Evidence map›Paper›PMID 31463325›Full record

ArticleJournal of education and health promotion2019

Identification of the most appropriate variables for measuring the efficiency of Iranian public hospitals: Using Delphi technique.

Aziz Rezapour, Zeynab Foroughi, Niusha Shahidi Sadeghi, Mehran Faraji, Alireza Mazdaki, Ali Sarabi Asiabar, Noureddin Niknam, Keivan Rahmani, Saeed Mohammad-Pour

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Article in Journal of education and health promotion, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed.

  1. Hospital performance evaluation models: A scoping review.Journal of education and health promotion · 2025
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4 · The record

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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

9 authors.

Aziz RezapourHealth Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.
Zeynab ForoughiDepartment of Health Services Management, School of Management and Medical Information, Iran University of Medical Sciences, Tehran, Iran.
Niusha Shahidi SadeghiDepartment of Health Services Management, School of Management and Medical Information, Iran University of Medical Sciences, Tehran, Iran.
Mehran FarajiHealth Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.
Alireza MazdakiHealth Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.
Ali Sarabi AsiabarHealth Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.
Noureddin NiknamDepartment of Health Services Management, School of Management and Medical Information, Iran University of Medical Sciences, Tehran, Iran.
Keivan RahmaniHealth Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Saeed Mohammad-PourDepartment of Health Economics, School of Management and Medical Information, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextSelecting variables is a fundamental step in evaluating comparative efficiency because the results of measuring efficiency depend on the used variables.

aimsThe aim of this study is to provide a comprehensive set of input and output variables for measuring efficiency with an emphasis on application in general hospitals in Iran. MATERIALS AND

methodsThis study comprised a literature review followed by a Delphi survey process. After extracting the variables from the literature review in order to reach consensus on them and identify the native variables, the researchers used the Delphi technique in three rounds. Thirty Iranian hospital managers, in Alborz, Saveh, Qazvin, Qom, and Hamadan universities, participated in this study. For analysis, the interquartile range (IQR) and median were used. IQR was used to assess the agreement of Delphi panel members.

resultsAfter literature review, nine indicators were identified as input variables and 11 indicators were identified as output variables. After the proposed changes by Delphi members, 24 input variables and 24 output variables were identified to measure hospital efficacy. Finally, ten variables were selected as inputs and ten variables were selected as outputs to measure the performance of public hospitals in Iran by using the consensus of the members in the Delphi panel.

conclusionsThis study proposes a framework for selecting the most appropriate variables for measuring the hospital efficiency with an emphasis on nonparametric methods. Choosing variables to measure hospital efficiency requires infrastructure such as an intelligent information system.

Indexed as

Delphi techniqueefficiencyIranpublic hospital

Identifiers

PMID31463325
PMCPMC6691629

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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.