Model for context-fitting mobile services for monitoring delivery of public health services

Authors

  • Fredrick Mutungi
  • Fredrick Mutungi
  • Rehema Baguma
  • Dr. Annabella Habinka Dorothy Basaza-Ejiri

DOI:

https://doi.org/10.47672/ajdikm.660

Keywords:

contextual factors; mobile technologies; public health service delivery; model for context-fitting mobile services

Abstract

Purpose: The study aimed at establishing the contextual factors affecting performance of mobile services for monitoring delivery of public health services in Uganda.

Methodology: The study used a qualitative research design in an interpretivist paradigm where the identified factors were subjected to analysis using documentary evidence and qualitative data from interviews. Using purposive sampling, six case studies among institutions responsible for monitoring health service delivery in Uganda were selected. Data was categorized through creating code families, grouping codes with similar attributes into broad categories and represent a higher order grouping of data from which the researcher began to build conceptual model and categories continued until saturation point.

Findings: It was established that lack of power for charging mobile devices, limited content and coverage of data captured by mobile technologies, limited man power, knowledge and skills of using mobile technologies and poor attitude of health workers, general nature of some mobile technologies, language barrier, poor connectivity and reliability of mobile and internet networks,  insufficient supplies of health data collection and processing tools affect the performance of mobile services for monitoring delivery of public health services in Uganda.

Contribution to policy and practice: The study significantly contributes to a large body of knowledge in the adoption and use mobile technologies in monitoring delivery of public health services that has been less investigated in Uganda.

Downloads

Download data is not yet available.

Author Biographies

Fredrick Mutungi

Department of Computer Science, Faculty of Computing and Informatics, Mbarara University of Science and Technology, Uganda

Fredrick Mutungi

Department of Computer Science, Faculty of Computing and Informatics, Mbarara University of Science and Technology, Uganda

Rehema Baguma

Department of Information Systems, School of Computing and Informatics Technology, Makarere University, Uganda

Dr. Annabella Habinka Dorothy Basaza-Ejiri

Department of Information Technology, School of Computing and Informatics Technology, College of Computing and Information Systems, Makerere University

References

Abdillah, W., & Saepullah, A. (2018). Model Technology to Performance Chain (TPC) in Implementing Accrual-Based Sistem Informasi Manajemen Daerah (SIMDA) Finance: Empirical Evidence from Local Government of Indonesia. Jurnal Dinamika Manajemen, 9(1), 56-68. https://doi.org/10.15294/jdm.v9i1.14652

Aqil, A., Lippeveld, T., & Hozumi, D. (2009). PRISM framework: A paradigm shift for designing, strengthening and evaluating routine health information systems. Health Policy and Planning, 24(3), 217-228. https://doi.org/10.1093/heapol/czp010

Bhatnagar, S. (2014). Public Service Delivery: Role of Information and Communication Technology in Improving Governance and Development Impact. Asian Development Bank. Retrieved from http://www.adb.org/sites/default/files/publication/31238/ewp-391.pdf

Cummins, M., & Huddleston, B. (2013). Real time monitoring for the most vulnerable: UNICEF's experience in Uganda. IDS Bulletin, 44(2), 57-68.

D'Ambra, J., Wilson, C. S., & Akter, S. (2013). Application of the task-technology fit model to structure and evaluate the adoption of E-books by academics. Journal of the American Society for Information Science and Technology, 64(1), 48-64. https://doi.org/10.1002/asi.22757

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Ebo, I. O., Amosa, B. M. G., & Adenusi, D. A. (2012). Information and Communication Technology ( ICT ), and Rural Development in Nigeria. 2(11), 1-4.

Egberi, A. E., & Madumelu, C. (2014). Corruption and Service Delivery in Local Government System in Nigeria: A Content Analysis. International Journal of Business and Social Science, 5(10).

Gebauer, J., & Ginsburg, M. (2006). Exploring the Black Box of Task-Technology Fit: The Case of Mobile Information Systems. Working Papers, (WeB 2006).

Gebauer, J., Shaw, M. J., & Gribbins, M. L. (2010a). Task-technology fit for mobile information systems. Journal of Information Technology, 25(3), 259-272. https://doi.org/10.1057/jit.2010.10

Gebauer, J., Shaw, M. J., & Gribbins, M. L. (2010b). Task-technology fit for mobile information systems. Journal of Information Technology, 25(3), 259-272. https://doi.org/10.1057/jit.2010.10

Gebauer, J., & Tang, Y. (2008). Applying the theory of task-technology fit to mobile technology: The role of user mobility. International Journal of Mobile Communications, 6(3), 321-344. https://doi.org/10.1504/IJMC.2008.017514

Gorman, G. E., Clayton, P. R., Shep, S. J., & Clayton, A. (2005). Qualitative research for the information professional: A practical handbook. Facet Publishing.

