Changes in Health Care Access and Utilization for Low-SES Adults Aged 51-64 Years After Medicaid Expansion

Social Determinants of Health and Pediatric Emergency Department Outcomes: A Systematic Review and Meta-Analysis of Observational Studies

STUDY OBJECTIVE

Social determinants of health contribute to disparities in pediatric health and health care. Our objective was to synthesize and evaluate the evidence on the association between social determinants of health and emergency department (ED) outcomes in pediatric populations.

METHODS

This review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Equity Extension guidelines. Observational epidemiological studies were included if they examined at least 1 social determinant of health from the PROGRESS-Plus framework in relation to ED outcomes among children <18 years old. Effect direction plots were used for narrative results and pooled odds ratios (pOR) with 95% confidence intervals (CI) for meta-analyses.

RESULTS

Fifty-eight studies were included, involving 17,275,090 children and 103,296,839 ED visits. Race/ethnicity and socioeconomic status were the most reported social determinants of health (71% each). Black children had 3 times the odds of utilizing the ED (pOR 3.16, 95% CI 2.46 to 4.08), whereas visits by Indigenous children increased the odds of departure prior to completion of care (pOR 1.58, 95% CI 1.39 to 1.80) compared to White children. Public insurance, low income, neighborhood deprivation, and proximity to an ED were also predictors of ED utilization. Children whose caregivers had a preferred language other than English had longer length of stay and increased hospital admission.

CONCLUSION

Social determinants of health, particularly race, socioeconomic deprivation, proximity to an ED, and language, play important roles in ED care-seeking patterns of children and families. Increased utilization of ED services by children from racial minority and lower socioeconomic status groups may reflect barriers to health insurance and access to health care, including primary and subspecialty care, and/or poorer overall health, necessitating ED care. An intersectional approach is needed to better understand the trajectories of disparities in pediatric ED outcomes and to develop, implement, and evaluate future policies.

Health Care Access and Cognitive Function in Older Adults: A Cross-Lagged Panel Longitudinal Analysis

Objective: The current longitudinal study examined how (1) cognitive measures, including episodic memory, executive function, and global cognition, predict later healthcare access and how (2) healthcare access predicts later cognition. Methods: Drawing a sample (n = 9920) from the Health and Retirement Study dataset, we created a cross-lagged panel model to examine the longitudinal association between cognitive measures and healthcare access from 2012 to 2018. Results: Results revealed that cognitive measures significantly predict later healthcare access, with effects increasing across waves. However, within sub-domains, memory was more predictive of later healthcare access over time compared to executive function. Discussions: Our study suggested an increased link between cognition and healthcare access during aging. Even outside of the context of AD, there are likely both policy-based and practical implications to ensure those experiencing cognitive decline continue to maintain access to care.

The relationship between individual-level socioeconomic status and preference for medical service in primary health institutions: a cross-sectional study in Jiangsu, China

Background

While China's primary health care (PHC) system covers all citizens, the use of medical services supplied by primary health institutions (PHIs) is not at ideal levels. This study explored the impact of socioeconomic status (SES) on residents' first choice of medical services provided by PHIs.

Methods

This community-based, cross-sectional study was conducted in Jiangsu Province, China, from October 2021 to March 2022. A custom-designed questionnaire was used to evaluate 4,257 adults, of whom 1,417 chose to visit a doctor when they were sick. Logistic regression was used to test the relationships among SES, other variables and the choice of medical services, and interaction effects were explored.

Results

A total of 1,417 subjects were included in this study (48.7% female; mean age 44.41 ± 17.1 years). The results showed that older age (p < 0.01), rural residence (p < 0.01), a preference for part-time medical experts in PHIs (p < 0.01), and lack of coverage by basic medical insurance (p < 0.05) were associated with the first choice to use PHIs. In the multiple logistic regression model, SES was not associated with the first choice of medical services supplied by PHIs (p > 0.05), but it interacted with three variables from the Commission on Social Determinants of Health Framework (material circumstances, behaviors and biological factors, and psychosocial factors).

Conclusion

Vulnerable individuals who are the target visitors to PHIs are older, live in rural areas, and suffer from chronic diseases. SES, as a single factor, did not impact whether medical services at PHIs were preferred, but it mediated relationships with other factors.

