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What does Access to Maternal Care Mean Among the Urban Poor? Factors Associated with Use of Appropriate Maternal Health Services in the Slum Settlements of Nairobi, Kenya

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Abstract

Objectives The study seeks to improve understanding of maternity health seeking behaviors in resource-deprived urban settings. The objective of this paper is to identify the factors which influence the choice of place of delivery among the urban poor, with a distinction between sub-standard and “appropriate” health facilities. Methods The data are from a maternal health project carried out in two slums of Nairobi, Kenya. A total of 1,927 women were interviewed, and 25 health facilities where they delivered, were assessed. Facilities were classified as either “inappropriate” or “appropriate”. Place of delivery is the dependent variable. Ordered logit models were used to quantify the effects of covariates on the choice of place of delivery, defined as a three-category ordinal variable. Results Although 70% of women reported that they delivered in a health facility, only 48% delivered in a facility with skilled attendant. Besides education and wealth, the main predictors of place of delivery included being advised during antenatal care to deliver at a health facility, pregnancy “wantedness”, and parity. The influence of health promotion (i.e., being advised during antenatal care visits) was significantly higher among the poorest women. Conclusion Interventions to improve the health of urban poor women should include improvements in the provision of, and access to, quality obstetric health services. Women should be encouraged to attend antenatal care where they can be given advice on delivery care and other pregnancy-related issues. Target groups should include poorest, less educated and higher parity women.

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References

  1. World Health Organization. (2005) The World Health Report 2005: Make every mother and child count. Geneva: World Health Organization.

  2. Ronsmans, C., & Graham, W. J. (2006). Maternal mortality: Who, when, where, and why. The Lancet, 368(9452), 1189–1200.

    Article  Google Scholar 

  3. Filippi, V., Ronsmans, C., Campbell, O. M. R., Graham, W. J., Mills, A., Borghi, J., Koblinsky, M., & Osrin, D. (2006). Maternal health in poor countries: The broader context and a call for action. The Lancet, 368(9546), 1535–1541.

    Article  Google Scholar 

  4. World Health Organization. (2004). Making Pregnancy Safer. Fact Sheet No. 276, World Health Organization, Geneva.

  5. World Health Organisation. (2004). Maternal Mortality in 2000: Estimates developed by WHO, UNICEF and UNFPA. World Health Organization.

  6. Campbell, O. M. R., & Graham, W. J. (2006). Strategies for reducing maternal mortality: Getting on with what works. The Lancet, 368(9543), 1284–1299.

    Article  Google Scholar 

  7. Mahler, H. (1987). The safe motherhood initiative: A call to action. The Lancet, 1, 668–670.

    Article  CAS  Google Scholar 

  8. Koblinsky, M., Matthews, Z., Hussein, J., Mavalankar, D., Mridha, M. K., Anwar, I., Achadi, E., Adjei, S., Padmanabhan, P., & van Lerberghe, W. (2006). Going to scale with professional skilled care. The Lancet, 368(9544), 1377–1386.

    Article  Google Scholar 

  9. AbouZahr, C., & Wardlaw, T. (2001). Maternal mortality at the end of the decade: Signs of progress? The Bulletin of the World Organization, 79, 561–568.

    CAS  Google Scholar 

  10. Starrs, A. (2006). Safe motherhood initiative: 20 years and counting. The Lancet, 368(9542), 1130–1132.

    Article  Google Scholar 

  11. United Nations. (2000). United Nations Millennium Declaration. New York.

  12. Lawn, J. E., Cousens, S., & Zupan, J. (2005). Four million neonatal deaths: When? Where? Why? The Lancet, 365, 891–900.

    Article  Google Scholar 

  13. Matrix Development Consultants. (1993). Nairobi’s informal settlements: An inventory. A Report prepared for USAID/REDSO/ESA. Nairobi: USAID.

  14. Central Bureau of Statistics. (2000). Welfare Monitoring Survey III: Government Priorities. Nairobi: Ministry of Planning and National Development.

  15. Ministry of Health [Kenya], National Council for Population and Development [Kenya], and ORC Macro. (2000). Kenya Service Provision Assessment Survey 1999. Calverton, Maryland: Ministry of Health, National Council for Population and Development, and ORC Macro.

  16. Zulu, E., Dodoo, F. N., & Ezeh, C. A. (2002). Sexual risk-taking in the slums of Nairobi, Kenya, 1993–1998. Population Studies, 56, 311–323.

    Article  PubMed  Google Scholar 

  17. Magadi, M. A., Zulu, E. M., & Brockerhoff, M. (2003). The inequality of maternal health care in urban sub-Saharan Africa in the 1990s. Population Studies, 57(3), 347–366.

