Evidence map›Paper›PMID 41316289›Full record

ArticleBMC health services research2025

Prioritization of hospital resilience indicators for disaster preparedness: a fuzzy Delphi-AHP approach in Iranian public hospitals.

Mojtaba Nakhaeipour, Saeid Yazdanirad, Hossein Ebrahimi, Masoud Rismanchian, Seyed Mahdi Mousavi

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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Mojtaba NakhaeipourStudent Research Committee, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Saeid YazdaniradDepartment of Occupational Health and Safety Engineering, School of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Hossein EbrahimiStudent Research Committee, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Masoud RismanchianDepartment of Occupational Health and Safety Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran. rismanchian@hlth.mui.ac.ir.
Seyed Mahdi MousaviStudent Research Committee, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran. mahdi.mousavi90@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitals play a pivotal role in response to disasters. It must possess high resilience to maintain functionality during geophysical and environmental hazards. Identification and prioritization of key resilience indicators is essential for enhancing hospital preparedness, especially in disaster-prone regions like Iran.

objectiveThis study aimed to systematically identify and prioritize hospital resilience indicators in Iranian governmental hospitals using experts' opinion and multi-criteria decision-making techniques.

methodsA descriptive-analytical cross-sectional study was conducted in 2024, involving 50 experts, including hospital supervisors, HSE officers, technical/facilities managers, and administrators with diverse educational backgrounds (Bachelor's to PhD), from five hospitals in Isfahan Province. Resilience indicators were identified through literature review and expert interview. The fuzzy Delphi method was applied to compute weights of relevant indicators, and the Analytic Hierarchy Process (AHP) was used to prioritize these indicators.

resultsOut of 60 initial indicators, 48 achieved consensuses higher than 70%. Structural resilience was identified as the most critical domain (weight = 0.2304), followed by Functional/Organizational (0.1602) and Non-Structural Resilience (0.1301). Key high-weighted indicators also included seismic resistance (0.0840), comprehensive disaster management plans (0.0504), and safety of medical equipment (0.0510).

conclusionThe integrated fuzzy Delphi and AHP approach prioritized hospital resilience indicators tailored to Iran's disaster context. These findings provide a framework to guide resource allocation and policy development to strengthen hospital disaster preparedness and response capacity, particularly in Isfahan's context, with potential applicability to similar settings.

Indexed as

Disaster PlanningHospitals, PublicCross-Sectional StudiesDelphi TechniqueFuzzy LogicHumansIranAHPDelphiDisasterDisaster preparednessHospitalResilience

Identifiers

PMID41316289
PMCPMC12664254

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