Factors Affecting Utilization of Private Medical Insurance Services among Teachers in Selected Public Primary Schools in Kilifi County

Authors

  • Clarabel Sitati Jomo Kenyatta University, of Agriculture and Technology
  • Prof. Kenneth Ngure Jomo Kenyatta University of Agriculture and Technology
  • Mr. James Kariuki

DOI:

https://doi.org/10.47604/gjhs.3547

Keywords:

Health Insurance, Public and Private, Teachers, Medical Access

Abstract

Purpose: This study sought to determine the factors influencing utilization of private medical insurance services among public primary school teachers in Kilifi County, Kenya.

Methodology: A descriptive cross-sectional study was conducted among 265 public primary school teachers employed by the TSC in Kilifi County. Data was collected using semi-structured, self-administered questionnaires. Variables analyzed included socio-demographic characteristics (age, gender, marital status) and socio-economic factors. Statistical analysis was carried out using SPSS version 22. Associations between independent variables and insurance utilization were assessed using chi-square tests at a 5% significance level.

Findings: Overall, a high proportion of teachers reported utilizing private medical insurance services. A Chi-square test of association revealed a significant relationship between gender and private medical insurance uptake, χ²(1, N = 265) = 4.07, p = 0.044. with female teachers more likely to be enrolled than their male counterparts. In contrast, no significant associations were observed between utilization and age group (χ²(4, N = 265) = 7.22, p = 0.125), marital status (χ²(3, N = 265) = 4.54, p = 0.209), or education level (χ²(2, N = 265) = 1.20, p = 0.549). Teachers reported that access and affordability of healthcare improved with private insurance compared to out-of-pocket payments. However, barriers such as a shortage of specialists and limited working hours among service providers constrained optimal utilization.

Unique Contribution to Theory, Practice and Policy: These findings demonstrate that while private medical insurance significantly improves access and affordability of care, gender disparities and structural health system challenges remain key barriers to universal utilization.

Downloads

Download data is not yet available.

References

A look at Kenya’s struggle to purchase healthcare. (2016, March 23). Financial Sector Deepening Kenya. https://www.fsdkenya.org/finaccess/a-look-at-kenyas-struggle-to-purchase-healthcare/

Abu-Bakar, A., Samsudin, S., Regupathi, A., & Aljunid, S. M. (2016). The Effect Of Health Insurance On Health Care Utilization: Evidence From Malaysia. European Proceedings of Social and Behavioural Sciences, Challenge of Ensuring Research Rigor in Soft Sciences. https://doi.org/10.15405/epsbs.2016.08.51

Amu, H., Dickson, K. S., Kumi-Kyereme, A., & Darteh, E. K. M. (2018). Understanding variations in health insurance coverage in Ghana, Kenya, Nigeria, and Tanzania: Evidence from demographic and health surveys. PLoS ONE, 13(8), e0201833. https://doi.org/10.1371/journal.pone.0201833

Andersen, R. M. (1995). Revisiting the behavioral model and access to medical care: Does it matter? Journal of Health and Social Behavior, 36(1), 1–10.

Bakibinga, P., Kisia, L., Atela, M., Kibe, P. M., Kabaria, C., Kisiangani, I., & Kyobutungi, C. (2022). Demand and supply-side barriers and opportunities to enhance access to healthcare for urban poor populations in Kenya: A qualitative study. https://doi.org/10.1136/bmjopen-2021-057484

Barasa, E., Rogo, K., Mwaura, N., & Chuma, J. (2018). Kenya National Hospital Insurance Fund Reforms: Implications and Lessons for Universal Health Coverage. Health Systems and Reform, 4(4), 346–361. https://doi.org/10.1080/23288604.2018.1513267

Byabashaija, A. A. (2009). The Knowledge and Views of Teachers in Government Educational Institutions in Kampala District on the Proposed Social Health Insurance Scheme in Uganda. http://www.bioline.org.br/abstract?id=hp09001

Cheung, P. T., Wiler, J. L., Lowe, R. A., & Ginde, A. A. (2012). National study of barriers to timely primary care and emergency department utilization among Medicaid beneficiaries. Annals of Emergency Medicine, 60(1), 4-10.e2. https://doi.org/10.1016/j.annemergmed.2012.01.035

Chuma, J., Gilson, L., & Molyneux, C. (2007). Treatment-seeking behaviour, cost burdens and coping strategies among rural and urban households in Coastal Kenya: An equity analysis. Tropical Medicine & International Health: TM & IH, 12(5), 673–686. https://doi.org/10.1111/j.1365-3156.2007.01825.x

