Associations of Homelessness With Primary Care and Acute Care Utilization Among Medicaid-Enrolled Youth.

BACKGROUND: Youth comprise one-third of the US homeless population. However, little is known about how homelessness affects health care utilization. OBJECTIVE: Examine associations of homelessness with hospitalization, primary care, and ED visits, varying by race/ethnicity, among Medicaid-enrolled youth. RESEARCH DESIGN: A cross-sectional analysis was conducted using California Medicaid claims data on youth beneficiaries with complex needs. We examined the number of hospitalizations, preventable and nonpreventable ED, and primary care visits using a multivariate regression. We further explored the differential associations by race/ethnicity. RESULTS: Approximately 17% of our sampled youth experienced homelessness in 2018 (N=90,202). Compared with their housed counterparts, youth experiencing homelessness had a 1.9 percentage point (pp) higher likelihood of frequent ED visits (95% CI: 1.7-2.2) but a 2.9 pp lower probability of any primary care visits (95% CI: -3.9 to -1.9). Homelessness was associated with 221 more ED visits (95% CI: 182-260), 100 more preventable ED visits (95% CI: 84-116), 19.9 more hospitalizations (95% CI: 12-27), but 56 fewer primary care visits (95% CI: -104 to -7), per 1000 youth. The associations of homelessness with total ED visits, preventable ED visits, and needed and nonpreventable ED visits were all higher among Whites and, particularly, Blacks than for Hispanics and Asians. CONCLUSIONS: Medicaid-enrolled youth who experienced homelessness had more overall ED, preventable ED, and hospital visits, but fewer primary care visits than their housed peers. Our results suggest promoting primary care use should be considered among strategies to improve health and reduce costs.

The Association of High-Quality Hospital Use on Health Care Outcomes for Pediatric Congenital Heart Defects in a Universal Health Care System.

INTRODUCTION: Congenital heart disease (CHD) has an incidence of 0.8% to 1.2% worldwide, making it the most common birth defect. Researchers have compared high-volume to low-volume hospitals and found significant hospital-level variation in major complications, health resource utilization, and mortality after CHD surgery. In addition, researchers found critical CHD patients at low-volume/non-teaching facilities to be associated with higher odds of inpatient mortality when compared to CHD patients at high-volume/teaching hospitals (odds ratio 1.76). We examined the effects of high-quality hospital (HQH) use on health care outcomes and health care costs in pediatric CHD care using an instrumental variable (IV) approach. MATERIALS AND METHODS: Using nationwide representative claim data from the United States Military Health System from 2016 to 2020, TRICARE beneficiaries with a diagnosis of CHD were tabulated based on relevant ICD-10 (International Classification of Diseases, 10th revision) codes. We examined the relationships between annual readmissions, annual emergency room (ER) use, and mortality and HQH use. We applied both the naive linear probability model (LPM), controlling for the observed patient and hospital characteristics, and the two-stage least squares (2SLS) model, accounting for the unobserved confounding factors. The differential distance between the patient and the closest HQH at the index date and the patient and nearest non-HQH was used as the IV. This protocol was approved by the Institutional Review Board at the University of Maryland, College Park (Approval Number: 1576246-2). RESULTS: The naive LPM indicated that HQH use was associated with a higher probability of annual readmissions (marginal effect, 18%; 95% CI, 0.12 to 0.23). The naive LPM indicated that HQH use was associated with a higher probability of mortality (marginal effect, 2.2%; 95% CI, 0.01 to 0.03). Using the differential distance of closest HQH and non-HQH, we identified a significant association between HQH use and annual ER use (marginal effect, -14%; 95% CI, -0.24 to -0.03). CONCLUSIONS: After controlling for patient-level and facility-level covariates and adjusting for endogeneity, (1) HQH use did not increase the probability of more than one admission post 1-year CHD diagnosis, (2) HQH use lowered the probability of annual ER use post 1-year CHD diagnosis, and (3) HQH use did not increase the probability of mortality post 1-year CHD diagnosis. Patients who may have benefited from utilizing HQH for CHD care did not, alluding to potential barriers to access, such as health insurance restrictions or lack of patient awareness. Although we used hospital quality rating for congenital cardiac surgery as reported by the Society of Thoracic Surgeons, the contributing data span a 4-year period and may not reflect real-time changes in center performance. Since this study focused on inpatient care within the first-year post-initial CHD diagnosis, it may not reflect the full range of health system utilization. It is necessary for clinicians and patient advocacy groups to collaborate with policymakers to promote the development of an overarching HQH designation authority for CHD care. Such establishment will facilitate access to HQH for military beneficiary populations suffering from CHD.