Goodhue andThompson. (1995). Task-Technology Fit. MIS Quarterly, 19(2), 213-236. https://doi.org/10.1074/jbc.M110.194316

Helbig, N. C., Gil-García, J. R., & Ferro, E. (2005). Understanding the complexity in electronic government: Implications from the digital divide literature. Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale, 2, 745-755.

Hellström, J. (2010). Using ICT to combat corruption-tools, methods and result. In Increasing Transparency & Fighting Corruption Trough ICT Empowering People & Communities.

Holeman, I., Cookson, T., & Pagliari, C. (2016). Digital technology for health sector governance. Journal of Global Health, [In print].

Horner, R. H., Blitz, C., Ross, S. W. (2014). The importance of contextual fit when implementing evidence-based interventions [Assistant Secretary for Planning and Evaluation Issue brief]. https://aspe.hhs.gov/pdf-report/importance-contextual-fit-when-implementing-evidence-based-programs

Humphreys, P. C. (1998). Improving Public Service Delivery (Vol. 7). Institute of Public Adminis-tration.

Junglas, I., Abraham, C., & Ives, B. (2009). Mobile technology at the frontlines of patient care: Understanding fit and human drives in utilization decisions and performance. Decision Support Systems, 46(3), 634-647. https://doi.org/10.1016/j.dss.2008.11.012

Kiberu, V. M., Matovu, J. K. B., Makumbi, F., Kyozira, C., Mukooyo, E., & Wanyenze, R. K. (2014). Strengthening district-based health reporting through the district health management information software system : the Ugandan experience. 1-9.

Lai, P. C. (2016). Design and Security impact on consumers' intention to use single platform E-payment. Interdisciplinary Information Sciences, 22(1), 111-122.

Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. JISTEM-Journal of Information Systems and Technology Management, 14(1), 21-38.

Li, Q., & Luximon, Y. (2018). Understanding older adults' post-adoption usage behavior and perceptions of mobile technology. International Journal of Design, 12(3).

Mackey, T. K., & Cuomo, R. E. (2020). An interdisciplinary review of digital technologies to facilitate anti-corruption, transparency and accountability in medicines procurement. Global Health Action, 13(sup1), 1695241.

McGill, T. J., & Klobas, J. E. (2009). A task-technology fit view of learning management system impact. Computers and Education, 52(2), 496-508. https://doi.org/10.1016/j.compedu.2008.10.002

Mutungi, Fredrick, Baguma, R., & Janowski, T. (2019). Towards digital anti-corruption typology for public service delivery. ACM International Conference Proceeding Series, 484-494. https://doi.org/10.1145/3325112.3325266

Osang, F. B., Abinwi, N., & Tsuma, C. (2015). Reviewing Information Systems Usage and Performance Models. 6(1), 476-484.

Ringold, D.; Holla, A.; Koziol, M. and Srinivasan, S. (2012). Citizens and Service Delivery: Assessing the Use of Social Accountability Approaches in Human Development, Washington DC: World Bank

Roberts, J. A., Hann, I.-H., & Slaughter, S. A. (2006). Understanding the motivations, participation, and performance of open source software developers: A longitudinal study of the Apache projects. Management Science, 52(7), 984-999.

Salehan, M., Kim, D. J., & Kim, C. (2017). Use of online social networking services from a theoretical perspective of the motivation-participation-performance framework. Journal of the Association for Information Systems, 18(2), 1.

Vatanasakdakul, S., D'Ambra, J., & Ramburuth, P. (2010). It doesn't fit! the influence of culture on B2B in Thailand. Journal of Global Information Technology Management, 13(3), 10-38. https://doi.org/10.1080/1097198X.2010.10856518

Vian, T. (2008). Review of corruption in the health sector: theory, methods and interventions. Health Policy and Planning, 23(2), 83-94. Downloaded from http://heapol.oxfordjournals.org/ by guest on June 10, 2016

Vuolle, M. (2011). Measuring Performance Impacts of Mobile Business Services from the Customer Perspective.

World Health Organization. (2014). Strengthening accountability chains for maternal, newborn and child health in Uganda - mTrac. World Health Organization. https://doi.org/10.1162/qjec.2009.124.2.735.Credits

Downloads

Published

2021-02-19

How to Cite

Mutungi, F. ., Mutungi, F. ., Baguma, R., & Basaza-Ejiri, D. A. . . (2021). Model for context-fitting mobile services for monitoring delivery of public health services. American Journal of Data, Information and Knowledge Management, 2(1), 1–23. https://doi.org/10.47672/ajdikm.660

Issue

Section

Articles