Association between Sociodemographic Characteristics and Patient Valuation of Health System Responsiveness Domains in Chronic Care Centers: A Cross-Sectional Study in Tier Three Hospitals in Kenya

Authors

  • Hillary Kibiriti Researcher, Kenya Methodist University
  • Wanja Tenambergen Lecturer, Kenya Methodist University
  • Job Mapesa Lecturer, Kenya Methodist University

Keywords:

Health system responsiveness, socio-demographic characteristics, chronic conditions, Diabetes Mellitus, Hypertension

Abstract

This study examined how socio-demographic factors influence rankings of health system responsiveness in diabetic and hypertensive clinics within tier three hospitals in Kenya. Responsiveness, which addresses non-health-improving patient expectations, is essential for a well-functioning health system. While previous research has explored client and system factors, the impact of socio-demographic characteristics on domain rankings remains unclear. A cross-sectional survey collected data from 308 respondents in Kimilili, Uasin Gishu, and Gatundu hospitals using a structured questionnaire. Factors analyzed included facility location, gender, age, medical condition, religion, marital status, education, income, occupation, and insurance enrollment. Responsiveness domains assessed were promptness, respect, communication, involvement, confidentiality, choice, cleanliness, social support access, and trust. Data were analyzed using SPSS version 27 at a 95% confidence level. Respondents’ ages ranged from 19-95 years (mean: 56.6), with a median monthly income of KES 10,000 (70 USD). Most were Protestants (51.6%), married (69.8%), small-scale farmers (42.5%), had primary education (35.7%), and lacked medical insurance (55.8%). Among them,50.6% had hypertension, 30.8% had diabetes mellitus, and 18.5% had both conditions. Dignity and promptness were the most valued responsiveness domains, while social support and amenities were least valued. Chi-square analysis showed significant associations with facility location (p=0.01) and marital status (p=0.032), while other factors were not significantly associated with ranking of domains (p>0.05). Findings suggest that responsiveness rankings are influenced by specific contextual and personal factors rather than broad demographics. HealthCare facilities should address location-based disparities and consider marital status to enhance patient experience. Further research is needed to explore additional influencing factors and develop targeted strategies to improve healthcare quality

DOI: https://doi.org/10.5281/zenodo.17947531

Citation: Kibiriti , H., Tenambergen , W., & Mapesa, J. (2025). Association between Sociodemographic Characteristics and Patient Valuation of Health System Responsiveness Domains in Chronic Care Centers: A Cross-Sectional Study in Tier Three Hospitals in Kenya. Academic Journal of Health Systems and Reforms, 2(2), 1–14. https://doi.org/10.5281/zenodo.17947531

References

Achstetter, K., Köppen, J., Hengel, P., Blümel, M., & Busse, R. (2022). Drivers of patient perceptions of health system responsiveness in Germany. The International Journal of Health Planning and Management, 37(S1), 166–186. https://doi.org/10.1002/hpm.3570

Adesanya, T., Gbolahan, O., Ghannam, O., Miraldo, M., Patel, B., Verma, R., & Wong, H. (2012). Exploring the Responsiveness of Public and Private Hospitals in Lagos, Nigeria. Journal of Public Health Research, 1(1), jphr. 2012.e2. https://doi.org/10.4081/jphr.2012.e2

Adhikari, A., Paneru, D. P., & Pokhrel, A. (2024). Responsiveness of services rendered at primary healthcare facilities of Bharatpur, Nepal: A cross-sectional study. BMJ Public Health, 2(1). https://doi.org/10.1136/bmjph-2023-000546

Ahmadi Kashkoli, S., Zarei, E., Daneshkohan, A., & Khodakarim, S. (2017). Hospital responsiveness and its effect on overall patient satisfaction: A cross-sectional study in Iran. International Journal of Health Care Quality Assurance, 30(8), 728–736. https://doi.org/10.1108/IJHCQA-07-2016-0098

Amirrudin, M., Nasution, K., & Supahar, S. (2021). Effect of variability on Cronbach alpha reliability in research practice. Jurnal Matematika, Statistika Dan Komputasi, 17(2), 223–230. https://doi.org/10.20956/jmsk.v17i2.11655

Coleman, P. (2022). Validity and reliability within qualitative research for the caring sciences. International Journal of Caring Sciences, 14(3), 2041–2045. https://oro.open.ac.uk/81588/

Coulter, A., & Jenkinson, C. (2005). European patients’ views on the responsiveness of health systems and healthcare providers. The European Journal of Public Health, 15(4), 355–360. https://doi.org/10.1093/eurpub/cki004

Fetene, M. B., Bayable, S. D., Wendimu, E. S., Belehu, K. D., Almaw, A. A., Dula, P. K., & Bejiga, B. Z. (2022). Perioperative patient satisfaction and its predictors following surgery and anesthesia services in North Shewa, Ethiopia. A multicenter prospective cross-sectional study. Annals of Medicine and Surgery, 76, 103478. https://doi.org/10.1016/j.amsu.2022.103478