Disparities in Screening for Adverse Childhood Experiences.

INTRODUCTION: Screening for adverse childhood experiences (ACEs) in the clinical setting is set to become more commonplace with continued efforts to reimburse clinicians for screening. However, an examination of disparities in ACEs screening and related attitudes and beliefs is needed. METHODS: Using the 2021 California Health Interview Survey (CHIS), this study examined if several measures of socioeconomic status, access to care and identities were associated with 3 outcomes: 1) getting screened for ACEs by a clinician; 2) beliefs about the importance of screening and 3) satisfaction with efforts to address the impacts of ACEs. Logistic regressions were used to estimate odds of the outcomes. RESULTS: Black, Latinx, and Asian individuals had lower odds of being screened for ACEs than non-Hispanic Whites. A recent doctor's visit, higher burden of ACEs, and serious psychological distress were associated with higher odds of being screened. Latinx individuals, women, bisexual individuals, those with a recent doctor's visit and those with serious psychological distress had higher odds of believing clinicians asking about ACEs was very important, relative to their counterparts. Latinx individuals, American Indian or Alaska native individuals, Asian individuals, those with higher educational attainment and those with serious psychological distress had lower odds of being very satisfied with providers' efforts to address the impact of ACEs, relative to their counterparts. CONCLUSIONS: Efforts to expand ACEs screening should consider the disparities in screening that currently exist. Given the wide-ranging impacts that ACEs have on health, an equitable approach to screening is necessary.

Does universal insurance influence disparities in high-quality hospital use for inpatient pediatric congenital heart defect care within the first year of diagnosis?

BACKGROUND: Healthcare disparities are an issue in the management of Congenital Heart Defects (CHD) in children. Although universal insurance may mitigate racial or socioeconomic status (SES) disparities in CHD care, prior studies have not examined these effects in the use of High-Quality Hospitals (HQH) for inpatient pediatric CHD care in the Military Healthcare System (MHS). To assess for racial and SES disparities in inpatient pediatric CHD care that may persist despite universal insurance coverage, we performed a cross-sectional study of the HQH use for children treated for CHD in the TRICARE system, a universal healthcare system for the U.S. Department of Defense. In the present work we evaluated for the presence of disparities, like those seen in the civilian U.S. healthcare system, among military ranks (SES surrogate) and races and ethnicities in HQH use for pediatric inpatient admissions for CHD care within a universal healthcare system (MHS). METHODS: We conducted a cross-sectional study using claims data from the U.S. MHS Data Repository from 2016 to 2020. We identified 11,748 beneficiaries aged 0 to 17 years who had an inpatient admission for CHD care from 2016 to 2020. The outcome variable was a dichotomous indicator for HQH utilization. In the sample, 42 hospitals were designated as HQH. Of the population, 82.9% did not use an HQH at any point for CHD care and 17.1% used an HQH at some point for CHD care. The primary predictor variables were race and sponsor rank. Military rank has been used as an indicator of SES status. Patient demographic information at the time of index admission post initial CHD diagnosis (age, gender, sponsor marital status, insurance type, sponsor service branch, proximity to HQH based on patient zip code centroid, and provider region) and clinical information (complexity of CHD, common comorbid conditions, genetic syndromes, and prematurity) were used as covariates in multivariable logistic regression analysis. RESULTS: After controlling for demographic and clinical factors including age, gender, sponsor marital status, insurance type, sponsor service branch, proximity to HQH based on patient zip code centroid, provider region, complexity of CHD, common comorbid conditions, genetic syndromes, and prematurity, we did not find disparities in HQH use for inpatient pediatric CHD care based upon military rank. After controlling for demographic and clinical factors, lower SES (Other rank) was less likely to use an HQH for inpatient pediatric CHD care; OR of 0.47 (95% CI of 0.31 to 0.73). CONCLUSIONS: We found that for inpatient pediatric CHD care in the universally insured TRICARE system, historically reported racial disparities in care were mitigated, suggesting that this population benefitted from expanded access to care. Despite universal coverage, SES disparities persisted in the civilian care setting, suggesting that universal insurance alone cannot sufficiently address differences in SES disparities in CHD care. Future studies are needed to address the pervasiveness of SES disparities and potential interventions to mitigate these disparities such as a more comprehensive patient travel program.

Easy to use and validated predictive models to identify beneficiaries experiencing homelessness in Medicaid administrative data.

