Evidence map›Paper›PMID 40468227›Full record

ArticleBMC public health2025

Exploring the influencing factors affecting the operational effectiveness of public health emergency response mechanism: a DEMATEL-ISM-MICMAC mixed methods study.

Qunkai Wang, Nan Meng, Yunxia Ma, Yanping Wang, Kexin Wang, Ruiqian Zhuge, Yuxuan Wang, Peng Wang, Huan Liu, Qunhong Wu

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

10 authors.

Qunkai Wang *School of Health Management, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China.
Nan Meng *School of Health Management, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China.
Yunxia Ma *School of Health Management, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China.
Yanping WangSchool of Health Management, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China.
Kexin WangSchool of Health Management, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China.
Ruiqian ZhugeSchool of Health Management, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China.
Yuxuan WangSchool of Health Management, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China.
Peng WangSchool of Health Management, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China.
Huan LiuSchool of Health Management, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China. liuhuan00813@163.com.
Qunhong WuSchool of Health Management, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China. wuqunhong@163.com.

Funding

National Natural Science Foundation of China 72361137562
6 · The paper itself

Abstract

objectivesThis study aims to explore key factors and identify root factors influencing the Public Health Emergency Response Mechanism (PHERM) to ensure timely and effective responses to emerging infectious disease crises and enhance the efficiency of emergency operations.

methodsWe employed a mixed-method approach using DEMATEL-ISM-MICMAC to analyse the interrelationships among factors affecting PHERM. The DEMATEL method established the hierarchical structure of the factors, ISM determined the relational paths, and MICMAC further characterized the attributes of the factors.

resultsThe analysis revealed that PHERM's influencing factors are organized into four levels, with the conscientiousness of emergency leadership action (X15) identified as the most profound and influential factor, exhibiting a strong causality with a high driving force. The decision-making and command feedback capability (X8) emerged as a significant outcome factor in the transition layer, highly influenced by other factors and with the highest node degree.

conclusionsThe proactive emergency response awareness and actions of leaders is crucial for the mechanism's smooth and efficient operation. It is essential to prioritise ideological education and simulation training to instill such awareness. Moreover, proactive preparation for factors associated with decision-making and command capabilities is necessary to mitigate potential hesitation and panic during actual epidemic prevention, thereby enhancing the operational effectiveness of PHERM.

Indexed as

Disaster PlanningPublic HealthHumansLeadershipHealth emergenciesInfluencing factorsMixed methods

Identifiers

PMID40468227
PMCPMC12135300

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.