Kibiriti, HillaryTenambergen, Mwaura WanjaMapesa, Job O.2024-11-122024-11-122024-04-19Kibiriti, H., Tenambergen, W., & Mapesa, J. (2024). Effect of Socio-demographic Characteristics on Health System Responsiveness in Diabetic and Hypertensive Clinics:: A Cross-sectional Study in Tier Three Hospitals in Kenya. International Journal of Professional Practice, 12(2), 1–14. https://doi.org/10.1234/ijpp.v12i2.320https://repository.ru.ac.ke/handle/123456789/1432This study aimed to investigate the effect of socio-demographic characteristics on health system responsiveness within diabetic andhypertensive clinics in tier three hospitals in Kenya. Responsiveness, which refers to meeting non-health-improving expectations, is crucial for a well-functioning health system, and gaps in responsiveness can compromise the quality of healthcare. While both client and health system factors contribute to responsiveness, the specific influence of socio-demographic characteristics on health systems responsiveness remains unexplored in Kenyan chronic care centers.The cross-sectional descriptive survey involved 308 respondents from Kimilili, Uasin Gishu, and Gatundu hospitals. Data were collected using a structured questionnaire that assessed responsiveness domains such as promptness, respect, communication, involvement, confidentiality, choice, cleanliness, social support access, and overall trust, rated on a five-point Likert scale. Socio-demographic factors investigated included facility location, gender, age, medical condition, religion, marital status, education levels, income level, occupation, and insurance enrollment. The mean responsiveness score was 98.8 (63.7%), with only 38.3% of respondents reporting favorable outcomes. Chi-square analysis revealed significant associations (p<0.05) between responsiveness and facility location, religion, marital status, occupation, and medical condition. Age, gender, insurance enrollment, education, and income level showed no significant association (p>0.05) with responsiveness. The study concluded that favorable responsiveness was less likely than unfavorable outcomes, highlighting the significance of socio-demographic factors. It recommends that healthcare managers prioritize holistic, patient-centered interactions to improve responsiveness in chronic care clinics, taking into account the influence of socio-demographic characteristics on patients' experiences and expectations.enHealth systemresponsivenessSocio-demographiccharacteristicschronic conditionsDiabetes MellitusHypertensionArticle