Electronic Health Information Systems Critical Implementation Issues (E-HMIS): District Health Information Software Version.2 in the Greater Bushenyi, Uganda

Hussein Muhaise, Dr. Margret Kareeyo


This study focuses on identifying critical implementation issues for the electronic health information systems (E-HMIS) in view of District health Information Software version.2 (DHIS2) in the greater Bushenyi Districts Uganda. This is a system that was rolled out nationwide in August 2010 by Ministry of Health Uganda and for the past six years it is believed to have been operational. However, studies in the developing countries context like Uganda, E-HMIS continues suffer low success because several factors in the context of developing countries that are often not put in consideration before implementation [1, 7, 8, 11, 13, 14, 15, 20, 24, 25]. A survey conducted in the five districts that make up the greater Bushenyi indicated that there was lip frog when implementing this system across the country because vital equipment and personnel were not prepared and put in place. The percentage of staff trained and dedicated to the electronic system is so low 22%, staff un skilled in computer applications 59%,  supply computers into health facilities is very low and most health facilities are not connected to any power source that are essential for system success. 


DHIS2; DHO; DSS; E-HMIS; Greater Bushenyi Districts Uganda; HIS; Information Systems.

Full Text:



. Adesola, M. S., Baines, T. & Darlow, N. 2015. Mipim: Framework for Business Process Improvement.

. Al- Mamary&Aziat (2013). The Impact of Management Information Systems: Adoption in Managerial Decision Making: A Review of Management Information Systems. 8: 010-017

. Alvarez, R. 2011. Lessons Learned in Orchestrating a National e-health Movement. Conference.

. 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: 719-27

. Bach, Belardo, Bajwa, Kantharaju and Prasanth (2011). Factor analysis in measuring information systems Effectiveness. Proceedings of the 2011 ASEE Northeast Section

. DeLone, W.H., & McLean, E.R. (2008) Measuring e-Commerce Success: Applying the DeLone& McLean (1992) 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.

. DHIS 2 (2013). DHIS 2 Documentation. URL http://www.dhis2.org/deployements accessed December18,2015)

. Douglis,C. (2012).USAID/KenyaHMIS.URL http://kenya.usaid.gov/programs/health/1213 (accessed September 15, 2015)

. Ehab Azhary Seed Ahmed, Mohammad Nazir Ahmad, Siti Hajar Othman, 2016) Health Information System Critical Success Factors (HISCFs): A Systematic Literature Review. Journal of Information Systems Research and Innovation 10(1), 29-39, February 2016

. 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

. Heeks R. (2006). Health Information Systems: Failure, Success and Improvisation.International Journal of Medical Informatics, 75(2), 125–137.

. 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

. Kelegai, L. (2005). Elements Influencing IS Success in Developing Countries: A Case Study of Organisations in Papua New Guinea. PhD Thesis. Queensland University of Technology.

. Kiberu et al., BMC Medical informatics and Decision making 2014, 14:40 http://www.biomedcentral.com/1472-6947/14/40

. 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

. Kintu P, Nanyunja M, Nzabanita A &Magoola R: (2005). Development of HMIS in poor countries: Uganda as a case study. Health Policy Dev 2005, 3(1):46–53

. Krejcie, R.V., & Morgan, D.W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30, 607-610. Retrieved May 2, 2016, from http://people.usd.edu/~mbaron/edad810/Krejcie.pdf

. Krishna, S. and Walsham, G. (2005). Implementing Public Information Systems in Developing Countries: Learning From a Success Story. Information Technology for Development. 11(2):123-144

. Lippeveld T &Sauerborn R (2000). A framework for designing health information system. Design and Implementation of Health Information Systems. Geneva, World Health Organisation: 15-31.

. 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

. 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.

. 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)

. Paul Mukasa Ssemaluulu (2012). An Instrument to Assess Information Systems Success in Developing Countries, Phd Thesis , University of Groningen, Netherlands

. 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.

. Seddon, P.B. (1997). The A respecification of the DeLone and McLean model of IS success. Information systems research, 8:3

. Sinha, R. (2010). Impact of Health Information Technology in Public Health. Journal of Biomedical Informatics, 1(4), 223-36

. 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 Health Organization (WHO). 2015. World Health Statistics. Geneva. Available at http://www.who.int/whosis/whostat/2015/en/index.html.

. Ziemba, E., &Obłąk, I. (2015). Change management in information systems projects for public organizations in Poland. Interdisciplinary Journal of Information, Knowledge, and Management, 10, 47-62.

. Ziemba, E., Papaj, T., Żelazny,R., (2013) A Model of Success Factors for E-Government Adoption – The Case Of Poland. Issues in Information Systems, 14(2). 87-100.


  • There are currently no refbacks.




About ASRJETS | Privacy PolicyTerms & Conditions | Contact Us | DisclaimerFAQs 

ASRJETS is published by (GSSRR).