Geldsetzer, P., Haakenstad, A., James, E. K., & Atun, R. (2018). Non-technical health care quality and health system responsiveness in middle-income countries: A cross-sectional study in China, Ghana, India, Mexico, Russia, and South Africa. Journal of Global Health, 8(2), 020417. https://doi.org/doi: 10.7189/jogh.08.020417

Herr, R. M., Brokmeier, L. L., Fischer, J. E., & Mauss, D. (2022). The benefits of an employee-friendly company on job attitudes and health of employees: Findings from matched employer–employee data. International Journal of Environmental Research and Public Health, 19(15), 9046. https://doi.org/10.3390/ijerph19159046

Ibeneme, S., Ongom, M., Ukor, N., & Okeibunor, J. (2020). Realigning health systems strategies and approaches; what should African countries do to strengthen health systems for the sustainable development goals? Frontiers in Public Health, 8, 372. https://doi.org/10.3389/fpubh.2020.00372

Kiarie, J. N., Mambo, S. N., & Kamundi, G. K. (2023). A cross-sectional study on the association between varied social support modalities and glycemic levels amongst diabetic patients residing in Machakos County, Kenya. Pan African Medical Journal, 45(1). https://www.ajol.info/index.php/pamj/article/view/266315

Kumar, A., Gangwar, R., Ahmad Zargar, A., Kumar, R., & Sharma, A. (2024). Prevalence of Diabetes in India: A Review of IDF Diabetes Atlas 10thEdition. Current Diabetes Reviews, 20(1), e130423215752. https://doi.org/10.2174/1573399819666230413094200

Lawrence, M., & Kinn, S. (2012). Defining and measuring patient‐centred care: An example from a mixed‐methods systematic review of the stroke literature. Health Expectations, 15(3), 295–326. https://doi.org/10.1111/j.1369-7625.2011.00683.x

Luoma, M., Doherty, J., Muchiri, S., Barasa, T., Hofler, K., Maniscalco, L., & Maundu, J. (2010). Kenya health system assessment 2010. Bethesda, MD. https://getinthepicture.org/sites/default/files/resources/Republic%20of%20Kenya%20Annual%20Health%20Sector%20Statistics%20Report%202010_0.pdf

Macharia, P. M., Mumo, E., & Okiro, E. A. (2021). Modelling geographical accessibility to urban centres in Kenya in 2019. PLoS One, 16(5), e0251624. https://doi.org/10.1371/journal.pone.0251624

Malekzadeh, R., Yaghoubian, S., Hasanpoor, E., & Ghasemi, M. (2021). Health system responsiveness in Iran: A cross-sectional study in hospitals of Mazandaran province. International Journal of Human Rights in Healthcare, 14(2), 133–142. https://doi.org/10.1108/IJHRH-03-2020-0018

Mirzoev, T., & Kane, S. (2017). What is health systems responsiveness? Review of existing knowledge and proposed conceptual framework. BMJ Global Health, 2(4), e000486. https://doi.org/10.1136/bmjgh-2017-000486

Mogaka, J. N., Sharma, M., Temu, T., Masyuko, S., Kinuthia, J., Osoti, A., Zifodya, J., Nakanjako, D., Njoroge, A., & Otedo, A. (2022). Prevalence and factors associated with hypertension among adults with and without HIV in Western Kenya. Plos One, 17(1), e0262400. https://doi.org/10.1371/journal.pone.0262400

Mohamed, S. F., Mwangi, M., Mutua, M. K., Kibachio, J., Hussein, A., Ndegwa, Z., Owondo, S., Asiki, G., & Kyobutungi, C. (2018). Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: Results from a national survey. BMC Public Health, 18(S3), 1215. https://doi.org/10.1186/s12889-018-6053-x

Mohammadi, A., & Kamali, K. (2014). Responsiveness in the healthcare settings: A survey of inpatients. International Journal of Hospital Research, 3(3), 123–132. https://ijhr.iums.ac.ir/?_action=articleInfo&article=7706

Mohammed, S., Bermejo, J. L., Souares, A., Sauerborn, R., & Dong, H. (2013). Assessing responsiveness of health care services within a health insurance scheme in Nigeria: Users’ perspectives. BMC Health Services Research, 13(1), 502. https://doi.org/10.1186/1472-6963-13-502

Njuguna, R. S. (2020). The Influence of Health Literacy on Patients’ Rights Charter on Health Systems responsiveness at a Primary Health Care facility in Machakos County [PhD Thesis, KeMU]. http://41.89.31.5/handle/123456789/851

Otieno, F. C., Mikhail, T., Acharya, K., Muga, J., Ngugi, N., & Njenga, E. (2021). Suboptimal glycemic control and prevalence of diabetes-related complications in Kenyan population with diabetes: Cohort analysis of the seventh wave of the International Diabetes Management Practices Study (IDMPS). Endocrine and Metabolic Science, 3, 100093. https://doi.org/10.1016/j.endmts.2021.100093

