Literature DB >> 19050429

Implementation of evidence-based humanitarian programs in military-led missions: part I. Qualitative gap analysis of current military and international aid programs.

Erik J Reaves1, Kenneth W Schor, Frederick M Burkle.   

Abstract

BACKGROUND: A recent Department of Defense instruction mandates country-specific assessments, identification of interventions, and development of guidance for Department of Defense to plan, train, and prepare for the provision of humanitarian assistance in stability operations. It also directs the use of outcome-based measures of effectiveness and the establishment of processes facilitating transparency of information. Whereas this would align military-led projects closer to the standards of the international aid community, how this process will be developed and implemented within the military has not yet been determined.
METHODS: To begin developing an evidence-based program for military-led humanitarian aid, we conducted a qualitative gap analysis comparing information from a Web search of Department of Defense medical after-action reports, lessons learned, and expert interviews with the internationally accepted standards in humanitarian assistance impact assessment.
RESULTS: There is a major gap in the ability of the Department of Defense to assess the impact of humanitarian assistance in stability operations compared with international development standards. Of the 1000 Department of Defense after-action reports and lessons learned reviewed, only 7 (0.7%) reports refer to, but do not discuss, impact assessment or outcome-based measures of effectiveness.
CONCLUSIONS: This investigation shows that the Department of Defense humanitarian assistance operations are, historically, recorded without documentation using quantifiable health data identifying which aid activities contributed directly to desired outcomes or favorable public opinion, and rarely are analyzed for effectiveness. As humanitarian assistance operations assume an ever greater role in US military strategy, it is imperative that we investigate useful impact assessment models to meet mission directives and, more important, to maximize coordination in a necessarily integrated and cooperative development environment. These findings provide baseline knowledge for the implementation of an evidence-based impact assessment process to validate future Department of Defense humanitarian assistance operations.

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Year:  2008        PMID: 19050429     DOI: 10.1097/DMP.0b013e31818d3c80

Source DB:  PubMed          Journal:  Disaster Med Public Health Prep        ISSN: 1935-7893            Impact factor:   1.385


  4 in total

1.  Needs, acceptability, and value of humanitarian medical assistance in remote Peruvian Amazon riverine communities.

Authors:  Juan F Sanchez; Eric S Halsey; Angela M Bayer; Martin Beltran; Hugo R Razuri; Daniel E Velasquez; Vitaliano A Cama; Paul C F Graf; Antonio M Quispe; Ryan C Maves; Joel M Montgomery; John W Sanders; Andres G Lescano
Journal:  Am J Trop Med Hyg       Date:  2015-04-06       Impact factor: 2.345

Review 2.  Short-term medical service trips: a systematic review of the evidence.

Authors:  Kevin J Sykes
Journal:  Am J Public Health       Date:  2014-05-15       Impact factor: 9.308

3.  A Comprehensive Framework for International Medical Programs: A 2017 consensus statement from the American College of Academic International Medicine.

Authors:  Manish Garg; Gregory L Peck; Bonnie Arquilla; Andrew C Miller; Sari E Soghoian; Harry L Anderson Iii; Christina Bloem; Michael S Firstenberg; Sagar C Galwankar; Weidun Alan Guo; Ricardo Izurieta; Elizabeth Krebs; Bhakti Hansoti; Sudip Nanda; Chinenye O Nwachuku; Benedict Nwomeh; Lorenzo Paladino; Thomas J Papadimos; Richard P Sharpe; Mamta Swaroop; Stanislaw P Stawicki
Journal:  Int J Crit Illn Inj Sci       Date:  2017 Oct-Dec

4.  Active-duty physicians' perceptions and satisfaction with humanitarian assistance and disaster relief missions: implications for the field.

Authors:  Geoffrey J Oravec; Anthony R Artino; Patrick W Hickey
Journal:  PLoS One       Date:  2013-03-26       Impact factor: 3.240

  4 in total

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