Dye, C., Reeder, J. C., & Terry, R. F. (2013). Research for Universal Health Coverage. Science Translational Medicine, 5(199), 199ed13-199ed13. https://doi.org/10.1126/scitranslmed.3006971

Exploring Kenya’s Inequality—Pulling Apart or Pooling Together-compressed.pdf. (n.d.). Retrieved October 21, 2025, from https://www.sidint.org/sites/default/files/2024-02/Exploring%20Kenya%27s%20Inequality%20-%20Pulling%20Apart%20or%20Pooling%20Together-compressed.pdf

Falaki, R. A., & Juni, M. H. (2017). FACTORS AFFECTING WILLINGNESS TO PAY FOR COMMUNITY BASED HEALTH INSURANCE AMONG SECONDARY SCHOOL TEACHERS OF KATSINA STATE, NIGERIA. . . Vol., 4(4).

Hughes, S. C., & Wingard, D. L. (2008). Parental beliefs and children’s receipt of preventive care: Another piece of the puzzle? Health Services Research, 43(1 Pt 1), 287–299. https://doi.org/10.1111/j.1475-6773.2007.00759.x

Kazungu, J. S., & Barasa, E. W. (2017a). Examining levels, distribution and correlates of health insurance coverage in Kenya. Tropical Medicine & International Health, 22(9), 1175–1185. https://doi.org/10.1111/tmi.12912

Kazungu, J. S., & Barasa, E. W. (2017b). Examining levels, distribution and correlates of health insurance coverage in Kenya. Tropical Medicine & International Health, 22(9), 1175–1185. https://doi.org/10.1111/tmi.12912

Kesmodel, U. S. (2018). Cross-sectional studies—What are they good for? Acta Obstetricia Et Gynecologica Scandinavica, 97(4), 388–393. https://doi.org/10.1111/aogs.13331

Kilifi County Integrated Development Plan 2018-2022. (n.d.). Retrieved September 29, 2025, from https://repository.kippra.or.ke/items/3ad25727-cc47-4167-92ff-30f819315e9b

Kimani, J. K., Ettarh, R., Warren, C., & Bellows, B. (2014a). Determinants of health insurance ownership among women in Kenya: Evidence from the 2008–09 Kenya demographic and health survey. International Journal for Equity in Health, 13(1), 27. https://doi.org/10.1186/1475-9276-13-27

Kimani, J. K., Ettarh, R., Warren, C., & Bellows, B. (2014b). Determinants of health insurance ownership among women in Kenya: Evidence from the 2008-09 Kenya demographic and health survey. International Journal for Equity in Health, 13, 27. https://doi.org/10.1186/1475-9276-13-27

Kimani, J. K., Ettarh, R., Warren, C., & Bellows, B. (2014c). Determinants of health insurance ownership among women in Kenya: Evidence from the 2008–09 Kenya demographic and health survey. International Journal for Equity in Health, 13(1), 27. https://doi.org/10.1186/1475-9276-13-27

Kiplagat, I. J. (2011). Determinants of health insurance choice in Kenya [Thesis, University of Nairobi, Kenya]. http://erepository.uonbi.ac.ke/handle/11295/3232

Komoni, I. M. (2015). Key factors influencing teacher absenteeism in public secondary schools in Nzaui Sub County Makueni County. https://www.semanticscholar.org/paper/Key-factors-influencing-teacher-absenteeism-in-in-Komoni/79e3a480b94eacadf83c16edfa4e5f904a190d46

Kong, J., Seeborg, M., & Advisor, F. (n.d.). The Effects of Marital Status & Gender on Health Care Insurance Coverage in the United States.

