociodemographic characteristics on mood and quality of life (QoL) for transgender (TG) individuals. Our study aims to understand and better elucidate social and clinical characteristics of transmasculine (TM) and transfeminine (TF) individuals and their impact on quality of life and depressive symptoms. In this cross-sectional study, 298 TF and TM individuals on gender-affirming hormone therapy (GAHT) were surveyed about their demographic characteristics (age, gender identity, body mass index (BMI), and education), social needs, mood, and quality of life. Multivariable regression modelling was performed to assess the effect of each variable listed above on three domains of QoL (psychological, environmental, and physical) as well as depressive symptoms. We find that QoL scores are similar between TM and TF individuals, with scores in the psychological domain particularly low in both cohorts. TM individuals report higher rates of stress and restroom avoidance than TF individuals. In particular, psychological well-being (measured by the psychological domain of QoL and depressive symptoms) is significantly associated with increased BMI, financial instability, and stress in TM individuals while for TF individuals, psychological well-being is associated with stress and social integration. These data suggest that social circumstances are key drivers of QoL and psychological well-being among gender-diverse individuals receiving GAHT with specific differences between TF and TM individuals. This information may be utilized by healthcare providers and policymakers to address and improve clinical care and social policies to improve health equity for gender-diverse individuals.

Examination of protective factors that promote prosocial skill development among children exposed to intimate partner violence.

This retrospective cohort study examined prosocial skills development in child welfare-involved children, how intimate partner violence (IPV) exposure explained heterogeneity in children's trajectories of prosocial skill development, and the degree to which protective factors across children's ecologies promoted prosocial skill development. Data were from 1,678 children from the National Survey of Child and Adolescent Well-being I, collected between 1999 and 2007. Cohort-sequential growth mixture models were estimated to identify patterns of prosocial skill development between the ages of 3 to 10 years. Four diverse pathways were identified, including two groups that started high (high subtle-decreasing; high decreasing-to-increasing) and two groups that started low (low stable; low increasing-to-decreasing). Children with prior history of child welfare involvement, preschool-age IPV exposure, school-age IPV exposure, or family income below the federal poverty level had higher odds of being in the high decreasing-to-increasing group compared with the high subtle-decreasing group. Children with a mother with greater than high school education or higher maternal responsiveness had higher odds of being in the low increasing-to-decreasing group compared with the low stable group. The importance of maternal responsiveness in fostering prosocial skill development underlines the need for further assessment and intervention. Recommendations for clinical assessment and parenting programs are provided.

A Medicaid-Funded Statewide Diabetes Quality Improvement Collaborative: Ohio 2020‒2022.

We used a collective impact model to form a statewide diabetes quality improvement collaborative to improve diabetes outcomes and advance diabetes health equity. Between 2020 and 2022, in collaboration with the Ohio Department of Medicaid, Medicaid Managed Care Plans, and Ohio's seven medical schools, we recruited 20 primary care practices across the state. The percentage of patients with hemoglobin A1c greater than 9% improved from 25% to 20% over two years. Applying our model more broadly could accelerate improvement in diabetes outcomes. (Am J Public Health. 2023;113(12):1254-1257. https://doi.org/10.2105/AJPH.2023.307410).

Alzheimer`s disease mortality in the United States: Cross-sectional analysis of county-level socio-environmental factors.

BACKGROUND: Geographical disparities in mortality among Alzheimer`s disease (AD) patients have been reported and complex sociodemographic and environmental determinants of health (SEDH) may be contributing to this variation. Therefore, we aimed to explore high-risk SEDH factors possibly associated with all-cause mortality in AD across US counties using machine learning (ML) methods. METHODS: We performed a cross-sectional analysis of individuals ≥65 years with any underlying cause of death but with AD in the multiple causes of death certificate (ICD-10,G30) between 2016 and 2020. Outcomes were defined as age-adjusted all-cause mortality rates (per 100,000 people). We analyzed 50 county-level SEDH and Classification and Regression Trees (CART) was used to identify specific county-level clusters. Random Forest, another ML technique, evaluated variable importance. CART`s performance was validated using a "hold-out" set of counties. RESULTS: Overall, 714,568 individuals with AD died due to any cause across 2,409 counties during 2016-2020. CART identified 9 county clusters associated with an 80.1% relative increase of mortality across the spectrum. Furthermore, 7 SEDH variables were identified by CART to drive the categorization of clusters, including High School Completion (%), annual Particulate Matter 2.5 Level in Air, live births with Low Birthweight (%), Population under 18 years (%), annual Median Household Income in US dollars ($), population with Food Insecurity (%), and houses with Severe Housing Cost Burden (%). CONCLUSION: ML can aid in the assimilation of intricate SEDH exposures associated with mortality among older population with AD, providing opportunities for optimized interventions and resource allocation to reduce mortality among this population.

