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Year 2025, Volume: 10 Issue: 2, 158 - 174, 29.06.2025
https://doi.org/10.33457/ijhsrp.1627615

Abstract

References

  • E. K. Achampong, “The State of Information and Communication Technology and Health Informatics in Ghana,” Online J Public Health Inform, vol. 4, Sep. 2012.
  • S. O. Zandieh, K. Yoon-Flannery, G. J. Kuperman, D. J. Langsam, D. Hyman, and R. Kaushal, “Challenges to EHR implementation in electronic- versus paper-based office practices,” J Gen Intern Med, vol. 23, pp. 755–761, Jun. 2008.
  • S. S. Kaboré et al., “Barriers and facilitators for the sustainability of digital health interventions in low and middle-income countries: A systematic review,” Nov. 2022, Frontiers Media S.A.
  • WHO, Global Strategy on Digital Health 2020-2025. World Health Organization, 2021.
  • L. Achampong, “How Lessons from Development Finance Can Strengthen Climate Finance,” in International Political Economy Series, Palgrave Macmillan, 2022, pp. 21–44.
  • H. Galgate, R. P. Singh, F. [Guided by] Firdous, and R. [Guided by] Narwal, “Electronic Health Records (EHR),” http://www.ir.juit.ac.in:8080/jspui/handle/123456789/11412.
  • Q. Wei, X. Wang, G. Zhang, X. Li, X. Yang, and D. Gu, “Internet Healthcare Policy Analysis, Evaluation, and Improvement Path: Multidimensional Perspectives.,” Healthcare (Basel), vol. 11, Jun. 2023.
  • World Bank, “ICTs for health in Africa,” 2021. [Online]. Available: www.eTransformAfrica.org.
  • A. J. Holmgren, M. Esdar, J. Hüsers, and J. Coutinho-Almeida, “Health Information Exchange: Understanding the Policy Landscape and Future of Data Interoperability,” Yearb Med Inform, vol. 32, pp. 184–194, Dec. 2023.
  • Geneva Tamunobarafiri Igwama, Janet Aderonke Olaboye, Chukwudi Cosmos Maha, Mojeed Dayo Ajegbile, and Samira Abdul, “Integrating electronic health records systems across borders: Technical challenges and policy solutions,” International Medical Science Research Journal, vol. 4, pp. 788–796, Jul. 2024.
  • L. Cardoso et al., “Interoperability in healthcare,” in Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications, IGI Global, 2017, pp. 689–714.
  • S. P. Sood et al., “Electronic medical records: A review comparing the challenges in developed and developing countries,” in Proceedings of the Annual Hawaii International Conference on System Sciences, 2008.
  • K. Crowley and C. Plaisant, “‪EHR usability toolkit: A background report on usability and electronic health records‬,” https://scholar.google.com/citations.‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
  • Alzghaibi, H., & Hutchings, H. A. (2024). The Impact of Leadership and Management on the Implementation of Electronic Health Record Systems in the Primary Healthcare Centers. Healthcare, 12(20), 2013. https://doi.org/10.3390/healthcare12202013
  • Muinga, N., Magare, S., Monda, J., Kamau, O., Houston, S., Fraser, H., Powell, J., English, M., & Paton, C. (2018). Implementing an Open Source Electronic Health Record System in Kenyan Health Care Facilities: Case Study. JMIR Medical Informatics, 6(2), e22. https://doi.org/10.2196/medinform.8403
  • Tsai, C. H., Eghdam, A., Davoody, N., Wright, G., Flowerday, S., & Koch, S. (2020). Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content. Life, 10(12), 327. https://doi.org/10.3390/life10120327

ORGANIZATIONAL AND MANAGERIAL FACTORS INFLUENCING ELECTRONIC HEALTH RECORDS IMPLEMENTATION IN PUBLIC HEALTH FACILITIES, MACHAKOS COUNTY, KENYA

Year 2025, Volume: 10 Issue: 2, 158 - 174, 29.06.2025
https://doi.org/10.33457/ijhsrp.1627615

Abstract

The adoption of Electronic Health Records (EHRs) in healthcare systems has the potential to improve patient care, reduce turnaround times, and leverage secondary data for enhanced decision-making. Information technologies are increasingly being embraced in healthcare to promote accountability, efficiency, and service delivery. This study aimed to identify managerial and organizational factors influencing the implementation of EHRs in public health facilities in Machakos County, Kenya. A cross-sectional descriptive design was adopted, as it allows for the collection of data at a single point in time across a diverse population, making it suitable for identifying prevalent factors influencing EHR adoption without requiring longitudinal follow-up. The target population consisted of 424 healthcare providers, including management officers, ICT officers, and healthcare workers. Purposive sampling was used to select key informants with specific knowledge on EHR implementation, ensuring depth and relevance in qualitative insights. Stratified random sampling was applied to the broader population of healthcare providers to ensure representation across different cadres and facility levels, which enhances the generalizability of the findings. The combination of these sampling techniques helps reduce selection bias by ensuring both inclusivity and relevance. A total of 411 respondents were reached. Additionally, qualitative data were collected through interviews with eight key informants. Quantitative data were analyzed using SPSS, while NVivo was used for qualitative analysis. Chi-square tests were applied to determine statistical significance. The results indicated that adequate hardware and software infrastructure, ICT literacy, resource availability, capacity building, and strong leadership commitment were significant factors influencing successful EHR adoption. The study concluded that both organizational and managerial factors must be addressed to ensure effective EHR implementation. It recommends investment in infrastructure, capacity building, and leadership commitment as essential for EHR systems to improve patient outcomes and enhance operational efficiency.

