期刊论文详细信息
Conflict and Health
Implementation and utilisation of community-based mortality surveillance: a case study from Chad
Sidney Wong4  Francesco Checchi3  Kai Braker1  Sarah Bowden2 
[1] Médecins Sans Frontières (MSF), Am Köllnischen, Park 1, Berlin, 10179, Germany;School of Medicine, Cardiff University, Cochrane Medical Education Centre, Heath Park, Cardiff, CF, 14 4YU, UK;Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St, London, UK;Médecins Sans Frontières (MSF), 67–74 Saffron Hill, London, EC, 1N 8QX, UK
关键词: Community health workers;    Médecins sans frontières (MSF);    Internally displaced persons (IDPs);    Refugees;    Chad;    Post-emergency;    Conflict;    Humanitarian;    Death rate;    Surveillance;    Mortality;   
Others  :  810325
DOI  :  10.1186/1752-1505-6-11
 received in 2012-07-11, accepted in 2012-11-24,  发布年份 2012
PDF
【 摘 要 】

Background

Prospective surveillance is a recognised approach for measuring death rates in humanitarian emergencies. However, there is limited evidence on how such surveillance should optimally be implemented and on how data are actually used by agencies. This case study investigates the implementation and utilisation of mortality surveillance data by Médecins Sans Frontières (MSF) in eastern Chad. We aimed to describe and analyse the community-based mortality surveillance system, trends in mortality data and the utilisation of these data to guide MSF’s operational response.

Methods

The case study included 5 MSF sites including 2 refugee camps and 3 camps for internally displaced persons (IDPs). Data were obtained through key informant interviews and systematic review of MSF operational reports from 2004–2008.

Results

Mortality data were collected using community health workers (CHWs). Mortality generally decreased progressively. In Farchana and Breidjing refugee camps, crude death rates (CDR) decreased from 0.9 deaths per 10,000 person-days in 2004 to 0.2 in 2008 and from 0.7 to 0.1, respectively. In Gassire, Ade and Kerfi IDP camps, CDR decreased from 0.4 to 0.04, 0.3 to 0.04 and 1.0 to 0.3. Death rates among children under 5 years (U5DR) followed similar trends. CDR and U5DR crossed emergency thresholds in one site, Kerfi, where CDR rapidly rose to 2.1 and U5DR to 7.9 in July 2008 before rapidly decreasing to below emergency levels by September 2008.

Discussion

Mortality data were used regularly to monitor population health status and on two occasions as a tool for advocacy. Lessons learned included the need for improved population estimates and standardized reporting procedures for improved data quality and dissemination; the importance of a simple and flexible model for data collection; and greater investment in supervising CHWs.

Conclusions

This model of community based mortality surveillance can be adapted and used by humanitarian agencies working in complex settings. Humanitarian organisations should however endeavour to disseminate routinely collected mortality data and improve utilisation of data for operational planning and evaluation. Accurate population estimation continues to be a challenge, limiting the accuracy of mortality estimates.

【 授权许可】

   
2012 Bowden et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20140709040818982.pdf 2878KB PDF download
Figure 7. 44KB Image download
Figure 6. 45KB Image download
Figure 5. 46KB Image download
Figure 4. 125KB Image download
Figure 3. 107KB Image download
Figure 2. 46KB Image download
Figure 1. 112KB Image download
【 图 表 】