In their own words: recovery after emergency general surgery in the older patient.

Objectives: Emergency general surgery (EGS) conditions, such as perforated intestines or complicated hernias, can lead to significant postoperative morbidity and mortality. We sought to understand the recovery experience of older patients at least 1 year after EGS to identify key factors for a successful long-term recovery. Methods: We conducted semi-structured interviews to explore recovery experiences of patients and their caregivers after admission for an EGS procedure. We screened patients who were aged 65 years or older at the time of an EGS operation, admitted at least 7 days, and still alive and able to consent at least 1 year postoperatively. We interviewed the patients, their primary caregiver, or both. Interview guides were developed to explore medical decision making, patient goals and expectations surrounding recovery after EGS, and to identify barriers and facilitators of recovery. Interviews were recorded and transcribed, and we used an inductive thematic approach to analysis. Results: We performed 15 interviews (11 patients and 4 caregivers). Patients wanted to return to their prior quality of life, or 'get back to normal.' Family was key in providing both instrumental support (eg, for daily tasks such as cooking, driving, wound care) and emotional support. Provision of temporary support was key to the recovery of many patients. Although most patients returned to their prior lifestyle, some also experienced depression, persistent abdominal effects, pain, or decreased stamina. When asked about medical decision making, patients expressed viewing the decision for having an operation not as a choice but, rather, the only rational option to treat a severe symptom or life-threating illness. Conclusions: There is an opportunity in healthcare to provide better education for older patients and their caregivers around instrumental and emotional support to bolster successful recovery after emergency surgery. Level of evidence: Qualitative study, level II.

A Medicaid Statewide Hypertension Quality Improvement Project: Initial Results.

Background Hypertension control is critical to reducing cardiovascular disease, challenging to achieve, and exacerbated by socioeconomic inequities. Few states have established statewide quality improvement (QI) infrastructures to improve blood pressure (BP) control across economically disadvantaged populations. In this study, we aimed to improve BP control by 15% for all Medicaid recipients and by 20% for non-Hispanic Black participants. Methodology This QI study used repeated cross-sections of electronic health record data and, for Medicaid enrollees, linked Medicaid claims data for 17,672 adults with hypertension seen at one of eight high-volume Medicaid primary care practices in Ohio from 2017 to 2019. Evidence-based strategies included (1) accurate BP measurement; (2) timely follow-up; (3) outreach; (4) a standardized treatment algorithm; and (5) effective communication. Payers focused on a 90-day supply (vs. 30-day) of BP medications, home BP monitor access, and outreach. Implementation efforts included an in-person kick-off followed by monthly QI coaching and monthly webinars. Weighted generalized estimating equations were used to estimate the baseline, one-year, and two-year implementation change in the proportion of visits with BP control (<140/90 mm Hg) stratified by race/ethnicity. Results For all practices, the percentage of participants with controlled BP increased from 52% in 2017 to 60% in 2019. Among non-Hispanic Whites, the odds of achieving BP control in year one and year two were 1.24 times (95% confidence interval: 1.14, 1.34) and 1.50 times (1.38, 1.63) higher relative to baseline, respectively. Among non-Hispanic Blacks, the odds for years one and two were 1.18 times (1.10, 1.27) and 1.34 times (1.24, 1.45) higher relative to baseline, respectively. Conclusions A hypertension QI project as part of establishing a statewide QI infrastructure improved BP control in practices with a high volume of disadvantaged patients. Future efforts should investigate ways to reduce inequities in BP control and further explore factors associated with greater BP improvements and sustainability.

Go-along interview assessment of community health priorities for neighborhood renewal.

