Literature DB >> 24601932

Challenges in humanitarian information management and exchange: evidence from Haiti.

Nezih Altay1, Melissa Labonte.   

Abstract

There is a growing recognition of the critical role information management can play in shaping effective humanitarian response, coordination and decision-making. Quality information, reaching more humanitarian actors, will result in better coordination and better decision-making, thus improving the response to beneficiaries as well as accountability to donors. The humanitarian response to the 2010 Haiti earthquake marked a watershed moment for humanitarian information management. Yet the fragmented nature of the response and the use of hierarchical models of information management, along with other factors, have led some observers to label the Haiti response a failure. Using an analytical framework often found in humanitarian emergencies, this study analyses challenges to information flow in the Haiti case and the implications for effective humanitarian response. It concludes by offering possible paths for overcoming such challenges, and for restoring the value and utility of humanitarian information management and exchange in humanitarian relief settings.
© 2014 The Author(s). Disasters © Overseas Development Institute, 2014.

Keywords:  Haiti; clusters; coordination; decision-making; evaluation; humanitarian; information; response

Mesh:

Year:  2014        PMID: 24601932     DOI: 10.1111/disa.12052

Source DB:  PubMed          Journal:  Disasters        ISSN: 0361-3666


  12 in total

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7.  Assessing barriers, opportunities and future directions in health information sharing in humanitarian contexts: a mixed-method study.

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8.  Stakeholders' experiences with the evidence aid website to support 'real-time' use of research evidence to inform decision-making in crisis zones: a user testing study.

Authors:  Ahmad Firas Khalid; John N Lavis; Fadi El-Jardali; Meredith Vanstone
Journal:  Health Res Policy Syst       Date:  2019-12-30

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Journal:  BMJ Open       Date:  2020-11-03       Impact factor: 2.692

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