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

【 参考文献 】
  • [1]Fottrell EF, et al.: Dying to count: mortality surveillance in resource-poor settings. Global Health Action 2009., 2
  • [2]Mathers CD, Ma Fat D, Inoue M: Chalapati R, Lopez AD: Counting the dead and what they died from: an assessment of the global status of cause of death data. Bull World Health Organ 2005, 83:171-177.
  • [3]Setel PW, Macfarlane SB, Szreter S, Mikkelsen L, Jha P, Stout S, AbouZahr C: A scandal of invisibility: making everyone count by counting everyone. Lancet 2007, 370:1569.
  • [4]Galway L, Bell N, Al Shatari S, Hagopian A, Burnham G, Flaxman A, Weiss W, Rajaratnam J, Takaro T: A two-stage cluster sampling method using gridded population data, a GIS, and Google EarthTM imagery in a population-based mortality survey in Iraq. Int J Health Geogr 2012, 11:12. BioMed Central Full Text
  • [5]Mills EJ, Checchi F, Orbinski JJ, Schull MJ, Burkle FM Jr, Beyrer C, Cooper C, Hardy C, Singh S, Garfield R, Woodruff BA, Guyatt GH: Users' guides to the medical literature: how to use an article about mortality in a humanitarian emergency. Conflict and Health 2008, 2:9. BioMed Central Full Text
  • [6]Checchi F, Roberts L: Interpreting and using mortality data in humanitarian emergencies: a primer for non-epidemiologists. London, UK: Overseas Development Institute; 2005. Report number: 52
  • [7]Thieren M: Health Information Systems in humanitarian emergencies. Bull World Health Organ 2005, 83:584.
  • [8]Sphere Project: Sphere Handbook 2011: Humanitarian Charter and Minimum Standards in Disaster Response. [Online]. 2011. Available from: http://www.sphereproject.org/content/view/33/84/lang,english/ webcite. [Accessed 5/5/2011]
  • [9]Grais R, Luquero F, Grellety E, Pham H, Coghlan B, Salignon P: Learning lessons from field surveys in humanitarian contexts: a case study of field surveys conducted in North Kivu, DRC 2006–2009. Confl Health 2009, 3:8. BioMed Central Full Text
  • [10]Coughlin S: Ethical issues in epidemiologic research and public health practice. Emerg Themes Epidemiol 2006, 10:16.
  • [11]Active Learning Network for Accountability and Performance in Humanitarian Action (ALNAP): ALNAP Annual Review 2003: Humanitarian Action: Improving Monitoring to Enhance Accountability and Learning, Introduction. [Online]. Available from: http://www.alnap.org/resource/5198.aspx webcite [Accessed 5/5/2011]
  • [12]Checchi F, Roberts L: Documenting mortality in crises: what keeps us from doing better PLoS Med. 2008, 5:146.
  • [13]Doctors Without Borders (MSF): 2008 Report: Chad. [Online]. 2008. http://stage.doctorswithoutborders.org/publications/ar/report.cfm?id=3788&cat=activity-report webcite[Accessed 3/30/2011]
  • [14]Centers for Disease Control and Prevention (CDC): Updated Guidelines for Evaluating Public Health Surveillance Systems [Online]. 2001. Available from: http://www.cdc.gov/mmwr/Preview/Mmwrhtml/rr5013a1.htm webcite; [Accessed 5/16/2011]
  • [15]Centre for the Research on the Epidemiology of Disasters (CRED): Health in Complex Emergencies: Trends in 8 African Countries [Online]. 2011. CE DAT 2011; Available from: http://www.cedat.be/publications webcite. [Accessed: 02/04/2011]
  • [16]Guerrier G, Zounoun M, Delarosa O, Defourny I: Malnutrition and Mortality Patterns among Internally Displaced and Non-Displaced Population Living in a Camp, a Village or a Town in Eastern Chad. PLoS One 2009, 4:e8077.
  • [17]Working Group for Mortality Estimation in Emergencies: Wanted: studies on mortality estimation methods for humanitarian emergencies, suggestions for future research. Emerg Themes Epidemiol 2007, 4:9.
  • [18]Prudhon C, de Radigues X, Dale N, Checchi F: An algorithm to assess methodological quality of nutrition and mortality cross-sectional surveys: development and application to surveys conducted in Darfur. Sudan. Popul Health Metr 2011, 9:57. BioMed Central Full Text
  • [19]Spiegel PB, Sheik M, Woodruff BA, Burnham G: The accuracy of mortality reporting in displaced persons camps during the post-emergency phase. Disasters 2001, 25:172-180.
  • [20]Caleo GM, Penda Sy A, Balandine S, Polonsky J, Palma PP, Grais RF, Checchi F: Sentinel site community surveillance of mortality and nutritional status in south western Central African Republic. Popul Health Metr 2012, 10:18. BioMed Central Full Text
  • [21]Hook EB, Regal RR: Capture-Recapture Methods in Epidemiology: Methods and Limitations. Epidemiol Rev 1995, 17:243.
  • [22]Roberts B, Morgan OW, Sultani MG, Nyasulu P, Rwebangila S, Myatt M, Sondorp E, Chandramohan D, Checchi F: A new method to estimate mortality in crisis-affected and resource-poor settings: validation study. Int J Epidemiol 2010, 39:1584-1596.
  • [23]Carter KL, Williams G, Tallo V, Sanvictores D, Madera H, Riley I: Capture-recapture analysis of all-cause mortality data in Bohol. Philippines. Popul Health Metr 2011, 9:9. BioMed Central Full Text
  • [24]United Nations High Commissioner for Refugees (UNHCR): 2004 UNHCR statistical yearbook: Chad [Online]. 2006. Available from http://www.unhcr.org/pages/49c3646c4d6.html webcite; [Accessed 2/03/2011]
  • [25]United Nations High Commissioner for Refugees (UNHCR): 2005 UNHCR Statistical Yearbook: Chad [Online]. 2007. Available from http://www.unhcr.org/pages/49c3646c4d6.html webcite; [Accessed 2/03/2011]
  • [26]Toole MJ, Waldman RJ: The public health aspects of complex emergencies and refugee situations. Annu Rev Publ Health 1997, 18:283-312.
  • [27]Baiden F, Hodgson A, Binka FN: WHO Demographic surveillance sites and emerging challenges in international health. Bull World Health Organ 2006, 84:163.
  文献评价指标  
  下载次数:54次 浏览次数:32次