Evidence map›Paper›PMID 32834973›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2020

Evaluation of hospital disaster preparedness by a multi-criteria decision making approach: The case of Turkish hospitals.

Miguel Ortiz-Barrios, Muhammet Gul, Pedro López-Meza, Melih Yucesan, Eduardo Navarro-Jiménez

Abstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
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  9. A Fuzzy Hybrid MCDM Approach for Assessing the Emergency Department Performance during the COVID-19 Outbreak.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Study on the Evaluation of Emergency Management Capacity of Resilient Communities by the AHP-TOPSIS Method.International journal of environmental research and public health · 2022
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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.

Miguel Ortiz-BarriosDepartment of Industrial Management, Agroindustry and Operations, Universidad de la Costa CUC, 58th St # 36 - 66, Barranquilla, Colombia.
Muhammet GulDepartment of Industrial Engineering, Munzur University, Tunceli, Turkey.
Pedro López-MezaDepartment of Industrial Engineering, Institución Universitaria ITSA, Barranquilla, Colombia.
Melih YucesanDepartment of Mechanical Engineering, Munzur University, Tunceli, Turkey.
Eduardo Navarro-JiménezFaculty of Health Sciences, Universidad Simon Bolívar, Barranquilla, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering the unexpected emergence of natural and man-made disasters over the world and Turkey, the importance of preparedness of hospitals, which are the first reference points for people to get healthcare services, becomes clear. Determining the level of disaster preparedness of hospitals is an important and necessary issue. This is because identifying hospitals with low level of preparedness is crucial for disaster preparedness planning. In this study, a hybrid fuzzy decision making model was proposed to evaluate the disaster preparedness of hospitals. This model was developed using fuzzy analytic hierarchy process (FAHP)-fuzzy decision making trial and evaluation laboratory (FDEMATEL)-technique for order preference by similarity to ideal solutions (TOPSIS) techniques and aimed to determine a ranking for hospital disaster preparedness. FAHP is used to determine weights of six main criteria (including hospital buildings, equipment, communication, transportation, personnel, flexibility) and a total of thirty-six sub-criteria regarding disaster preparedness. At the same time, FDEMATEL is applied to uncover the interdependence between criteria and sub-criteria. Finally, TOPSIS is used to obtain ranking of hospitals. To provide inputs for TOPSIS implementation, some key performance indicators are established and related data is gathered by the aid of experts from the assessed hospitals. A case study considering 4 hospitals from the Turkish healthcare sector was used to demonstrate the proposed approach. The results evidenced that

Indexed as

Disaster preparednessFAHPFDEMATELFuzzy decision makingTOPSISTurkish hospitals

Identifiers

PMID32834973
PMCPMC7335495

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.