Measuring the total impact of health insurance receipt on household labor supply is important in an era of increased access to publicly provided and subsidized insurance. Although government expansion of health insurance to older workers leads to direct labor supply reductions for recipients, there may be spillover effects on the labor supply of uncovered spouses. While the most basic model predicts a decrease in overall household work hours, financial incentives such as credit constraints, target income levels, and the need for own health insurance suggest that spousal labor supply might increase. In contrast, complementarities of spousal leisure would predict a decrease in labor supply for both spouses. Utilizing a mid-1990s expansion of health insurance for U.S. veterans, we provide evidence on the effects of public insurance availability on the labor supply of spouses. Using data from the Current Population Survey and Health and Retirement Study, we employ a difference-in-differences strategy to compare the labor market behavior of the wives of older male veterans and non-veterans before and after the VA health benefits expansion. Although husbands' labor supply decreases, wives' labor supply increases, suggesting that financial incentives dominate complementarities of spousal leisure. This effect is strongest for wives with lower education levels and lower levels of household wealth and those who were not previously employed full-time. These findings have implications for government programs such as Medicare and Social Security and the Affordable Care Act.
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http://dx.doi.org/10.1016/j.jhealeco.2015.11.005 | DOI Listing |
Geriatr Nurs
January 2025
Ordine delle Professioni Infermieristiche di Bergamo, via Pietro Rovelli 45, Bergamo 24125, Italy.
Introduction/objective: The relationship between staffing levels and skill mix in nursing homes is poorly documented in Italy. This study aimed to investigate nursing staffing levels and skill mix in Northern Italian nursing homes.
Methods: A cross-sectional observational study was conducted using a questionnaire sent to several nursing homes.
Soc Work Health Care
January 2025
Faculty of Clinical Medicine, Hanoi University of Public Health, Hanoi, Vietnam.
Studies on the hospital social work workforce in global contexts remain unexplored. This study aims to describe the workforce status for hospital social work in Vietnam. This study involved 676 central, provincial, and district hospitals in Vietnam.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Amref Health Africa in Ethiopia, EPI Technical Assistant at West Gondar Zonal Health Department, SLL Project, COVID-19 Vaccine, Gondar, Ethiopia.
Background: Ethiopian healthcare relies heavily on Health Extension Workers (HEWs), who deliver essential services to communities nationwide. By analyzing existing research, the authors explore how prevalent job satisfaction is and what factors affect it. This comprehensive analysis aims to improve HEW satisfaction through targeted interventions, ultimately leading to a more effective healthcare workforce and better health outcomes in Ethiopia.
View Article and Find Full Text PDFJ Med Ethics
January 2025
Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA.
Introduction: The integration of artificial intelligence (AI) into healthcare introduces innovative possibilities but raises ethical, legal and professional concerns. Assessing the performance of AI in core components of the United States Medical Licensing Examination (USMLE), such as communication skills, ethics, empathy and professionalism, is crucial. This study evaluates how well ChatGPT versions 3.
View Article and Find Full Text PDFBr J Nurs
January 2025
Professor, Department of Nursing, Beaver College of Health Sciences, Appalachian State University, Boone, North Carolina, USA.
Background/aim: Addressing the critical global shortage of nurses requires an understanding of how a global pandemic reshaped nurses' motivations and intentions toward education. This study aimed to describe COVID-19's impact on nurses' intent to pursue additional education.
Method: This descriptive study, based in North Carolina in the USA, used content analysis with an inductive approach to examine the responses of nurses to one open-ended question in a large quantitative workforce survey: how has COVID-19 influenced your plans for future education? Responses were coded with counts and organised into themes and subthemes.
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