Factors Influencing District Health Information Software Version 2 Success – A Case of the Greater Bushenyi Districts, Uganda
Keywords:
DHIS2, Information Systems Success, Health Information systems, DeLeone & McLean, Greater Bushenyi Districts, Uganda.Abstract
Evaluating success factors of District Health information software version2 (DHIS2) is an essential in the field of information systems in a developing country context. DHIS2is vital for Uganda health care system particularly for monitoring sustainable development goals and thus facilitating public health decision making, health sector reviews, planning, resource allocation. From the literature reviewed the desire to determine the variables that measure the success factors for information Systems continues. Despite, the studies, in the developing countries context like Uganda, there are few and with inadequate criteria to evaluate the DHIS2 success factors. This study aims at identifying success factors in relation to the theoretical framework of DeLeon and MacLean model 2003. Considerations for Resource supply, Education and training and Management support are key for the success of the District Health information Software Version2 in the five districts of the greater Bushenyi Districts- Uganda in developing country perspective.
References
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[31] Wang Y.-S., (2008)“Assessing e-commerce systems success: A respecification and validation of the DeLone and McLean model of IS success,” Information Systems Journal, vol. 18, no. 5, pp. 529-57, 2008.
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[34] Ziemba, E., Papaj, T., ?elazny,R., (2013) A Model of Success Factors for E-Government Adoption – The Case Of Poland. Issues in Information Systems, Volume 14, Issue 2, pp. 87-100.
[35] Cheok ,M, L and Wong, S (2015) Predictors of E-Learning Satisfaction in Teaching and Learning for School Teachers: A Literature Review, International Journal of Instruction January 2015.Vol.8, No.1e-ISSN: 1308-1 470.
[36] Seddon, P.B. (1997). The Arespecification of the DeLone and McLean model of IS success. Information systems research, Vol 8. No.3, September 1997
[37] Sinha, R. (2010). Impact of Health Information Technology in Public Health. Journal of Biomedical Informatics, 1(4), 223-36
[38] Peterson, D. K., Kim, C., Kim, J. H. and Tamura, T. (2002). The Perception of Information Systems Designers from the United States, Japan, and Korea on Success and Failure Factors. International Journal of Information Management, 22(6), 421 -439.
[2] Alshibly. (2015) Investigating Decision Support System (DSS) Success: A Partial Least Squares Structural Equation Modeling Approach, Journal of Business Studies Quarterly 2015, Volume 6, Number 4 ISSN 2152-1034
[3] Amanyire G, Wanyenze R, Alamo S, Kwarisiima D, Sunday P. (2010), Client and Provider Perspectives of the Efficiency and Quality of Care in the Context of Rapid Scale-up of Antiretroviral Therapy, AIDS Patient Care STDS, 24(11), 719-27
[4] Chen, R. F., & Hsiao, J. L. (2012). An investigation on physicians ‘acceptance of hospital information systems: a case study. International journal of medical informatics, 81 (12), 810–820.
[5] Christian Bach, Salvatore Belardo, Hassan Bajwa, PushpaKantharaju, Praveen Prasanth. Factor analysis in measuring information systems Effectiveness. Proceedings of the 2011 ASEE Northeast Section Annual Conference University of Hartford
[6] Davis, F.D. (1989). “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly, 13,( 3), pp. 319-340.
[7] DeLone, W.H., and McLean, E.R. Information systems success: The quest for the dependent variable. Information Systems Research, 3, 1 (1992), 60-95.
[8] DeLone, W.H., and McLean, E.R. Measuring e-Commerce Success: Applying the DeLone& McLean Information Systems Success Model. International Journal of Electronic Commerce, 9, 1, (2004), 31-47.
[9] 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, 4, (2003), 9-30.
[10] DHIS 2 (2013). DHIS 2 Documentation. URL http://www.dhis2.org/deployements accessed December18,2015)
[11] Douglis,C. (2012).USAID/KenyaHMIS.URL http://kenya.usaid.gov/programs/health/1213 (accessed September 15, 2015)
[12] Gable, G., Sedera, D., and Chan, T. (2008). Re-conceptualizing Information System Success: The IS-Impact Measurement Model. Journal of the Association for Information Systems,
9(7), 377-408.
[13] Gathogo J.K., (2014) A model for post-implementation valuation of health information systems: The case of the DHIS 2 in Kenya
[14] Gray Christopher J., Morris Robert (2014). Electronic Health Record Systems in the Cloud, Critical Success Factors for Implementation. Issues in Information Systems, Volume 15 Issue 2, pp. 124-132.
