1921
Volume 99, Issue 6
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645

Abstract

Abstract.

In the absence of a civil registration system, a house-to-house survey is often used to estimate cause-specific mortality in low- and middle-income countries. However, house-to-house surveys are resource and time intensive. We applied a low-cost community knowledge approach to identify maternal deaths from any cause and jaundice-associated deaths among persons aged ≥ 14 years, and stillbirths and neonatal deaths in mothers with jaundice during pregnancy in five rural communities in Bangladesh. We estimated the method’s sensitivity and cost savings compared with a house-to-house survey. In the five communities with a total of 125,570 population, we identified 13 maternal deaths, 60 deaths among persons aged ≥ 14 years associated with jaundice, five neonatal deaths, and four stillbirths born to a mother with jaundice during pregnancy over the 3-year period before the survey using the community knowledge approach. The sensitivity of community knowledge method in identifying target deaths ranged from 80% for neonatal deaths to 100% for stillbirths and maternal deaths. The community knowledge approach required 36% of the staff time to undertake compared with the house-to-house survey. The community knowledge approach was less expensive but highly sensitive in identifying maternal and jaundice-associated mortality, as well as all-cause adult mortality in rural settings in Bangladesh. This method can be applied in rural settings of other low- and middle-income countries and, in conjunction with hospital-based hepatitis diagnoses, used to monitor the impact of programs to reduce the burden of cause-specific hepatitis mortality, a current World Health Organization priority.

