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Abstract
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This paper aims to examine accurate cross-sector assessment of true relative need in affected populations and the net human impact of disaster response programmes.
Design/methodology/approach
A psychometric assessment method using the DASS-42 is presented, and its practicality and value are shown through field studies in Afghanistan and Vanuatu.
Findings
Psychometric quality of life assessments are robust, rapidly deployable, culturally and sector-agnostic, and imminently useful for targeting disaster aid and measuring programme effectiveness.
Research limitations/implications
This research provides a baseline for further investigation into identifying which aid interventions are necessary without using technical assessments.
Practical implications
The demonstrated method is more effective in many situations than traditional technical assessments or assumption of which demographic factors place groups at risk.
Originality/value
The identified approach builds on previous work by combining psychometric indications of disaster effect with specific areas of need self-identified by the assessed communities. Its effectiveness for enabling humanitarian action at both large and small scales is also proven.
Keywords:
Resilience, Disaster response, Vulnerability, Humanitarian assistance, Developing country, Damage assessment
Type:
Research Paper
Publisher:
Emerald Publishing Limited
Received:
21 January 2017
Accepted:
31 January 2017
Acknowledgments:
This paper forms part of a special section "Invited papers from the International Conference on Building Resilience", guest edited by Dilanthi Amaratunga and Richard Haigh.
Copyright:
© Emerald Publishing Limited 2018
Published by Emerald Publishing Limited
Licensed re-use rights only
Language: en |