FACTORS INFLUENCING IMPLEMENTATION OF HEALTH MANAGEMENT INFORMATION SYSTEM IN PUBLIC HEALTH FACILITIES IN PUNT LAND STATE, SOMALIA
Abstract
The adoption and utilization of Health Management Information System in Somalia is very low. It is characterized by a myriad of challenges such as low rate of government investment in the systems, low level of technical capacity in handling information (collecting, analysis, dissemination), and lack of or poorly drafted HMIS strategies. The study sought to interrogate the factors influencing implementation of Health Management Information System in Public Health Facilities at in Punt Land State, Somalia. The study also sought to establish the effect of technological factors, organizational factors, environmental factors and human factors on implementation of Health Management Information System in Public Health Facilities in Punt Land State, Somalia. The study adopted a descriptive research design. The target population was 834 pharmacists, registered nurses and hospital administrators in public health facilities in Puntland state. Stratified simple random sampling was used in the selection of 270 staff working in Puntland state. Data was collected by use of a semi structured questionnaire. Data was analyzed by use of descriptive and inferential statistics with the help of SPSS version 24.0. The results indicated that technological factors, organizational factors and human factors have positive and significant effect on the implementation of HMIS in public health facilities in Punt Land State, whereas environmental factors had a negative effect on the implementation of HMIS in public health facilities in Punt Land State, Somalia. The study also found that human factors have a positive and significant effect on the implementation of HMIS in public health facilities in Punt Land State, Somalia. The study recommends that the management of the health facilities should ensure a well-established infrastructure system. Further, the management of health facilities should ensure continuous improvement of WAN infrastructure. Also, the study recommends that Punt Land State should increase the allocation of financial resources to the implementation of Health Management Information System. Further, the local government of Punt Land State should ensure an improvement in the adoption and implementation of HMIS. This will play a key role in ensuring a reduction in information mismanagement.
Keywords: Technological Factors, Human Factors, Environmental Factors, Health Facilities
Full Text:
PDFReferences
Abramson, E.L., McGinnis, S., Edwards, A., Maniccia, D.M., Moore, J., Kaushal, R. (2012). Electronic health record adoption and health information exchange among hospitals in New York State. Journal of Evaluation in Clinical Practice, 18(6), 1156–1162.
Ahmadi, H., Nilashi, M., Shahmoradi, L., Ibrahim, O., Sadoughi, F., Alizadeh, M., & Alizadeh, A. (2018). The moderating effect of hospital size on inter and intra-organizational factors of Hospital Information System adoption. Technological Forecasting and Social Change, 134, 124-149.
Ahmadi.H, Nilashi.M, Shahmoradi.L, & Ibrahim.O. (2017). Hospital Information System adoption: Expert perspectives on an adoption framework for Malaysian public hospitals. Computers in Human Behaviour, 6, 161-189.
Alipour, J., Karimi, A., Ebrahimi, S., Ansari, F., & Mehdipour, Y. (2017). Success or failure of hospital information systems of public hospitals affiliated with Zahedan University of Medical Sciences: A cross sectional study in the Southeast of Iran. International journal of medical informatics, 108, 49-54.
Al-Tit, A. A. (2016). Management information systems in public institutions in Jordan. Management, 7(7).
Arora, L., & Ikbal, F. (2023). Experiences of implementing hospital management information system (HMIS) at a tertiary care hospital, India. Vilakshan-XIMB Journal of Management, 20(1), 59-81.
Askar, A., Ardakani, M., & Majdzade, R. (2017). Bridging gaps in health information systems: a case study from Somaliland, Somalia. Eastern Med Health J, 23(11), 764-773.
Awa.H.O, & Ojiabo.O.U. (2011). A model of adoption determinants of ERP within TOE framework. Information Technology and People, 29(4), 901-930.
Azogu, I., Norta, A., Papper, I., Longo, J., & Draheim, D. (2019). A Framework for the Adoption of Blockchain Technology in Healthcare Information Management Systems: A Case Study of Nigeria. In Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance (pp. 310-316).
Baker, M. J. (2000). Selecting a research methodology. The marketing review, 1(3), 373-397.
Batra, R., & Pall, A. S. (2015). Adoption and assessment of hospital information systems: A study of hospitals in Jalandhar. Asia-Pacific Journal of Management Research and Innovation, 11(3), 205-218.
Batra, R., & Pall, A. S. (2015). Adoption and assessment of hospital information systems: A study of hospitals in Jalandhar. Asia-Pacific Journal of Management Research and Innovation, 11(3), 205-218.
BMC Health Services Research. (2023). Understanding performance data: health management information system data accuracy in Southern Nations Nationalities and People’s Region, Ethiopia.
Bozak, M. G. (2013). Using Lewin’s force field analysis in implementing a nursing information system. CIN: Computers, Informatics, Nursing, 21(2), 80-85.
