Healthcare Record Systems and Operational Difficulties in Selected Hospitals in Bayelsa State, Nigeria
Authors
Federal University Otuoke Business School (Nigeria)
Bayelsa Medical University (Nigeria)
Article Information
DOI: 10.51244/IJRSI.2026.1315PH00144
Subject Category: Health Services Management
Volume/Issue: 13/15 | Page No: 3167-3181
Publication Timeline
Submitted: 2026-07-13
Accepted: 2026-07-18
Published: 2026-07-30
Abstract
Healthcare record systems form the backbone of patient information management in clinical settings. Even though digital health technology has advanced a great deal around the world, hospitals in developing countries still struggle to adopt and maintain record systems that work well. This study looked at the types of healthcare record systems currently used in three selected hospitals in Bayelsa State, Nigeria, and at the operational problems tied to managing them. A descriptive cross sectional survey was carried out among 94 Health Information Management professionals at Federal Medical Centre Yenagoa, Yenagoa Hospital and Maternity, and Kolo General Hospital. Data were gathered with a structured questionnaire and analysed using descriptive statistics and chi square tests.The results showed three distinct patterns of adoption. Paper based systems dominated at Federal Medical Centre Yenagoa, at 86.2 percent, fully electronic systems were used at Yenagoa Hospital and Maternity, at 8.5 percent, and a hybrid system was in place at Kolo General Hospital, at 5.3 percent. Operational difficulties were common across all three facilities. The most severe were unstable electricity supply (mean 4.62), insufficient maintenance funding (mean 4.55), inadequate training (mean 4.50), duplication of data entry (mean 4.48), and a shortage of computers (mean 4.41). A statistically significant association was found between facility type and system type (p less than 0.001).These findings show that healthcare digitalisation in Bayelsa State is moving at different speeds depending on each institution's infrastructure and capacity. Because the study covered only three hospitals out of the 97 in Bayelsa State, about 3.1 percent, the results cannot be generalised across Nigeria as a whole. Closing the gaps identified will require investment in power infrastructure, ongoing training built around real competency, and a phased, policy driven move toward fully electronic systems. Future studies should include the views of clinicians, administrators, technical staff, and patients, to build a fuller picture of how well these record systems actually work.
Keywords
Healthcare Record Systems, Electronic Health Records, Hybrid Systems, Operational Difficulties
Downloads
References
1. Adeleke, I. T., Lawal, M. A., Adio, R. A., & Adebisi, A. A. (2019). Health information management in Nigeria: Challenges and prospects. Nigerian Journal of Health Information Management, 16(1), 108 to 120. [Google Scholar] [Crossref]
2. Adenuga, K. S., Ijatuyi, O. O., & Oluwole, O. (2021). Adoption of electronic health records in Nigerian tertiary hospitals. Journal of Health Informatics in Developing Countries, 15(2), 71 to 85. [Google Scholar] [Crossref]
3. Adler-Milstein, J., & Jha, A. K. (2017). HITECH Act driven electronic health record adoption and its impact. Journal of the American Medical Informatics Association, 24(6), 1677 to 1682. [Google Scholar] [Crossref]
4. Afolabi, O. O., & Adebayo, O. A. (2021). Digital health transformation in Nigerian healthcare: Institutional perspectives. West African Journal of Medicine, 38(4), 372 to 380. [Google Scholar] [Crossref]
5. Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers. International Journal of Information Management, 37(3), 99 to 110. [Google Scholar] [Crossref]
6. Alpert, J. M., DesRoches, C. M., & Kralovec, P. D. (2019). Paper based records in the digital age: Persistence and challenges. Health Affairs, 38(2), 200 to 208. [Google Scholar] [Crossref]
7. Atasoy, H., Greenwood, B. N., & McCullough, J. S. (2019). The digitization of patient care. Annual Review of Public Health, 40, 151 to 169. [Google Scholar] [Crossref]