OBJECTIVE: To develop easy to use and validated predictive models to identify beneficiaries experiencing homelessness from administrative data. DATA SOURCES: We pooled enrollment and claims data from enrollees of the California Whole Person Care (WPC) Medicaid demonstration program that coordinated the care of a subset of Medicaid beneficiaries identified as high utilizers in 26 California counties (25 WPC Pilots). We also used public directories of social service and health care facilities. STUDY DESIGN: Using WPC Pilot-reported homelessness status, we trained seven supervised learning algorithms with different specifications to identify beneficiaries experiencing homelessness. The list of predictors included address- and claims-based indicators, demographics, health status, health care utilization, and county-level homelessness rate. We then assessed model performance using measures of balanced accuracy (BA), sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (area under the curve [AUC]). DATA COLLECTION/EXTRACTION METHODS: We included 93,656 WPC enrollees from 2017 to 2018, 37,441 of whom had a WPC Pilot-reported homelessness indicator. PRINCIPAL FINDINGS: The random forest algorithm with all available indicators had the best performance (87% BA and 0.95 AUC), but a simpler Generalized Linear Model (GLM) also performed well (74% BA and 0.83 AUC). Reducing predictors to the top 20 and top five most important indicators in a GLM model yields only slightly lower performance (86% BA and 0.94 AUC for the top 20 and 86% BA and 0.91 AUC for the top five). CONCLUSIONS: Large samples can be used to accurately predict homelessness in Medicaid administrative data if a validated homelessness indicator for a small subset can be obtained. In the absence of a validated indicator, the likelihood of homelessness can be calculated using county rate of homelessness, address- and claim-based indicators, and beneficiary age using a prediction model presented here. These approaches are needed given the rising prevalence of homelessness and the focus of Medicaid and other payers on addressing homelessness and its outcomes.

Quality of healthcare and admission rates for acute cardiac events during COVID-19 pandemic: a retrospective cohort study on ST-segment-elevation myocardial infarction in China.

OBJECTIVE: To evaluate changes in admission rates for and quality of healthcare of ST-segment-elevation myocardial infarction (STEMI) during the period of the COVID-19 outbreak and postoutbreak. METHODS: We conducted a retrospective study among patients with STEMI in the outbreak time and the postoutbreak time. DESIGN: To examine the changes in the admission rates and in quality of healthcare, by comparison between periods of the postoutbreak and the outbreak, and between the postoutbreak and the corresponding periods. SETTING: Data for this analysis were included from patients discharge diagnosed with STEMI from all the hospitals of Suzhou in each month of the year until the end of July 2020. PARTICIPANTS: 1965 STEMI admissions. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was the number of moecondary outcomnthly STEMI admissions, and the secondary outcomes were the quality metrics of STEMI healthcare. RESULTS: There were a 53% and 38% fall in daily admissions at the phase of outbreak and postoutbreak, compared with the 2019 corresponding. There remained a gap in actual number of postoutbreak admissions at 306 and the predicted number at 497, an estimated 26 deaths due to STEMI would have been caused by not seeking healthcare. Postoutbreak period of 2020 compared with corresponding period of 2019, the percentage of cases transferred by ambulance decreased from 9.3% to 4.2% (p=0.013), the door-to-balloon median time increased from 17.5 to 34.0 min (p=0.001) and the rate of percutaneous coronary intervention (PCI) therapy declined from 71.3% to 60.1% (p=0.002). CONCLUSIONS: The impact of public health restrictions may lead to unexpected out-of-hospital deaths and compromised quality of healthcare for acute cardiac events. Delay or absence in patients should be continuously considered avoiding the secondary disaster of the pandemic. System delay should be modifiable for reversing the worst clinical outcomes from the COVID-19 outbreak, by coordination measures with focus on the balance between timely PCI procedure and minimising contamination of cardiac catheterisation rooms.

Disparities in cardiovascular disease prevalence among middle-aged and older adults: Roles of socioeconomic position, social connection, and behavioral and physiological risk factors.

