A quantitative study on the determinants of utilization of skilled birth attendance, Bamba division, Kilifi

Authors

  • Sophia W. Mwinyikione Department of Public Health, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
  • Yeri Kombe Kenya Medical Research Institute, Nairobi, Kenya
  • Drusilla Makworo Jomo Kenyatta Unioversity of Agriculture and Technology-College of Health Sciences, Nairobi, Kenya

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20161618

Keywords:

Maternal mortality ratio, Skilled birth attendance, Unskilled birth attendance, Maternal health

Abstract

Background: Improving maternal health by three quarters is the fifth millennium development goal that is set to be achieved through the provision of skilled attendance during delivery. However, the proportion of Skilled Birth Attendance (SBA) is generally poor in most developing countries, including Kenya with an estimate of 43%. This study aimed at determining the factors associated with the utilization of SBA among women 18 to 49 years of age, who had delivered within the last 12 months.

Methods: This study was a population based cross sectional study conducted in Bamba division. It used a structured questionnaire where random selection of households was done. Logistic regression of multiple factors was done to identify the determinants of SBA.

Results: A total of 286 women participated in the survey and 47.2% of them sought skilled care in the health facilities while 52.8% delivered at home under unskilled care. The questionnaire identified factors such as distance (OR=73.195, 95% CI=5.993-873.936), pregnancy problems (OR=6.389, 95% CI=2.057-19.844), mosquito net use (OR=6.389, 95% CI=2.057-19.844) and prolonged labour (OR=110.671, 95% CI=24.618-497.523) to be highly significant with SBA.

Conclusions: This study confirmed that the proportion of women seeking SBA was still low. Long distance to the health facility was the most significant predictor of SBA. Therefore more effort should be put in addressing long distances to the health facilities in order to ensure that SBA is embraced by women.

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References

WHO, World Bank, UNICEF, United Nations Population Fund. Trends in maternal mortality: WHO, UNICEF, UNFPA and The World Bank estimates (1990 to 2010), Geneva: World Health Organization; 2012.

Kenya National Bureau of Statistics (KNBS) and ICF Macro. Kenya demographic and health survey 2008/2009. Calverton, Maryland; 2010.

National Roadmap. For accelerating the attainment of the MDG’s related to maternal and new-born health in Kenya. 2010.

Adegoke AA, Broek VDN. Skilled attendance- lessons learnt. BJOG. 2009;116(Suppl 1):33-40.

World Health Organization. Maternal mortality in 2005: estimates developed by WHO, UNICEF, UNFPA, and the World Bank. Geneve; 2008.

Mwabu G, Mwanzia J, Liambila W. User charges in government health facilities in Kenya: effect on attendance and revenue. Health Policy Plan. 1995;10(2):164-70.

Hutton G. Is the jury still out on the impact of user fees in Africa? A review of the evidence from selected countries on user fees and determinants of health service utilization. East Africa Medical Journal. 2004;81(suppl 4):545-60.

Johnson A, Goss A, Beckerman J, Castro A. Hidden costs: the direct and indirect impact of user fees on access to malaria treatment and primary care in Mali. Soc Sci Med. 2012;75(10):1786-92.

Bosu W, Bell JS, Klemesu MA, Tornui JA. Effect of delivery care user fee exemption policy on institutional maternal deaths in the central and volta regions of Ghana. Ghana Medical Journal. 2007; 41(3):118-24.

Mpembeni RN, Killewo JZ, Leshabari MT, Massawe SN, Jahn A, et al. Use pattern of maternal health services and determinants of skilled care during delivery in Southern Tanzania: implications for achievement of MDG-5 targets. BMC Pregnancy Childbirth. 2007;7,29.

Allegri MD, Ridde V, Louis VR, Sarker M, Tiendrebeogo J, Ye M, et al. Determinants of utilization of maternal care services after the reduction of user fees: a case study from rural Burkina Faso. Health Policy. 2011;99(3):210-8.

Griffiths P, Stephenson R. Understanding users perspectives of barriers to maternal healthcare use in Maharashtra, India. J Biosoc Sci. 2001;33(3):339-59.

Ridde V, Robert E, Messen B. A literature review of the disruptive effects of user fee exemption policies on health systems. BMC Public Health Policy. 2012;12:289.