Healthcare systems are increasingly investing in approaches to address social determinants of health and health disparities. Such initiatives dovetail with certain approaches to neighborhood development, such as the EcoDistrict standard for community development, that prioritize both ecologically and socially sustainable neighborhoods. However, healthcare system and community development initiatives can be untethered from the preferences and lived realities of residents in the very neighborhoods upon which they focus. Utilizing the go-along approach to collecting qualitative data in situ, we interviewed 19 adults to delineate residents' community health perspectives and priorities. Findings reveal health priorities distinct from clinical outcomes, with residents emphasizing social connectedness, competing intra- and interneighborhood perceptions that potentially thwart social connectedness, and a neighborhood emplacement of agency, dignity, and self-worth. Priorities of healthcare systems and community members alike must be accounted for to optimize efforts that promote health and social well-being by being valid and meaningful to the community of focus.

Increasing Primary Care Utilization of Medication-Assisted Treatment (MAT) for Opioid Use Disorder.

BACKGROUND: With increasing prevalence of opioid use disorders (OUDs) there is an urgent need for OUD trained front line primary care providers (PCPs) who can help improve patient adherence to addiction treatment. Unfortunately, most physicians have had limited training for treating patients with addiction, leaving clinicians under prepared. To address this need, we created a Medication-Assisted Treatment (MAT) training program specifically designed for PCPs. INTERVENTION: A 4-hour PCP focused buprenorphine office-based implementation training was designed to supplement the 8-hour SAMHSA DATA 2000 waiver training. The intent of the supplemental training is to increase PCP likelihood of implementing MAT through practical evidenced-based implementation, addressing barriers reported by waivered PCPs. METHODS: We developed and validated a new pre- and postsurvey instrument that assesses changes in participants knowledge, skills, and attitudes. Data were entered into REDCap, and composite scales were created and analyzed to determine pre-post differences. RESULTS: A total of 183 participants completed pre-post evaluations. Pre-post comparisons indicated substantial improvement in learner levels of confidence in implementing MAT care processes and in their interactions with MAT patients (df = 4, F = 203.518, P < .001). Participants described themselves as more comfortable identifying patients who would benefit from MAT (t = 15.04, P < .001), more competent in implementing MAT (t = 21.27, P < .001) and more willing (t = 15.56, P < .001) to implement MAT after training. CONCLUSION: Evidence suggests that a new MAT training program that supplements the SAMHSA waiver training increases confidence and willingness to implement MAT among PCPs. Efforts to replicate this success to allow for further generalization and policy recommendations are warranted.

Racial, ethnic and neighborhood socioeconomic differences in incidence of dementia: A regional retrospective cohort study.

BACKGROUND: Evidence on the effects of neighborhood socioeconomic disadvantage on dementia risk in racially and ethically diverse populations is limited. Our objective was to evaluate the relative extent to which neighborhood disadvantage accounts for racial/ethnic variation in dementia incidence rates. Secondarily, we evaluated the spatial relationship between neighborhood disadvantage and dementia risk. METHODS: In this retrospective study using electronic health records (EHR) at two regional health systems in Northeast Ohio, participants included 253,421 patients aged >60 years who had an outpatient primary care visit between January 1, 2005 and December 31, 2015. The date of the first qualifying visit served as the study baseline. Cumulative incidence of composite dementia outcome, defined as EHR-documented dementia diagnosis or dementia-related death, stratified by neighborhood socioeconomic deprivation (as measured by Area Deprivation Index) was determined by competing-risk regression analysis, with non-dementia-related death as the competing risk. Fine-Gray sub-distribution hazard ratios were determined for neighborhood socioeconomic deprivation, race/ethnicity, and clinical risk factors. The degree to which neighborhood socioeconomic position accounted for racial/ethnic disparities in the incidence of composite dementia outcome was evaluated via mediation analysis with Poisson rate models. RESULTS: Increasing neighborhood disadvantage was associated with increased risk of EHR-documented dementia diagnosis or dementia-related death (most vs. least disadvantaged ADI quintile HR = 1.76, 95% confidence interval = 1.69-1.84) after adjusting for age and sex. The effect of neighborhood disadvantage on this composite dementia outcome remained after accounting for known medical risk factors of dementia. Mediation analysis indicated that neighborhood disadvantage accounted for 34% and 29% of the elevated risk for composite dementia outcome in Hispanic and Black patients compared to White patients, respectively. CONCLUSION: Neighborhood disadvantage is related to the risk of EHR-documented dementia diagnosis or dementia-related death and accounts for a portion of racial/ethnic differences in dementia burden, even after adjustment for clinically important confounders.

