Year: 2024 | Month: December | Volume: 14 | Issue: 12 | Pages: 169-179
DOI: https://doi.org/10.52403/ijhsr.20241220
Health Worker Factors Influencing EHR Implementation in Machakos County, Kenya
Julius Mwaniki Ndungu1, Dr. Violet Chepchirchir Maritim2, Dr. (Sr) Margaret Wandera Nyongesa3
1School of Public Health, Department of Community Health and Biostatistics, Mount Kenya University- KENYA
2School of Public Health, Department of Community Health and Biostatistics, Mount Kenya University- KENYA
3School of Health and Biomedical Science, Department of Health Systems Management and Public Health, Technical University of Kenya-KENYA
Corresponding Author: Julius Mwaniki Ndung’u
ABSTRACT
Electronic Health Records (EHR) is deemed to improve the efficiency and accuracy of health care delivery to the public by reducing clinical errors and generating high-quality data for decision-making. However, the implementation of EHR systems has faced challenges, particularly in resource-constrained settings like Machakos County, Kenya. This study focuses on the health workers related factors determining the implementation of electronic health records in public health facilities in Machakos County, Kenya. A cross-sectional descriptive design was used, with both quantitative and qualitative data collected from 411 healthcare workers, including key informants. The analysis identified significant associations between health workers’ level of education, age, and the adoption of EHR systems. Health workers with higher education and younger age groups were more likely to adopt EHR systems. Qualitative interviews highlighted challenges such as inadequate training, resistance to change, and lack of technical support. The findings underscore the need for continuous professional development and organizational support to enhance EHR adoption. Policy recommendations include investment in training programs tailored to health workers and improved technical infrastructure.
Key words: E-health, Health leadership, Health workforce, Electronic Health Records, EHR Adoption