Macha, J., Harris, B., Garshong, B., Ataguba, J. E., Akazili, J., Kuwawenaruwa, A., & Borghi, J. (2012). Factors influencing the burden of health care financing and the distribution of health care benefits in Ghana, Tanzania and South Africa. Health Policy and Planning, 27 Suppl 1, i46-54. https://doi.org/10.1093/heapol/czs024

Mgandi, P. N. (2017). STRATEGIES IN MANAGEMENT OF TEACHERS LEVELS OF ABSENTEEISM IN PUBLIC PRIMARY SCHOOLS IN KILIFI NORTH CONSTITUENCY, KILIFI COUNTY, KENYA. [Thesis, Pwani University]. http://elibrary.pu.ac.ke/handle/123456789/775

Miseda, M. H., Were, S. O., Murianki, C. A., Mutuku, M. P., & Mutwiwa, S. N. (2017). The implication of the shortage of health workforce specialist on universal health coverage in Kenya. Human Resources for Health, 15(1), 80. https://doi.org/10.1186/s12960-017-0253-9

Mulenga, J. N., Bwalya, B. B., & Gebremeskel, Y. (2017). Demographic and Socio-economic determinants of maternal health insurance coverage in Zambia. Epidemiology, Biostatistics, and Public Health, 14(1). https://doi.org/10.2427/12094

Nguru, C. N. (2018). Uptake of Health Insurance among Patients Attending Public and Private Hospitals in Embu County, Kenya [Kenyatta University]. http://ir-library.ku.ac.ke/handle/123456789/18995

Nouraei Motlagh, S., Abolghasem Gorji, H., Mahdavi, G., & Ghaderi, H. (2015). Main Determinants of Supplementary Health Insurance Demand: (Case of Iran). Global Journal of Health Science, 7(6), 285–294. https://doi.org/10.5539/gjhs.v7n6p285

Omoera, O. S., & Adegoriola, A. M. (2021). Bridging the Information Gap to Keep Educators Healthy: Health Insurance Awareness and Actions by Private School Employees in Nigeria. The Journal of Development Communication, 32(2), 1–14.

Oraya, J. A. (2014). Determinants of health insurance demand among the migrants in kenya [Thesis, University of Nairobi]. http://erepository.uonbi.ac.ke/handle/11295/75383

Perlman, F., Balabanova, D., & McKee, M. (2009). An analysis of trends and determinants of health insurance and healthcare utilisation in the Russian population between 2000 and 2004: The “inverse care law” in action. BMC Health Services Research, 9, 68. https://doi.org/10.1186/1472-6963-9-68

Rodin, J., & De Ferranti, D. (2012). Universal health coverage: The third global health transition? The Lancet, 380(9845), 861–862. https://doi.org/10.1016/S0140-6736(12)61340-3

Rodin, J., & Ferranti, D. de. (2012). Universal health coverage: The third global health transition? The Lancet, 380(9845), 861–862. https://doi.org/10.1016/S0140-6736(12)61340-3

Salari, P., Giorgio, L. D., Ilinca, S., & Chuma, J. (2019). The catastrophic and impoverishing effects of out-of-pocket healthcare payments in Kenya, 2018. BMJ Global Health, 4(6). https://doi.org/10.1136/bmjgh-2019-001809

Teachers Service Commission—Kenya. (n.d.). Retrieved September 26, 2025, from https://www.tsc.go.ke/

The Contributions of Human Rights to Universal Health Coverage. (2016). Health and Human Rights, 18(2), 1–6.

The growing role of private health insurance in Kenya’s Healthcare System: Clyde & Co. (n.d.). Retrieved September 29, 2025, from https://www.clydeco.com:443/insights/2025/02/growing-role-pvt-health-insurance-kenya

Walimu, A. K. (n.d.). TEACHERS’ MEDICAL SCHEME.

Wang, Y., Jiang, Y., Li, Y., Wang, X., Ma, C., & Ma, S. (2013). Health insurance utilization and its impact: Observations from the middle-aged and elderly in China. PloS One, 8(12), e80978. https://doi.org/10.1371/journal.pone.0080978

Yamane, T. (1967) Statistics An Introductory Analysis. 2nd Edition, Harper and Row, New York. - References—Scientific Research Publishing. (n.d.). Retrieved September 29, 2025, from https://www.scirp.org/reference/ReferencesPapers?ReferenceID=1440506

Zhou, M., Zhao, S., & Zhao, Z. (2021). Gender differences in health insurance coverage in China. International Journal for Equity in Health, 20(1), 52. https://doi.org/10.1186/s12939-021-01383-9

Downloads

Published

2025-10-23

How to Cite

Sitati, C., Ngure, K., & Kariuki, J. (2025). Factors Affecting Utilization of Private Medical Insurance Services among Teachers in Selected Public Primary Schools in Kilifi County. Global Journal of Health Sciences, 10(3), 14–35. https://doi.org/10.47604/gjhs.3547

Issue

Section

Articles

Similar Articles

1 2 3 4 5 6 7 8 > >> 

You may also start an advanced similarity search for this article.