Objective: To examine changes in health insurance coverage when adults age out of dependent coverage at age 26 after the implementation of most Affordable Care Act (ACA) provisions. Our analysis also documented differences by sex, race and ethnicity, and state Medicaid expansion status.
Methods: We used a regression discontinuity design and the 2014-2019 American Community Survey to estimate coverage changes (uninsured, any private, employer-sponsored coverage, direct purchase, and Medicaid) at age 26. Our main sample consisted of adult citizens aged 22-29 years.
Results: Uninsurance increased by 2.7% points [95% CI; 1.8-3.4] at age 26, which was driven by a significant decline in any private insurance (3.7% point decrease). Young adults experienced a smaller increase in the uninsured rate on turning age 26 in states that expanded in 2014 compared to nonexpansion states (2.2% and 3.2% point increases, respectively), but the difference was not significant (P = .07). Changes in the uninsured rate at age 26 did not differ significantly by sex or race and ethnicity.
Conclusions: The 2010 dependent coverage provision led to more coverage options among young adults and in turn the uninsured rate declined among a population historically among the most likely to lack coverage. The 2014 Medicaid and Marketplace expansions reduced the uninsured rate even further among young adults. Despite important progress, our findings for 2014-2019 were similar to previous studies using pre-ACA data suggesting that coverage loss remains a risk when adults age out of dependent coverage at age 26.
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http://dx.doi.org/10.1016/j.acap.2023.09.021 | DOI Listing |
Proteomes
November 2024
Department of Molecular Biosciences, University of South Florida, Tampa, FL 33620, USA.
As the primary innate immune cells of the brain, microglia play a key role in various homeostatic and disease-related processes. To carry out their numerous functions, microglia adopt a wide range of phenotypic states. The proteomic landscape represents a more accurate molecular representation of these phenotypes; however, microglia present unique challenges for proteomic analysis.
View Article and Find Full Text PDFNan Fang Yi Ke Da Xue Xue Bao
December 2024
School of Mathematics and Statistics, Changchun University of Technology, Changchun 130000, China.
: To assess the validity and effectiveness of parameter estimation using a time-dependent Weibull proportional hazards model for survival analysis containing partly interval censored data and explore the impact of different covariates on the results of analysis. : We established a time-dependent Weibull proportional hazards model using the Weibull distribution as the baseline hazard function of the model which incorporated time-varying covariates. Maximum likelihood estimation was employed to estimate the model parameters, which were obtained by optimization of the likelihood function.
View Article and Find Full Text PDFBiometrics
October 2024
Evidence Generation and Advanced Analytics Biogen Digital Health, Biogen, Cambridge, MA 02142, United States.
In many clinical contexts, the event of interest could occur multiple times for the same patient. Considerable advancement has been made on developing recurrent event models based on or that use biomarker information. However, less attention has been given to evaluating the prognostic accuracy of a biomarker or a composite score obtained from a fitted recurrent event-rate model.
View Article and Find Full Text PDFJ Colloid Interface Sci
December 2024
Department of Chemical Science and Technologies, Tor Vergata University of Rome, 00133 Rome, Italy. Electronic address:
The mutant selection window (MSW) is a range of antimicrobial concentrations, where some bacteria are killed, while others survive. Within this interval resistance may develop. Antimicrobial peptides (AMPs) are a promising class of antimicrobials that generally act by perturbing the integrity of bacterial membranes.
View Article and Find Full Text PDFInt J Ment Health Syst
December 2024
Alberta's Tomorrow Project, Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services:, 1820 Richmond Road SW, Calgary, AB, T2T 5C7, Canada.
Background: Effective mental healthcare coverage (EMHC) is an important health system performance indicator of a population's mental healthcare needs. This study aims to assess the factors and healthcare costs associated with the receipt of EMHC for anxiety and depression.
Methods: This study draws on data from participants from Alberta's Tomorrow Project with moderate or severe symptoms of anxiety and depression during the first wave of the COVID-19 pandemic (2020) with available medico-administrative and complete data [n = 720].
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