International Journal of Epidemiology
Volume 39, Issue 6, 2010, Pages 1584-1596

A new method to estimate mortality in crisis-affected and resource-poor settings: Validation study (Article) (Open Access)

Roberts B. , Morgan O.W. , Sultani M.G. , Nyasulu P. , Rwebangila S. , Myatt M. , Sondorp E. , Chandramohan D. , Checchi F.*
  • a Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
  • b United States Centers for Disease Control and Prevention, Atlanta, GA, United States
  • c Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
  • d Médecins Sans Frontières France, Malawi Programme, Chiradzulu, Malawi
  • e United Nations High Commissioner for Refugees, Tanzania Office, Kigoma, Tanzania
  • f Brixton Health, Plymouth, United Kingdom
  • g Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
  • h Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
  • i Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom

Abstract

Background: Data on mortality rates are crucial to guide health interventions in crisis-affected and resource-poor settings. The methods currently available to collect mortality data in such settings feature important methodological limitations. We developed and validated a new method to provide near real-time mortality estimates in such settings. Methods: We selected four study sites: Kabul, Afghanistan; Mae La refugee camp, Thailand; Chiradzulu District, Malawi; and Lugufu and Mtabila refugee camps, Tanzania. We recorded information about all deaths in a 60-day period by asking key community informants and decedents' next of kin to refer interviewers to bereaved households. We used the total number of deaths and population estimates to calculate mortality rates for 60- and 30-day periods. For validation we compared these rates with a best estimate of mortality using capture-recapture analysis with two further independent lists of deaths. Results: The population covered by the new method was 76 476 persons in Kabul, 43 794 in Mae La camp, 54 418 in Chiradzulu District and 80 136 in the Tanzania camps. The informant method showed moderate sensitivity (55.0% in Kabul, 64.0% in Mae La, 72.5% in Chiradzulu and 67.7% in Tanzania), but performed better than the active surveillance system in the Tanzania refugee camps. Conclusions: The informant method currently features moderate sensitivity for accurately assessing mortality, but warrants further development, particularly considering its advantages over current options (ease of implementation and analysis and near-real estimates of mortality rates). Strategies should be tested to improve the performance of the informant method. Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2010; all rights reserved.

Author Keywords

Surveillance Crisis Survey Death rate Humanitarian Validation Capture-recapture Mortality

Index Keywords

model validation resource depletion capture method Chiradzulu Afghanistan refugee Registries methodology health risk poverty Thailand Population Surveillance human Developing Countries Refugees validation study middle aged priority journal Aged sensitivity analysis Young Adult Humans family Adolescent Infant, Newborn population estimation Aged, 80 and over Infant Child, Preschool population research Article Questionnaires adult Tanzania age distribution Kabul [Afghanistan] Mental Recall Focus Groups cause of death mortality crisis management Malawi Data Collection Child

Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649778926&doi=10.1093%2fije%2fdyq188&partnerID=40&md5=d355da44ee4de1645ffd9834cb7f1104

DOI: 10.1093/ije/dyq188
ISSN: 03005771
Cited by: 15
Original Language: English