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A Framework to Assess the Quality of Non-traditional Articles in the Field of Disaster Response and Management

Published online by Cambridge University Press:  05 July 2018

Mary Hall ,
Chris Cartwright  and
Andrew C. K. Lee
Mary Hall*
Affiliation:
School of Health and Related Research, University of Sheffield, UK
Chris Cartwright
Affiliation:
School of Health and Related Research, University of Sheffield, UK
Andrew C. K. Lee
Affiliation:
School of Health and Related Research, University of Sheffield, UK
*
Correspondence and reprint requests to Ms Mary Hall, School of Health and Related Research, University of Sheffield, 30 Regent St, Sheffield, S1 4DA, UK (e-mail: [email protected]).
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Abstract

Objective

While carrying out a scoping review of earthquake response, we found that there is no universal standardized approach for assessing the quality of disaster evidence, much of which is variable or not peer reviewed. With the lack of a framework to ascertain the value and validity of this literature, there is a danger that valuable insights may be lost. We propose a theoretical framework that may, with further validation, address this gap.

Methods

Existing frameworks – quality of reporting of meta-analyses (QUORUM), meta-analysis of observational studies in epidemiology (MOOSE), the Cochrane assessment of bias, Critical Appraisal Skills Programme (CASP) checklists, strengthening the reporting of observation studies in epidemiology (STROBE), and consensus guidelines on reports of field interventions in disasters and emergencies (CONFIDE)–were analyzed to identify key domains of quality. Supporting statements, based on these existing frameworks were developed for each domain to form an overall theoretical framework of quality. This was piloted on a data set of publications from a separate scoping review.

Results

Four domains of quality were identified: robustness, generalizability, added value, and ethics with 11 scored, supporting statements. Although 73 out of 111 papers (66%) scored below 70%, a sizeable portion (34%) scored higher.

Conclusion

Our theoretical framework presents, for debate and further validation, a method of assessing the quality of non-traditional studies and thus supporting the best available evidence approach to disaster response. (Disaster Med Public Health Preparedness. 2019;13:147–151)

Keywords

best available evidencedisaster managementquality assessment
Type
Brief Report
Information
Disaster Medicine and Public Health Preparedness , Volume 13 , Issue 2 , April 2019 , pp. 147 - 151
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2018 

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References

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