8. Bayelsa State Ministry of Health. (2022). Bayelsa State Health Insurance Scheme: Accredited healthcare facilities directory. Yenagoa: Bayelsa State Government. [Google Scholar] [Crossref]
9. Bozan, K., Parker, K., & Davey, B. (2016). A meta analysis of the UTAUT model. Journal of Business Research, 69(12), 188 to 196. [Google Scholar] [Crossref]
10. Ezenwosu, I. L., & Uzochukwu, B. S. (2019). Financial barriers to EHR sustainability in Nigerian public hospitals. Nigerian Journal of Clinical Practice, 22(8), 1098 to 1105. [Google Scholar] [Crossref]
11. Federal Ministry of Health. (2021). Nigeria Health Facility Registry (HFR): National database of health facilities. Abuja: Federal Ministry of Health. [Google Scholar] [Crossref]
12. Gbenga, O. A., & Olaniyi, O. M. (2018). Power supply and EHR functionality in Nigerian tertiary hospitals. Energy for Sustainable Development, 47, 41 to 48. [Google Scholar] [Crossref]
13. Greenhalgh, T., Robert, G., Bate, P., Macfarlane, F., & Kyriakidou, O. (2004). Diffusion of innovations in health service organisations: A systematic literature review. BMJ Books. [Google Scholar] [Crossref]
14. Hassan, N. A., & Ismail, N. F. (2018). Staff training deficits in Malaysian public hospital EHR systems. Malaysian Journal of Public Health Medicine, 18(2), 67 to 75. [Google Scholar] [Crossref]
15. Hoyt, R. E., & Yoshihashi, A. K. (2020). Health informatics: Practical guide for healthcare and information technology professionals (7th ed.). Lulu Press. [Google Scholar] [Crossref]
16. Kruse, C. S., Kothman, K., Anerobi, K., &Abanaka, L. (2016). Adoption factors of EHRs. JMIR Medical Informatics, 4(2), e19. [Google Scholar] [Crossref]
17. Kruse, C. S., Stein, A., Thomas, H., & Kaur, H. (2017). EHR and population health. Journal of Medical Systems, 42(4), 64 to 75. [Google Scholar] [Crossref]
18. Maillet, É., Mathieu, L., & Sicotte, C. (2015). Modeling factors explaining adoption of EHRs. International Journal of Medical Informatics, 84(4), 220 to 230. [Google Scholar] [Crossref]
19. McBride, S., & Tietze, M. (2018). Nursing informatics for the advanced practice nurse: Patient safety, quality, outcomes, and interprofessionalism (2nd ed.). Springer Publishing. [Google Scholar] [Crossref]
20. McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning. [Google Scholar] [Crossref]
21. Menachemi, N., & Collum, T. H. (2020). Benefits and drawbacks of EHR systems. Risk Management and Healthcare Policy, 13, 1 to 11. [Google Scholar] [Crossref]
22. Nguyen, L., Bellucci, E., & Nguyen, L. T. (2021). EHR implementation barriers and facilitators. International Journal of Medical Informatics, 145, 104118. [Google Scholar] [Crossref]
23. Nnaji, C. A., & Okafor, C. O. (2021). EHR training effectiveness in Nigerian university hospitals. Nigerian Journal of Medical Education, 8(2), 56 to 64. [Google Scholar] [Crossref]
24. Oachs, P. K., & Watters, A. S. (2020). Health information management: Concepts, principles, and practice (6th ed.). AHIMA Press. [Google Scholar] [Crossref]
25. Owolabi, H. O., & Akinola, O. O. (2019). Budget allocation for health IT in Nigerian public hospitals. Nigerian Journal of Health Economics and Policy, 4(2), 34 to 43. [Google Scholar] [Crossref]
26. Ozair, F. F., Jamshed, N., Sharma, A., & Aggarwal, P. (2015). Ethical issues in EHRs. Journal of Clinical Research and Bioethics, 6(4), 330 to 335. [Google Scholar] [Crossref]
27. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and extension. Now Publishers. [Google Scholar] [Crossref]
28. Wager, K. A., Lee, F. W., & Glaser, J. P. (2021). Health care information systems: A practical approach for health care management (4th ed.). Jossey Bass. [Google Scholar] [Crossref]
29. Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). UTAUT: A literature review. Journal of Enterprise Information Management, 28(3), 443 to 488. [Google Scholar] [Crossref]
30. World Bank. (2020). Digital health in developing countries: Opportunities and challenges. World Bank Publications. [Google Scholar] [Crossref]
31. World Health Organization. (2021). Global strategy on digital health 2020 to 2025. World Health Organization. [Google Scholar] [Crossref]