Browsing by Author "Kithuka, Peter"

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    Effectiveness of Socio-Economic-Demographic Factors on Utilization of Routine Health Information Among Hospital Management Teams in TierThree Hospitals in Kiambu County, Kenya
    (jahss, 2025) Wambu, Bernard Maracha; Kibaara, Kenneth Rucha; Kithuka, Peter
    This study investigated the effectiveness of socio-economic-demographic factors on utilization of routine health information among HMTs in tier-three hospitals in Kiambu County. The study design was interventional, employing a quasi-experimental research design that guided the study in the 12 tier-three hospitals. There was an intervention cluster and a control cluster, each with six hospitals. The study adopted a census technique, and all 240 HMT members were included. The study used both qualitative and qualitative data collection techniques. Data was analysed using Fisher’s exact test for the bi-variate analysis, logistics regression to ascertain the statistical relationships, Mann-Whitney U-test to test the difference in means at baseline and end-line, Difference in Difference technique was used to establish the average treatment effect of the intervention. The study used thematic content analysis to analyse qualitative data. The County Health Management Teams and the Sub County Health Management Teams participated in the Key Informant interviews. The results indicate that there was no statistically significant difference regarding the socio-economic-demographic factors before and after the intervention, (Mann-Whitney U-test results, U = 28333, p = 0.7851). The study concludes that, designing HIS should be based on the users’ desired needs and that the intervention was highly effective in promoting the use of the RHI among HMTs. The study recommends that Kiambu County Department of Health should provide strategies for sustaining effective utilization RHI and should provide guidelines to ensure all HMTs are trained to enable them manage hospitals better. The study recommends that; further research be conducted in the lower-level health facilities to generate recommendations appropriate for the different levels of health care systems, similar studies should be replicated in other countries to compare results and enable the drawing of triangulated policy recommendations and a follow-up study be done to determine whether the increase in utilization translates into improved health outcomes or efficiencies within the health system.
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    Effectiveness of Training Hospital Management Teams on Utilization of Routine Health Information in Tier Three Hospitals in Kiambu County, Keny
    (International Journal of Business Management, Entrepreneurship and Innovation, 2025) Wambu, Bernard Maracha; Kibaara, Kenneth Rucha; Kithuka, Peter
    Health information is essential for health decision-making at all levels of the health pyramid. This study investigated the effect of training HMTs in tier three hospitals in Kiambu County and utilization of routine health information. The study design was interventional, employing a quasi-experimental research design that guided the study in the 12 tier-three hospitals. There was an intervention cluster and a control cluster, each with six hospitals. The study adopted a census technique, and all 240 HMT members were included. The study used both qualitative and qualitative data collection techniques. Data was analysed using Fisher’s exact test for the bi-variate analysis, logistics regression to ascertain the statistical relationships, Mann-Whitney U-test to test the difference in means at baseline and end-line, Difference in Difference technique was used to establish the average treatment effect of the intervention. The study used thematic content analysis to analyse qualitative data. The County Health Management Teams and the Sub County Health Management Teams participated in the Key Informant interviews. The results revealed a significant association between the training and the odds of good utilization (A.O. R=9.01, p=0.0001). Those who received training are 9 times more likely to utilize RHI. The study concludes that, designing HIS should be based on the users’ desired needs and that the intervention was highly effective in promoting the use of the RHI among HMTs. The study recommends that Kiambu County Department of Health should provide strategies for sustaining effective utilization RHI and should provide guidelines to ensure all HMTs are trained to enable them manage hospitals better. The study recommends that; further research be conducted in the lower-level health facilities to generate recommendations appropriate for the different levels of health care systems, similar studies should be replicated in other countries to compare results and enable the drawing of triangulated policy recommendations and a follow-up study be done to determine whether the increase in utilization translates into improved health outcomes or efficiencies within the health system
