ArticleComputational and mathematical methods in medicine2016
A Bayesian Approach for Evaluation of Determinants of Health System Efficiency Using Stochastic Frontier Analysis and Beta Regression.
Article in Computational and mathematical methods in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Analysing the Efficiency of Health Systems: A Systematic Review of the Literature.Applied health economics and health policy · 2023Pooled it
- Hotel Performance in the UK: The Role of Information Entropy in a Novel Slack-Based Data Envelopment Analysis.Entropy (Basel, Switzerland) · 2021Article
- Behavioral Analysis of Visitors to a Medical Institution's Website Using Markov Chain Monte Carlo Methods.Journal of medical Internet research · 2016Article
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Authors and funding
2 authors.
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Abstract
In today's world, Public expenditures on health are one of the most important issues for governments. These increased expenditures are putting pressure on public budgets. Therefore, health policy makers have focused on the performance of their health systems and many countries have introduced reforms to improve the performance of their health systems. This study investigates the most important determinants of healthcare efficiency for OECD countries using second stage approach for Bayesian Stochastic Frontier Analysis (BSFA). There are two steps in this study. First we measure 29 OECD countries' healthcare efficiency by BSFA using the data from the OECD Health Database. At second stage, we expose the multiple relationships between the healthcare efficiency and characteristics of healthcare systems across OECD countries using Bayesian beta regression.
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