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Using a population-based survey approach to estimate child separation after a natural disaster: findings from post-Hurricane Haiti
  1. Lindsay Stark1,
  2. Matthew MacFarlane1,
  3. Beth L Rubenstein1,2,
  4. Gary Yu1,3,
  5. Celina Jensen4,
  6. Katharine Williamson4
  1. 1Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York City, New York, USA
  2. 2Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, New York, USA
  3. 3Rory Meyers College of Nursing, New York University, New York City, New York, USA
  4. 4Save the Children, London, UK
  1. Correspondence to Dr Lindsay Stark; ls2302{at}cumc.columbia.edu

Abstract

Introduction This study explores findings of a population-based approach to measure the prevalence of unaccompanied and separated children (UASC) during the Hurricane Matthew aftermath in Haiti.

Methods We conducted a cross-sectional survey using two-stage cluster sampling. Participants were asked to provide information on their own household composition, as well as the household composition of their closest neighbour (the Neighborhood Method). The study took place between February and March 2017 in Haiti’s Sud Department, a region severely affected by Hurricane Matthew in October 2016. 1044 primary respondents provided information about their own household, and 4165 people in the household of their closet neighbour. The primary outcome measured was the prevalence of UASC in the Sud Department following Hurricane Matthew. Secondary outcomes of interest included the characteristics of these children, including age, sex, reason for separation and current caregiver.

Results Of the 2046 children currently living in the surveyed households, 3.03% (95% CI 2.29% to 3.77%) were reported to have been separated from their normal caregiver during Hurricane Matthew. Among these 62 children, 9 were unaccompanied, and there were slightly more boys than girls (56% vs 44%, p=0.37). Of the 2060 children who lived in surveyed households when the hurricane hit, 1.12% (95% CI 0.67% to 1.57%) had since departed without their caregiver. The prevalence of separation reported for neighbours’ households was not significantly different from that in respondents’ households (p values between 0.08 and 0.29).

Conclusions This study is the first known attempt to measure the prevalence of child separation following a natural disaster. Overall, the rates of separation were relatively low. Similarities between primary and secondary reports of child separation via the Neighborhood Method indicate that this may be a viable approach to measuring UASC in certain contexts.

  • health services research
  • community-based survey
  • cross-sectional survey
  • child health

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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Footnotes

  • Handling editor Seye Abimbola

  • Contributors LS, BLR and MMacF designed the study, participated in development of data collection measures, led data interpretation and drafted the manuscript. KW obtained funding. KW and CJ supported field implementation. MMacF and CJ oversaw data collection. MMacF and GY oversaw data entry and analysis. All authors reviewed and provided input to the final manuscript. All authors had full access to all of the data (including statistical reports and tables) in the study and can take responsibility for the integrity of the data and the accuracy of the data analysis.

  • Funding The study was funded by USAID’s Office of Foreign Disaster Assistance.

  • Disclaimer The funders played no role in the study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.

  • Competing interests None declared.

  • Patient consent Not required.

  • Ethics approval This study was covered under Columbia University Medical Center’s IRB reference AAAQ6665.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement Requests for access to the data should be sent to the corresponding author/principal investigator.