Introduction: Cardiovascular disease (CVD) remains the leading cause of premature death globally and a major contributor to decreasing quality of life. In the present study, we investigated the contribution of social, behavioral, and physiological determinants of CVD and their different patterns among middle-aged and older adults. Methods: We used harmonized data from 6 nationally representative individual-level longitudinal studies across 25 countries. We restricted the age to ≥50 years and defined cases as a self-reported history of CVD. The exposure variables were the demographic status (age and sex), socioeconomic position (education level, employment, and household income level), social connections (marital status and family size), behavioral factors (smoking, alcohol drinking, and frequency of moderate to vigorous physical activity), and physiological risk factors (obesity, presence of hypertension, and presence of diabetes). Mixed logistic regression models were fitted to investigate the associations, and dominance analysis was conducted to examine the relative contributions. Results: In total, 413,203 observations were included in the final analysis, with the CVD prevalence ranging from 10.4% in Mexico to 28.8% in the United States. Physiological risk factors were the main driver of CVD prevalence with the highest dominance proportion, which was higher in developing countries (China, 57.5%; Mexico, 72.8%) than in developed regions (United States, England, 10 European countries, and South Korea). Socioeconomic position and behavioral factors also highly contributed but were less significant in developing countries than in developed regions. The relative contribution of socioeconomic position ranged from 9.4% in Mexico to 23.4% in the United States, and that of behavioral factors ranged from 5.7% in Mexico to 26.1% in England. Conclusion: The present study demonstrated the different patterns of determinant contributions to CVD prevalence across developing and developed countries. With the challenges produced by different risk factors, the implementation of tailored prevention and control strategies will likely narrow disparities in the CVD prevalence by promoting health management and enhancing the capacity of health systems across different countries.

The association between educational attainment and longevity using individual-level data from the 1940 census.

We combine individual data from the 1940 full-count census with death records and other information available on the Family Tree at familysearch.org to create the largest individual dataset to date (17 million) to study the association between years of schooling and age at death. Conditional on surviving to age 35, one additional year of education is associated with roughly 0.4 more years of life for both men and women for cohorts born 1906-1915 and smaller for earlier cohorts. Focusing on the 1906-1915 cohort we find that this association is identical when we use sibling or twin fixed effects. This association varies substantially by place of birth. For men, the association is stronger in places with greater incomes, higher quality of school, and larger investments in public health. Women also exhibit great heterogeneity in the association, but our measures of the childhood environment do not explain it.

Reductions in NO2 and emergency room visits associated with California's goods movement policies: A quasi-experimental study.

INTRODUCTION: This study examines whether the "Emission Reduction Plan for Ports and Goods Movement" in California reduced air pollution exposures and emergency room visits among California Medicaid enrollees with asthma and/or chronic obstructive pulmonary disease. METHOD: We created a retrospective cohort of 5608 Medicaid enrollees from ten counties in California with data from 2004 to 2010. We grouped the patients into two groups: those living within 500 m of goods movement corridors (ports and truck-permitted freeways), and control areas (away from the busy truck or car permitted highways). We created annual air pollution surfaces for nitrogen dioxide and assigned them to enrollees' home addresses. We used a quasi-experimental design with a difference-in-differences method to examine changes before and after the policy for cohort beneficiaries in the two groups. RESULTS: The reductions in nitrogen dioxide exposures and emergency room visits were greater for enrollees in goods movement corridors than those in control areas in post-policy years. We found that the goods movement actions were associated with 14.8% (95% CI, -24.0% to -4.4%; P = 0.006) and 11.8% (95% CI, -21.2% to -1.2%; P = 0.030) greater reduction in emergency room visits for the beneficiaries with asthma and chronic obstructive pulmonary disease, respectively, in the third year after California's emission reduction plan. CONCLUSION: These findings indicate remarkable health benefits via reduced emergency room visits from the significantly improved air quality due to public policy interventions for disadvantaged and susceptible populations.

Estimating a Model for Mental Healthcare Utilization Using Subjective Unmet Need and Psychological Distress Measures.

The objective of this study is to assess the predictive value of self-reported need and psychological distress in mental healthcare service use across racial and ethnic groups in California. Using 2014-2018 data for adults aged 18-64 in the California Health Interview Survey, both logistic and Poisson regression models are used to estimate mental healthcare utilization. Patient-reported outcome measures, such as psychological distress, are commonly used to evaluate healthcare utilization patterns. The Kessler-6 screener for psychological distress is frequently used as a tool for determining whether someone's level of distress necessitates evaluation by a mental healthcare professional. Serious psychological distress has been widely studied as a predictor of higher healthcare expenditures and use; however, moderate distress and self-reported need has been less examined in the literature. Seventy-two percent of individuals with moderate psychological distress felt like they needed to see a professional for their mental or emotional needs compared to 4% of individuals with serious psychological distress. Individuals with moderate psychological distress had 34% of all healthcare visits for mental or emotional needs during the study period, compared to 17% for those with serious psychological distress. Subjective unmet need for mental healthcare was reported by 77% of those who utilized mental healthcare during the study period. Studying subjective unmet need, in addition to moderate and serious distress, provides additional understanding of the need for mental healthcare and mental healthcare utilization.

