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| http://dx.doi.org/10.1073/pnas.1922152117 | DOI Listing |
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Value-based healthcare for social insurance medicine: key enablers for adoption in practice.
BMJ Open Qual
December 2024
Department of Public and Occupational Health, Coronel Institute of Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands.
Background: Driven by rising retirement age and increasing prevalence of chronic diseases impacting work participation, there is an increasing need for quality and efficiency improvement in social insurance medicine (SIM). SIM provides guidance to individuals facing long-term work disability, assess their functional abilities and eligibility for long-term disability benefits. Value-based healthcare (VBHC) targets quality and efficiency improvements in healthcare by placing a priority on improving patient value.
View Article and Find Full Text PDFImpact of the Cooperative Health Insurance System in Saudi Arabia on Universal Health Coverage-A Systematic Literature Review.
Healthcare (Basel)
January 2025
Department of Health Services Research, Care and Public Health Research Institute-CAPHRI, Maastricht University Medical Center, Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
Background: This systematic review assesses the role of the Cooperative Health Insurance System (CHIS) in achieving Universal Health Coverage (UHC) in Saudi Arabia's evolving healthcare system by consolidating and analyzing findings from diverse studies to provide a comprehensive overview of CHIS's impact and also identifies contextual challenges and practical insights that can inform similar reforms globally.
Methods: We report results following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The following six databases were searched for relevant studies: PubMed, Scopus, CINAHL, Business Source Complete, APA PsycINFO, and SocIndex.
Are quality-adjusted life years (QALYs) becoming more expensive? Evidence from economic evaluations of diabetic therapeutics.
Expert Rev Pharmacoecon Outcomes Res
January 2025
School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
Background: Empirical evidence regarding temporal trends in cost per quality-adjusted life year (QALY) gained remains limited. This study investigates the evolution of cost-effectiveness for diabetes mellitus treatments over time.
Research Design And Methods: We analyzed cost-effectiveness analyses of anti-diabetic pharmaceuticals extracted from the Tufts Medical Center Cost-Effectiveness Analysis Registry (CEAR).
Trends in global and regional incidence and prevalence of hypertensive disordersin pregnancy (1990-2021): an age-period-cohort analysis.
Sci Rep
January 2025
Department of Gynecology, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, 750002, Ningxia, China.
Hypertensive disorders of pregnancy (HDP) are significant global health issues. This study utilized data from the Global Burden of Disease Study 2021 to analyze trends in incidence, prevalence, and Disability-Adjusted Life Years (DALY) associated with HDP across 204 countries from 1990 to 2021. The analysis employed estimated annual percentage changes and an age-period-cohort model, stratifying data by age, year, geographical region, and sociodemographic index (SDI).
View Article and Find Full Text PDFComprehensive Analysis of Factors Influencing Patients' Preferences and Attitudes toward Dental Treatment Choices.
Ann Afr Med
December 2024
Department of Public Health Dentistry, Government Dental College, Kottayam, Kerala, India.
Introduction: In recent years, patient preferences and attitudes have become crucial in shaping dental treatment choices and service utilization. Understanding these preferences is crucial for improving service delivery and patient satisfaction.
Aim: This study aims to comprehensively analyze the factors influencing these preferences, focusing on demographic, socio-economic, and behavioral variables, and the growing role of social media in healthcare decisions.
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