See, seek, support: a policy framework to uplift first-generation low-income medical professionals

The First-Generation and/or Low-Income (FGLI) identity is not readily visible, encapsulating those who are the first in their families to complete a 4-year college degree and/or those living near or below the poverty line. In the backdrop of unprecedented levels of socioeconomic inequality in a country where household income predicts educational attainment, we explore the current state of U.S. society regarding socioeconomic status and health care. We describe challenges in diversifying the health care workforce and present a multi-pronged policy approach for visibilizing, recruiting, supporting, and retaining FGLI trainees in medicine, with the promise of improving the quality of health care delivery altogether. Through this work, we aim to render the field of medicine more equitable for trainees, physicians, and patients alike.

Reinforcement learning evaluation of treatment policies for patients with hepatitis C virus

BACKGROUND

Evaluation of new treatment policies is often costly and challenging in complex conditions, such as hepatitis C virus (HCV) treatment, or in limited-resource settings. We sought to identify hypothetical policies for HCV treatment that could best balance the prevention of cirrhosis while preserving resources (financial or otherwise).

METHODS

The cohort consisted of 3792 HCV-infected patients without a history of cirrhosis or hepatocellular carcinoma at baseline from the national Veterans Health Administration from 2015 to 2019. To estimate the efficacy of hypothetical treatment policies, we utilized historical data and reinforcement learning to allow for greater flexibility when constructing new HCV treatment strategies. We tested and compared four new treatment policies: a simple stepwise policy based on Aspartate Aminotransferase to Platelet Ratio Index (APRI), a logistic regression based on APRI, a logistic regression on multiple longitudinal and demographic indicators that were prespecified for clinical significance, and a treatment policy based on a risk model developed for HCV infection.

RESULTS

The risk-based hypothetical treatment policy achieved the lowest overall risk with a score of 0.016 (90% CI 0.016, 0.019) while treating the most high-risk (346.4 ± 1.4) and the fewest low-risk (361.0 ± 20.1) patients. Compared to hypothetical treatment policies that treated approximately the same number of patients (1843.7 vs. 1914.4 patients), the risk-based policy had more untreated time per patient (7968.4 vs. 7742.9 patient visits), signaling cost reduction for the healthcare system.

CONCLUSIONS

Off-policy evaluation strategies are useful to evaluate hypothetical treatment policies without implementation. If a quality risk model is available, risk-based treatment strategies can reduce overall risk and prioritize patients while reducing healthcare system costs.

Effects of the 2014 Affordable Care Act Medicaid Expansions on Health Care Access and Health Status of Poor Adults Aged 60-64 Years: Evidence From the First 6 Years

BACKGROUND AND OBJECTIVES

Little is known on the effects of the Affordable Care Act (ACA) Medicaid expansions on health care access and health status of adults closest to 65. This study examines the effects of ACA Medicaid expansion on access and health status of poor adults aged 60-64 years.

RESEARCH DESIGN AND METHODS

The study employs a difference-in-differences design comparing states that expanded Medicaid in 2014 under the ACA and nonexpansion states over 6 years postexpansion. The data are from the 2011-2019 Behavioral Risk Factor Surveillance System for individuals aged 60-64 years below the Federal Poverty Level.

RESULTS

Having any health care coverage rate increased by 8.5 percentage points (p < .01), while the rate of forgoing a needed doctor's visit due to cost declined by 6.6 percentage points (p < .01). Similarly, rates of having a personal doctor/provider and completing a routine checkup increased by 9.1 (p < .01) and 4.8 (p < .1) percentage points, respectively. Moreover, days not in good physical health in the past 30 declined by 1.5 days (p < .05), with suggestive evidence for decline in days not in good mental health and improvement in self-rated health.

DISCUSSION AND IMPLICATIONS

The ACA Medicaid expansions have improved health care access and health status of poor adults aged 60-64 years. Expanding Medicaid in the states that have not yet done so would reduce barriers to care and address unmet health needs for this population. Bridging coverage for individuals aged 60-64 years by lowering Medicare eligibility age could have long-term effects on well-being and health services utilization.

Near Vision but not Hearing Loss is Associated with Lacking a Usual Source of Health Care

Objectives: Sensory loss may be a barrier to accessing healthcare services, and this study seeks to examine the association of sensory loss with whether older adults report having a usual source of health care. Methods: Our study included 7548 older adults who participated in the National Health and Aging Trends Study in 2015. Having a self-reported usual source of health care was our outcome, and hearing and vision loss were our primary independent variables. Results: In multivariate analysis accounting for demographics, socioeconomic, health status, and environmental covariates, near vision loss but not distance vision or hearing loss was associated with decreased odds of having a usual source of health care. Discussion: That older adults with near vision loss were less likely to report having a usual source of health care is concerning. Examining barriers to care is needed to identify sensory loss-relevant processes to optimize and intervene upon.