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Identifying and prioritizing resilient health system units to tackle the COVID-19 pandemic.

作者信息

Adabavazeh Nazila, Nikbakht Mehrdad, Tirkolaee Erfan Babaee

机构信息

Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.

Department of Industrial Engineering, Istinye University, Istanbul, Turkey.

出版信息

Socioecon Plann Sci. 2023 Feb;85:101452. doi: 10.1016/j.seps.2022.101452. Epub 2022 Oct 19.


DOI:10.1016/j.seps.2022.101452
PMID:36275860
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9578973/
Abstract

Since human health greatly depends on a healthy and risk-free social environment, it is very important to have a concept to focus on improving epidemiology capacity and potential along with economic perspectives as a very influential factor in the future of societies. Through responsible behavior during an epidemic crisis, the health system units can be utilized as a suitable platform for sustainable development. This study employs the Best-Worst Method (BWM) in order to develop a system for identifying and ranking health system units with understanding the nature of the epidemic to help the World Health Organization (WHO) in recognizing the capabilities of resilient health system units. The purpose of this study is to identify and prioritize the resilient health system units for dealing with Coronavirus. The statistical population includes 215 health system units in the world and the opinions of twenty medical experts are also utilized as an informative sample to localize the conceptual model of the study and answer the research questionnaires. The resilient health system units of the world are identified and prioritized based on the statistics of "", "", "", "", "", "" and "". The present descriptive cross-sectional study is conducted on Worldometer data of COVID-19 during the period of 17 July 2020 at 8:33 GMT. According to the results, the factors of "", "", "", "", "", "" and "" are among the most effective ones, respectively, in order to have a successful and optimal performance during a crisis. The attention of health system units to the identified important factors can improve the performance of epidemiology system. The WHO should pay more attention to low-resilience health system units in terms of promoting the health culture in crisis management of common viruses. Considering the importance of providing health services as well as their significant effect on the efficiency of the world health system, especially in critical situations, resilience analysis with the possibility of comparison and ranking can be an important step to continuously improve the performance of health system units.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/a0df5a7fa0c2/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/dc62132a39fd/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/721b94b0d89e/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/16b52d849fba/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/b5f99f6d38ec/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/a5310d163b0a/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/38ef572db2ff/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/a0df5a7fa0c2/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/dc62132a39fd/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/721b94b0d89e/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/16b52d849fba/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/b5f99f6d38ec/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/a5310d163b0a/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/38ef572db2ff/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/9578973/a0df5a7fa0c2/gr7_lrg.jpg

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引用本文的文献

[1]
Challenges in Managing Patients During Biological Emergencies in the Iranian Health System: A Qualitative Study.

Bull Emerg Trauma. 2025

[2]
Evaluation of the treatment options for COVID-19 patients using generalized hesitant fuzzy- multi criteria decision making techniques.

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[3]
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Socioecon Plann Sci. 2023-6

[4]
Predicting and explaining absenteeism risk in hospital patients before and during COVID-19.

Socioecon Plann Sci. 2023-6

本文引用的文献

[1]
The applications of MCDM methods in COVID-19 pandemic: A state of the art review.

Appl Soft Comput. 2022-9

[2]
Quality of life and factors associated with a good quality of life among diabetes mellitus patients in northern Thailand.

Health Qual Life Outcomes. 2022-5-20

[3]
An extended multi-criteria group decision-making method with psychological factors and bidirectional influence relation for emergency medical supplier selection.

Expert Syst Appl. 2022-9-15

[4]
Resilient performance in healthcare during the COVID-19 pandemic (ResCOV): study protocol for a multilevel grounded theory study on adaptations, working conditions, ethics and patient safety.

BMJ Open. 2021-12-8

[5]
Duty to Plan: Health Care, Crisis Standards of Care, and Novel Coronavirus SARS-CoV-2.

NAM Perspect. 2020-3-5

[6]
Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method.

Appl Soft Comput. 2021-10

[7]
Data-driven test strategy for COVID-19 using machine learning: A study in Lahore, Pakistan.

Socioecon Plann Sci. 2022-3

[8]
The imprinting effect of SARS experience on the fear of COVID-19: The role of AI and big data.

Socioecon Plann Sci. 2022-3

[9]
Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessment.

J Infect Public Health. 2021-6

[10]
Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy-TOPSIS methods.

Artif Intell Med. 2021-1

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