Vol. 7 (03) pp. 515-528 DOI: 10.21474/IJAR01/8665

HEALTH FACILITY FACTORS AND INDIVIDUAL FACTORS AS PREDICTORS OF UPTAKE OF SKILLED BIRTH SERVICES IN LURAMBI SUB COUNTY, KENYA.

  • Department of Clinical nursing and health informatics, MasindeMuliro University of science and technology.
  • Department of Reproductive Health, MasindeMuliro University of science and technology.
12 Downloads 121 Views
Crossref

Abstract

Introduction: Factors determining maternity services utilization are diverse and yet interrelated. They can be grouped into five main factors namely socio cultural factors, Physical access, and economic access, past obstetric experience and perceived benefit or quality of care. Objective: To determine predictors of uptake of skilled birth services in Lurambi sub-County. Methodology: A descriptive cross-sectional study adopting Quantitative methods. The study was carried out in Kakamega County and Sampling frame consisting of all the 17 government facilities were used. A multistage stratified sampling strategy was used and Probability sampling technique of systematic sampling applied to select women seeking health facility delivery services in Lurambi sub county government facilities (n = 200). Data was analyzed through descriptive statistics, chi-square test and logistic regression. Results: The majority of the women were aged 20-35 years (70.5%) and 66% were married. About 40% had 1-2 children and majority had attained secondary education at 48.5% as the highest educational level. A majority of the women were business people at 25.5% and CHVs have a bigger role in deciding where the mothers deliver at 42%. Majority of the mothers 77.5% were less wealthy and a majority of them attended the ANC clinic at 98.5%. Chi square analysis showed that there was no statistically significant relationship between the skilled service delivery and age X2 (1, N=200) =0.22, p>0.05. Multinomial logistic regression was done, and the results showed people with one to two children were 1.7 times more likely (OR=1.17, 95% C.I, 0.4-3.8) to belong to the ?poor birth service? group than the ?good birth service? group compared to respondents who had seven children and above. With regards to marital status, respondents who were divorced from their spouses received good birth services (66.7%), while majority of the married people received poor birth services (55.6%). Results from chi square test showed that there was a statistically significant relationship between marital status and uptake of skilled birth service X2 (4, N=248) =39.109, p<0.05. Bivariate analysis on health facility related factors that are associated with uptake of skilled service delivery showed that there was a borderline significant relationship between delivery place and uptake of skilled birth service in the study area (OR: 0.8; 95% CI: 0.6 ? 1.2; p=0.02) Conclusion and Recommendation: Demographic factors like age, marital status, number of children and education level determine whether a woman would deliver in hospital or not.The factors are key players in women?s ability to uptake skilled birth services. It is recommended that sensitization of the elderly women and adolescent girls be done on importance of early access of antenatal clinic and hospital delivery through the community health volunteers.

Keywords

How to Cite This Article

Victor Emali Mukaka and Beatrice Mukabana. (2019); HEALTH FACILITY FACTORS AND INDIVIDUAL FACTORS AS PREDICTORS OF UPTAKE OF SKILLED BIRTH SERVICES IN LURAMBI SUB COUNTY, KENYA., International Journal of Advanced Research (IJAR), 7 (03), 515-528, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/8665

Corresponding Author

Victor Emali Mukaka
Department of Clinical nursing and health informatics, Masinde Muliro University of science and technology.

