Evidence map›Paper›PMID 27054014›Full record

ArticleElectronic physician2016

Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method.

Satar Rezaei, Hamed Zandian, Akram Baniasadi, Telma Zahirian Moghadam, Somayeh Delavari, Sajad Delavari

Abstract read
In one paragraph

Article in Electronic physician, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

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7citing papers in PubMed, 1 pooled it
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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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
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  6. Hospitals' efficiency in Iran: A systematic review and meta-analysis.Journal of education and health promotion · 2019
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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

6 authors.

Satar RezaeiResearch Center for Environmental Determinants of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Hamed ZandianDepartment of Public Health, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran.
Akram BaniasadiDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Telma Zahirian MoghadamHealth Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.
Somayeh DelavariDepartment of Medical Education, School of Medicine And Center for Educational Research in Medical Sciences (CERMS), Iran University of Medical Sciences, Tehran, Iran.
Sajad DelavariHealth Human Resources Research Center, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHospitals are the most expensive health services provider in the world. Therefore, the evaluation of their performance can be used to reduce costs. The aim of this study was to determine the efficiency of the hospitals at the Kurdistan University of Medical Sciences using stochastic frontier analysis (SFA).

methodsThis was a cross-sectional and retrospective study that assessed the performance of Kurdistan teaching hospitals (n = 12) between 2007 and 2013. The Stochastic Frontier Analysis method was used to achieve this aim. The numbers of active beds, nurses, physicians, and other staff members were considered as input variables, while the inpatient admission was considered as the output. The data were analyzed using Frontier 4.1 software.

resultsThe mean technical efficiency of the hospitals we studied was 0.67. The results of the Cobb-Douglas production function showed that the maximum elasticity was related to the active beds and the elasticity of nurses was negative. Also, the return to scale was increasing.

conclusionThe results of this study indicated that the performances of the hospitals were not appropriate in terms of technical efficiency. In addition, there was a capacity enhancement of the output of the hospitals, compared with the most efficient hospitals studied, of about33%. It is suggested that the effect of various factors, such as the quality of health care and the patients' satisfaction, be considered in the future studies to assess hospitals' performances.

Indexed as

hospitalstochastic frontier analysistechnical efficiency

Identifiers

PMID27054014
PMCPMC4821320

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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.