Medicaid expansion, health insurance coverage, and cost barriers to care among low-income adults with asthma: the Adult Asthma Call-Back Survey

Medicaid Expansion and Health Care Use Among Adults With Asthma and Low Incomes: The Adult Asthma Call-Back Survey

OBJECTIVES

Asthma disproportionately affects Black people and people with low incomes, but Medicaid expansion (hereinafter, expansion) data on these populations are limited. We investigated health care use among adults with asthma, before and after expansion, and examined whether asthma-related health care use after expansion varied by demographic characteristics.

METHODS

We analyzed data from the 2011-2013 and 2015-2019 Behavioral Risk Factor Surveillance System Adult Asthma Call-Back Survey on participants aged 18-64 years with current asthma and low incomes in 23 US states. We assessed 5 asthma-related outcomes, including medical visits (routine and emergency) and medication use, for expansion and nonexpansion groups. We used t tests to compare weighted percentages and 95% CIs, then performed adjusted difference-in-differences analyses. Secondary analyses stratified data by race, ethnicity, and sex.

RESULTS

Primary analyses (N = 10 796) found no significant associations between expansion and any outcome. Analyses stratified by race and ethnicity found no significant changes (eg, asthma controller medication use among non-Hispanic Black participants in the expansion group was 24.1% [95% CI, 14.4%-37.5%] in 2011-2013 and 35.5% [95% CI, 27.0%-45.1%] in 2015-2019; P = .13). Use of asthma controller medication increased significantly among non-Hispanic Other participants in the nonexpansion group (2011-2013: 16.0% [95% CI, 9.5%-25.5%]; 2015-2019: 40.2% [95% CI, 25.5%-56.8%]; P = .01). Asthma-related hospitalizations decreased significantly among women in the expansion group: 2011-2013 (7.8%; 95% CI, 5.3%-11.3%) and 2015-2019 (3.5%; 95% CI, 2.5%-4.9%) (P = .009).

CONCLUSIONS

Investigating factors other than health insurance (eg, social determinants of health) that influence the use of asthma-related health care could advance knowledge of potential strategies to advance health equity for adults with asthma and lower incomes.

Factors Affecting Adherence in Allergic Disorders and Strategies for Improvement

Addressing patient adherence is a key element in ensuring positive health outcomes and improving health-related quality of life for patients with atopic and immunologic disorders. Understanding the complex etiologies of patient nonadherence and identifying real-world solutions is important for clinicians, patients, and systems to design and effect change. This review serves as an important resource for defining key issues related to patient nonadherence and outlines solutions, resources, knowledge gaps, and advocacy areas across five domains: health care access, financial considerations, socioenvironmental factors, health literacy, and psychosocial factors. To allow for more easily digestible and usable content, we describe solutions based on three macrolevels of focus: patient, clinician, and system. This review and interactive tool kit serve as an educational resource and call to action to improve equitable distribution of resources, institutional policies, patient-centered care, and practice guidelines for improving health outcomes for all patients with atopic and immunologic disorders.

Pharmacoequity in Allergy-Immunology: Disparities in Access to Medications for Allergic Diseases and Proposed Solutions in the United States and Globally

Pharmacoequity is the principle that individuals should have access to high-quality medications regardless of race and ethnicity, socioeconomic status, or availability of resources. In this review, we summarize access to therapeutics for allergic diseases in the United States and other selected countries. We focus on domains of health care access (health insurance coverage, medication availability, and specialist access) as well as system-level factors and clinician- and patient-level factors such as interpersonal racism and cultural beliefs, and how they can affect timely access to appropriate therapy for allergic diseases. Finally, we propose how pharmacoequity in allergy-immunology can be achieved by highlighting solutions to factors limiting access to medications for allergic diseases, and identify potential future research directions.

Socioeconomic and environmental determinants of asthma prevalence: a cross-sectional study at the U.S. County level using geographically weighted random forests

BACKGROUND

Some studies have established associations between the prevalence of new-onset asthma and asthma exacerbation and socioeconomic and environmental determinants. However, research remains limited concerning the shape of these associations, the importance of the risk factors, and how these factors vary geographically.

OBJECTIVE

We aimed (1) to examine ecological associations between asthma prevalence and multiple socio-physical determinants in the United States; and (2) to assess geographic variations in their relative importance.

METHODS

Our study design is cross sectional based on county-level data for 2020 across the United States. We obtained self-reported asthma prevalence data of adults aged 18 years or older for each county. We applied conventional and geographically weighted random forest (GWRF) to investigate the associations between asthma prevalence and socioeconomic (e.g., poverty) and environmental determinants (e.g., air pollution and green space). To enhance the interpretability of the GWRF, we (1) assessed the shape of the associations through partial dependence plots, (2) ranked the determinants according to their global importance scores, and (3) mapped the local variable importance spatially.

RESULTS

Of the 3059 counties, the average asthma prevalence was 9.9 (standard deviation ± 0.99). The GWRF outperformed the conventional random forest. We found an indication, for example, that temperature was inversely associated with asthma prevalence, while poverty showed positive associations. The partial dependence plots showed that these associations had a non-linear shape. Ranking the socio-physical environmental factors concerning their global importance showed that smoking prevalence and depression prevalence were most relevant, while green space and limited language were of minor relevance. The local variable importance measures showed striking geographical differences.

CONCLUSION

Our findings strengthen the evidence that socio-physical environments play a role in explaining asthma prevalence, but their relevance seems to vary geographically. The results are vital for implementing future asthma prevention programs that should be tailor-made for specific areas.