Article Analytics

References

  1. .Adjei,C.A.,(2015).Factors_influencing_uptake_of_institutional_delivery_service_by_skilled_birthattendant's_in_ghana_review_of_literature. https://www.researchgate.net/publication/278036629 [accessed Aug 07 2018].
  2. Asule, B. M., Kwena, A., &Wambui, T. (2017). Effects of The Free Maternity Care Program on Utilization of Services at A County Referral Hospital in Kenya. Kenyan Journal Of Nursing & Midwifery, 1(2).
  3. Bourbonnais, N. (2013). Implementing Free Maternity Care in Kenya, Challenges, strategies and recommendation ? KNCHR
  4. Burns, H; & Groove, S.K. (2011). Understanding nursing research: building on Evidence ? based practice. 5th Arlington: Texas
  5. Esena, R. K., &Sappor, M. M. (2013). Factors Associated with the utilization of skilled delivery services in the Ga East Municipality of Ghana Part 2: Barriers to skilled delivery. Int J Sci Tech Res, 2(8), 195-207
  6. Fisher, A. A., Laing, J.E., Stockel, E.J., and Townsend, J.W. (1998): Handbook for Family Planning operation research design 43-46. Population council 2eneds: United States of America
  7. Hansford, F., O., Anjorim, and Pittore K., (2014).Gender inequality and maternal and child nutrition in Northern Nigeria.
  8. Hatt, LE, Makinen, M, Madhavan, S, Conlon, CM 2013, ?Effects of User Fee Exemptions on the Provision and Use of Maternal Health Services: A Review of Literature? J HEALTH POPUL NUTR, 31 no.4
  9. Kitui J, Lewis S, Davey G. (2013). 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.
  10. Lerberg, P. M., Sundby, J., Jammeh, A., &Fretheim, A. (2014). Barriers to skilled birth attendance: a survey among mothers in rural Gambia. African journal of reproductive health, 18(1), 35-43.
  11. Markos M., Gobopamang L., Kannan N., Hadgu B. (2017). Individual, household and contextual factors associated with skilled delivery care in Ethiopia: Evidence from Ethiopian demographic and health surveys. https://doi.org/10.1371/journal.pone.0184688
  12. Ministry of Health, Health Sector Monitoring & Evaluation Unit, (MOH), (2015). Status of program in the devolved health system in kenya. A Comprehensive Assessment Report. WHO and UKAID
  13. Muckle, W., Sprague, A., & Fergus, S. (2013). Barriers to access of maternity care in Kenya: a social perspective. J ObstetGynaecol Can, 35(2), 125-130.
  14. Mugenda, O. M. Mugenda, A.G. (2003). Research Methods, Qualitative and Quantitative Approaches. African Technology Studies Centre-Kampala.
  15. Munabi-Babigumira S, Glenton C, Lewin S, Fretheim A, Nabudere H (2017). What factors influence the delivery of care by skilled birth attendants in low- and middle-income countries? Cochrane.Published:17November 2017.
  16. Mwaliko, E, Downing, R, Wendy O?Meara, W, Chelagat, D, Andrew Obala, A, Downing, T, Simiyu, C, Odhiambo, D, Ayuo, P, Menya, D and Khwa-Otsyula, B 2014, ?Not too far to walk: the influence of distance on place of delivery in a western Kenya health demographic surveillance system?, BMC Health Services Research 14, no. 212
  17. Ononokpono, DN, Odimegwu OC, (2013). ?Determinants of Maternal Health care utilization in Nigeria: a multilevel approach?, Pan Afr Med J. vol. 17, no. 2
  18. Sanghita, B., Aradhana, S., Reetabrata, R., Bilal I. A. (2016). Factors influencing women?s preference for health facility deliveries in Jharkhand state, India: a cross sectional analysis. BMC Pregnancy Childbirth.?2016;?16: 50.?Published online 2016 Mar 7.?doi:?10.1186/s12884-016-0839-6.
  19. Schlomer, G. L., Bauman, S., & Card, N. A. (2010). Best practices for missing data management in counseling psychology. Journal of Counseling Psychology, 57(1), 1-10. doi:10.1037/a0018082
  20. Tey, NP, & Lai, S., (2013, ?Correlates of and barriers to the utilization of health services for delivery in South Asia and Sub-Saharan Africa?, The Scientific World Journal 2013
  21. Tura, G, Fantahun, M, Worku, A 2013, ?The effect of health facility delivery on neonatal mortality: systematic review and meta-analysis? BMC Pregnancy and Childbirth, 13, no. 18
  22. World Health Organisation. (2014). Reproductive health indicators: guidelines for their generation, interpretation and analysis for global monitoring. URL: who.int/reproductive- health/publications/rh_indicators/. Accessed 28th Sept2014.

Similar Articles