Cardiovascular Risk Associated With Social Determinants of Health at Individual and Area Levels.

Importance: The benefit of adding social determinants of health (SDOH) when estimating atherosclerotic cardiovascular disease (ASCVD) risk is unclear. Objective: To examine the association of SDOH at both individual and area levels with ASCVD risks, and to assess if adding individual- and area-level SDOH to the pooled cohort equations (PCEs) or the Predicting Risk of CVD Events (PREVENT) equations improves the accuracy of risk estimates. Design, Setting, and Participants: This cohort study included participants data from 4 large US cohort studies. Eligible participants were aged 40 to 79 years without a history of ASCVD. Baseline data were collected from 1995 to 2007; median (IQR) follow-up was 13.0 (9.3-15.0) years. Data were analyzed from September 2023 to February 2024. Exposures: Individual- and area-level education, income, and employment status. Main outcomes and measures: ASCVD was defined as the composite outcome of nonfatal myocardial infarction, death from coronary heart disease, and fatal or nonfatal stroke. Results: A total of 26 316 participants were included (mean [SD] age, 61.0 [9.1] years; 15 494 women [58.9%]; 11 365 Black [43.2%], 703 Chinese American [2.7%], 1278 Hispanic [4.9%], and 12 970 White [49.3%]); 11 764 individuals (44.7%) had at least 1 adverse individual-level SDOH and 10 908 (41.5%) had at least 1 adverse area-level SDOH. A total of 2673 ASCVD events occurred during follow-up. SDOH were associated with increased risk of ASCVD at both the individual and area levels, including for low education (individual: hazard ratio [HR], 1.39 [95% CI, 1.25-1.55]; area: HR, 1.31 [95% CI, 1.20-1.42]), low income (individual: 1.35 [95% CI, 1.25-1.47]; area: HR, 1.28 [95% CI, 1.17-1.40]), and unemployment (individual: HR, 1.61 [95% CI, 1.24-2.10]; area: HR, 1.25 [95% CI, 1.14-1.37]). Adding area-level SDOH alone to the PCEs did not change model discrimination but modestly improved calibration. Furthermore, adding both individual- and area-level SDOH to the PCEs led to a modest improvement in both discrimination and calibration in non-Hispanic Black individuals (change in C index, 0.0051 [95% CI, 0.0011 to 0.0126]; change in scaled integrated Brier score [IBS], 0.396% [95% CI, 0.221% to 0.802%]), and improvement in calibration in White individuals (change in scaled IBS, 0.274% [95% CI, 0.095% to 0.665%]). Adding individual-level SDOH to the PREVENT plus area-level social deprivation index (SDI) equations did not improve discrimination but modestly improved calibration in White participants (change in scaled IBS, 0.182% [95% CI, 0.040% to 0.496%]), Black participants (0.187% [95% CI, 0.039% to 0.501%]), and women (0.289% [95% CI, 0.115% to 0.574%]). Conclusions and Relevance: In this cohort study, both individual- and area-level SDOH were associated with ASCVD risk; adding both individual- and area-level SDOH to the PCEs modestly improved discrimination and calibration for estimating ASCVD risk for Black individuals, and adding individual-level SDOH to PREVENT plus SDI also modestly improved calibration. These findings suggest that both individual- and area-level SDOH may be considered in future development of ASCVD risk assessment tools, particularly among Black individuals.

Lay Health Worker Interventions in Rheumatology: A Scoping Review.

OBJECTIVE: To determine next steps for lay health worker (LHW) intervention research, specifically in patients with rheumatic musculoskeletal diseases (RMD), there is a need to establish what strategies have been effective for chronic disease management thus far. The goal of this scoping review is to collate the literature of LHW interventions for adults with RMD to inform next steps for LHW research. METHODS: A comprehensive literature search was performed in the following databases from inception - September 2021: Ovid MEDLINE, Ovid EMBASE, CINAHL, PsycINFO and The Cochrane Library. Studies retrieved were then screened for eligibility against predefined inclusion/exclusion criteria. RESULTS: Twenty-two articles were eligible and included in this review. The most common RMD studied diseases, not mutually exclusive, were osteoarthritis (n=13), rheumatoid arthritis (n=9), and unspecified/other RMD (n=14). Most studies had a homogenous patient population enrolling White, non-Hispanic or Latina females over the age of sixty (n=13). Eight studies observed statistically significant results in the intervention arm compared to the control. Only one of these studies exhibited sustained treatment effects past one year. CONCLUSION: There are not enough data to conclude if LHW interventions have a positive, null, or negative effect in patients with RMD. Future LHW interventions should specify a priori hypotheses, be powered to detect statistical significance for primary outcomes, employ a theoretical framework, include an active control, describe training protocols for LHW, and increase minority representation, in order to establish the effectiveness of LHW for patients with RMD.

