Evidence map›Paper›PMID 40665397›Full record

ArticleJournal of health, population, and nutrition2025

Developing a conceptual framework for relief goods distribution during disasters: a multi-method qualitative study.

Ramin Rezapour, Taher Doroudi, Saber Azami-Aghdash, Dariush Jafarzadeh, Naser Derakhshani

Abstract read
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Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ramin RezapourTabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Taher DoroudiResearch Center for Health Management in Mass Gathering, Red Crescent Society of the Islamic Republic of Iran, Tehran, Iran.
Saber Azami-AghdashMedical Philosophy and History Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Dariush JafarzadehResearch Center for Health Management in Mass Gathering, Red Crescent Society of the Islamic Republic of Iran, Tehran, Iran. djafarzadeh71@gmail.com.
Naser DerakhshaniHealth Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran. derakhshani.mhc@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNatural disasters and crises persistently affect human societies, often resulting in substantial loss of life and property. A major challenge during such events is the rapid and efficient distribution of relief goods to affected populations. This study aims to develop a Relief Goods Distribution Conceptual Framework (RGDCF) during disasters in Iran.

methodsThis study was conducted in four phases. In the first phase, a comprehensive literature review was conducted to identify challenges in the distribution of relief goods and strategies for improvement. The second phase involved semi-structured interviews with national experts and stakeholders to examine the characteristics and requirements of an appropriate distribution framework for relief goods. In the third phase, drawing on the findings from the previous phases and expert panel discussions, an initial RGDCF was developed. Finally, in the fourth phase, the Delphi technique was employed to validate the proposed framework.

resultsA review of 18 studies identified key challenges in the distribution of relief goods, including lack of coordination among responsible authorities, needs assessment problems, damage to infrastructure, financial challenges and management of public donations, lack of local community participation, weakness in disaster preparedness, and shortage of trained personnel. The RGDCF was developed, based on four core principles: pre-disaster preparedness, unified command and management, intersectoral coordination, and community engagement, with 15 operational requirements aimed at improving distribution efficiency and equity. The developed framework received an acceptable score in terms of its feasibility, alignment with higher-level documents, stakeholder acceptance, and flexibility.

conclusionThe RGDCF offers a comprehensive approach to addressing the challenges in relief goods distribution, ensuring more efficient and equitable humanitarian response. Its feasibility, alignment with existing policies, and stakeholder acceptance highlight its potential for practical implementation, as well as providing a structured basis for monitoring, evaluating, and improving relief operations in disaster management.

Indexed as

Disaster PlanningDisastersRelief WorkDelphi TechniqueHumansIranQualitative ResearchChallengesConceptual frameworkDisasterRelief goods distributionSolutions

Identifiers

PMID40665397
PMCPMC12261608

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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.