Evidence map›Paper›PMID 30061781›Full record

ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2018

Hospital Efficiency Measurement Before and After Health Sector Evolution Plan in Southwest of Iran: a DEA-Panel Data Study.

Narges Pirani, Mansour Zahiri, Kambiz Ahmadi Engali, Amin Torabipour

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Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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

  1. Pooled it
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  12. Efficiency of Human Resources in Public Hospitals: An Example from the Czech Republic.International journal of environmental research and public health · 2021
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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

4 authors.

Narges PiraniDepartment of Health Services Management, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Mansour ZahiriDepartment of Health Services Management, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Kambiz Ahmadi EngaliDepartment of Epidemiology and Biostatistics, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Amin TorabipourDepartment of Health Services Management, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEfficiency is one of the most important indicators of hospital performance evaluation.

aimThe study was conducted to measure the efficiency of public hospitals. MATERIAL AND

methodsThis was a cross-sectional and panel data study. Data were retrospectively collected using hospital records and hospital information system. In this study, panel data of 17 public hospitals affiliated with Ahvaz University of Medical Sciences, in southwest of Iran were studied during 2012-2016. The output-based data envelopment analysis technique and variable return to scale assumption (VRS) were used. Regression model was used to assess factors affecting hospital efficiency. Data were analyzed using Deap2.1 and R software.

resultsThe mean of technical efficiency, managerial efficiency, and scale efficiency of the hospitals during 2012-2016 were 0.230, 0.272 and 0.732, respectively. Assessment of return to scale results over 5 years showed that 65% (11 cases) of hospitals had a decreasing return to scale, 24% (4 cases) had a constant return to scale, and 12% (2 cases) had an increasing return to scale. Also, mean of technical managerial, and scale efficiency in specialized hospitals were higher than other hospitals (0.331, 0.353, and 0.873). Beta regression analysis showed the effect of both variable length of stay and number of beds on hospital efficiency was significant (p-value <0.05)..

conclusionsThe results showed that efficiency of selected public hospitals was the poor. Technical efficiency and managerial efficiency were lower than scale efficiency rate. Also, Multi- specialized hospitals were in critical status considering resource management and economies of scale.

Indexed as

Health care reformHospital efficiencyResource

Identifiers

PMID30061781
PMCPMC6029917

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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.