Differential associations of homelessness with emergency department visits and hospitalizations by race, ethnicity, and gender.

OBJECTIVE: To investigate the differential associations of homelessness with emergency department (ED) visits and hospitalizations by race, ethnicity, and gender. DATA SOURCES: California Medicaid enrollment and claims. STUDY DESIGN: We identified beneficiaries experiencing homelessness (BEH) and those who did not (NBEH) using diagnosis and place of service codes and residential addresses. Outcomes include four ED visit measures and four hospitalization measures. We compared the use of these services by BEH to NBEH overall and by race, ethnicity, and gender groups in regression models controlling for covariates. DATA COLLECTION: We used a sample of Medicaid beneficiaries who met eligibility criteria for a California Medicaid demonstration program in 2017 and 2018 but were not enrolled in the program. We identified 473,069 BEH, and the rest (1,948,422) were considered NBEH. We used the 2018 data for utilization analyses and most covariates. We constructed lagged measures of health conditions using 2017 data. PRINCIPAL FINDINGS: We found that homelessness was significantly associated with 0.34 more ED visits (p < 0.01) and a higher likelihood of frequent ED visits (2.77 percentage points [pp], p < 0.01), any ED visits due to mental health conditions (0.79 pp, p < 0.01), and any ED visits due to substance use disorders (1.47 pp, p < 0.01). Experiencing homelessness was also significantly associated with 0.03 more hospitalizations (p < 0.01), a higher likelihood of frequent hospitalizations (0.68 pp, p < 0.01) and high frequent hospitalizations (0.28 pp, p < 0.01), and a longer length of stay (0.53 days, p < 0.01). We found a larger association for American Indian and Alaska Native, Black, Native Hawaii or Pacific Islander, and White populations than that for Asian and Hispanic populations. The associations are larger for males than females. CONCLUSIONS: Our findings identified distinct utilization patterns by race, ethnicity, and gender. They indicated the need for developing race, ethnicity, and gender-specific strategies to reduce ED visits and hospitalizations of BEH.

Relationships between enabling services use and access to care among adults with cardiometabolic risk factors: findings from the 2014 National Health Center Patient Survey.

BACKGROUND: Community health centers (CHCs) provide comprehensive primary and preventive care to medically underserved, low-income, and racially/ethnically diverse populations. CHCs also offer enabling services, non-clinical assistance to reduce barriers to healthcare due to unmet social and material needs, to improve access to healthcare and reduce health disparities. For patients with modifiable cardiometabolic risk factors, including obesity, hypertension, and diabetes, enabling services may provide additional support to improve disease management. However, little is known about the relationship between enabling services and healthcare accessibility and utilization among patients with cardiometabolic risk factors. METHODS: This study uses data from the 2014 Health Center Patient Survey to examine the relationship between enabling services use and delayed/foregone care, routine check-ups, and emergency room visits, among adult community health center patients in the United States with cardiometabolic risk factors (N = 2358). Outcomes of enabling services users were compared to nonusers using doubly robust propensity score matching methods and generalized linear regression models. RESULTS: Overall, enabling service users were 15.4 percentage points less likely to report delayed/foregone care and 29.4 percentage points more likely to report routine check-ups than nonusers. Enabling service users who lived in urban areas, younger and middle-aged adults, and those with two cardiometabolic risk factors were also less likely to report delayed/foregone care and/or more likely to report routine check-ups in comparison with nonusers. However, among adults with three or more cardiometabolic risk factors, enabling services use was associated with a 41.3 percentage point increase in emergency room visits and a 7.6 percentage point decrease in routine check-ups. CONCLUSIONS: The findings highlight the value in utilizing enabling services to improve timeliness and receipt of care among CHC patients with heightened cardiometabolic risk. There is a need for targeting high-risk populations with additional enabling services to support management of multiple chronic conditions.

Reductions in under-5 mortality and public health improvements of the China Healthy Cities (Counties) initiative: a nationwide quasi-experimental study.

