ArticleHealth services research2012
Development of peer-group-classification criteria for the comparison of cost efficiency among general hospitals under the Korean NHI program.
Article in Health services research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Assessing Hospital Surgical Functions in Korea: A Functional Analysis Using the Disease Control Priorities, 3rd Edition Essential Surgery List (2013-2022).Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2025Article
- Article
- Association between costs and quality of acute myocardial infarction care hospitals under the Korea National Health Insurance program.Medicine · 2017Article
- Observational
- Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo classify general hospitals into homogeneous systematic-risk groups in order to compare cost efficiency and propose peer-group-classification criteria. DATA SOURCES: Health care institution registration data and inpatient-episode-based claims data submitted by the Korea National Health Insurance system to the Health Insurance Review and Assessment Service from July 2007 to December 2009. STUDY
designCluster analysis was performed to classify general hospitals into peer groups based on similarities in hospital characteristics, case mix complexity, and service-distribution characteristics. Classification criteria reflecting clustering were developed. To test whether the new peer groups better adjusted for differences in systematic risks among peer groups, we compared the R(2) statistics of the current and proposed peer groups according to total variations in medical costs per episode and case mix indices influencing the cost efficiency. DATA COLLECTION: A total of 1,236,471 inpatient episodes were constructed for 222 general hospitals in 2008. PRINCIPAL
findingsNew criteria were developed to classify general hospitals into three peer groups (large general hospitals, small and medium general hospitals treating severe cases, and small and medium general hospitals) according to size and case mix index.
conclusionsThis study provides information about using peer grouping to enhance fairness in the performance assessment of health care providers.
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