Evidence map›Paper›PMID 34667815›Full record

ReviewJournal of education and health promotion2021

Countries' experiences in reforming hospital administration structure based on the Parker and Harding model: A systematic review study.

Jafar Sadegh Tabrizi, Saber Azami Aghdash, Mahdi Nouri

Abstract readReview
In one paragraph

Review in Journal of education and health promotion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

3 authors.

Jafar Sadegh TabriziTabriz Health Services Management Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Saber Azami AghdashTabriz Health Services Management Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Mahdi NouriDepartment of Health Policy and Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, many reforms have been made on the structure of hospital administration, most of which are proposed by Parker-Harding models. Therefore, the purpose of this study is to systematically review global relevant experiences in reforming the hospital governance structure with emphasis on the Parker-Harding model. Required information was collected using keywords autonomization, corporatization, privatization, decentralization, reform, hospital autonomy, governance model, and structural reform in databases such as EMBASE, PubMed, Scopus, SID, MagIran, and other resources. Information on the subjects under study was collected from 1990 to 2020. The content extraction method was used for data extraction and data analysis. Thirty-nine sources were included in the study. Results of searching for relevant evidence on a variety of hospital governance models (government, board, corporate, and private) based on the Parker-Harding model in four categories including strengths (31), weaknesses (30), outcomes (26), and interventions (21) are outlined. In this study, strengths, weaknesses, outcomes, and corrective interventions were presented for different models of hospital administration that could be used by healthcare policymakers. Also, According to the results of this study, governmental model less recommended.

Indexed as

Healthcare reformhospital administrationsystematic review

Identifiers

PMID34667815
PMCPMC8459866

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.