Callen, J. L., Braithwaite, J., & Westbrook, J. I. (2008). Contextual implementation model: a framework for assisting clinical information system implementations. Journal of the American Medical Informatics Association, 15(2), 255-262.
Chawla, D., & Sodhi, N. (2011). Research methodology: Concepts and cases. Vikas Publishing House.
Chinthapalli.K. (2017). The hackers holding hospitals to ransom. BMJ, 357.
Clohessy, T., & Acton, T. (2019). Investigating the influence of organizational factors on blockchain adoption: An innovation theory perspective. Industrial Management & Data Systems.
Crepaldi, N. Y., de Lima, I. B., Vicentine, F. B., Rodrigues, L. M. L., Sanches, T. L. M., Ruffino-Netto, A., & Rijo, R. P. C. L. (2018). Towards a clinical trial protocol to evaluate health information systems: evaluation of a computerized system for monitoring tuberculosis from a patient perspective in Brazil. Journal of medical systems, 42(6), 1-8.
Cresswell, K., & Sheikh, A. (2013). Organizational issues in the implementation and adoption of health information technology innovations: an interpretative review. International journal of medical informatics, 82(5), e73-e86.
DiMaggio, P. J., & Powell, W. W. (1983). And collective rationality in organizational fields. American Sociological Review, 48(2), 147-160.
DiMaggio.P.J, & Powell.W.W. (1983). The iron cage revisited: Institutional isomorpHMISm and collective rationality in organisational fields. American Sociology Review, 48(2), 147-160.
Farzandipur, M. (2016). Factors affecting successful implementation of hospital information systems. Acta Informatica Medica, 24(1), 51.
Farzandipur, M. (2016). Factors affecting successful implementation of hospital information systems. Acta Informatica Medica, 24(1), 51.
Farzandipur, M. (2016). Factors affecting successful implementation of hospital information systems. Acta Informatica Medica, 24(1), 51.
Farzandipur, M. (2016). Factors affecting successful implementation of hospital information systems. Acta Informatica Medica, 24(1), 51.
Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of enterprise information management.
Gebre-Mariam, M., & Bygstad, B. (2019). Digitalization mechanisms of health management information systems in developing countries. Information and Organization, 29(1), 1-22.
Gibb.L, & Kraemar.K. (2004). A cross-country investigation of determinants of scope of e-commerce use: An institutional approach. Electronic Markets, 14(2), 124-137.
Goddard, W., & Melville, S. (2004). Research methodology: An introduction. Juta and Company Ltd.
Hagland.M. (2016). With the ransomware crisis, the landscape of data security shifts in healthcare. Journal of Health Information, 33(3), 41-47.
Hameed, M. A., Counsell, S., & Swift, S. (2012). A meta-analysis of relationships between organizational characteristics and IT innovation adoption in organizations. Information & management, 49(5), 218-232.
Hsu.P.F, Kraemar.K.L, & Dunkle.D. (2006). Determinants of e-Business use in US firms. International Journal of Electronic Commerce, 10(4), 9-45.
Kalayou, M. H., Endehabtu, B. F., & Tilahun, B. (2020). The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings. Journal of Multidisciplinary Healthcare, 13, 1827.
Khalifa, M. (2014). Technical and human challenges of implementing hospital information systems in Saudi Arabia. Journal of Health Informatics in Developing Countries, 8(1).
Khalifa, M. (2014). Technical and human challenges of implementing hospital information systems in Saudi Arabia. Journal of Health Informatics in Developing Countries, 8(1).
Khalifa, M., & Alswailem, O. (2015). Hospital information systems (HMIS) acceptance and satisfaction: a case study of a tertiary care hospital. Procedia Computer Science, 63, 198-204.
Kim, M. S., Seok, J. H., & Kim, B. M. (2020). Mediating role of the perceived benefits of using a medication safety system in the relationship between transformational leadership and the medication-error management climate. Journal of Research in Nursing, 25(1), 22-34.
Kithinji, A. K. (2018). Factors Influencing Implementation of Health Management Information System in Public Hospitals: A Case of Meru Teaching and Referral Hospital, Meru County, Kenya (Doctoral dissertation, University of Nairobi).
Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International.
Kuyo, R. O., Muiruri, L., & Njuguna, S. (2018). Organizational factors influencing the adoption of the district health information system 2 in Uasin Gishu County, Kenya. Int J Med Res Heal Sci, 7(10), 48-57.
Lacovou.C.L, Benbasat.I, & Dexter.A.S. (1995). Electronic data interchange and small organisations: adoption and impact of technology. MIS Quarterly, 19(4), 465-485.
Lee, G., & Xia, W. (2016). Organizational size and IT innovation adoption: A meta-analysis. Information & Management, 43(8), 975-985.
