Objective: To evaluate the association of state-level lack of health insurance among women of reproductive age with variation in state low birth weight (LBW) rates.
Study Design: This cross-section study analyzes data from the 2016-2019 Pregnancy Risk Assessment Monitoring Survey for respondents with singleton, live births.
Methods: Respondents were divided into groups by state-level percent of uninsured women aged 19-44 years. Poisson regression was used to model the association between state percent uninsured and likelihood of LBW, controlling for individual sociodemographic and clinical risk factors. Sensitivity analyses were done for Medicaid and non-Hispanic Black subpopulations and alternative state characteristics, including Gini coefficients, total and public welfare expenditures, and state reproductive rights rankings.
Results: In adjusted multiple regression analyses, compared to respondents from states with <7% uninsured, respondents from states with 7% or more uninsured had an increased risk of LBW status (7-8.99% uninsured: adjusted incidence rate ratio [aIRR] 1.11, 95% confidence interval [CI] 1.04-1.18; 9-11.99% uninsured: aIRR 1.09, 95% CI 1.02-1.17; >11.99% uninsured: aIRR 1.15, 95% CI 1.08-1.22). However, there was no evident dose-response gradient. Sensitivity analyses produced virtually identical findings for subpopulations, and no other state characteristics were significant.
Conclusion: States with the highest level of insurance coverage had a significantly lower LBW rate than other states. However, there was little evidence for greater odds of LBW with the highest levels of uninsured. Individual risk factors dominated LBW models, while state differences in income inequality, reproductive health policy, and per capita spending explained little of the variance in LBW.
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http://dx.doi.org/10.1016/j.puhe.2023.10.005 | DOI Listing |
AIMS Public Health
December 2024
Division of Otolaryngology - Head & Neck Surgery, Cooper University Health Care, Camden, NJ, USA.
Background: Underinsured patients with advanced head and neck cancer experience worse outcomes compared to their well-insured peers.
Methods: Retrospective logistic regression analysis testing associations between demographic, geospatial, transportation, disease, and treatment factors in 50 government insured or uninsured patients receiving curative-intent, multidisciplinary cancer care.
Results: Forty percent of patients missed at least one treatment or surveillance appointment within the first year.
Health Serv Res
January 2025
Division of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA.
Objective: To characterize health insurance gap patterns related to age-19 Medicaid and age-26 commercial age-eligibility cutoffs.
Study Setting And Design: This descriptive analysis spans 2014-2018, after Affordable Care Act implementation, but before COVID-19 emergency provisions. We defined insurance gaps as ≥3 consecutive months without observed enrollment, preceded and followed by ≥1 month of enrollment and stratified results by insurance source and clinical severity (e.
Cancer Causes Control
January 2025
Department of Health Policy and Management, Winship Cancer Center, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30030, USA.
Purpose: The National Breast and Cervical Cancer Early Detection Program (NBCCEDP) provides access to timely breast and cervical cancer screening and diagnostic services to women who have low incomes and are uninsured or underinsured. Documenting the number of women eligible and the proportion of eligible women who receive NBCCEDP-funded services is important for identifying opportunities to increase screening and diagnostic services among those who would not otherwise have access.
Methods: Using the Census Bureau's Small Area Health Insurance Estimates data, we estimated the number of women who met the NBCCEDP eligibility criteria based on age, income, and insurance status.
Vaccine
January 2025
Immunization Services Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Objectives: To characterize the proportion of Medicaid-eligible infants experiencing gaps in Medicaid coverage during early infancy and to determine whether infants without Medicaid coverage were covered by other plans or not at all.
Study Design: Infants with Medicaid-financed births from three states participating in the 2016-2020 Pregnancy Risk Assessment Monitoring System (PRAMS) were included (N=3,658). Infant insurance coverage (Medicaid, non-Medicaid, none) was assessed at the time of the PRAMS survey, typically around four months of age.
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