Evidence map›Paper›PMID 39444483›Full record

ArticleIranian journal of public health2024

Hospital Managers' Decision-Making Puzzle.

Yeganeh Hayati, Ali Mohammad Mosadeghrad, Mohammad Arab

Abstract read
In one paragraph

Article in Iranian journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yeganeh HayatiDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Ali Mohammad MosadeghradDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad ArabDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Decision-making is choosing one option from among different options. Most decision-making models were developed in the general industry. Specific decision-making models are needed due to the special nature of the hospital and its services. We aimed to propose and validate a decision-making model for hospital managers. Methods: This research used the modified Delphi technique to develop and validate a decision-making model for hospital managers. A data collection form was used to collect data. The search of English databases covered the period from 1990 to 2020. The first draft of the model was introduced through a scoping review and semi-structured interviews. Two rounds of Delphi were conducted with 33 experts to verify the proposed model. Results: Many factors affect the quality and outcome of a hospital manager's decision. The decision-making model developed in this study has 10 constructs grouped into three components (i.e., inputs, processes, and outputs). These constructs include decision maker, decision implementer, organization, client, subject, analysis, identification, evaluation & selection, implementation and control. This model provides a guide for each decision stage and determines the conditions necessary for a good decision. Conclusion: Using the decision-making puzzle and considering the set of inputs, processes, and outcomes of the decision making together alongside with specifying the details of each decision-making stage make it easy for hospital managers to decide. Such a scientific, objective and systematic approach in decision-making will result in desired results for staff, patients, managers and the hospital. This puzzle is also a good tool for pathology of hospital managers' decisions.

Indexed as

Decision-makingHospitalManagersModel

Identifiers

PMID39444483
PMCPMC11493563

What OpenQuestion holds

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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.