Extending the Grossman (J Polit Econ 80:223-255, 1972) model of health capital into a stochastic one, we analyze how the presence of Knightian uncertainty about the efficacy of health care affects the optimal health investment behavior of individuals. Using Gilboa and Schmeidler's (J Math Econ 18:141-153, 1989) model of max/min expected utility (MMEU) with multiple priors, we show that an agent retains the initial level of health capital if the price of health care lies within a certain range. We also show that the no-investment range expands as the degree of Knightian uncertainty rises.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s10198-010-0238-2 | DOI Listing |
Sci Rep
December 2024
Department of Public Health, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran.
Healthcare workers are exposed to a high risk of COVID-19 infection due to close contact with infected patients in healthcare centers. This study aimed to investigate the level of exposure and risk of COVID-19 virus infection among healthcare workers working in primary healthcare centers in Khuzestan province, Iran. This cross-sectional study was conducted among 599 healthcare workers working in primary healthcare centers in the northern region of Khuzestan province, Iran, in 2022.
View Article and Find Full Text PDFBMJ Open
December 2024
Eyu-Ethiopia: Eye Health Research, Training & Service Centre, Bahir Dar, Ethiopia
Introduction: The WHO neglected tropical diseases (NTD) roadmap (2021-2030) proposed a shift in approach to addressing NTDs through accountability for impact, implementing integration across NTDs, mainstreaming in national health systems and ensuring country ownership. However, a major challenge has been the dearth of evidence on how to implement this shift in a resource-limited setting. The objective of this scoping review is to understand the extent and type of evidence on the mainstreaming or integration of programmes and/or interventions against NTDs into the national health system.
View Article and Find Full Text PDFAnn Epidemiol
December 2024
Department of Internal Medicine, University of Botswana, Gaborone, Botswana.
Identifying and monitoring adverse effects (AEs) are integral to ensuring patient safety in clinical trials. Research sponsors and regulatory bodies have put into place a variety of policies and procedures to guide researchers in protecting patient safety during clinical trials. However, it remains unclear how these policies and procedures should be adapted for trials in implementation science.
View Article and Find Full Text PDFReprod Health
December 2024
The George Institute for Global Health, Imperial College London, London, UK.
Conflict-affected regions face severe reproductive health challenges that disproportionately impact adolescent girls and young women (AGYW) and children, who are especially vulnerable due to the breakdown of healthcare systems and limited access to essential services. AGYW are at heightened risk due to restricted access to family planning, prenatal care, and emergency obstetric services, while children face malnutrition, disease outbreaks, and developmental delays. These challenges have profound long-term consequences for both their physical and psychological well-being.
View Article and Find Full Text PDFSci Rep
December 2024
National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
The phenomenon of population aging in China has evolved into an irreversible trend. The state places significant emphasis on the health-related initiatives for the elderly and has implemented pertinent policies. This study aims to identify the primary health issues affecting the elderly population in China, ascertain the key risk factors influencing their health, and offer a scientific foundation for the government to develop ongoing policies and strategies, as well as to allocate health resources efficiently.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!