INTRODUCTION: The China Healthy Cities (Counties) public health initiative has been at the forefront of China's efforts to counteract the growing challenges in the urban environment since the 1990s. It primarily focuses on improving the urban living environment. However, the nationwide health impacts of the initiative remain unexplored. METHODS: We constructed nationwide county-level and city-level panel data from 1996 to 2012 using data on under-5 mortality rates (U5MR), the list of China healthy cities and counties and socioeconomic factors. We used a two-step staggered difference-in-differences approach that exploits variations in the timing of achieving the title of China Healthy City/County. Subgroup analyses by region were performed. RESULTS: We included 707 cities in the China Healthy Cities study, and 1631 counties in the China Healthy Counties study. Our results indicate substantial and significant reductions in U5MR associated with the public health initiative in China. The association varies across regions with different socioeconomic statuses. China Healthy Cities were significantly associated with a reduction of 0.7/1000 (95% CI -1.2 to -0.2) in under-5 mortality 5 years after cities gained the title and a decrease of 1.4/1000 (95% CI -2.2 to -0.6) 10 years afterward. Cities from western China saw the largest statistically significant gains with 3.2/1000 and 7.2/1000 reductions in child mortality after 5 and 10 years, respectively. China Healthy Counties were also associated with significant reductions in under-5 mortality 8 years after achieving the title; it was associated with 2.6/1000 reductions in under-5 mortality nationwide and 3.8/1000 reductions in eastern China. Our results are robust to heterogeneous treatment effects across cities/counties over time and various model specifications. CONCLUSION: Our results suggest significant reductions in under-5 mortality associated with this public health intervention focusing on living environment conditions. Future research could explore differential effects across regions and clarify the underlying causal mechanisms.

The effect of China's Clean Air Act on cognitive function in older adults: a population-based, quasi-experimental study.

BACKGROUND: Air pollution might accelerate cognitive ageing; it is unclear whether large-scale interventions, such as China's Clean Air Act (CCAA), can mitigate cognitive deterioration. We aimed to evaluate the effect of CCAA on changes in cognitive function in older adults. METHODS: In this population-based, quasi-experimental study, we did a difference-in-differences analysis of the data collected during the 2014 and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). The study design used a counterfactual analysis feature by dividing CLHLS participants into two groups. The intervention group included participants who lived in areas where the provincial government set a target of reducing particulate matter (PM) by at least 5% annually from 2014 onward, whereas the control group consisted of individuals who lived in areas without a PM reduction target. Global cognitive function was measured using the Mini-Mental State Examination (MMSE). We used fixed-effects models to examine the between-group differences in MMSE score changes before and after CCAA implementation. We associated longitudinal changes in MMSE scores with changes in concentrations of PM with a diameter of less than 2·5 µm (PM2·5) concentration and other regulated pollutants. We used alternative models and sensitivity analyses to evaluate the robustness of the results from the main models. FINDINGS: 2812 individuals participated in the 2014 and 2018 surveys (mean age 81·0 years [SD 9·3] in 2014; 1408 [50·1%] female and 1404 [49·9%] male). 2251 (80·0%) were included in the intervention group and 561 (20·0%) in the control group. After controlling for potential confounders, the intervention group had a significantly smaller decline in MMSE scores from 2014 to 2018 compared with the control group: the mean between-group difference was 2·45 points (95% CI 1·32-3·57). Interquartile increases in PM2·5 were associated with a significant MMSE score decline of 0·83 points (95% CI 0·24-1·42); similarly, increases in SO2 were also associated with a significant MMSE score decline of 0·80 points (0·32-1·29). INTERPRETATION: Implementing stringent clean air policies might mitigate the risk of air pollutant-associated cognitive ageing in older people. FUNDING: National Natural Sciences Foundation of China, National Key R&D Program of China, China Postdoctoral Science Foundation funded project, the Duke/Duke-National University of Singapore Collaboration Pilot Project, the National Institute on Aging and Peking University-Baidu Fund, Energy Foundation, and the Fundamental Research Funds for the Central Universities.

Housing Insecurity Among Latinxs.

Latinxs are vulnerable to experiencing housing insecurity and less likely to receive public benefits, such as health insurance, which can impact a household's economic resources. We inform homelessness prevention by examining the association of social risks and healthcare access with housing insecurity for Latinxs. Our sample consisted of 120,362 participants under the age of 65, of which 17.3% were Latinx. Weighted chi-squared tests and logistic regression were used to examine predictors of housing insecurity. Housing insecurity was measured as worry about paying for housing. Latinxs were almost twice as likely as non-Latinxs to worry about paying for housing. Excellent/fair health status, health service use, and having health insurance decreased the likelihood of housing insecurity for Latinxs. Access to health insurance, regardless of citizenship status, and use of preventative healthcare to maintain good health can be protective against housing insecurity.

