Objectives: To identify the principles the public considers important and the trade-offs between different values in health-care resource allocation practices.
Methods: This study approached the issue in both qualitative and quantitative ways. In a qualitative study, two focus groups discussed the issues of resource allocation in health care. To facilitate the discussion, a simple ranking task and a series of pairwise choice practices were implemented. A discrete choice experiment survey questionnaire was also administered to a sample of the general population. Attributes and levels were determined through literature reviews and the results from the focus group interview. We used a random-effect probit model to assess the effects of each attribute.
Results: Through the focus group interviews, we found strong public support for the principle of equal opportunity. The participants thought that the severity of disease was the most important criterion when setting priorities. The majority supported the idea that the most disadvantaged should have the highest priority even when their health gains are less than those of others. The discrete choice experiment results showed that the severity of disease, health gains, and patients' socioeconomic status significantly influence their choices, with each parameter having an expected sign.
Conclusion: The results showed that Koreans support not only health maximization but also equal opportunity, fair resource allocation, and equality.
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http://dx.doi.org/10.1016/j.jval.2011.11.014 | DOI Listing |
J Med Syst
January 2025
Unitat de Suport a la Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), C/ Mare de Déu de Guadalupe, 2, Mataró, 08303, Barcelona, Spain.
Predicting health-related outcomes can help with proactive healthcare planning and resource management. This is especially important on the older population, an age group growing in the coming decades. Considering longitudinal rather than cross-sectional information from primary care electronic health records (EHRs) can contribute to more informed predictions.
View Article and Find Full Text PDFViruses
December 2024
NKC Institute of Gastroenterology and Hepatology, Songklanagarind Hospital, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand.
Hepatitis B virus (HBV) and hepatitis C virus (HCV) infections remain significant public health challenges in Asia, affecting millions and contributing to substantial morbidity and mortality. The prevalence of these infections varies across the region, with factors such as vaccination coverage, healthcare infrastructure, and sociocultural barriers influencing the epidemiology of both viruses. The persistent burden of chronic HBV, particularly in older populations, and the evolving HCV genotype landscape highlight the need for targeted, region-specific strategies.
View Article and Find Full Text PDFPlants (Basel)
January 2025
Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Department of Agronomy, Zhejiang University, Hangzhou 310058, China.
Heat stress is one of the major concerns for wheat production worldwide. Morphological parameters such as germination, leaf area, shoot, and root growth are affected by heat stress, with affected physiological parameters including photosynthesis, respiration, and water relation. Heat stress also leads to the generation of reactive oxygen species that disrupt the membrane systems of thylakoids, chloroplasts, and the plasma membrane.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A2, Canada.
LoRa modulation is a widely used technology known for its long-range transmission capabilities, making it ideal for applications with low data rate requirements, such as IoT-enabled sensor networks. However, its inherent low data rate poses a challenge for applications that require higher throughput, such as video surveillance and disaster monitoring, where large image files must be transmitted over long distances in areas with limited communication infrastructure. In this paper, we introduce the LoRa Resource Allocation (LRA) algorithm, designed to address these limitations by enabling parallel transmissions, thereby reducing the total transmission time () and increasing the bit rate (BR).
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Business, Beijing Wuzi University, Beijing 101149, China.
Unmanned aerial vehicle (UAV)-based wireless sensor networks (WSNs) hold great promise for supporting ground-based sensors due to the mobility of UAVs and the ease of establishing line-of-sight links. UAV-based WSNs equipped with mobile edge computing (MEC) servers effectively mitigate challenges associated with long-distance transmission and the limited coverage of edge base stations (BSs), emerging as a powerful paradigm for both communication and computing services. Furthermore, incorporating simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) as passive relays significantly enhances the propagation environment and service quality of UAV-based WSNs.
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