ArticleJournal of medical systems2015
Do Geographical Locations Affect in Hospitals Performance? A Multi-group Data Envelopment Analysis.
Article in Journal of medical systems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 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
- The spatial spillover effect of environmental regulation on the total factor productivity of pharmaceutical manufacturing industry in China.Scientific reports · 2022Article
- Road map for progress and attractiveness of Iranian hospitals by integrating self-organizing map and context-dependent DEA.Health care management science · 2019Article
- The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals.Health care management science · 2019Review
- Systematic review and meta-analysis of public hospital efficiency studies in Gulf region and selected countries in similar settings.Cost effectiveness and resource allocation : C/E · 2019Review
- Healthcare efficiency assessment using DEA analysis in the Slovak Republic.Health economics review · 2018Article
- A New Strategy to Evaluate Technical Efficiency in Hospitals Using Homogeneous Groups of Casemix : How to Evaluate When There is Not DRGs?Journal of medical systems · 2016Article
- Importance of Statistical Evidence in Estimating Valid DEA Scores.Journal of medical systems · 2016Article
- Longitudinal Evaluation on the Operation Index Applied to Public Hospitals in Pudong New District of Shanghai, China.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hospitals are the main and the last component of the health care systems. Therefore, evaluating the performance of hospitals is vital. Several studies are done in hospitals evaluation, but almost none of them consider the geographical features. This paper proposes a new approach for evaluating hospitals. In the proposed approach, hospitals are classified into various groups and each group is equivalent to a province. It causes hospitals in each category (province) must be evaluated in homogenous environment. For this purpose, the conventional data envelopment analysis (DEA) model has been developed to this structure. The main feature of the proposed model is that it takes into consideration the geographical location. In other words, we propose a multi-group DEA model. The data on 288 Iranian hospitals grouped under 31 provinces are used to demonstrate the model. The results show that the efficiency scores are greatly changed when hospitals are evaluated in own groups.
Indexed as
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26208596What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.