The relationship between educational attainment and hospitalizations among middle-aged and older adults in the United States.

BACKGROUND: There has been little research on the relationship between education and healthcare utilization, especially for racial/ethnic minorities. This study aimed to examine the association between education and hospitalizations, investigate the mechanisms, and disaggregate the relationship by gender, race/ethnicity, and age groups. METHODS: A retrospective cohort analysis was conducted using data from the 1992-2016 US Health and Retirement Study. The analytic sample consists of 35,451 respondents with 215,724 person-year observations. We employed a linear probability model with standard errors clustered at the respondent level and accounted for attrition bias using an inverse probability weighting approach. RESULTS: On average, compared to having an education less than high school, having a college degree or above was significantly associated with an 8.37 pp (95% CI, -9.79 pp to -7.95 pp) lower probability of being hospitalized, and having education of high school or some college was related to 3.35 pp (95% CI, -4.57 pp to -2.14 pp) lower probability. The association slightly attenuated after controlling for income but dramatically reduced once holding health conditions constant. Specifically, given the same health status and childhood environment conditions, compared to those with less than high school degree, college graduates saw a 1.79 pp (95% CI, -3.16 pp to -0.42 pp) lower chance of being hospitalized, but the association for high school graduates became indistinguishable from zero. Additionally, the association was larger for females, whites, and those younger than 78. The association was statistically significantly smaller for black college graduates than their white counterparts, even when health status is held constant. CONCLUSIONS: Educational attainment is a strong predictor of hospitalizations for middle-aged and older US adults. Health mediates most of the education-hospitalization gradients. The heterogeneous results across age, gender, race, and ethnicity groups should inform further research on health disparities.

Booms and Busts in Housing Market and Health Outcomes for Older Americans.

BACKGROUND AND OBJECTIVES: The US housing market has experienced considerable fluctuations over the last decades. This study aimed to investigate the impacts of housing price dynamics on physical health, mental health, and health-related behaviors for older American outright owners, mortgaged owners, and renters. RESEARCH DESIGN AND METHODS: We drew longitudinal data from the 1992-2016 Health and Retirement Study and merged it to the 5-digit zip code-level Housing Price Index. The analytic sample comprised 34 182 persons and 174 759 person-year observations. We used a fixed-effects model to identify the health impacts of housing price dynamics separately for outright owners, mortgaged owners, and renters. RESULTS: A 100% increase in Housing Price Index was associated with a 2.81 and 3.50 percentage points (pp) increase in the probability of reporting excellent/very good/good health status for mortgage owners and renters, respectively. It was also related to a lower likelihood of obesity (1.82 pp) for outright owners and a lesser chance of obesity (2.85 pp) and smoking (3.03 pp) for renters. All of these relationships were statistically significant (p < .05). Renters also experienced significantly decreased depression scores (-0.24), measured by the Center for Epidemiologic Studies-Depression scale, associated with the same housing price changes. DISCUSSION AND IMPLICATIONS: Housing price dynamics have significant health impacts, and renters are more sensitive to fluctuations in the housing market. Our study rules out the wealth effect as the mechanism through which changes in housing prices affect older adults' health. Our findings may inform policies to promote older adults' health by investing in local area amenities and improving socioeconomic conditions.

A stepped wedge cluster randomized control trial to evaluate the implementation and effectiveness of optimized initiatives in improving quality of care for ST segment elevation myocardial infarction in response to the COVID-19 outbreak.

BACKGROUND: The National Chest Pain Center Accreditation Program (CHANGE) is the first hospital-based, multifaceted, nationwide quality improvement (QI) initiative, to monitor and improve the quality of the ST segment elevation myocardial infarction (STEMI) care in China. The QI initiatives, as implementation strategies, include a bundle of evidence-based interventions adapted for implementation in China. During the pandemic of coronavirus disease 2019 (COVID-19), fear of infection with severe acute respiratory syndrome coronavirus 2, national lockdowns, and altered health care priorities have highlighted the program's importance in improving STEMI care quality. This study aims to minimize the adverse impact of the COVID-19 pandemic on the quality of STEMI care, by developing interventions that optimize the QI initiatives, implementing and evaluating the optimized QI initiatives, and developing scale-up activities of the optimized QI initiatives in response to COVID-19 and other public health emergencies. METHODS: A stepped wedge cluster randomized control trial will be conducted in three selected cities of China: Wuhan, Suzhou, and Shenzhen. Two districts have been randomly selected in each city, yielding a total of 24 registered hospitals. This study will conduct a rollout in these hospitals every 3 months. The 24 hospitals will be randomly assigned to four clusters, and each cluster will commence the intervention (optimized QI initiatives) at one of the four steps. We will conduct hospital-based assessments, questionnaire surveys among health care providers, community-based household surveys, and key informant interviews during the trial. All outcome measures will be organized using the RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework, including implementation outcomes, service outcomes (e.g., treatment time), and patient outcomes (e.g., in-hospital mortality and 1-year complication). The Consolidated Framework for Implementation Research framework will be used to identify factors that influence implementation of the optimized QI interventions. DISCUSSION: The study findings could be translated into a systematic solution to implementing QI initiatives in response to COVID-19 and future potential major public health emergencies. Such actionable knowledge is critical for implementors of scale-up activities in low- and middle-income settings. TRIAL REGISTRATION: ChiCTR 2100043319 . Registered on 10 February 2021.

