ArticleJournal of medical systems2016
A New Strategy to Evaluate Technical Efficiency in Hospitals Using Homogeneous Groups of Casemix : How to Evaluate When There is Not DRGs?
Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Approach in inputs & outputs selection of Data Envelopment Analysis (DEA) efficiency measurement in hospitals: A systematic review.PloS one · 2024Pooled it
- Medical service performance evaluation of tertiary general hospitals in Sichuan Province in China based on diagnosis-related groups.BMC health services research · 2025Article
- Hospital performance evaluation models: A scoping review.Journal of education and health promotion · 2025Review
- Efficiency and Resource Allocation in Government Hospitals in Saudi Arabi: A Casemix Index Approach.Healthcare (Basel, Switzerland) · 2023Article
- Analyzing the effect of health reforms on the efficiency of Ecuadorian public hospitals.International journal of health economics and management · 2023Article
- Health system efficiency in OECD countries: dynamic network DEA approach.Health economics review · 2021Article
- Performance evaluation of medical service for breast cancer patients based on diagnosis related groups.BMC health services research · 2021Article
- The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals.Health care management science · 2019Review
- Healthcare efficiency assessment using DEA analysis in the Slovak Republic.Health economics review · 2018Article
- Strategies for the quality assessment of the health care service providers in the treatment of Gastric Cancer in Colombia.BMC health services research · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The public health system has restricted economic resources. Because of that, it is necessary to know how the resources are being used and if they are properly distributed. Several works have applied classical approaches based in Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) for this purpose. However, if we have hospitals with different casemix, this is not the best approach. In order to avoid biases in the comparisons, other works have recommended the use of hospital production data corrected by the weights from Diagnosis Related Groups (DRGs), to adjust the casemix of hospitals. However, not all countries have this tool fully implemented, which limits the efficiency evaluation. This paper proposes a new approach for evaluating the efficiency of hospitals. It uses a graph-based clustering algorithm to find groups of hospitals that have similar production profiles. Then, DEA is used to evaluate the technical efficiency of each group. The proposed approach is tested using the production data from 2014 of 193 Chilean public hospitals. The results allowed to identify different performance profiles of each group, that differs from other studies that employs data from partially implemented DRGs. Our results are able to deliver a better description of the resource management of the different groups of hospitals. We have created a website with the results ( bioinformatic.diinf.usach.cl/publichealth ). Data can be requested to the authors.
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