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References

  1. Alkema L et al., United Nations Maternal Mortality Estimation Inter-Agency Group Collaborators and Technical Advisory Group, 2016. Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Maternal Mortality Estimation Inter-Agency Group. Lancet 387: 462474.
    [Google Scholar]
  2. National Institute of Population Research and Training (NIPORT), MEASURE Evaluation, and icddr,b, 2012. Bangladesh Maternal Mortality and Health Care Survey 2010. Dhaka, Bangladesh: NIPORT, MEASURE Evaluation, and icddr,b. Available at: https://www.measureevaluation.org/resources/publications/tr-12-87. Accessed April 21, 2017.
  3. United Nations, 2015. Sustainable Developement Goals. Available at: https://sustainabledevelopment.un.org/sdg3. Accessed April 17, 2017.
  4. Gurley ES, Halder AK, Streatfield PK, Sazzad HM, Huda TM, Hossain MJ, Luby SP, 2012. Estimating the burden of maternal and neonatal deaths associated with jaundice in Bangladesh: possible role of hepatitis E infection. Am J Public Health 102: 22482254.
    [Google Scholar]
  5. Aggarwal R, Jameel S, 2011. Hepatitis E. Hepatology 54: 22182226.
    [Google Scholar]
  6. Balayan MS, Andjaparidze AG, Savinskaya SS, Ketiladze ES, Braginsky DM, Savinov AP, Poleschuk VF, 1983. Evidence for a virus in non-A, non-B hepatitis transmitted via the fecal-oral route. Intervirology 20: 2331.
    [Google Scholar]
  7. The Lancet Gastroenterology Hepatology, 2016. Hepatitis E: a neglected virus. Lancet Gastroenterol Hepatol 1: 261.
    [Google Scholar]
  8. United Nations Department of Economic and Social Affairs, 2014, Principles and Recommendations for a Vital Statistics System Revision 3. New York, NY: United Nations International Children’s Emergency Fund. Available at: http://unstats.un.org/unsd/demographic/standmeth/principles/default.htm. Accessed April 25, 2017.
  9. World Health Organization, 2016. Global Health Sector Strategy on Viral Hepatitis: Towards Ending Viral Hepatitis. Available at: http://apps.who.int/iris/bitstream/10665/246177/1/WHO-HIV-2016.06-eng.pdf. Accessed July 28, 2017.
  10. WHO, 2012. Verbal Autopsy Standards: The 2012 WHO Verbal Autopsy Instrument. Available at: http://www.who.int/healthinfo/statistics/WHO_VA_2012_RC1_Instrument.pdf. Accessed April 17, 2017.
  11. Stanton C, Hobcraft J, Hill K, Kodjogbe N, Mapeta W, Munene F, Naghavi M, Rabeza V, Sisouphanthong B, Campbell O, 2001. Every death counts: measurement of maternal mortality via a census. Bull World Health Organ 79: 657664.
    [Google Scholar]
  12. Hill K, El Arifeen S, Koenig M, Al-Sabir A, Jamil K, Raggers H, 2006. How should we measure maternal mortality in the developing world? A comparison of household deaths and sibling history approaches. Bull World Health Organ 84: 173180.
    [Google Scholar]
  13. Qomariyah SN, Braunholtz D, Achadi EL, Witten KH, Pambudi ES, Anggondowati T, Latief K, Graham WJ, 2010. An option for measuring maternal mortality in developing countries: a survey using community informants. BMC Pregnancy Childbirth 10: 74.
    [Google Scholar]
  14. Barnett S, Nair N, Tripathy P, Borghi J, Rath S, Costello A, 2008. A prospective key informant surveillance system to measure maternal mortality—findings from indigenous populations in Jharkhand and Orissa, India. BMC Pregnancy Childbirth 8: 6.
    [Google Scholar]
  15. Maskey MK, Baral KP, Shah R, Shrestha BD, Lang J, Rothman KJ, 2011. Field test results of the motherhood method to measure maternal mortality. Indian J Med Res 133: 6469.
    [Google Scholar]
  16. Alam N, Townend J, 2014. The neighbourhood method for measuring differences in maternal mortality, infant mortality and other rare demographic events. PLoS One 9: e83590.
    [Google Scholar]
  17. Mir AM, Shaikh MS, Qomariyah SN, Rashida G, Khan M, Masood I, 2015. Using community informants to estimate maternal mortality in a rural district in Pakistan: a feasibility study. J Pregnancy 2015: 267923.
    [Google Scholar]
  18. Singh P, Pandey A, Aggarwal A, 2007. House-to-house survey vs. snowball technique for capturing maternal deaths in India: a search for a cost-effective method. Indian J Med Res 125: 550556.
    [Google Scholar]
  19. Roberts B, Morgan OW, Sultani MG, Nyasulu P, Rwebangila S, Myatt M, Sondorp E, Chandramohan D, Checchi F, 2010. A new method to estimate mortality in crisis-affected and resource-poor settings: validation study. Int J Epidemiol 39: 15841596.
    [Google Scholar]
  20. Siddiqui NA et al., 2016. Snowball vs. house-to-house technique for measuring annual incidence of kala-azar in the higher endemic blocks of Bihar, India: a comparison. PLoS Negl Trop Dis 10: e0004970.
    [Google Scholar]
  21. Paul RC et al., 2011. A novel low-cost approach to estimate the incidence of Japanese encephalitis in the catchment area of three hospitals in Bangladesh. Am J Trop Med Hyg 85: 379385.
    [Google Scholar]
  22. Paul RC et al., 2016. Incidence of severe diarrhoea due to Vibrio cholerae in the catchment area of six surveillance hospitals in Bangladesh. Epidemiol Infect 144: 927939.
    [Google Scholar]
  23. Homaira N et al., 2016. Respiratory viruses associated hospitalization among children aged <5 years in Bangladesh: 2010–2014. PLoS One 11: e0147982.
    [Google Scholar]
  24. Bangladesh Bureau of Statistics, 2014. Bangladesh Population and Housing Census 2011: Union Statistics. Available at: http://203.112.218.65:8008/WebTestApplication/userfiles/Image/National%20Reports/Union%20Statistics.pdf. Accessed September 15, 2018.
  25. Chen M, 1986. Poverty, gender, and work in Bangladesh. Econ Polit Wkly 21: 217222.
    [Google Scholar]
  26. Aziz K, 1979. Kinship in Bangladesh. Dhaka, Bangladesh: International Centre for Diarrhoeal Disease Research.
    [Google Scholar]
  27. World Health Organization, 1992. International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. Geneva, Switzerland: World Health Organization.
    [Google Scholar]
  28. Bangladesh Bureau of Statistics, 2015. Sample Vital Registration System-2013. Available at: http://203.112.218.65/WebTestApplication/userfiles/Image/LatestReports/MSVSB_Report_2013.pdf. Accessed July 03, 2017.
  29. Industry and Labour Wing, Bangladesh Bureau of Statistics, 2011. Bangladesh Literacy Survey, 2010. Available at: http://203.112.218.65/WebTestApplication/userfiles/Image/LatestReports/Bangladesh%20Literacy%20Surver%202010f.pdf. Accessed April 26, 2017.
  30. Bangladesh Bureau of Statistics, 2015. Sample Vital Registration System 2014. Available at: http://203.112.218.65:8008/WebTestApplication/userfiles/Image/LatestReports/MSVSBReport2014.pdf. Accessed May 19, 2018.
  31. icddr,b, 2015. Health and Demographic Surveillance System–Matlab, vol. 47, Registration of Health and Demographic Events 2013, Scientific Report No. 126. Dhaka, Bangladesh: icddr,b. Available at: http://dspace.icddrb.org/jspui/bitstream/123456789/6325/1/icddrbScientificReport-126.pdf. Accessed June 19, 2018.
  32. Beggs JJ, Haines VA, Hurlbert JS, 1996. Revisiting the rural-urban contrast: personal networks in nonmetropolitan and metropolitan settings. Rural Soc 61: 306325.
    [Google Scholar]
  33. Thomése F, Van Tilburg T, 2000. Neighbouring networks and environmental dependency. Differential effects of neighbourhood characteristics on the relative size and composition of neighbouring networks of older adults in The Netherlands. Age Soc 20: 5578.
    [Google Scholar]
  34. Entwisle B, Faust K, Rindfuss RR, Kaneda T, 2007. Networks and contexts: variation in the structure of social ties. Am J Soc 112: 14951533.
    [Google Scholar]
  35. Stanaway JD et al., 2016. The global burden of viral hepatitis from 1990 to 2013: findings from the Global Burden of Disease Study 2013. Lancet 388: 10811088.
    [Google Scholar]
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  • Received : 13 Dec 2017
  • Accepted : 14 Aug 2018
  • Published online : 08 Oct 2018
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