Ethical Statement

This study received ethical approval from the Mount Kenya University Institutional Scientific and Ethical Review Committee (ISERC), under Approval Number: 2655, dated 12th April 2024.

References

  • E. K. Achampong, “The State of Information and Communication Technology and Health Informatics in Ghana,” Online J Public Health Inform, vol. 4, Sep. 2012.
  • S. O. Zandieh, K. Yoon-Flannery, G. J. Kuperman, D. J. Langsam, D. Hyman, and R. Kaushal, “Challenges to EHR implementation in electronic- versus paper-based office practices,” J Gen Intern Med, vol. 23, pp. 755–761, Jun. 2008.
  • S. S. Kaboré et al., “Barriers and facilitators for the sustainability of digital health interventions in low and middle-income countries: A systematic review,” Nov. 2022, Frontiers Media S.A.
  • WHO, Global Strategy on Digital Health 2020-2025. World Health Organization, 2021.
  • L. Achampong, “How Lessons from Development Finance Can Strengthen Climate Finance,” in International Political Economy Series, Palgrave Macmillan, 2022, pp. 21–44.
  • H. Galgate, R. P. Singh, F. [Guided by] Firdous, and R. [Guided by] Narwal, “Electronic Health Records (EHR),” http://www.ir.juit.ac.in:8080/jspui/handle/123456789/11412.
  • Q. Wei, X. Wang, G. Zhang, X. Li, X. Yang, and D. Gu, “Internet Healthcare Policy Analysis, Evaluation, and Improvement Path: Multidimensional Perspectives.,” Healthcare (Basel), vol. 11, Jun. 2023.
  • World Bank, “ICTs for health in Africa,” 2021. [Online]. Available: www.eTransformAfrica.org.
  • A. J. Holmgren, M. Esdar, J. Hüsers, and J. Coutinho-Almeida, “Health Information Exchange: Understanding the Policy Landscape and Future of Data Interoperability,” Yearb Med Inform, vol. 32, pp. 184–194, Dec. 2023.
  • Geneva Tamunobarafiri Igwama, Janet Aderonke Olaboye, Chukwudi Cosmos Maha, Mojeed Dayo Ajegbile, and Samira Abdul, “Integrating electronic health records systems across borders: Technical challenges and policy solutions,” International Medical Science Research Journal, vol. 4, pp. 788–796, Jul. 2024.
  • L. Cardoso et al., “Interoperability in healthcare,” in Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications, IGI Global, 2017, pp. 689–714.
  • S. P. Sood et al., “Electronic medical records: A review comparing the challenges in developed and developing countries,” in Proceedings of the Annual Hawaii International Conference on System Sciences, 2008.
  • K. Crowley and C. Plaisant, “‪EHR usability toolkit: A background report on usability and electronic health records‬,” https://scholar.google.com/citations.‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
  • Alzghaibi, H., & Hutchings, H. A. (2024). The Impact of Leadership and Management on the Implementation of Electronic Health Record Systems in the Primary Healthcare Centers. Healthcare, 12(20), 2013. https://doi.org/10.3390/healthcare12202013
  • Muinga, N., Magare, S., Monda, J., Kamau, O., Houston, S., Fraser, H., Powell, J., English, M., & Paton, C. (2018). Implementing an Open Source Electronic Health Record System in Kenyan Health Care Facilities: Case Study. JMIR Medical Informatics, 6(2), e22. https://doi.org/10.2196/medinform.8403
  • Tsai, C. H., Eghdam, A., Davoody, N., Wright, G., Flowerday, S., & Koch, S. (2020). Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content. Life, 10(12), 327. https://doi.org/10.3390/life10120327
There are 16 citations in total.

Details

Primary Language English
Subjects Social Determinants of Health, Public Health (Other)
Journal Section Article
Authors

Julius Ndung'u 0009-0009-8167-8684

Violet Chepchirchir Maritim 0009-0002-9944-3102

Margaret Wandera Nyongesa 0000-0002-6805-5812

Publication Date June 29, 2025
Submission Date January 27, 2025
Acceptance Date May 26, 2025
Published in Issue Year 2025 Volume: 10 Issue: 2

Cite

IEEE J. Ndung’u, V. C. Maritim, and M. Wandera Nyongesa, “ORGANIZATIONAL AND MANAGERIAL FACTORS INFLUENCING ELECTRONIC HEALTH RECORDS IMPLEMENTATION IN PUBLIC HEALTH FACILITIES, MACHAKOS COUNTY, KENYA”, IJHSRP, vol. 10, no. 2, pp. 158–174, 2025, doi: 10.33457/ijhsrp.1627615.

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