Neighborhood and racial influences on triple negative breast cancer: evidence from Northeast Ohio.

PURPOSE: Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer (BC) with higher recurrence rates and poorer prognoses and most prevalent among non-Hispanic Black women. Studies of multiple health conditions and care processes suggest that neighborhood socioeconomic position is a key driver of health disparities. We examined roles of patients' neighborhood-level characteristics and race on prevalence, stage at diagnosis, and mortality among patients diagnosed with BC at a large safety-net healthcare system in Northeast Ohio. METHODS: We used tumor registry to identify BC cases from 2007 to 2020 and electronic health records and American Community Survey for individual- and area-level factors. We performed multivariable regression analyses to estimate associations between neighborhood-level characteristics, measured by the Area Deprivation Index (ADI), race and comparative TNBC prevalence, stage at diagnosis, and total mortality. RESULTS: TNBC was more common among non-Hispanic Black (53.7%) vs. non-Hispanic white patients (46.4%). Race and ADI were individually significant predictors of TNBC prevalence, stage at diagnosis, and total mortality. Race remained significantly associated with TNBC subtype, adjusting for covariates. Accounting for TNBC status, a more disadvantaged neighborhood was significantly associated with a worse stage at diagnosis and higher death rates. CONCLUSION: Our findings suggest that both neighborhood socioeconomic position and race are strongly associated with TNBC vs. other BC subtypes. The burden of TNBC appears to be highest among Black women in the most socioeconomically disadvantaged neighborhoods. Our study suggests a complex interplay of social conditions and biological disease characteristics contributing to racial disparities in BC outcomes.

Food Insecurity Trajectories in the US During the First Year of the COVID-19 Pandemic.

INTRODUCTION: The objective of this study was to characterize population-level trajectories in the probability of food insecurity in the US during the first year of the COVID-19 pandemic and to examine sociodemographic correlates associated with identified trajectories. METHODS: We analyzed data from the Understanding America Study survey, a nationally representative panel (N = 7,944) that assessed food insecurity every 2 weeks from April 1, 2020, through March 16, 2021. We used latent class growth analysis to determine patterns (or classes) of pandemic-related food insecurity during a 1-year period. RESULTS: We found 10 classes of trajectories of food insecurity, including 1 class of consistent food security (64.7%), 1 class of consistent food insecurity (3.4%), 5 classes of decreasing food insecurity (15.8%), 2 classes of increasing food insecurity (4.6%), and 1 class of stable but elevated food insecurity (11.6%). Relative to the class that remained food secure, other classes were younger, had a greater proportion of women, and tended to identify with a racial or ethnic minority group. CONCLUSION: We found heterogeneous longitudinal patterns in the development, resolution, or persistence of food insecurity during the first year of the COVID-19 pandemic. Experiences of food insecurity were highly variable across the US population, with one-third experiencing some form of food insecurity risk. Findings have implications for identifying population groups who are at increased risk of food insecurity and related health disparities beyond the first year of the pandemic.

Financial Incentives Are Associated with Lower Likelihood of COVID-19 Vaccination in Northeast Ohio.

BACKGROUND: Declining COVID-19 vaccination rates have led to implementation of monetary incentives to increase vaccine uptake. The Ohio Vax-a-Million lottery and subsequent $100 incentives were created to encourage individuals to become vaccinated. The purpose of this survey was to determine the efficacy of these monetary incentives on vaccination rates. METHODS: A 38-item questionnaire was given to outpatients at MetroHealth and Cleveland Veteran Affairs Hospitals between August 2021 and February 2022 who either waited 2 or more months to receive the COVID-19 vaccination or have not yet been vaccinated. The survey contained questions regarding demographics and perceptions of COVID-19 monetary incentives on vaccination likelihood. RESULTS: Of the 471 participants surveyed, 0.95% reported that the Ohio Vax-a-Million lottery increased their vaccination likelihood, while 29.7% reported that it decreased their likelihood. 6.8% of respondents reported the $100 incentive increased their vaccination likelihood while 17.4% reported it decreased their vaccination chances. 20.6% of participants stated news of the Delta (δ) variant increased their vaccination likelihood. CONCLUSION: Our study results suggest that monetary incentives were not associated with increased COVID-19 vaccination rates. Instead, more participants believed that these incentives decreased their vaccination likelihood. Expansion of the survey across a wider sociodemographic range can provide further evidence of the efficacy of these programs before reimplementation.

