Evidence map›Paper›PMID 31325003›Full record

ArticleHealth care management science2020

Integrated k-means clustering with data envelopment analysis of public hospital efficiency.

Songul Cinaroglu

Abstract read
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In one paragraph

Article in Health care management science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
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  8. Article
  9. The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach.Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA · 2023
    Article
  10. Article
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  12. Article
  13. Eco-Efficiency of the English and Welsh Water Companies: A Cross Performance Assessment.International journal of environmental research and public health · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Songul CinarogluFaculty of Economics and Administrative Sciences (FEAS), Department of Health Care Management, Hacettepe University, 06800, Beytepe, Ankara, Turkey. songulcinaroglu@gmail.com.ORCID http://orcid.org/0000-0001-5699-8402
Hacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this study is to integrate k-means clustering with data envelopment analysis to examine technical efficiencies in public hospitals in Turkey. A two-step analysis procedure involving provinces and public hospitals is applied in this study. The first step examines similar provinces in terms of welfare state indicators by using k-means clustering and silhouette (Sil) cluster validity index measures. Then, the efficiencies of public hospitals in different groups of provinces are determined. The data are taken from the Turkish Statistical Institute and the 2017 Public Hospitals Statistical Year Book for eighty-one provinces and 688 public hospitals. Study results show that, relative to similarities of welfare state indicators, there are five province groups (Sil = .58). The number of technically inefficient public hospitals is greater than the number of technically efficient public hospitals in all groups. Study results emphasize that incorporated methodology of k-means clustering with data envelopment analysis is useful to identify efficiencies of public hospitals located in provinces that have similar welfare status.

Indexed as

Efficiency, OrganizationalCluster AnalysisGross Domestic ProductHospital AdministrationHospitals, PublicHumansLife ExpectancyPopulation DensityTurkeyData envelopment analysisEfficiencyK-means clusteringPublic hospitalTurkey

Identifiers

PMID31325003
OpenAlexW2963942467

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.