Spectrum of prevalent cardiovascular diseases in urban Port-au-Prince, Haiti: a population-based cross-sectional study.

Background: Eighty percent of global cardiovascular disease (CVD) is projected to occur in low- and middle -income countries (LMICs), yet local epidemiological data are scarce. We provide the first population-based, adjudicated CVD prevalence estimates in Port-au-Prince, Haiti to describe the spectrum of heart disease and investigate associated risk factors. Methods: Demographic, medical history, clinical, imaging and laboratory data were collected among adults recruited using multistage random sampling from 2019 to 2021. Prevalent CVD (heart failure, stroke, ischemic disease) were adjudicated using epidemiological criteria similar to international cohorts. Multivariable Poisson regressions assessed relationships between risk factors and prevalent CVD. Findings: Among 3003 participants, median age was 40 years, 58.1% were female, 70.2% reported income <1 USD/day, and all identified as Black Haitian. CVD age-adjusted prevalence was 14.7% (95% CI 13.3%, 16.5%), including heart failure (11.9% [95% CI 10.5%, 13.5%]), stroke (2.4% [95% CI 1.9%, 3.3%]), angina (2.1% [95% CI 1.6%, 2.9%]), myocardial infarction (1.0% [95% CI 0.6%, 1.8%]), and transient ischemic attack (0.4% [95% CI 0.2%, 1.0%]). Among participants with heart failure, median age was 57 years and 68.5% of cases were among women. The most common subtype was heart failure with preserved ejection fraction (80.4%). Heart failure was associated with hypertension, obesity, chronic kidney disease, depression, and stress. Interpretation: Early-onset heart failure prevalence is alarmingly high in urban Haiti and challenge modelling assumptions that ischemic heart disease and stroke dominate CVDs in LMICs. These data underscore the importance of local population-based epidemiologic data within LMICs to expedite the selection and implementation of evidence-based cardiovascular health policies targeting each country's spectrum of heart disease. Funding: This study was funded by NIH grants R01HL143788, D43TW011972, and K24HL163393, clinicaltrials.govNCT03892265.

"Should I Prioritize My Cancer or My Diabetes?": Patient-Perceived Barriers to Co-Managing Cancer and Diabetes Mellitus.

Among patients with cancer, diabetes mellitus (DM) is a prevalent comorbid condition. With an aging population and an increase in the prevalence of cancer and DM, the number of cancer patients with DM will rise. To date, studies have largely focused on understanding the context of cancer and DM co-management from the perspectives of oncology and primary care providers. To better understand the potential barriers to optimal cancer and DM co-management, we conducted 17 semi-structured interviews with DM patients receiving cancer care at New York-Presbyterian Weill Cornell Medical Center outpatient oncology clinics in New York, NY. In total, 53% patients were female, 35% were non-White, and the mean age was 64.75 (SD 11.10) years. We qualitatively analyzed our data and identified the following nine themes: (1) patients develop DM during or after cancer treatment; (2) patients do not know about the possible interactions between DM and cancer treatment; (3) cancer care is prioritized over DM management; (4) severity of DM symptoms drive patients' DM self-management during cancer care; (5) impact of cancer treatment on quality of life; (6) demands from cancer care make DM management more difficult; (7) patients want individualized treatment plans that integrate DM and cancer co-management; (8) need for greater patient activation; (9) lack of patient-centered educational resources on DM management during cancer care. Owing to these results, our findings highlight the need to increase patient engagement by developing and disseminating patient-centered educational resources on cancer and DM to improve self-management practices and patient outcomes.

Association Between Young Adult Characteristics and Blood Pressure Trajectories.

BACKGROUND: Blood pressure (BP) trajectories from young adulthood through middle age are associated with cardiovascular risk. We examined the associations of hypertension risk factors with BP trajectories among a large diverse sample. METHODS AND RESULTS: We analyzed data from young adults, aged 18 to 39 years, with untreated BP <140/90 mm Hg at baseline from Kaiser Permanente Southern California (N=355 324). We used latent growth curve models to identify 10-year BP trajectories and to assess the associations between characteristics in young adulthood and BP trajectories. We identified the following 5 distinct systolic BP trajectories, which appeared to be determined mainly by the baseline BP with progressively higher BP at each year: group 1 (lowest BP trajectory, 7.9%), group 2 (26.5%), group 3 (33.0%), group 4 (25.4%), and group 5 (highest BP trajectory, 7.3%). Older age (adjusted odds ratio for 30-39 versus 18-29 years, 1.23 [95% CI, 1.18-1.28]), male sex (13.38 [95% CI, 12.80-13.99]), obesity (body mass index ≥30 versus 18.5-24.9 kg/m2, 14.81 [95% CI, 14.03-15.64]), overweight (body mass index 25-29.9 versus 18.5-24.9 kg/m2, 3.16 [95% CI, 3.00-3.33]), current smoking (1.58 [95% CI, 1.48-1.67]), prediabetes (1.21 [95% CI, 1.13-1.29]), diabetes (1.60 [95% CI, 1.41-1.81]) and high low-density lipoprotein cholesterol (≥160 versus <100 mg/dL, 1.52 [95% CI, 1.37-1.68]) were associated with the highest BP trajectory (group 5) compared with the reference group (group 2). CONCLUSIONS: Traditional hypertension risk factors including smoking, diabetes, and elevated lipids were associated with BP trajectories in young adults, with obesity having the strongest association with the highest BP trajectory group.