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    Influence of Patient Characteristics and Health System Factors on Performance of Electronic Queue Management Systems Among Outpatients in Radiant Group of Hospitals, Nairobi City County, Kenya
    (Journal of Medicine, Nursing & Public Health, 2025-08) Chepkemoi, Naomi; Kithuka, Peter; Kabeu, Emma
    The purpose of this study was to examine how patient characteristics and health system factors influence the performance of the electronic queue management system among outpatients in radiant group of hospitals, Nairobi City County, Kenya.There is a rise in the number of hospitals adopting a queue management system in order to improve the movement of patients within the facility. Employing a cross-sectional design with stratified sampling, the study collected data from 335 outpatients and conducted key informant interviews with hospital staff. The research was theoretically grounded in Queue Management Theory and the Technology Acceptance Model. Regarding patient characteristics, the analysis revealed significant associations between EQMS performance and age (OR=1.963, p=0.027), with patients aged 60+ reporting 96% higher satisfaction due to reduced physical queuing demands. Education level showed an inverse relationship with system challenges (OR=0.805, p=0.041), indicating that patients with higher education experienced fewer difficulties navigating the system. Employment status also demonstrated significance (OR=1.104, p=0.019), with employed patients reporting better experiences, likely due to greater technology familiarity. For health system factors, staff communication emerged as the strongest predictor (OR=2.220, p=0.025), where clear queue status updates reduced perceived wait times by 122%. Staff engagement (OR=1.633, p=0.046) and responsiveness (OR=0.983, p=0.003) were equally vital, explaining 63% and 98% of variance in satisfaction scores respectively. Environmental factors proved equally crucial, with clear signage (OR=3.145, p=0.041) and cleanliness (OR=3.271, p=0.001) increasing the likelihood of positive experiences by 214% and 227% respectively. Qualitative data highlighted specific challenges for non-English speakers and patients with disabilities. The study concludes that patient characteristics including age, education level, employment status, and trust levels significantly influence Electronic Queue Management System performance among outpatients at Radiant Group of Hospitals, with health system factors such as staff communication, environmental conditions, and organizational support playing equally critical roles in determining system effectiveness. The study recommends that healthcare facilities implement multilingual interface enhancements, staff training programs focused on communication and patient engagement, environmental modifications including improved signage and seating, and accessibility features for special needs populations to ensure comprehensive and equitable electronic queue management system performance.
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    Influence of Technological Factors on Performance of Electronic Queue Management Systems among Outpatients in Radiant Group of Hospitals, Nairobi City County, Kenya
    (Journal of Medicine, Nursing & Public Health, 2025-08) Chepkemoi, Naomi; Kithuka, Peter; Kabeu, Emma
    Long waiting times and congested queues in healthcare facilities worldwide have led to the adoption of Electronic Queue Management Systems (EQMS) to streamline service delivery, but their effectiveness depends critically on the performance of underlying technological components.Thus, this study sought to examine the influence of perceived technological factors on the performance of EQMS among outpatients at the Radiant Group of Hospitals in Nairobi City County. The study employed a cross-sectional design anchored on the Technology Acceptance Model (TAM) and Queue Management Theory (QMT), targeting patients in the outpatient department. Astratified proportionate sampling approach was used to select 335 respondents from a population of 1,460 patients, while key informants were identified purposively.Data were collected through structured questionnaires and key informant interviews and analyzed using both quantitative and qualitative methods, with findings presented in tables, charts, and narratives. The results revealed that technological factors significantly influenced EQMS performance. Key positive determinants included system capacity (OR=1.589, p=0.002), adherence to queue discipline (OR=0.923, p=0.043), and reduced waiting time delays (OR=1.129, p=0.021). Conversely, technical challenges such as system malfunctions (OR=1.509, p=0.052) and unreliable internet connectivity (OR=0.826, p=0.001) emerged as notable barriers to effective system use. The study concludes that the success of EQMS is highly dependent on its technological robustness, reliability, and user-friendliness. The study recommends the integration of a mobile application for real-time queue updates, the introduction of multilingual interfaces to improve accessibility for diverse patient demographics and the incorporation of voice-guided instructions and braille signage to support patients with special needs.