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Assessing the Resilience of the Supply Chain of Medicines and Consumables during Disasters Based on the World Economic Forum Framework: A Case of Iran

Published online by Cambridge University Press:  19 September 2025

Ramin Ravangard
Affiliation:
Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences , Shiraz, Iran
Abolfazl Raeyat Mohtashami*
Affiliation:
Student Research Committee, School of Health Management and Information Sciences, Shiraz University of Medical Sciences , Shiraz, Iran
Ahmad Allahyari Bouzanjani
Affiliation:
Ferdowsi University of Mashhad , College of Economics and Administrative Sciences, Management Department, Mashhad, Iran
Narges Khatoon Siadat
Affiliation:
Student Research Committee, School of Health Management and Information Sciences, Shiraz University of Medical Sciences , Shiraz, Iran
Milad Ahmadi Marzaleh*
Affiliation:
Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences , Shiraz, Iran
*
Corresponding authors: Abolfazl Raeyat Mohtashami and Milad Ahmadi Marzaleh; Emails: armohtashami1@gmail.com; miladahmadimarzaleh@yahoo.com
Corresponding authors: Abolfazl Raeyat Mohtashami and Milad Ahmadi Marzaleh; Emails: armohtashami1@gmail.com; miladahmadimarzaleh@yahoo.com
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Abstract

Objectives

Pharmacies play a critical role in healthcare systems, especially during emergencies. Disruptions in the supply of medicines and consumables pose significant challenges in disaster response and recovery. Given the complexity and socio-political sensitivity of the resilient medicine supply chain, this study aimed to assess the resilience of the supply chain of medicines and consumables during disasters in Iran based on the World Economic Forum framework.

Methods

A cross-sectional, descriptive-analytical study was conducted using a validated questionnaire. Data were collected from 224 pharmacies in Shiraz city using the census method for hospital-based pharmacies and cluster and simple random sampling methods for city-level pharmacies. The collected data were analyzed and modeled using SPSS v.21 and Smart PLS v.3 software.

Results

The results confirmed the validity and reliability of the questionnaire developed for assessing the resilience of the supply chain of medicines and consumables during disasters based on the World Economic Forum framework. The results also demonstrated that participation (41.04), policy (30.22), information technology (26.72), and strategy (23.46) directly and positively contributed, respectively, to enhancing the resilience of the medicines and consumables supply chain during disasters.

Conclusions

According to the results, the medicines and consumables supply chain resilience in Iran can be improved by facilitating international partnerships, developing better relationships with suppliers, moving toward digital and information technology-based supply chains, having a strategic plan for the medicines and consumables supply chain in disasters, and developing coordinating policies and effective strategies.

Information

Type
Original Research
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc
Figure 0

Table 1. Quantitative assessment of the content validity of the disaster resilient supply chain questionnaire

Figure 1

Table 2. Cronbach’s alpha related to the axes of the disaster-resilient supply chain questionnaire

Figure 2

Table 3. Characteristics of the studied pharmacies

Figure 3

Table 4. The results of the One-Sample Kolmogorov-Smirnov test to test the normality of the study variables

Figure 4

Table 5. Construct reliability and validity

Figure 5

Figure 1. AVE values and factor loadings of the model.

Figure 6

Table 6. Fornell-Larcker criterion

Figure 7

Table 7. Construct cross-validated communality

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Table 8. Total effects

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Figure 2. Values of path coefficients to evaluate the structural model.

Figure 10

Table 9. f Square

Figure 11

Table 10. Construct cross-validated redundancy

Figure 12

Figure 3. Redundancy index values to evaluate the structural fit of the research model.

Figure 13

Table 11. Fit summary