Ambulatory Care Fragmentation and Total Health Care Costs.

BACKGROUND: The magnitude of the relationship between ambulatory care fragmentation and subsequent total health care costs is unclear. OBJECTIVE: To determine the association between ambulatory care fragmentation and total health care costs. RESEARCH DESIGN: Longitudinal analysis of 15 years of data (2004-2018) from the national Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, linked to Medicare fee-for-service claims. SUBJECTS: A total of 13,680 Medicare beneficiaries who are 65 years and older. MEASURES: We measured ambulatory care fragmentation in each calendar year, defining high fragmentation as a reversed Bice-Boxerman Index ≥0.85 and low as <0.85. We used generalized linear models to determine the association between ambulatory care fragmentation in 1 year and total Medicare expenditures (costs) in the following year, adjusting for baseline demographic and clinical characteristics, a time-varying comorbidity index, and accounting for geographic variation in reimbursement and inflation. RESULTS: The average participant was 70.9 years old; approximately half (53%) were women. One-fourth (26%) of participants had high fragmentation in the first year of observation. Those participants had a median of 9 visits to 6 providers, with the most frequently seen provider accounting for 29% of visits. By contrast, participants with low fragmentation had a median of 8 visits to 3 providers, with the most frequently seen provider accounting for 50% of visits. High fragmentation was associated with $1085 more in total adjusted costs per person per year (95% CI $713 to $1457) than low fragmentation. CONCLUSIONS: Highly fragmented ambulatory care in 1 year is independently associated with higher total costs the following year.

Practice Facilitation and Peer Coaching for Uncontrolled Hypertension Among Black Individuals: A Randomized Clinical Trial.

Importance: Rural Black participants need effective intervention to achieve better blood pressure (BP) control. Objective: Among Black rural adults with persistently uncontrolled hypertension attending primary care clinics, to determine whether peer coaching (PC), practice facilitation (PF), or both (PCPF) are superior to enhanced usual care (EUC) in improving BP control. Design, Setting, and Participants: A cluster randomized clinical trial was conducted in 69 rural primary care practices across Alabama and North Carolina between September 23, 2016, and September 26, 2019. The participating practices were randomized to 4 groups: PC plus EUC, PF plus EUC, PCPF plus EUC, and EUC alone. The baseline EUC approach included a laptop for each participating practice with hyperlinks to participant education on hypertension, a binder of practice tips, a poster showing an algorithm for stepped care to improve BP, and 25 home BP monitors. The trial was stopped on February 28, 2021, after final data collection. The study included Black participants with persistently uncontrolled hypertension. Data were analyzed from February 28, 2021, to December 13, 2022. Interventions: Practice facilitators helped practices implement at least 4 quality improvement projects designed to improve BP control throughout 1 year. Peer coaches delivered a structured program via telephone on hypertension self-management throughout 1 year. Main Outcomes and Measures: The primary outcome was the proportion of participants in each trial group with BP values of less than 140/90 mm Hg at 6 months and 12 months. The secondary outcome was a change in the systolic BP of participants at 6 months and 12 months. Results: A total of 69 practices were randomized, and 1209 participants' data were included in the analysis. The mean (SD) age of participants was 58 (12) years, and 748 (62%) were women. In the intention-to-treat analyses, neither intervention alone nor in combination improved BP control or BP levels more than EUC (at 12 months, PF vs EUC odds ratio [OR], 0.94 [95% CI, 0.58-1.52]; PC vs EUC OR, 1.30 [95% CI, 0.83-2.04]; PCPF vs EUC OR, 1.02 [95% CI, 0.64-1.64]). In preplanned subgroup analyses, participants younger than 60 years in the PC and PCPF groups experienced a significant 5 mm Hg greater reduction in systolic BP than participants younger than 60 years in the EUC group at 12 months. Practicewide BP control estimates in PF groups suggested that BP control improved from 54% to 61%, a finding that was not observed in the trial's participants. Conclusions and Relevance: The results of this cluster randomized clinical trial demonstrated that neither PC nor PF demonstrated a superior improvement in overall BP control compared with EUC. However, PC led to a significant reduction in systolic BP among younger adults. Trial Registration: ClinicalTrials.gov Identifier: NCT02866669.