Peltzer, K., & Phaswana-Mafuya, N. (2012). Patient experiences and health system responsiveness among older adults in South Africa. Global Health Action, 5(1), 18545. https://doi.org/10.3402/gha.v5i0.18545

Pengpid, S., & Peltzer, K. (2020). Prevalence, awareness, treatment and control of hypertension among adults in Kenya: Cross-sectional national population-based survey. Eastern Mediterranean Health Journal, 26(8), 923–932. https://doi.org/10.26719/emhj.20.063

Ratcliffe, H. L., Bell, G., Awoonor-Williams, K., Bitton, A., Kim, J.-H., Lipstiz, S., Macarayan, E., Ofosu, A., Otupiri, E., & Schwarz, D. (2020). Towards patient-centred care in Ghana: Health system responsiveness, self-rated health and experiential quality in a nationally representative survey. BMJ Open Quality, 9(2). https://doi.org/10.1136/bmjoq-2019-000886

Röttger, J., Blümel, M., Fuchs, S., & Busse, R. (2014). Assessing the responsiveness of chronic disease care-is the World Health Organization’s concept of health system responsiveness applicable? Social Science & Medicine, 113, 87–94. https://doi.org/10.1016/j.socscimed.2014.05.009

Semyonov-Tal, K. (2024). Responsiveness of Inpatient Care and Provision of Dignity: Insights from a Patient Experience Survey in Israel. Health Policy, 105043. https://doi.org/10.1016/j.healthpol.2024.105043 Get rights and content

Sileyew, K. J. (2019). Research design and methodology. Cyberspace, 1–12. https://doi.org/DOI: 10.5772/intechopen.85731

Srivastava, A., Avan, B. I., Rajbangshi, P., & Bhattacharyya, S. (2015). Determinants of women’s satisfaction with maternal health care: A review of literature from developing countries. BMC Pregnancy and Childbirth, 15(1), 97. https://doi.org/10.1186/s12884-015-0525-0

Taherdoost, H. (2017). Determining sample size; how to calculate survey sample size. International Journal of Economics and Management Systems, 2. http://www.hamta.org

Topp, S. M., & Chipukuma, J. M. (2016). A qualitative study of the role of workplace and interpersonal trust in shaping service quality and responsiveness in Zambian primary health centres. Health Policy and Planning, 31(2), 192–204. https://doi.org/10.1093/heapol/czv041

Tremblay, D., Roberge, D., & Berbiche, D. (2015). Determinants of patient-reported experience of cancer services responsiveness. BMC Health Services Research, 15(1), 425. https://doi.org/10.1186/s12913-015-1104-9.

Zalmanovitch, Y., & Vashdi, D. R. (2015). The relationship between socio-economic factors and responsiveness gaps in primary, preventative and health promotion services. Health Expectations, 18(6), 2638–2650. https://doi.org/10.1111/hex.12238

Ughasoro, M. D., Okanya, O. C., Uzochukwu, B. S. C., & Onwujekwe, O. E. (2017). An exploratory study of patients’ perceptions of responsiveness of tertiary health-care services in Southeast Nigeria: A hospital-based cross-sectional study. Nigerian Journal of Clinical Practice, 20(3), 267–273. https://doi.org/DOI: 10.4103/1119-3077.183255

Valentine, N. B., de Silva, A., Kawabata, K., Darby, C., Murray, C. J., & Evans, D. B. (2003). Health system responsiveness: Concepts, domains and operationalization. Health Systems Performance Assessment: Debates, Methods and Empiricism. Geneva: World Health Organization, 96. https://www.researchgate.net/profile/Nicole-Valentine3/publication/242475744_Health_System_Responsiveness_Concepts_Domains_and_Operationalization/links/53f083640cf23733e812ee08/Health-System-Responsiveness-Concepts-Domains-and-Operationalization.pdf

Warren, C. E., Sripad, P., Ndwiga, C., Okondo, C., Okwako, F. M., Mwangi, C. W., & Abuya, T. (2023). Lessons from a behavior change intervention to improve provider-parent partnerships and care for hospitalized newborns and young children in Kenya. Global Health: Science and Practice, 11(Supplement 1). https://doi.org/10.9745/GHSP-D-23-00004

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Published

2025-12-16

How to Cite

Kibiriti, H., Tenambergen, W., & Mapesa, J. (2025). Association between Sociodemographic Characteristics and Patient Valuation of Health System Responsiveness Domains in Chronic Care Centers: A Cross-Sectional Study in Tier Three Hospitals in Kenya. Academic Journal of Humanities and Social Sciences Research, 2(1). Retrieved from https://academicpubs.org/ojs33/index.php/academicpubs/article/view/48