Paper ID
3072
Paper Type
short
Description
In recent years, the use of Information and Communication Technologies (ICTs) and to improve disease surveillance has been on the increase. This is in line with the notion that ICTs improve timeliness, availability and quality of public health data. Sub-Saharan Africa (SSA) is burdened with increasing health challenges and poor health infrastructure. Thus, an explosion of ICT-based health surveillance interventions to curb these challenges. However, despite the implementation of these interventions, important questions around the effectiveness and sustainability still remain. This study proposes a realist evaluation of disease surveillance intervention outcomes from a sustainability perspective to uncover what works, for whom, under what conditions and why? We also discuss how the complex adaptive systems theory and affordance theory provide a lens for investigating this phenomenon. The results of this study will contribute to the evidence based movement for Information Systems (IS) research and practice in SSA.
Recommended Citation
Mustapha, Bashir; Longe, Olumide Babatope; and Kah, Muhammadou M.O., "A Realist Evaluation of the Sustainability of Disease Surveillance Intervention Outcomes in Sub-Saharan Africa" (2019). ICIS 2019 Proceedings. 25.
https://aisel.aisnet.org/icis2019/is_health/is_health/25
A Realist Evaluation of the Sustainability of Disease Surveillance Intervention Outcomes in Sub-Saharan Africa
In recent years, the use of Information and Communication Technologies (ICTs) and to improve disease surveillance has been on the increase. This is in line with the notion that ICTs improve timeliness, availability and quality of public health data. Sub-Saharan Africa (SSA) is burdened with increasing health challenges and poor health infrastructure. Thus, an explosion of ICT-based health surveillance interventions to curb these challenges. However, despite the implementation of these interventions, important questions around the effectiveness and sustainability still remain. This study proposes a realist evaluation of disease surveillance intervention outcomes from a sustainability perspective to uncover what works, for whom, under what conditions and why? We also discuss how the complex adaptive systems theory and affordance theory provide a lens for investigating this phenomenon. The results of this study will contribute to the evidence based movement for Information Systems (IS) research and practice in SSA.