Assessing Challenges Facing Health Information Management Systems (HIMS) In The Performance of Monitoring and Evaluation (M&E) In Public Teaching and Referral Hospitals in Nairobi County, Kenya

References

[1] Agyemang, F. G., Nartey, Y. A., & Annan, E. A. (2019). Barriers to implementation of electronic health records: A qualitative study of Ghanaian hospitals. BMC Medical Informatics and Decision Making, 19(1), 1–9. https://doi.org/10.1186/s12911-019-0930-1

[2] Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.

[3] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

[4] Kamau, M. N. (2021). Institutional barriers to effective implementation of health information systems in Kenya’s public hospitals. African Journal of Health Systems Management, 4(2), 55–64.

[5] Kusek, J. Z., & Rist, R. C. (2004). Ten steps to a results-based monitoring and evaluation system. World Bank.

[6] Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). Sage Publications.

[7] Ministry of Health [Kenya]. (2017). Kenya Health Sector Strategic Plan 2018–2023. Nairobi: Government of Kenya. https://www.health.go.ke/

[8] Mutale, W., Ayles, H., Bond, V., Chilengi, R., Hamainza, B., & Siziya, S. (2018). Health systems governance and accountability in Zambia: A narrative review of the literature. Health Policy and Planning, 33(6), 759–775. https://doi.org/10.1093/heapol/czy058

[9] Mwangi, L., Odhiambo, R., & Kibet, L. (2021). Human resource capacity and adoption of hospital information systems in public health facilities in Kenya. International Journal of Health Systems and Implementation Research, 5(1), 33–41.

[10] Ngugi, E. W., Omollo, I. O., & Gichangi, P. (2022). Influence of leadership, policy clarity and user-centered design on efficiency of health information systems in low-income settings. African Journal of Health Informatics, 14(2), 27–36.

[11] Njagi, L., & Wanjiku, P. (2023). ICT infrastructure and health data quality in Kenyan county hospitals. East African Journal of Health and Development, 6(1), 42–51.

[12] Oluoch, T., Were, M. C., & Sereno, D. (2020). Understanding ICT infrastructure limitations in digital health interventions across Africa. International Journal of Medical Informatics, 142, 104257. https://doi.org/10.1016/j.ijmedinf.2020.104257

[13] Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia & Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864

[14] Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd

[15] United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development. https://sdgs.un.org/goals/goal3 [Crossref]

[16] Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

[17] Wanyoike, G., & Njihia, K. (2019). Capacity building in healthcare data systems: A Kenyan perspective. Kenya Journal of Health & Informatics, 3(1), 12–19.

[18] Were, M. C., Sutherland, J. M., Bwana, M., Ssali, J., & Shen, C. (2020). Health information technology and hospital performance in sub-Saharan Africa: A Kenyan perspective. Journal of Global Health, 10(2), 020301. https://doi.org/10.7189/jogh.10.020301

[19] World Health Organization. (2008). Framework and standards for country health information systems. Geneva: WHO.

[20] World Health Organization. (2016). Global diffusion of eHealth: Making universal health coverage achievable. Geneva: WHO

@article{1709643,
      author = {Joseph Kimanzi Kavuwa, Dr. Hellen Kamwele Wafula},
      title = {Assessing Challenges Facing Health Information Management Systems (HIMS) In The Performance of Monitoring and Evaluation (M&E) In Public Teaching and Referral Hospitals in Nairobi County, Kenya},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {1},
      pages = {499-509},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709643.pdf},
      abstract = {Monitoring and Evaluation (M&E) in health care delivery cannot be done effectively without the help of the Health Information Management Systems (HIMS). Nevertheless, they face a lot of challenges ranging between poor infrastructure, lack of training and reluctance to change, which enhances their performance in the public teaching and referral hospitals within Nairobi County, Kenya. This paper examines these challenges by carrying out a cross sectional descriptive research study, which targeted 336 health care workers but 273 (or 81.25 percent) responded to the questionnaire. The details were gathered by means of the use of the structured questionnaires and three focus groups and analyzed with SPSS. The reliability calculated using Cronbach alpha was 0.78 with a statistical significant level of 0.00. The Pearson correlation coefficients were strong and had the same direction i.e. positive close to 0.85, 0.83, 0.84, and 0.87 respectively between human resource (r = 0.85), technological (r = 0.83), institutional (r = 0.84), and the factors related to strategy (r = 0.87) in researching the factors that influence the performance of M&E. The research points out that technological problems in the form of regular system crashes and bad interaction between systems create a major setback in M&E efficiency. The problem is enhanced by human resource issues such as poor staff training and poor staff turnover. Weak leadership and confusion in policies are other institutional barriers, which decrease effectiveness of HIMS. A conceptual framework and Technology Acceptance Model (TAM) informed the study, placing great emphasis on the user perceptions of the system adoption. The hospitals participating in this studied were Mathari National Teaching Referral Hospital, Mbagathi County Hospital, and Pumwani Maternity Hospital. The research suggests specific measures to challenge these adversities, such as enhanced leadership, well-built training, technological advancement, and transparent operation policies. By alleviating these mutually reinforcing obstacles, one will be able to fully realise the potential of HIMS to improve health outcomes and facilitate meeting Sustainable Development Goal.},
      month = {July},
  }