Knowledge, Skills and Attitudes (KSA) of University Healthcare Professionals towards Health Information Systems (HIS) Usage: The Case of University of Cape Coast Hospital

Authors

Mohammed Najimudeen Abdulai

University of Cape Coast (UCC) (Ghana)

Article Information

DOI: 10.51244/IJRSI.2025.1215PH000224

Subject Category: Health

Volume/Issue: 12/15 | Page No: 2927-2947

Publication Timeline

Submitted: 2025-11-17

Accepted: 2025-11-24

Published: 2025-12-27

Abstract

Background: The purpose and objective of the research was to investigate health care professionals’ perceived Knowledge, Skill and Attitudes (KSA) towards the usage of Health Information System (HIS), in a University health care setting in Ghana, with the University of Cape Coast (UCC) Hospital as a case study.
Methods: A conceptual research model was developed based on Technology Acceptance Model (TAM). A cross-sectional descriptive survey design and a mixed method approach were employed for this study.
Results: It was discovered that the University Health care professionals’ level of perceived knowledge, skills, and attitude on the usage of HIS was established to be positive and appreciable. Positive relationships were established among KSA and TAM variables (Perceived Ease of Use- PEOU and Perceived Usefulness-PU) indicating a generally positive character towards the use of HIS in the University health care system.
Conclusions: The results of this study support the importance of training in the usage of institutional software. Hospital managers must also match skill training levels to role specifications of staff at the facility, and also implement annual training updates on HIS skills and computing competencies for all users of the software. Further studies could look at why differences exist between professional groups regarding their perceptions about HIS, their skill ratings and the use of the system; how accurate these perceptions are; and then how best to address the differential needs of the various professions. Future research could address additional user groups within the same or different healthcare system, such as physicians, nurses, laboratory technicians, administrative assistants or clerical staff.

Keywords

Health Information Systems; Developing country; Technology Acceptance

Downloads

References

1. 1 Ackon, E. K. (2003). Management of health care organisations in developing countries. Bel-Team Publications. [Google Scholar] [Crossref]

2. 2 Adediwura, A. & Tayo, B. (2007), Perception of teachers’ knowledge, attitude and teaching skills as predictor of academic performance in Nigerian secondary schools, Faculty of Education Obafemi Awolowo University, Ile-Ife, Nigeria. Department of Educational Technology, Faculty of Education, Obafemi Awolowo University, Ile-Ife, Nigeria [Google Scholar] [Crossref]

3. 3 Aggelidis, V. P., & Chatzoglou, P. D. (2012). Hospital information systems: Measuring end user computing satisfaction (EUCS). Journal of biomedical informatics, 45(3), 566-579. [Google Scholar] [Crossref]

4. 4 Almunawar, M. N., & Anshari, M. (2012). Health Information Systems (HIS): Concept and Technology. arXiv preprint arXiv:1203.3923. [Google Scholar] [Crossref]

5. 5 AL-nassar, B., Abdullah, M. S., & Osman, W. R. S. (2011). Overcoming challenges to use Electronic Medical Records System (EMRs) in Jordan Hospitals. IJCSNS, 11(8), 51-58. [Google Scholar] [Crossref]

6. 6 Archangel, N. (2007). The critical issues affecting the introduction of Health Management Information Systems in developing countries in Africa: International Institute for Communication and Development (IICD) [Google Scholar] [Crossref]

7. 7 Ash, J. & Bates, D. (2005), Factors and forces affecting EHR system adoption: Report of a 2004 ACMI discussion Journal of American Medical Informatics Association. [Google Scholar] [Crossref]

8. 8 Aydin, C. E., & Ischar, R. (1994). Predicting effective use of hospital computer systems: An evaluation. Evaluating Health Care Information Systems: Methods and Applications. Thousand Oaks, CA: Sage, 245. [Google Scholar] [Crossref]

9. 9 Boerma, T., & Abou-Zahr, C. (2005). Monitoring global health: bottom up approach is more likely to be successful. BMJ: British Medical Journal, 330(7484), 195. [Google Scholar] [Crossref]

10. 10 Brown, S. H., & Coney, R. D. (1994). Changes in physicians' computer anxiety and attitudes related to clinical information system use. Journal of the American Medical Informatics Association, 1(5), 381-394. [Google Scholar] [Crossref]

11. 11 Chetley, A. (2006). Improving health, connecting people: the role of ICT in the health sectors of developing countries a framework paper. Info Dev, 31 May 2006. [Google Scholar] [Crossref]

12. 12 Chiasson, M. W., & Davidson, E. (2004). Pushing the contextual envelope: developing and diffusing IS theory for health information systems research. Information and Organization, 14(3), 155-188. [Google Scholar] [Crossref]