Kenya national bureau of statistics. Kenya population and housing census 2009-population distribution by age, sex, and administrative units. 2010;1c.

National coordinating agency for population and development kilifi district strategic plan 2005-2010-for implementation of the national population policy for sustainable development. 2005.

Idris SH, Gwarzo UMD, Shehu AU. Determinants of place of delivery among women in a semi-urban settlement in Zaria, Northern Nigeria. Annals of African Medicine. 2006;5(2):68-72.

Lwelamira J, Safari A. Choice of place for childbirth: prevalence and determinants of health facility delivery among women in Bahi district, Central Tanzania. Asian J Med Sci. 2012;4(3):105-12.

Mrisho MM, Schellenberg JA, Mushi AK, Obrist BM, Mshinda H, Tanner M, et al. Factors affecting home delivery in rural Tanzania. Tropical Medicine and International Health. 2007;12(7);862-72.

Eijk AMV, Bles HM, Odhiambo F, Ayisi JG, Blokland IE, Rosen DH, et al. Use of antenatal services and delivery care among women in rural Western Kenya: a community based survey. Reprod Health, 2006;3:2.

Wanjira C, Mwangi M, Mathenge E, Mbugua G, Ng anga Z. Delivery practices and associated factors among mothers seeking child welfare services in selected health facilities in Nyandarua South District, Kenya. BMC Public Health. 2011;11:360.

World Health Organization. The global health observatory. http//www.who.int/gho/en-WHO 2015 Accessed on 16th October 2015.

Kenya National Bureau of Statistics (KNBS), and ICF Macro. Kenya demographic and health survey 2014. Calverton, Maryland. 2015;127-9.

Chimanker DA, Sahoo H. Factors influencing the utilization of maternal health care services in Uttarakhard. Ethano Med. 2011;5(3):209-16.

Mekonnen MG, Yalew KN, Umer JY, Melesse M. Determinants of delivery practices among Afar pastoralists of Ethiopia. Pan Afr Med J. 2012;13 (Suppl 1):17.

Mengesha ZB, Biks GA, Ayele TA, Tessema GA, Koye DN. Determinants of skilled attendance for delivery in northwest ethiopia: a community based nested case control study. BMC Public Health. 2013;13:130.

Tsegay Y, Gebrehiwot T, Goicolea I, Edin K, Lemma H, Sebastian MS. Determinants of antenatal care and delivery care utilization in tigray region, ethiopia: a cross sectional study. Int J Equity Health. 2013;12:30.

Tann CJ, Kizza M, Morrison L, Mabey D, Muwanga M, Grosskurth H, et al. Use of antenatal services and delivery care in Entebbe, Uganda; a community survey. BMC Pregnancy and Childbirth. 2007;7:23.

Dahal RK. Factors influencing the choice of place of delivery among women in eastern rural nepal. IJMCH. 2013;1(2):30-7.

Kitui J, Lewis S, Davey G. Factors influencing place of delivery for women in kenya:an analysis of the kenya demographic and health survey, 2008-2009. BMC Pregnancy Childbirth. 2013:13-40.

Ochako R, Fotso JC, Ikamari L, Khasakhala A. Utilization of maternal health services among young women in kenya: insights from the kenya demographic and health survey 2003. BMC Pregnancy Childbirth. 2011;11:1.

Choulagai B, Onta S, Subedi N, Mehata S, Bhandari GP, Poudyal A, et al. Barriers to using skilled birth attendant’s services in mid and far western nepal: a cross sectional study. BMC Int Health Hum Rights. 2013;13:49.

Raghupathy S. Education and use of maternal health care in Thailand. Soc Sci Med. 1996;43(4):459-71.

Magadi M, Diamond I, Rodrigues RN. The determinants of delivery care in Kenya. Soc Biol. 2000;47(3-4):164-88.

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Published

2017-01-05

How to Cite

Mwinyikione, S. W., Kombe, Y., & Makworo, D. (2017). A quantitative study on the determinants of utilization of skilled birth attendance, Bamba division, Kilifi. International Journal Of Community Medicine And Public Health, 3(6), 1495–1502. https://doi.org/10.18203/2394-6040.ijcmph20161618

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Original Research Articles