Community Members as Reviewers of Medical Journal Manuscripts: a Randomized Controlled Trial.

BACKGROUND: Community members may provide useful perspectives on manuscripts submitted to medical journals. OBJECTIVE: To determine the impact of community members reviewing medical journal manuscripts. DESIGN: Randomized controlled trial involving 578 original research manuscripts submitted to two medical journals from June 2018 to November 2021. PARTICIPANTS: Twenty-eight community members who were trained, supervised, and compensated. INTERVENTIONS: A total of 289 randomly selected control manuscripts were reviewed by scientific reviewers only. And 289 randomly selected intervention manuscripts were reviewed by scientific reviewers and one community member. Journal editorial teams used all reviews to make decisions about acceptance, revision, or rejection of manuscripts. MAIN MEASURES: Usefulness of reviews to editors, content of community reviews, and changes made to published articles in response to community reviewer comments. KEY RESULTS: Editor ratings of community and scientific reviews averaged 3.1 and 3.3, respectively (difference 0.2, 95% confidence interval [CI] 0.1 to 0.3), on a 5-point scale where a higher score indicates a more useful review. Qualitative analysis of the content of community reviews identified two taxonomies of themes: study attributes and viewpoints. Study attributes are the sections, topics, and components of manuscripts commented on by reviewers. Viewpoints are reviewer perceptions and perspectives on the research described in manuscripts and consisted of four major themes: (1) diversity of study participants, (2) relevance to patients and communities, (3) cultural considerations and social context, and (4) implementation of research by patients and communities. A total of 186 community reviewer comments were integrated into 64 published intervention group articles. Viewpoint themes were present more often in 66 published intervention articles compared to 54 published control articles (2.8 vs. 1.7 themes/article, difference 1.1, 95% CI 0.4 to 1.8). CONCLUSIONS: With training, supervision, and compensation, community members are able to review manuscripts submitted to medical journals. Their comments are useful to editors, address topics relevant to patients and communities, and are reflected in published articles. TRIAL REGISTRATION: ClinicalTrials.gov NCT03432143.

Experiences with Continuous Positive Airway Pressure Among African American Patients and their Bed Partners.

RATIONALE: Despite having a higher prevalence and severity of obstructive sleep apnea (OSA), African Americans have lower adherence to continuous positive airway pressure (CPAP) compared to other groups. Information regarding challenges faced by African Americans prescribed CPAP are lacking. OBJECTIVES: To determine the barriers and facilitators to optimal management of OSA with CPAP among African Americans and to understand the role bed partners may play. METHODS: We conducted semi-structured in-depth interviews via video conferencing with African American patients of an urban safety-net health care system with OSA prescribed CPAP and their bed partners. Recruitment continued until theoretical saturation was achieved. Verbatim transcripts were analyzed using the principles of thematic analysis. RESULTS: 15 patients (12 women) diagnosed with OSA and prescribed CPAP a mean 2.6 years prior along with 15 bed partners (3 women) were individually interviewed. Four themes emerged regarding impediments to CPAP use: 1) inadequate education and support, 2) CPAP maintenance and hygiene, 3) inconvenient design of CPAP interfaces, and 4) impediment to intimacy. Four themes emerged as facilitators to CPAP use: 1) provider and technical support, 2) properly fitted CPAP masks, 3) active support from partner and family, and 4) experiencing positive results from CPAP. CONCLUSIONS: African American patients with OSA and their bed partners identified several unique barriers and facilitators to CPAP use. Active involvement by bed partners was considered by both patients and partners as helpful in improving CPAP adherence. Interventions to improve OSA outcomes in this population should focus on patients and their bed partners.

How Should Clinicians Ally With Patients Whose Health Is Unlikely to Be Improved by Even Numerous Clinical Encounters?

Patients experiencing homelessness and mental illness face conditions and circumstances that deserve focused ethical and clinical attention. The first commentary on the case applies insights from qualitative research about social determinants of health to these patients' care and dignity. The second commentary describes 3 kinds of power wielded by physicians#x2014;charismatic, social, and Aesculapian#x2014;each of which is considered in terms of whether and to what extent physicians' power should be owned, aimed, or shared.