13. 13 Cline, G. B., & Luiz, J. M. (2013). Information technology systems in public sector health facilities in developing countries: the case of South Africa. BMC medical informatics and decision making, 13(1), 1. [Google Scholar] [Crossref]

14. 14 Detmer, W. M., & Friedman, C. P. (1994). Academic physicians' assessment of the effects of computers on health care. In Proceedings/the... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care (p. 558). [Google Scholar] [Crossref]

15. 15 Darulis, Z. (2005), Use and Perceptions of Lithuanian Computerized Health Information System: Nordic School of Public Health, Master of Public Health MPH 2005:10 [Google Scholar] [Crossref]

16. 16 Davis, F. D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13, no. 3: 319–40. Ibid. [Google Scholar] [Crossref]

17. 17 Davis, F. D., Bagozzi R. P., and Warshaw P. R. (1989), User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science 35, no. 8 982–1003. [Google Scholar] [Crossref]

18. 18 Evidence Report/Technology Assessment (2006), Costs and Benefits of Health Information Technology: AHRQ Publication No. 06-E006 Southern California Evidence-based Practice Center, Santa Monica, CA, Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services [Google Scholar] [Crossref]

19. 19 Hayajneh Y. A. (2006), Extent of Use, Perceptions, and Knowledge of a Hospital Information System by Staff Physicians, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan 22110. [Google Scholar] [Crossref]

20. 20 [20] Haux, R., Ammenwerth, E., Ter Burg, W. J., Pilz, J., & Jaspers, M. W. (2004). An international course on strategic information management for medical informatics students: aim, content, structure, and experiences. International journal of medical informatics, 73(2), 97-100. [Google Scholar] [Crossref]

21. 21 Lee, T.T., Lee, T.Y., Lin, K.C. & Chang, P.C. (2005) Factors affecting the use of nursing information systems in Taiwan: Journal of Advanced Nursing 50(2), 170–178 [Google Scholar] [Crossref]

22. 22 Lippeveld T., Sauerborn R., and Bodart T. (Eds.) (2000) Design and Implementation of Health Information Systems, World Health Organization, Washington, DC. [Google Scholar] [Crossref]

23. 23 Mantzana, V., Themistocleous, M., & Morabito, V. (2010). Healthcare information systems and older employees' training. Journal of Enterprise Information Management, 23(6), 680-693. [Google Scholar] [Crossref]

24. 24 Matshidze, P., & Hanmer, L. (2007). Health information systems in the private health sector. South African Health Review, 89-102. [Google Scholar] [Crossref]

25. 25 McCusker, C. (2013). Preceptorship: professional development and support for newly registered practitioners. Journal of perioperative practice, 23(12), 283-287. [Google Scholar] [Crossref]

26. 26 MOH (Ministry of Health) (1997), Ghana Medium-Term Health Strategy – Policy Document, Ministry of Health – Ghana, Accra. [Google Scholar] [Crossref]

27. 27 Morton, M. E. (2008). Use and acceptance of an electronic health record: factors affecting physician attitudes (Doctoral dissertation, Drexel University). [Google Scholar] [Crossref]

28. 28 Smith, M., Madon, S., Anifalaje, A., Lazarro-Malecela, M., & Michael, E. (2008). Integrated health information systems in Tanzania: experience and challenges. EJISDC: The Electronic Journal on Information Systems in Developing Countries, (33), 1. [Google Scholar] [Crossref]

29. 29 Van der Meijden, H., & Veenman, S. (2005). Face-to-face versus computer-mediated communication in a primary school setting. Computers in Human behavior, 21(5), 831-859. [Google Scholar] [Crossref]

30. 30 Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. [Google Scholar] [Crossref]

31. 31 Witter, S., Adjei, S., Armar-Klemesu, M., & Graham, W. (2009). Providing free maternal health care: ten lessons from an evaluation of the national delivery exemption policy in Ghana. Global Health Action, 2. [Google Scholar] [Crossref]

32. 32 World Health Organisation. (2003). Health information systems in support of the Millennium Development. Goals Report by the Secretariat, Sixtieth World Health Assembly A60/22 [Google Scholar] [Crossref]

33. 33 Wysong, P.R. & Driver, E. (2009), Patients' Perceptions of Nurses' Skill © American Association of Critical-Care Nurses Crit Care Nurse 2009; 29:24-37 doi:10.4037/ccn2009241 Published online http://www.cconline.org [Google Scholar] [Crossref]

34. 34 Zhang, J., Johnson, K. A., & Smith, J. W. (2002). Designing human-centered distributed information systems. Intelligent Systems, IEEE, 17(5), 42-47. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles