A Assessment Model for Electronic Health Management Information Systems Success in a Developing Country Context: A Case of the Greater Bushenyi Districts in Uganda

Authors

  • Hussein Muhaise School of Computing and Information Technology, Kampala international University
  • Professor. Johnie Wycliffe Frank Muwanga-Zake Professor, School of Computing and Information Technology, Kampala international University
  • Dr. Margaret Kareyo Senior Lecturer, School of Computing and Information Technology, Kampala international University

Keywords:

Assessment model, eHMIS model, success model, factors influencing eHMIS, developing countries, Greater Bushenyi Districts

Abstract

Electronic information systems are gradually replacing traditional information systems in most public and private organisations in developing countries. This is motivated by the wide acceptance of use of information technology at almost all levels of Government institutions and private institutions. No matter the trends in the economy the organisations strive to know the investments in information systems (IS) to determine their success because they are often implemented to solve a particular business need or opportunity. Thus imperative to establish the IS effectiveness for every investment in the IS project given the evolution of information technology. This paper aims at examining the DeLone and MacLean model, 2016 for suitability of assessment electronic information systems success in a developing country context looking at the case of Uganda. Guided by the pragmatic thought and a rare abductive research approach which combines inductive and deductive perspectives were used. It utilized the concurrent transformative research designs for data collection.

References

. Brierley, J.Alvi. (2017). The role of a pragmatist paradigm when adopting mixed methods in behavioural accounting research. International Journal of Behavioural Accounting and Finance, 6 (2). pp. 140-154. ISSN 1753-1969

. Chinecherem Umezuruike, Wilson Nwankwo, Margaret Kareyo (2017). Implementation Challenges of Health Management Information Systems in Uganda: A Review, Journal of Multidisciplinary Engineering Science and Technology (JMEST) ISSN: 2458-9403 Vol. 4 Issue 7, July – 2017

. DeLone, W.H., & McLean, E.R. (2008) Measuring e-Commerce Success: Applying the DeLone& McLean Information Systems Success Model.International Journal of Electronic Commerce, 9: 31-47.

. DeLone, W.H., and McLean, E.R. (2003) Information systems success: The quest for the dependent variable. Information Systems Research, 3: 60-95.

. DeLone, W.H., and McLean, E.R. The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19: 9-30.

. Hussein Muhaise and Annabella Habinka Ejiri (2016) Factors influencing District Health information software version 2.0 success. A case of the greater Bushenyi Districts, American Scientific Research Journal for Engineering, Technology and Sciences, Vol 26, pg 166 -178

. Hussein Muhaise and Margaret Kareyo (2017) Electronic Health Information Systems critical implementation issues (eHMIS): District Health Information software version 2.0 in the greater Bushenyi Districts, American Scientific Research Journal for Engineering, Technology and Sciences, Vol 34, pg 205-212

. Laudon, C.K. and Laudon, J.P. (2012). Management Information Systems: Managing the Digital Firm. 12th Edition. Pearson. Upper Saddle. New Jersey.

. Maxwell, J.A. and Mittapalli, K.M. (2010) ‘Realism as a stance for mixed methods research’, in Tashakkori, A., Teddlie, C. (Eds): SAGE Handbook of Mixed Methods in Social and Behavioral Research, 2nd edition, Sage, Thousand Oaks, CA.

. Ministry of Health (2014). The Health Management Information System (Volume 1), Health unit and Community procedure manual, available at Ministry of Health Resource Centre accessed 15/09/2018

. Ministry of Health, Health Systems 20/20, Makerere University School of Public Health: Uganda Health Systems Assessment 2011. Kampala, Uganda and Bethesda, MD: Health Systems 20/20 Project, Abt Associates Inc; Available at: http://health.go.ug/docs/hsa.pdf. Accessed March 10, 2017.

. Namakula ., S, Kituyi G, (2014). Examining health information systems success factors in

. Uganda health care systems. Journal of global health care systems. 4: 1

. Omwansa, T. K., (2012).Modelling Adoption of Mobile Money by the Poor In Kenya. http://erepository.uonbi.ac.ke/bitstream/handle/123456789/10138/Final%20Thesis.pdf?s equence=1

. Ojo. I Adebowale, (2017) validation of the DeLone and McLean Information Systems Sucess Model. Health Information Resarch. 2017 January, 23(1)60-66

. Roberta Heale, Alison Twycross (2015). Validity and reliability in quantitative studies, Evid Based Nurs, volume 18, No. 3

. Shumaila Memon, Sumera Umrani and Habibullah Pathan (2017) Application of constant comparison method in social sciences: a useful technique to analyze interviews, Grassroots, Vol 51, No. 1

. Tilahun, B., & Fritz, F. (2015). Comprehensive Evaluation of Electronic Medical Record System Use and User Satisfaction at Five Low-Resource Setting Hospitals in Ethiopia. JMIR Medical Informatics, 3(2), 22.

. World Bank (2018). Country Classification. Available at http://data.worldbank.org/about/country-classification. (Retrieved on 28.01.18).

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Published

2019-11-25

How to Cite

Muhaise, H., Muwanga-Zake, P. J. W. F. ., & Kareyo, D. M. . (2019). A Assessment Model for Electronic Health Management Information Systems Success in a Developing Country Context: A Case of the Greater Bushenyi Districts in Uganda. American Scientific Research Journal for Engineering, Technology, and Sciences, 61(1), 167–185. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/5270

Issue

Vol. 61 No. 1 (2019)

Section

Articles

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