    Article  PubMed  Google Scholar 

  18. Fotso, J. C. (2006). Child health inequities in developing countries: Differences across urban and rural areas. International Journal for Equity in Health, 5, 1.

    Article  Google Scholar 

  19. Tim, I. M., & Lush, L. (1995). Intra-urban differentials in child health. Health Transition Review, 5, 163–190.

    Google Scholar 

  20. Gould, W. T. S. (1998). African mortality and the new ‘urban penalty. Health and Place, 4, 171–181.

    Article  PubMed  CAS  Google Scholar 

  21. Fotso, J. C. (2007). Urban-rural differentials in child malnutrition: Trends and socioeconomic correlates in sub-Saharan Africa. Health and Place, 13, 205–223.

    Article  PubMed  Google Scholar 

  22. APHRC (African Population and Health Research Center). (2002). Population and Health Dynamics in Nairobi’s Informal Settlements. Nairobi (Kenya): African Population and Health Research Center.

  23. National Coordinating Agency for Population and Development (NCAPD), Ministry of Health (MOh), Central Bureau of Statistics (CBS), and ORC Macro: Kenya Service Provision Assessment Survey 2004. NCAPD, MoH, CBS, ORC Macro: Nairobi, 2005.

  24. Dunteman, G. H. (1989). Principal Component Analysis. Newbury Park: SAGE publication.

    Google Scholar 

  25. Hollander, D. (2004). Antenatal education helps Turkish women adopt health-promoting behavior. International Family Planning Perspectives, 30(1), 45–46.

    Google Scholar 

  26. Nutbeam, D. (2000). Health literacy as a public health goal: A challenge for contemporary health education and communication strategies into the 21st century. Health Promotion International, 15, 259–267.

    Article  Google Scholar 

  27. Peterson, B. L., & Harrell, F. E. J. (1990). Partial proportional odds models for ordinal response variables. Applied Statistics, 39(2), 205–217.

    Article  Google Scholar 

  28. Ananth, C. V., & Kleinbaum, D. G. (1997). Regression models for ordinal response: A review of methods and applications. International Journal of Epidemiology, 26(6), 1323–1333.

    Article  PubMed  CAS  Google Scholar 

  29. Williams, R. (2006). Generalized ordered logit/partial proportional odds models for ordinal dependent variables. The Stata Journal, 6(1), 58–82.

    Google Scholar 

  30. Magadi, M. A., Madise, N. J., & Rodrigues, R. N. (2000). Frequency and timing of antenatal care in Kenya: Explaining the variations between women of different communities. Social Science & Medicine, 51(4), 551–561.

    Article  CAS  Google Scholar 

  31. Onah, H. E., Ikeako, L. C., & Iloabachie, G. C. (2006). Factors associated with the use of maternity services in Enugu, southeastern Nigeria. Social Science & Medicine, 63(7), 1870–1878.

    Article  Google Scholar 

  32. Sunil, T. S., Rajaram, S., & Zottarelli, L. K. (2006). Do individual and program factors matter in the utilization of maternal care services in rural India? A theoretical approach. Social Science & Medicine, 62(8), 1943–1957.

    Article  CAS  Google Scholar 

  33. APHRC (African Population and Health Research Center) and the World Bank. (2007). The Plight of Orphans and Vulnerable Children in Nairobi Urban Slums in the Face of HIV/AIDS: APHRC and the World Bank.

  34. Graham, W. J., Bell, J. S., & Bullough, C. H. W. (2001). Can skilled attendance at delivery reduce maternal mortality in developing countries? Studies in HSO & P, 17, 97–129.

    Google Scholar 

  35. Mills, S., & Bertrand, J. T. (2005). Use of health professionals for obstetric care in Northern Ghana. Studies in Family Planning, 36(1), 45–56.

    Article  PubMed  Google Scholar 

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Acknowledgments

The authors acknowledge the financial support from the World Bank that enabled the collection of the data used in this study (Grant # 713 6587) and the design of the research questions addressed in this paper (Grant # 304 406-29). Special thanks to Dr. Sam Mills from the World Bank for his technical support and guidance during the data collection, and to Ms Rose Oronje from APHRC for reviewing earlier versions of the manuscript. The authors were funded by the Wellcome Trust grant # GR 078 530M and the Hewlett Foundation support grant # 2006–8376.

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Correspondence to Jean-Christophe Fotso.

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Fotso, JC., Ezeh, A., Madise, N. et al. What does Access to Maternal Care Mean Among the Urban Poor? Factors Associated with Use of Appropriate Maternal Health Services in the Slum Settlements of Nairobi, Kenya. Matern Child Health J 13, 130–137 (2009). https://doi.org/10.1007/s10995-008-0326-4

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