Background: Observational studies reported that nontrauma/low-level trauma centers less frequently transferred insured injured patients to high-level centers. The dependent coverage provision of the Affordable Care Act was a natural experiment expanding insurance eligibility in 2010 by allowing young adults to remain on their parents' insurance until age 26 years old. The objective was to determine whether expanded insurance eligibility reduced interhospital transfers.
Methods: This observational, retrospective cohort study of the 2007-2013 National Trauma Data Bank used a difference-in-differences design to compare the change in interhospital transfer rates before and after dependent coverage provision implementation between dependent coverage provision-eligible (aged 19-25 years) and dependent coverage provision-ineligible (aged 27-34 years) injured patients. The exposure of interest was the dependent coverage provision. The main outcome was yearly rate of interhospital transfer. Least-squares linear regression modeled interhospital transfer rates and quantified association with the age-based dependent coverage provision eligibility binary interaction term in the pre-dependent coverage provision versus post-dependent coverage provision time periods.
Results: A total of 535,036 dependent coverage provision-eligible and 431,462 dependent coverage provision-ineligible patients were identified. The median Injury Severity Score was 6.0 (interquartile range = 4.0-13.0) for both cohorts. Private insurance rates increased from 28.1% to 38.7% among the dependent coverage provision-eligible cohort and from 27.0% to 30.5% among the older cohort between the pre-dependent coverage provision to post-dependent coverage provision time period. The average yearly interhospital transfer rate was not significantly different between the cohorts in the pre-dependent coverage provision (2.3% lower among dependent coverage provision-eligible) and the post-dependent coverage provision time periods (2.9% lower among dependent coverage provision-eligible). Difference-in-differences analysis revealed nonsignificant 14.6 fewer transfers/10,000 patients (95% confidence interval = 33.7 fewer to 4.4 more transfers/10,000 patients).
Conclusion: Policies expanding insurance eligibility do not reduce interhospital transfers in a mature trauma system.
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http://dx.doi.org/10.1016/j.surg.2024.10.012 | DOI Listing |
Appl Physiol Nutr Metab
January 2025
Coventry University, Centre for Sport Exercise and Life Sciences, Coventry, Warwickshire, United Kingdom of Great Britain and Northern Ireland;
Exercise and passive heating share some acute physiological responses. These include increases in body temperature, sweat rate, blood flow, heart rate, and redistribution of plasma and blood volume. These responses can vary depending on the heating modality or dose (e.
View Article and Find Full Text PDFJ Am Soc Mass Spectrom
January 2025
MS Proteomics Research Group, HUN-REN Research Centre for Natural Sciences, Magyar Tudósok körútja 2, H-1117 Budapest, Hungary.
In recent years, alternative enzymes with varied specificities have gained importance in MS-based bottom-up proteomics, offering orthogonal information about biological samples and advantages in certain applications. However, most mass spectrometric workflows are optimized for tryptic digests. This raises the questions of whether enzyme specificity impacts mass spectrometry and if current methods for nontryptic digests are suboptimal.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Community & Family Medicine, All India Institute of Medical Sciences, 151001, Bathinda, Punjab, India.
Introduction: Existing evidence suggests a lower uptake of cervical cancer screening among Indian women. Coverage is lower in rural than urban women, but such disparities are less explored. So, the present study was conducted to explore the self-reported coverage of cervical cancer screening in urban and rural areas stratified by socio-demographic characteristics, determine the spatial patterns and identify any regional variations, ascertain the factors contributing to urban-rural disparities and those influencing the likelihood of screening among women aged 30-49 years factors residing in urban, rural, and overall Indian settings.
View Article and Find Full Text PDFCommun Stat Theory Methods
March 2024
Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, 53226, Wisconsin,USA.
Competing risks data in clinical trial or observational studies often suffer from cluster effects such as center effects and matched pairs design. The proportional subdistribution hazards (PSH) model is one of the most widely used methods for competing risks data analyses. However, the current literature on the PSH model for clustered competing risks data is limited to covariate-independent censoring and the unstratified model.
View Article and Find Full Text PDFCommun Stat Simul Comput
August 2023
Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Observational studies with right-censored data often have clustered data due to matched pairs or a study center effect. In such data, there may be an imbalance in patient characteristics between treatment groups, where Kaplan-Meier curves or unadjusted cumulative incidence curves can be misleading and may not represent the average patient on a given treatment arm. Adjusted curves are desirable to appropriately display survival or cumulative incidence curves in this case.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!