Browsing by Author "Mbuthia, Peter Mungai"

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    Perceived Quality of Electronic Health Records Systems Among Health Workers in Public Health Facilities in Kiambu County, Kenya
    (Stratford Peer Reviewed Journals and Book Publishing, 2025-02) Mbuthia, Peter Mungai; Otieno, George O.; Rucha,Kenneth
    Healthcare system is facing an unprecedented high number of patients across the world. Patients increase comes along with increased permanent surge of medical knowledge and techniques available for treatment and diagnosis. This study investigated health worker’s perceptions on quality of electronic health records systems in public hospitals within Kiambu Kenya. This research study employed descriptive cross-sectional study design using both quantitative and qualitative methods. Simple random sampling technique was used where an approximate sample size of 370 participants was used out of the entire population of health workers. Questionnaire self-administered to study participants were used for data collection. Statistical Package for Social Sciences Version 25 (SPSS) was used to process the data. Data was then scrutinized using descriptive and inferential statistical methods. The study revealed that respondents with experience below 10 years (58.8%) perceived that the quality of EHRs was very good. Respondents also perceived that their facilities had good internet connectivity (52.2%,), proper ICT infrastructure (51.6%), proper power backup system (66.5%) and easiness to retrieve patient data at (74.3%). Moreover, the study revealed that managements have availed all resources for use in EHRs (50.6%), while (58.6%) agreed that workflow was not interrupted while using EHRs and there was positive organizational culture towards EHRs (66.8%). In conclusion more than half (54.3%) of the respondents were of the opinion that the overall quality of EHRs in their work station was very good. The study concludes that the perceived quality of EHRs in Kiambu County is generally positive, influenced by socio-demographic, technological, and organizational factors. The study recommends enhancing EHR quality through improved ICT infrastructure, staff training, resource allocation, and further research on private-sector perceptions and patient experiences.