Association Between Pharmacy Proximity With Cardiovascular Medication Use and Risk Factor Control in the United States.

BACKGROUND: Poor neighborhood-level access to health care, including community pharmacies, contributes to cardiovascular disparities in the United States. The authors quantified the association between pharmacy proximity, antihypertensive and statin use, and blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) among a large, diverse US cohort. METHODS AND RESULTS: A cross-sectional analysis of Black and White participants in the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study during 2013 to 2016 was conducted. The authors designated pharmacy proximity by census tract using road network analysis with population-weighted centroids within a 10-minute drive time, with 5- and 20-minute sensitivity analyses. Pill bottle review measured medication use, and BP and LDL-C were assessed using standard methods. Poisson regression was used to quantify the association between pharmacy proximity with medication use and BP control, and linear regression for LDL-C. Among 16 150 REGARDS participants between 2013 and 2016, 8319 (51.5%) and 8569 (53.1%) had an indication for antihypertensive and statin medication, respectively, and pharmacy proximity data. The authors did not find a consistent association between living in a census tract with higher pharmacy proximity and antihypertensive medication use, BP control, or statin medication use and LDL-C levels, regardless of whether the area was rural, suburban, or urban. Results were similar among the 5- and 20-minute drive-time analyses. CONCLUSIONS: Living in a low pharmacy proximity census tract may be associated with antihypertensive and statin medication use, or with BP control and LDL-C levels. Although, in this US cohort, outcomes were similar for adults living in high or low pharmacy proximity census tracts.

Neighborhood Disadvantage and Risk of Heart Failure: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

BACKGROUND: Heart failure (HF) affects >6 million US adults, with recent increases in HF hospitalizations. We aimed to investigate the association between neighborhood disadvantage and incident HF events and potential differences by diabetes status. METHODS: We included 23 645 participants from the REGARDS study (Reasons for Geographic and Racial Differences in Stroke), a prospective cohort of Black and White adults aged ≥45 years living in the continental United States (baseline 2005-2007). Neighborhood disadvantage was assessed using a Z score of 6 census tract variables (2000 US Census) and categorized as quartiles. Incident HF hospitalizations or HF-related deaths through 2017 were adjudicated. Multivariable-adjusted Cox regression was used to examine the association between neighborhood disadvantage and incident HF. Heterogeneity by diabetes was assessed using an interaction term. RESULTS: The mean age was 64.4 years, 39.5% were Black adults, 54.9% females, and 18.8% had diabetes. During a median follow-up of 10.7 years, there were 1125 incident HF events with an incidence rate of 3.3 (quartile 1), 4.7 (quartile 2), 5.2 (quartile 3), and 6.0 (quartile 4) per 1000 person-years. Compared to adults living in the most advantaged neighborhoods (quartile 1), those living in neighborhoods in quartiles 2, 3, and 4 (most disadvantaged) had 1.30 (95% CI, 1.06-1.60), 1.36 (95% CI, 1.11-1.66), and 1.45 (95% CI, 1.18-1.79) times greater hazard of incident HF even after accounting for known confounders. This association did not significantly differ by diabetes status (interaction P=0.59). For adults with diabetes, the adjusted incident HF hazards comparing those in quartile 4 versus quartile 1 was 1.34 (95% CI, 0.92-1.96), and it was 1.50 (95% CI, 1.16-1.94) for adults without diabetes. CONCLUSIONS: In this large contemporaneous prospective cohort, neighborhood disadvantage was associated with an increased risk of incident HF events. This increase in HF risk did not differ by diabetes status. Addressing social, economic, and structural factors at the neighborhood level may impact HF prevention.

Association of Healthy Lifestyle and Incident Polypharmacy.