[15] Guy G. Gable, DarshanaSedera, Taizan Chan Journal of the Association for Information Systems Vol. 9 Issue 7 378 pp. 377-408 July 2008
[16] Heeks R. (2006). Health Information Systems: Failure, Success and Improvisation. International Journal of Medical Informatics, 75(2), 125–137. doi: 10.1016/j.ijmedinf.2005.07.024. 1386-5056
[17] Heeks, R. (2002). Failure, Success and Improvisation of Information Systems Projects in Developing Countries. Development Informatics Working Paper Series, No.11, 2002. Retrieved from http://www.sed.manchester.ac.uk/idpm/publications/wp/di/diwp11.pdf
[18] Kiberu et al., BMC Medical informatics and Decision making 2014, 14:40 http://www.biomedcentral.com/1472-6947/14/40
[19] Kihuba et al., (2014). Assessing the ability of Health Management Information systems in Hospital to support evidence based – informed decisions in Kenya: Glob Health Action 2014, 7: 24859 - http://dx.doi.org/10.3402/gha.v7.24859
[20] Lee, K. C., & Chung, N., (2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean’s model perspective. Interacting with computers, 21(5), 385-392.
[21] Lin,H-Hi, Wang Y.-S., and Rong L-C. (2015) Assessing Mobile Learning Systems Success, International journal of Information and Education Technology, Vol. 6, No. 7, July 2015
[22] . Lin, H. F., (2007). Measuring online learning systems success: Applying the updated DeLone and McLean model. Cyberpsychology& behavior, 10(6), 817-820.
[23] Mandelli .A, Giusti .D: Utilizing the Health Management Information System (HMIS) For Monitoring Performance and Planning: Uganda Catholic Medical Bureau Experience. Available at: http://www.ucmb.co.ug
[24] Markus. Loewe and Nicole. Rippin. (2015). the Sustainable Development Goals of the Post-2015 Agenda: Comments on the OWG and SDSN Proposals. www.die-gdi.de
[25] 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 July 10, 2015.
[26] Myers. Barry, Leon A.Kappelman, Victor R.Prybutok, (1997). A comprehensive Model for Assessing quality and productivity of the Information Systems function: Toward a theory for information Systems Assesment. Information Resources Managementjournal. Winter: 1997:10 ABI/INFORM Global P.6
[27] Namakula.S and Mayoka .K.G, (2014) Examining health information systems success factors in Uganda health care systems. Journal of global health care systems /volume 4, number 1 (2014)
[28] Petter, S., & McLean, E. R. (2009). A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information & Management, 46 (3), 159-166.
[29] Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17 (3), 236-263.
[30] 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), e22. http://doi.org/10.2196/medinform.4106
[31] Wang Y.-S., (2008)“Assessing e-commerce systems success: A respecification and validation of the DeLone and McLean model of IS success,” Information Systems Journal, vol. 18, no. 5, pp. 529-57, 2008.
[32] World Health Organization (WHO). 2015. World Health Statistics. Geneva. Available at http://www.who.int/whosis/whostat/2015/en/index.html.
[33] Ziemba, E., &Ob??k, I. (2015). Change management in information systems projects for public organizations in Poland. Interdisciplinary Journal of Information, Knowledge, and Management, 10, 47-62.
[34] Ziemba, E., Papaj, T., ?elazny,R., (2013) A Model of Success Factors for E-Government Adoption – The Case Of Poland. Issues in Information Systems, Volume 14, Issue 2, pp. 87-100.
[35] Cheok ,M, L and Wong, S (2015) Predictors of E-Learning Satisfaction in Teaching and Learning for School Teachers: A Literature Review, International Journal of Instruction January 2015.Vol.8, No.1e-ISSN: 1308-1 470.
[36] Seddon, P.B. (1997). The Arespecification of the DeLone and McLean model of IS success. Information systems research, Vol 8. No.3, September 1997
[37] Sinha, R. (2010). Impact of Health Information Technology in Public Health. Journal of Biomedical Informatics, 1(4), 223-36
[38] Peterson, D. K., Kim, C., Kim, J. H. and Tamura, T. (2002). The Perception of Information Systems Designers from the United States, Japan, and Korea on Success and Failure Factors. International Journal of Information Management, 22(6), 421 -439.
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Published
2016-10-10
How to Cite
Muhaise, H., & Ejiri, D. A. H. (2016). Factors Influencing District Health Information Software Version 2 Success – A Case of the Greater Bushenyi Districts, Uganda. American Scientific Research Journal for Engineering, Technology, and Sciences, 26(1), 166–176. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/1815
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