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Reseach Article
Towards a Well-functional Computerized Health Management Information System: A case of Mbagathi County Hospital, Kenya
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 161 - Number 3 |
| Year of Publication: 2017 |
| Authors: Caroline Kawila Kyalo, George W. Odhiambo-Otieno |
10.5120/ijca2017913131
|
Caroline Kawila Kyalo, George W. Odhiambo-Otieno . Towards a Well-functional Computerized Health Management Information System: A case of Mbagathi County Hospital, Kenya. International Journal of Computer Applications. 161, 3 ( Mar 2017), 16-21. DOI=10.5120/ijca2017913131
Abstract
Health Management Information Systems (HMISs) initiatives in Kenya have traditionally been donor-driven with minimal, if any, organizational input in their design. This has consequently led to predictable failures due to lack of sustainability of these initiatives upon donor pullout. The objectives of the study were to investigate the design, implementation and operation of Medboss computerized system at Mbagathi County Hospital in Kenya. Medboss is a locally developed computerized HMIS software, specifically designed for government hospitals in Kenya. However, private hospitals have also adapted it. A descriptive case study research design was conducted in the month of August 2015. The target population was sixty staff members who use Medboss, out of the sixty, thirty two participated in the study. Semi-structured questionnaires and key interview guides were used to collect data. Ten key informants, involved in the design and implementation of the system were interviewed. Questionnaires were used to collect data from twenty two health workers on their knowledge of the factors affecting the operation of the system. Collected data was analyzed using descriptive statistics and multiple regression analysis. Results: Design, implementation and operationalization revealed 73.3% effect on functionality of HMIS. Design was found to significantly influence functionality of HMIS, with a coefficient of 0.815. The coefficient of implementation of HMIS was 0.703, which was equally significant. Operationalization had the least influence on functionality of HMIS with a coefficient of 0.412. Recommendation: Establish a fully functional computerized system. Develop an HMIS policy for the Hospital that documents its vision, mission and objectives therefore implementation will be based on the policy. Fully implement the remaining modules of the system, such as, pharmacy, nursing, human resource, logistics management, and special clinics to enable well-functioning in the operation of the system. Invest more in IT infrastructure in order to enjoy the full benefits of the current system.
References
- WHO, (2007). Strengthening Health Systems to Improve Health Outcomes. Geneva, Switzerland: WHO Document Production Service.
- Ranganathan, C. W.-M. (2004). Bringing professionals on board lessons on executing IT-enables organizational transformation.
- Greenes, R. a. (1998). Audacious goals for health and biomedical informatics in the new millennium. Journal of American Medical Informatics Association, 395-400.
- Cox, K. D. (1999). ABC’s of higher education – getting back to the basics: an activity-based costing approach to planning and financial decision making. Seattle, WA: Institutional Research 39th Annual Forum.
- Kimama, F. M. (2011). Challenges Facing the Implementation of Hospital Management Information Systems in Hospitals in Nairobi. Nairobi
- Tan, J. (2005). E-Health Care Information Systems: An Introduction for Students and Professionals. John Wiley & Sons.
- Ovreitveit, J. (1992). Health Services. Blackwell Scientific Publication.
- Haug, A. (2012). The implementation of enterprise content management systems in SMEs. Journal of Enterprise Information Management
- Searcy, C., Morali, O., Karapetrovic, S., Wichuk, K., McCartney, D., McLeod, S., & Fraser, D. (2012). Challenges in implementing a functional ISO 14001 environmental management system. International Journal of Quality & Reliability Management, 29(7), 779–796. http://doi.org/10.1108/02656711211258526
- Sherburne. (2010). Standards and Guidelines for Electronic Medical Records Systems in Kenya.
- Odhiambo-Otieno, G. W. (2005). Evaluation of existing District Health Management Information Systems: A case study of the District Health Systems. International Journal of Medical Informatics, 733-744.
- MoH. (2011). Report on the Review of EMR Systems: Towards Standardization Kenya Ministries of Health.
- Petrauskas, V. (2015). The use of information flow analysis for building an effective organization. Information Technology and Control, 35(4).
- Hall, C. S., Fottrell, E., Wilkinson, S., & Byass, P. (2014). Assessing the impact of mHealth interventions in low- and middle-income countries – what has been shown to work? Global Health Action, 7(0).
- Heeks, R. (2006). Health information systems: failure, success and improvisation. International Journal of Medical Informatics, 75(2), 125–137.
- Igira, F. T. (2012). The dynamics of healthcare work practices: Implications for health management information systems design and implementation. Management Research Review, 35(3/4), 245–259.
- Sambrook, S. (2001). Factors influencing learning in work: a comparison of two research projects. University of Twente, Enschede.
- Mantzana, V. T. (2008). Identifying healthcare actors involved in the adoption of information systems. European Journal of Information, 90-102.
- Naidu, S., & Richards, N. (2011). HIS.
- Kihuba, E., Gathara, D., Mwinga, S., Mulaku, M., Kosgei, R., Mogoa, W., English, M. (2014). Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya. Global Health Action, 7(0).
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