BACKGROUND: Polypharmacy, commonly defined as taking ≥5 medications, is an undesirable state associated with lower quality of life. Strategies to prevent polypharmacy may be an important priority for patients. We sought to examine the association of healthy lifestyle, a modifiable risk factor, with incident polypharmacy. METHODS: We performed a secondary analysis of the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study, including 15,478 adults aged ≥45 years without polypharmacy at baseline. The primary exposure was healthy lifestyle at baseline as measured by the Healthy Behavior Score (HBS), a cumulative assessment of diet, exercise frequency, tobacco smoking, and sedentary time. HBS ranges from 0-8, whereby 0-2 indicates low HBS, 3-5 indicates moderate HBS, and 6-8 indicates high HBS. We used multinomial logistic regression to examine the association between HBS and incident polypharmacy, survival without polypharmacy, and death. RESULTS: Higher HBS (i.e., healthier lifestyle) was inversely associated with incident polypharmacy after adjusting for sociodemographic and baseline health variables. Compared with participants with low HBS, those with moderate HBS had lower odds of incident polypharmacy (odds ratio [OR] 0.85; 95% confidence interval [CI], 0.73-0.98) and lower odds of dying (OR 0.74; 95% CI, 0.65-0.83). Participants with high HBS had even lower odds of both incident polypharmacy (OR 0.75; 95% CI, 0.64-0.88) and death (OR 0.62; 95% CI, 0.54-0.70). There was an interaction for age, where the association between HBS and incident polypharmacy was most pronounced for participants aged ≤65 years. CONCLUSIONS: Healthier lifestyle was associated with lower risk for incident polypharmacy.

Prognostic Factors in Alcohol-associated Liver Disease Patients Presenting With First Evidence of Ascites.

GOALS: To identify factors associated with transplantation and death in alcohol-associated liver disease (ALD) patients presenting with first evidence of ascites. BACKGROUND: Ascites development is a poor prognostic sign for patients with cirrhosis. Among ALD patients, the baseline factors at time of ascites development that are associated with eventual transplantation or death are currently unknown. STUDY: Adult patients with ascites in the "Evaluating Alcohol Use in Alcohol-related Liver Disease Prospective Cohort Study" (NCT03267069 clinicaltrials.gov) were identified from 2016 to 2020. Demographic, clinical, and laboratory factors at initial ascites presentation were identified as potential predictors of transplant and death as competing risks. RESULTS: A total of 96 patients were identified. Median (interquartile range) follow-up time was 2.00 years (0.87 to 3.85). By last follow-up, 34/96 patients had been transplanted (35.4%) and 11/96 had died (11.4%). Prognostic factors for transplant included age per decade [hazard ratio (HR): 0.52 (95% CI, 0.33 to 0.83)], employed status [HR: 0.35 (95% CI, 0.14 to 0.90)], and sodium [HR: 0.94 (95% CI, 0.90 to 0.99)], whereas prognostic factors for death were body mass index [HR: 1.11 (95% CI, 1.00 to 1.22)], Charlson index [HR: 2.14 [95% CI, 1.13 to 4.08]), Maddrey Discriminant Function >32 (HR: 5.88 (95% CI, 1.18, 29.39)], aspartate aminotransferase [HR: 0.99 (95% CI, 0.98 to 0.997)], and a prior 12-month abstinence period [HR: 5.53 (95% CI, 1.10 to 27.83)], adjusted for age, sex, and ALD subcategory. CONCLUSIONS: Several factors at initial ascites presentation are associated with increased risk of transplantation or death and validation in larger cohorts will allow for improved risk stratification for ALD patients.

Risk Prediction for Atherosclerotic Cardiovascular Disease With and Without Race Stratification.

Importance: Use of race-specific risk prediction in clinical medicine is being questioned. Yet, the most commonly used prediction tool for atherosclerotic cardiovascular disease (ASCVD)-pooled cohort risk equations (PCEs)-uses race stratification. Objective: To quantify the incremental value of race-specific PCEs and determine whether adding social determinants of health (SDOH) instead of race improves model performance. Design, Setting, and Participants: Included in this analysis were participants from the biracial Reasons for Geographic and Racial Differences in Stroke (REGARDS) prospective cohort study. Participants were aged 45 to 79 years, without ASCVD, and with low-density lipoprotein cholesterol level of 70 to 189 mg/dL or non-high-density lipoprotein cholesterol level of 100 to 219 mg/dL at baseline during the period of 2003 to 2007. Participants were followed up to 10 years for incident ASCVD, including myocardial infarction, coronary heart disease death, and fatal and nonfatal stroke. Study data were analyzed from July 2022 to February 2023. Main outcome/measures: Discrimination (C statistic, Net Reclassification Index [NRI]), and calibration (plots, Nam D'Agostino test statistic comparing observed to predicted events) were assessed for the original PCE, then for a set of best-fit, race-stratified equations including the same variables as in the PCE (model C), best-fit equations without race stratification (model D), and best-fit equations without race stratification but including SDOH as covariates (model E). Results: This study included 11 638 participants (mean [SD] age, 61.8 [8.3] years; 6764 female [58.1%]) from the REGARDS cohort. Across all strata (Black female, Black male, White female, and White male participants), C statistics did not change substantively compared with model C (Black female, 0.71; 95% CI, 0.68-0.75; Black male, 0.68; 95% CI, 0.64-0.73; White female, 0.77; 95% CI, 0.74-0.81; White male, 0.68; 95% CI, 0.64-0.71), in model D (Black female, 0.71; 95% CI, 0.67-0.75; Black male, 0.68; 95% CI, 0.63-0.72; White female, 0.76; 95% CI, 0.73-0.80; White male, 0.68; 95% CI, 0.65-0.71), or in model E (Black female, 0.72; 95% CI, 0.68-0.76; Black male, 0.68; 95% CI, 0.64-0.72; White female, 0.77; 95% CI, 0.74-0.80; White male, 0.68; 95% CI, 0.65-0.71). Comparing model D with E using the NRI showed a net percentage decline in the correct assignment to higher risk for male but not female individuals. The Nam D'Agostino test was not significant for all race-sex strata in each model series, indicating good calibration in all groups. Conclusions: Results of this cohort study suggest that PCE performed well overall but had poorer performance in both BM and WM participants compared with female participants regardless of race in the REGARDS cohort. Removal of race or the addition of SDOH did not improve model performance in any subgroup.

Affordable Care Act Medicaid expansion associated with increased liver transplant waitlist access without worsening mortality.

It is unclear what impact Affordable Care Act (ACA) Medicaid expansion has had on the liver transplantation (LT) waitlist. We aimed to assess associations between ACA Medicaid expansion and LT waitlist outcomes. The United Network for Organ Sharing Standard Transplant Analysis and Research (UNOS STAR) database was queried for patients listed for LT between January 1, 2009, and December 31, 2018. Our primary outcome was waitlist mortality and our secondary outcomes included Medicaid use on the LT waitlist and transplant rate. States were divided into groups based on their expansion status and the study period was divided into 2 time intervals-pre-expansion and post-expansion. Difference-in-difference (DiD) models were created to assess the impacts of expansion on each of the outcomes and for racial/ethnic and sex groups. In total, 56,414 patients from expansion states and 32,447 patients from nonexpansion states were included. Three-year waitlist mortality decreased at a similar rate in both cohorts [DiD estimate: 0.1, (95% CI, -1.1, -1.4), p = 0.838], but Medicaid use increased [DiD estimate: +7.7, (95% CI, 6.7, 8.7), p < 0.001] to a greater degree in expansion states after expansion than nonexpansion states. Between the 2 time intervals, Medicaid use on the LT waitlist increased from 19.4% to 26.1% in expansion states but decreased from 13.4% to 12.1% in nonexpansion states. In patients on Medicaid, there was a slight increase in the 3-year transplant rate associated with Medicaid expansion [DiD estimate +5.0, (95% CI, 1.8, 8.3), p = 0.002], which may in part be explained by differences in patient characteristics. Medicaid expansion was associated with increased Medicaid use on the LT waitlist without worsening overall waitlist mortality or transplant rate, suggesting that lenient and widespread public health insurance may increase access to the LT waitlist without adversely affecting outcomes.

Building knowledge using a novel web-based intervention to promote HPV vaccination in a diverse, low-income population.

OBJECTIVES: HPV vaccination rates remain suboptimal despite proven efficacy. Data suggest misconceptions or lack of knowledge are leading barriers. Our study aimed to develop and pilot a novel interactive education resource designed to educate parents and patients about HPV vaccines. METHODS: This is a prospective pilot study conducted in an urban teaching hospital pediatric clinic. The Patient Activated Learning System (PALS) intervention included 3 web-based videos with HPV vaccine-related educational content. Participants were parents of adolescent patients, aged 11-17 years, and young adult patients, aged 18-26 years. Enrolled participants completed an HPV vaccine knowledge survey before and after watching PALS; paired scores were evaluated. Acceptability and participant-reported impact of PALS modules were measured via Likert-scale surveys. RESULTS: 132 individuals were approached; 101 (76%) enrolled and completed the study. Participants self-identified as Hispanic (50%), non-Hispanic Black (23%), non-Hispanic White (7%), Asian (6%), American/Alaskan/Hawaiian Native or Pacific Islander (5%). Half reported earning ≤$40,000 annually; 57% had only a high school education. Post-intervention knowledge scores were increased compared to baseline (9.87/27 points vs 17.53/27 points, p < 0.01). PALS modules were reported as enjoyable to use and understandable (89% and 93%, respectively), and improved participants' understanding of the importance of HPV vaccination (90%). Of the 18 patients unvaccinated at baseline, 39% received 1 shot of the HPV vaccine within one month. CONCLUSION: The PALS HPV vaccine educational intervention was feasible, acceptable, and improved knowledge among a diverse, underserved population. Our intervention may positively influence HPV vaccination rates, with potential to overcome HPV vaccine hesitancy.

Perspectives of Black Adults Living with Chronic Obstructive Pulmonary Disease on Barriers to Cardiovascular Disease Prevention.

RATIONALE: Cardiovascular disease (CVD) is a leading cause of morbidity and mortality among individuals with chronic obstructive pulmonary disease (COPD). Black women with COPD are at elevated risk of CVD-related mortality compared to White women. CVD risk factors are undertreated in Black men and women. However, barriers to CVD prevention from the perspective of Black individuals living with COPD have not been previously identified. OBJECTIVE: To identify barriers and facilitators for CVD prevention among Black individuals living with COPD. METHODS: We conducted semi-structured interviews with Black participants living with COPD and attending clinics at two urban hospitals. Participants were included if they had physician confirmed COPD diagnosis and presence of CVD or CVD risk factors. Participants were interviewed until thematic saturation was reached, with additional interviews conducted to confirm saturation. Data were analyzed using thematic analysis, iteratively revising, and updating the codebook by consensus of the study team. Codes were grouped into categories, subthemes, and themes. Themes were organized using the social ecological framework into individual, interpersonal, health system, and societal levels. RESULTS: We interviewed 30 participants of mean age 67.8 ± 8.3 years; 17 (57%) were Black women and 13 (43%) were Black men. Individual-level themes were: living with COPD and resultant multimorbidity impacts CVD prevention (theme 1), and self-efficacy and advocacy impact care received (theme 2). At the interpersonal level: supportive relationships facilitate improved access to CVD prevention (theme 3). System level themes were: health systems are not designed to support patients with COPD and CVD (theme 4), and health systems do not deliver effective patient education (theme 5). At the societal level: structural barriers and racism prevent accessing care and adopting a healthy lifestyle (theme 6). CONCLUSIONS: We identified barriers to CVD prevention at all levels of the socio-ecological framework for Black individuals living with COPD. To maximize their impact, future interventions to prevent CVD among individuals with COPD can use these findings to target barriers at multiple levels.

Social Determinants of Health and Cardiologist Involvement in the Care of Adults Hospitalized for Heart Failure.

Importance: Involvement of a cardiologist in the care of adults during a hospitalization for heart failure (HF) is associated with reduced rates of in-hospital mortality and hospital readmission. However, not all patients see a cardiologist when they are hospitalized for HF. Objective: To determine whether social determinants of health (SDOH) are associated with cardiologist involvement in the management of adults hospitalized for HF. Design, Setting, and Participants: This retrospective cohort study used data from the Reasons for Geographic and Racial Difference in Stroke (REGARDS) cohort. Participants included adults who experienced an adjudicated hospitalization for HF between 2009 and 2017 in all 48 contiguous states in the US. Data analysis was performed from November 2022 to January 2023. Exposures: A total of 9 candidate SDOH, aligned with the Healthy People 2030 conceptual model, were examined: Black race, social isolation, social network and/or caregiver availability, educational attainment less than high school, annual household income less than $35 000, living in rural area, living in a zip code with high poverty, living in a Health Professional Shortage Area, and living in a state with poor public health infrastructure. Main Outcomes and Measures: The primary outcome was cardiologist involvement, defined as involvement of a cardiologist as the primary responsible clinician or as a consultant. Bivariate associations between each SDOH and cardiologist involvement were examined using Poisson regression with robust SEs. Results: The study included 1000 participants (median [IQR] age, 77.8 [71.5-84.0] years; 479 women [47.9%]; 414 Black individuals [41.4%]; and 492 of 876 with low income [56.2%]) hospitalized at 549 unique US hospitals. Low annual household income (<$35 000) was the only SDOH with a statistically significant association with cardiologist involvement (relative risk, 0.88; 95% CI, 0.82-0.95). In a multivariable analysis adjusting for age, race, sex, HF characteristics, comorbidities, and hospital characteristics, low income remained inversely associated with cardiologist involvement (relative risk, 0.89; 95% CI, 0.82-0.97). Conclusions and Relevance: This cohort study found that adults with low household income were 11% less likely than adults with higher incomes to have a cardiologist involved in their care during a hospitalization for HF. These findings suggest that socioeconomic status may bias the care provided to patients hospitalized for HF.

Myocardial infarction and physical function: the REasons for Geographic And Racial Differences in Stroke prospective cohort study.

