Evidence map›Paper›PMID 26060727›Full record

ArticleIranian journal of public health2014

Hospitals Productivity Measurement Using Data Envelopment Analysis Technique.

Amin Torabipour, Maryam Najarzadeh, Mohammad Arab, Freshteh Farzianpour, Roya Ghasemzadeh

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Article in Iranian journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
13.7field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  12. Bootstrapping data envelopment analysis of efficiency and productivity of county public hospitals in Eastern, Central, and Western China after the public hospital reform.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2017
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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

5 authors at 2 institutions in 1 country.

Amin Torabipour1. Dept. of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences , Tehran, Iran.
Maryam Najarzadeh2. Rehabilitation Research Center of Muscle-Skeletal, School of Rehabilitation Sciences, Ahvaz Jundishapur University of Medical Sciences , Ahvaz, Iran.
Mohammad Arab1. Dept. of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences , Tehran, Iran.
Freshteh Farzianpour1. Dept. of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences , Tehran, Iran.
Roya Ghasemzadeh2. Rehabilitation Research Center of Muscle-Skeletal, School of Rehabilitation Sciences, Ahvaz Jundishapur University of Medical Sciences , Ahvaz, Iran.
Iran University of Medical Sciences · IRAhvaz Jundishapur University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to measure the hospital productivity using data envelopment analysis (DEA) technique and Malmquist indices.

methodsThis is a cross sectional study in which the panel data were used in a 4 year period from 2007 to 2010. The research was implemented in 12 teaching and non-teaching hospitals of Ahvaz County. Data envelopment analysis technique and the Malmquist indices with an input-orientation approach, was used to analyze the data and estimation of productivity. Data were analyzed using the SPSS.18 and DEAP.2 software.

resultsSix hospitals (50%) had a value lower than 1, which represents an increase in total productivity and other hospitals were non-productive. the average of total productivity factor (TPF) was 1.024 for all hospitals, which represents a decrease in efficiency by 2.4% from 2007 to 2010. The average technical, technologic, scale and managerial efficiency change was 0.989, 1.008, 1.028, and 0.996 respectively. There was not a significant difference in mean productivity changes among teaching and non-teaching hospitals (P>0.05) (except in 2009 years).

conclusionProductivity rate of hospitals had an increasing trend generally. However, the total average of productivity was decreased in hospitals. Besides, between the several components of total productivity, variation of technological efficiency had the highest impact on reduce of total average of productivity.

Indexed as

DEAHospital productivityMalmquist indicesTechnical efficiency

Identifiers

PMID26060727
PMCPMC4449509
OpenAlexW2137433250

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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.