Failure to recognize Low non-treponemal titer syphilis infections in pregnancy May lead to widespread under-treatment.

OBJECTIVES: Rates of maternal syphilis have increased five-fold in Brazil in the past decade. While penicillin remains the only appropriate treatment for maternal syphilis, we hypothesized that low non-treponemal titers (<1:16) may lead to reduced penicillin treatment in Brazil. METHODS: Using Brazilian Ministry of Health data on women diagnosed with maternal syphilis between January 1, 2010, and December 31, 2018, we conducted a random-effects logistic regression model with a cluster correction at the state level to evaluate predictive factors of penicillin treatment. RESULTS: We observed yearly increases in cases of pregnant women with syphilis from 2010 to 2018. There was significant variation by state: 52,451 cases were reported in São Paulo, followed by 26,838 in Rio de Janeiro. Among 215,937 cases of maternal syphilis, 91·3% received penicillin. In the random-effects model, a non-treponemal titer ≥1:16 was associated with 1·44 higher odds of receiving penicillin (95% confidence interval [CI]: 1·391·48), and prenatal care was associated with a 2·12 increased odds of receiving penicillin (95% CI: 2·022·21). Although there is an association between the absence of prenatal care and inadequate treatment for syphilis, 83·2% of women in this cohort who did not receive penicillin were engaged in prenatal care. CONCLUSIONS: Providers may inappropriately exclude low non-treponemal titers and thereby fail to use penicillin treatment in maternal syphilis. While the cause of the maternal syphilis epidemic in Brazil is multifactorial, we believe our findings can be used to develop targeted interventions throughout Brazil as well as shape public health initiatives globally.

Residential Proximity to Major Roadways and Prevalent Hypertension Among Older Women and Men: Results From the Chinese Longitudinal Healthy Longevity Survey.

Background and Objectives: Prior studies suggested that residential proximity to major roadways was associated with increased risks of cardiovascular diseases in developed countries, for which one explanation is that road proximity could heighten the risks of hypertension. However, the association of residential distance to major roadways with hypertension is still unclear in low- and middle-income countries (LMICs) with levels of air pollution and socioeconomic development distinctively different from developed countries. Methods: We derived data from the eighth wave of the Chinese Longitudinal Healthy Longevity Survey, a nationwide prospective cohort. The present study included 12,881 individuals older than 65 years (mean age, 85.2 ± 11.7 years) with 55.8% of them being female. We ascertained the residential proximity to major roadways based on self-reports and hypertension was defined as systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg. We then used logistic regression to examine the association between residential distance to major roadways and hypertension. Results: The odds ratios (ORs) of hypertension for participants living 50 to 100, 101 to 200, and ≥200 meters from major roads were 1.17 [95% confidence interval (95% CI) = 1.02-1.33], 1.21 (95% CI = 1.05-1.41), and 1.22 (95% CI = 1.10-1.34), respectively, compared to those living within 50 m (P for trend < 0.001). Significant effects of modifications from socioeconomic status and accessibility to health care resources were observed (Ps for interaction < 0.05). Compared to living within 50 m from a major roadway, the ORs of hypertension for living ≥50 m were higher in manual/agricultural workers, low-education groups, participants without household ventilation, and participants lacking in health education and health care resources. We observed considerable variations across geographic regions with the association in question attenuating in Eastern China but remaining significant in other regions. Conclusion: Residential proximity to major roadways was associated with lower odds of hypertension among older adults in China. The utility of residential proximity to major roadways as a marker of increased risks of hypertension and cardiovascular diseases may need to be revisited in LMICs.