Objective: To examine associations between myocardial infarction (MI) and multiple physical function metrics. Methods: Among participants aged ≥45 years in the REasons for Geographic And Racial Differences in Stroke prospective cohort study, instrumental activities of daily living (IADL), activities of daily living (ADL), gait speed, chair stands, and Short Form-12 physical component summary (PCS) were assessed after approximately 10 years of follow-up. We examined associations between MI and physical function (no MI [n = 9,472], adjudicated MI during follow-up [n = 288, median 4.7 years prior to function assessment], history of MI at baseline [n = 745], history of MI at baseline and adjudicated MI during follow-up [n = 70, median of 6.7 years prior to function assessment]). Models were adjusted for sociodemographic characteristics, health behaviours, depressive symptoms, cognitive impairment, body mass index, diabetes, hypertension, and urinary albumin to creatinine ratio. We examined subgroups defined by age, gender, and race. Results: The average age at baseline was 62 years old, 56% were women, and 35% Black. MI was significantly associated with worse IADL and ADL scores, IADL dependency, chair stands, and PCS, but not ADL dependency or gait speed. For example, compared to participants without MI, IADL scores (possible range 0-14, higher score represents worse function) were greater for participants with MI during follow-up (difference: 0.37 [95% CI 0.16, 0.59]), MI at baseline (0.26 [95% CI 0.12, 0.41]), and MI at baseline and follow-up (0.71 [95% CI 0.15, 1.26]), p < 0.001. Associations tended to be greater in magnitude among participants who were women and particularly Black women. Conclusion: MI was associated with various measures of physical function. These decrements in function associated with MI may be preventable or treatable.

Comparative Discrimination of Life's Simple 7 and Life's Essential 8 to Stratify Cardiovascular Risk: Is the Added Complexity Worth It?

BACKGROUND: Life's Simple 7 (LS7) is an easily calculated and interpreted metric of cardiovascular health based on 7 domains: smoking, diet, physical activity, body mass index, blood pressure, cholesterol, and fasting glucose. The Life's Essential 8 (LE8) metric was subsequently introduced, adding sleep metrics and revisions of the previous 7 domains. Although calculating LE8 requires additional information, we hypothesized that it would be a more reliable index of cardiovascular health. METHODS: Both the LS7 and LE8 metrics yield scores with higher values indicating lower risk. These were calculated among 11 609 Black and White participants free of baseline cardiovascular disease (CVD) in the Reasons for Geographic and Racial Differences in Stroke study, enrolled in 2003 to 2007, and followed for a median of 13 years. Differences in 10-year risk of incident CVD (coronary heart disease or stroke) were calculated as a function LS7, and LE8 scores were calculated using Kaplan-Meier and proportional hazards analyses. Differences in incident CVD discrimination were quantified by difference in the c-statistic. RESULTS: For both LS7 and LE8, the 10-year risk was approximately 5% for participants around the 99th percentile of scores, and a 4× higher 20% risk for participants around the first percentile. Comparing LS7 to LE8, 10-year risk was nearly identical for individuals at the same relative position in score distribution. For example, the "cluster" of 2013 participants with an LS7 score of 7 was at the 35.8th percentile in distribution of LS7 scores, and had an estimated 10-year CVD risk of 8.4% (95% CI, 7.2%-9.8%). In a similar location in the LE8 distribution, the 1457 participants with an LE8 score of 60±2.5 at the 39.4th percentile of LE8 scores, with a 10-year risk of CVD of 8.5% (95% CI, 7.1%-10.1%), similar to the cluster defined by LS7. The age-race-sex adjusted c-statistic of the LS7 model was 0.691 (95% CI, 0.667-0.705), and 0.695 for LE8 (95% CI, 0.681-0.709) (P for difference, 0.12). CONCLUSIONS: Both LS7 and LE8 were associated with incident CVD, with discrimination of the 2 indices practically indistinguishable. As a simpler metric, LS7 may be favored for use by the general population and clinicians.

Towards diagnostic excellence on academic ward teams: building a conceptual model of team dynamics in the diagnostic process.

OBJECTIVES: Achieving diagnostic excellence on medical wards requires teamwork and effective team dynamics. However, the study of ward team dynamics in teaching hospitals is relatively underdeveloped. We aim to enhance understanding of how ward team members interact in the diagnostic process and of the underlying behavioral, psychological, and cognitive mechanisms driving team interactions. METHODS: We used mixed-methods to develop and refine a conceptual model of how ward team dynamics in an academic medical center influence the diagnostic process. First, we systematically searched existing literature for conceptual models and empirical studies of team dynamics. Then, we conducted field observations with thematic analysis to refine our model. RESULTS: We present a conceptual model of how medical ward team dynamics influence the diagnostic process, which serves as a roadmap for future research and interventions in this area. We identified three underexplored areas of team dynamics that are relevant to diagnostic excellence and that merit future investigation (1): ward team structures (e.g., team roles, responsibilities) (2); contextual factors (e.g., time constraints, location of team members, culture, diversity); and (3) emergent states (shared mental models, psychological safety, team trust, and team emotions). CONCLUSIONS: Optimizing the diagnostic process to achieve diagnostic excellence is likely to depend on addressing all of the potential barriers and facilitators to ward team dynamics presented in our model.