Evaluating and Modeling Neighborhood Diversity and Health Using Electronic Health Records.

BACKGROUND: Electronic health records (EHRs) provide researchers with abundant sample sizes, detailed clinical data, and other advantages for performing high-quality observational health research on diverse populations. We review and demonstrate strategies for the design and analysis of cohort studies on neighborhood diversity and health, including evaluation of the effects of race, ethnicity, and neighborhood socioeconomic position on disease prevalence and health outcomes, using localized EHR data. METHODS: Design strategies include integrating and harmonizing EHR data across multiple local health systems and defining the population(s) of interest and cohort extraction procedures for a given analysis based on the goal(s) of the study. Analysis strategies address inferential goals, including the mechanistic study of social risks, statistical adjustment for differences in distributions of social and neighborhood-level characteristics between available EHR data and the underlying local population, and inference on individual neighborhoods. We provide analyses of local variation in mortality rates within Cuyahoga County, Ohio. RESULTS: When the goal of the analysis is to adjust EHR samples to be more representative of local populations, sampling and weighting are effective. Causal mediation analysis can inform effects of racism (through racial residential segregation) on health outcomes. Spatial analysis is appealing for large-scale EHR data as a means for studying heterogeneity among neighborhoods even at a given level of overall neighborhood disadvantage. CONCLUSIONS: The methods described are a starting point for robust EHR-derived cohort analysis of diverse populations. The methods offer opportunities for researchers to pursue detailed analyses of current and historical underlying circumstances of social policy and inequality. Investigators can employ combinations of these methods to achieve greater robustness of results. HIGHLIGHTS: EHR data are an abundant resource for studying neighborhood diversity and health.When using EHR data for these studies, careful consideration of the goals of the study should be considered in determining cohort specifications and analytic approaches.Causal mediation analysis, stratification, and spatial analysis are effective methods for characterizing social mechanisms and heterogeneity across localized populations.

Forming Cardi-OH: A Statewide Collaborative to Improve Cardiovascular Health in Ohio.

Background Cardiovascular risk factor control is challenging, especially in disadvantaged populations. However, few statewide efforts exist to tackle this challenge. Therefore, our objective is to describe the formation of a unique statewide cardiovascular health collaborative so others may learn from this approach. Methodology With funding from the Ohio Department of Medicaid's Ohio Medicaid Technical Assistance and Policy Program, we used a collective impact model to link the seven medical schools in Ohio, primary care clinics across the state, the Ohio Department of Medicaid, and Ohio's Medicaid Managed Care Plans in a statewide health improvement collaborative for expanding primary care capacity to improve cardiovascular health in Ohio. Results Initial dissemination activities for primary care teams included a virtual case-based learning series focused on hypertension and social determinants of health, website resources, a monthly newsletter with clinical tips, webinars, and in-person conferences. The collaborative is aligned with a separately funded hypertension quality improvement project for paired implementation. Conclusions The collective impact model is a useful framework for developing a statewide collaborative focused on the dissemination and implementation of evidence-based best practices for cardiovascular health improvement and disparity reduction. Statewide collaboratives bringing payers, clinicians, and academic partners together have the potential to substantially impact cardiovascular health.

Health Status and Chronic Disease Burden of the Homeless Population: An Analysis of Two Decades of Multi-Institutional Electronic Medical Records.

Using a multi-institutional EMR registry, we extracted housing status and evaluated the presence of several important comorbidities in order to describe the demographics and comorbidity burden of persons experiencing homelessness in northeast Ohio and compare this to non-homeless individuals of varying socioeconomic position. Of 1,974,766 patients in the EMR registry, we identified 15,920 (0.8%) as homeless, 351,279 (17.8%) as non-homeless and in the top quintile of area deprivation index (ADI), and 1,607,567 (81.4%) as non-homeless and in the lower four quintiles of area deprivation. The comorbidity burden was highest in the homeless population with depression (48.1%), anxiety (45.8%), hypertension (44.2%), cardiovascular disease (18.4%), and hepatitis (18.1%) among the most prevalent conditions. We conclude that it is possible to identify homeless individuals and document their comorbidity burden using a multi-institutional EMR registry, in order to guide future interventions to address the health of the homeless at the health-system and community level.