Lin.H.F. (2014). Understanding the determinants of electronic supply chain management system adoption: Using the technology-organisation-environment framework. Technological Forecasting & Social Change,
MDPI. (2023). A Systematic Literature Review of Health Information Systems for Healthcare
MEASURE Evaluation. (2023). Health Management Information Systems (HMIS).
Moehr.J.R. (2003). Evaluation: salvation or nemesis of medical informatics? Computers in Biology and Medicine, 32(3), 113-125.
Mutale, W., Chintu, N., Amoroso, C., Awoonor-Williams, K., Phillips, J., Baynes, C., ... & Sherr, K. (2013). Improving health information systems for decision making across five sub-Saharan African countries: Implementation strategies from the African Health Initiative. BMC health services research, 13(2), 1-12.
Nguyen, L., Bellucci, E., & Nguyen, L. T. (2014). Electronic health records implementation: an evaluation of information system impact and contingency factors. International journal of medical informatics, 83(11), 779-796.
Noor, K. B. M. (2008). Case study: A strategic research methodology. American journal of applied sciences, 5(11), 1602-1604.
Oliveira, T., & Martins, M. F. (2010). Information technology adoption models at firm level: review of literature.The European Conference on Information Systems Management (p. 312). Academic Conferences International Limited.
Oliveira.T, & Martin.M.F. (2011). Literature Review of Informattion Technology adoption Models at Firm Level. The Electronic Journal Information Systems Evaluation, 14(1), 110-121.
Ørngreen, R., & Levinsen, K. (2017). Workshops as a Research Methodology. Electronic Journal of E-learning, 15(1), 70-81.
Parker.C, & Castleman.T. (2009). Small firm e-business adoption: a critical analysis of theory. Journal of Enterprise Information Management, 22(1/2), 167-182.
Rogers.E.M. (1995). Diffusion of Innovations (4 ed.). Ne York: Free Press.
Rogers.E.M. (2003). Difussion of Innovations (5 ed.). New York: Free Press.
Rowe.K. (2016). IT transformation: how has ransomware shifted the landscape of healthcare data security? Health Information, 33(3), 44-45.
Rumambi, F. R., Santoso, A. J., & Setyohadi, D. B. (2017). Identification of Factors Influencing the Success of Hospital Information System (SIRS) by Hot-Fit Model 2006: A Case Study of RSUD Dr Samratulangi Tondano, Minahasa Regency, North Sulawesi. In 2017 International Conference on Soft Computing, Intelligent System and Information Technology (ICSIIT) (pp. 202-207). IEEE.
Sagiroglu, O., & Ozturan, M. (2006). Implementation difficulties of hospital information systems. Information Technology Journal, 5(5), 892-899.
Singh, Y. K. (2006). Fundamental of research methodology and statistics. New Age International.
Somaliland HMIS (2016). Annual health report 2016 (unpublished).
Srivastava, S. K. (2016). Adoption of electronic health records: a roadmap for India. Healthcare informatics research, 22(4), 261.
Stansfield, S., Orobaton, N., Lubinski, D., Uggowitzer, S., & Mwanyika, H. (2018). The case for a national health information system architecture; a missing link to guiding national development and implementation. Making the eHealth Connection, Bellagio.
Teo.T.S.H, Lin.S, & Lai.K.H. (2009). Adopters and non-adopters of e-Procurement in Singapore: an empirical study. Omega, 37(5), 972-987.
Tonartzky.L.G, & Fleischer.M. (1990). The processes of Technology Innovation. Lexington, MA.: Lexington Books.
UNICEF (2015). Health system; strengthening for Somali people: a workshop report 1. Geneva:
UNICEF; 2015 (https://www.unicef.org/somalia/SOM_resources_hss.pdf).
VanBemmel.J.H, & Musen.M.A. (1997). A Handbook of Medical Informatics. Heidelberg: Springer-Verlag.
Vest, J. R. (2010). More than just a question of technology: Factors related to hospitals’ adoption and implementation of health information exchange. International journal of medical informatics, 79(12), 797-806.
Walker.H, & Jones.N. (2012). Sustainable supply chain management across the UK private sector. International Journal of Supply Chain Management, 17(1), 15-28.
Wang, B. B., Wan, T. T., Burke, D. E., Bazzoli, G. J., & Lin, B. Y. (2015). Factors influencing health information system adoption in American hospitals. Health care management review, 30(1), 44-51.
WHO(2008). Information Management. Geneva: World Health Organisation.
Yusof.M.M, Paul.R.J, & Stergioulas.L.K. (2006). Towards a framework for Helath Information Systems evaluation. International Conference on System Sciences (pp. 1-10). Hawaii: IEEE.
Zhu, K, Kraemar.K.L, & Xu.S. (2003). Electronic business adoption by European firms: a cross-country assessment of facilitators and inhibitors. European Journal of Information Systems, 12(4), 251-268.
Refbacks
- There are currently no refbacks.