Hospital quality ratings are widely available to help Medicare beneficiaries make an informed choice about where to receive care. However, how beneficiaries' trade-off between different quality domains (clinical outcomes, patient experience, safety, efficiency) and other considerations (out-of-pocket cost, travel distance) is not well understood. We sought to study how beneficiaries make trade-offs when choosing a hypothetical hospital. We administered an online survey that included a discrete choice experiment to a nationally representative sample of 1025 Medicare beneficiaries. On average, beneficiaries were willing to pay $1698 more for a hospital with a 1-star higher rating on clinical outcomes. This was over twice the value of the patient experience ($691) and safety ($615) domains and nearly 8 times the value of the efficiency domain ($218). We also found that the value of a 1-star improvement depends not only on the quality domain but also the baseline level of performance of the hospital. Generally, it is more valuable for low-performing hospitals to achieve average performance than for average hospitals to achieve excellence.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10986207 | PMC |
http://dx.doi.org/10.1093/haschl/qxad085 | DOI Listing |
Sci Rep
January 2025
Center for Economic and Social Studies, Documentation and Research (CEDRES), Thomas Sankara University (UTS), 12 BP 417, Ouagadougou 12, Burkina Faso.
Soil degradation is a major cause of agricultural productivity decrease in sub-Saharan Africa. In Burkina Faso, efforts to reduce this environmental issue has emerged since several decades. However, most of the techniques developed are rarely adopted by farmers.
View Article and Find Full Text PDFJ Transl Med
January 2025
Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Republic of Singapore.
Background: Risk-based breast cancer screening offers a more targeted and potentially cost-effective approach in cancer detection compared to age-based screening. This study aims to understand women's preferences and willingness for undergoing risk assessment tests.
Methods: A discrete choice experiment (DCE) was conducted.
Cureus
December 2024
Department of Health Policy, Management and Behavioural Science, Indian Institute of Public Health Gandhinagar, Gandhinagar, IND.
Background: Understanding the preferences of specialist physicians is essential to mitigate their critical deficiency in the Indian rural healthcare system. This necessitates an urgent focus to inform health policy interventions imperative to address and strengthen the vacancies of specialist physicians in the Indian rural healthcare system. The policy interventions should address the preferences of specialists, leading to their intention to stay in rural postings.
View Article and Find Full Text PDFIran J Pharm Res
June 2024
Department of Pharmacoeconomics and Pharmaceutical Administration, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Context: Breast cancer poses significant challenges due to its high incidence and prevalence, necessitating heightened attention. Understanding how patients prioritize different treatment options based on various attributes can assist healthcare decision-makers in maximizing patient utility. The discrete choice experiment, a conjoint method, facilitates preference elicitation by presenting different attributes and choices.
View Article and Find Full Text PDFJ Acquir Immune Defic Syndr
January 2025
Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, Florida, USA.
Introduction: Florida remains a high-incidence, high-prevalence setting for HIV. Long-acting (LA) antiretroviral therapies (ART) could improve HIV-related outcomes and reduce transmission. This study identifies preferred LA ART characteristics and classes of preference among people with HIV (PWH) in Florida.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!