Evidence map›Paper›PMID 38191369›Full record

ArticleGlobalization and health2024

Classifying disaster risk reduction strategies: conceptualizing and testing a novel integrated approach.

Mariya Dimitrova, Megan Snair

Abstract read
In one paragraph

Article in Globalization and health, 2024. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Mariya DimitrovaUniversity of Gothenburg, Gothenburg, Sweden. mariya.ro.dimitrova@gmail.com.ORCID 0000-0003-1834-8307
Megan SnairSGNL Solutions, Evergreen, Colorado, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough disaster risk reduction (DRR) addresses underlying causes and has been shown to be more cost-effective than other emergency management efforts, there is lack of systematized DRR categorization, leading to insufficient coherence in the terminology, planning, and implementation of DRR. The aim of this study was to conceptualize and test a novel integrated DRR framework that highlights the intersection between two existing classification systems.

methodsGrounded theory was used to conceptualize a novel DRR framework. Next, deductive conceptual content analysis was used to categorize interventions from the 2019 Cities100 Report into the proposed DRR framework. The term "connection" indicates that an intervention can be categorized into a particular section of the novel integrated approach. A "connection" was determined to be present when the intervention description stated an explicit connection to health and to the concept within one of the categories from the novel approach. Further descriptive statistics were used to give insight into the distribution of DRR interventions across categories and into the application of the proposed framework.

resultsThe resulting framework contains nine intersecting categories: "hazard, prospective", "hazard, corrective", "hazard, compensatory", "exposure, prospective", "exposure, corrective", "exposure, compensatory", "vulnerability, prospective", "vulnerability, corrective", and "vulnerability, compensatory". The thematic analysis elucidated trends and gaps in the types of interventions used within the 2019 Cities100 Report. For instance, exposure-prospective, exposure-compensatory, and vulnerability-compensatory were the most under-utilized strategies, accounting for only 3% of the total interventions. Further descriptive statistics showed that upper middle-income countries favored "hazard, corrective" strategies over other DRR categories while lower middle-income countries favored "exposure, corrective" over other DRR strategies. Finally, European cities had the highest percentage of DRR connections (51.39%) compared to the maximum possible DRR connections, while African cities had the lowest percentage of DRR connections (22.22%).

conclusionsThe study suggests that the proposed DRR framework could potentially be used to systematically evaluate DRR interventions for missing elements, aiding in the design of more equitable and comprehensive DRR strategies.

Indexed as

Dioctyl Sulfosuccinic AcidDisastersCitiesHumansPhenolphthaleinProspective StudiesRisk Reduction BehaviorDioctyl Sulfosuccinic AcidPhenolphthaleinCategorizationComprehensiveDisaster risk reductionDRRFramework

Identifiers

PMID38191369
PMCPMC10773016

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LicenceCC BY
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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.