Becoming Infrastructure: A Critical Realist Account of the Evolution of DHIS2 as Digital Public Health Infrastructure in Sierra Leone
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3757400.pdf
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Author(s)
Ndubuisi-Obi, Innocent
Chen, Nuole
Tsai, Lily
Date Issued
October 16, 2025
Journal
Proceedings of the ACM on Human-Computer Interaction
Publisher
ACM
Citation
Innocent C. Ndubuisi-Obi Jr, Nuole Chen, and Lily L. Tsai. 2025. Becoming Infrastructure: A Critical Realist Account of the Evolution of DHIS2 as Digital Public Health Infrastructure in Sierra Leone. Proc. ACM Hum.-Comput. Interact. 9, 7, Article CSCW219 (November 2025), 46 pages.
Version
Final published version
Abstract
Today, the District Health Information System 2 (DHIS2) has become the de-facto standard for open-source health management information systems and Sierra Leone's status as the first country in sub-Saharan Africa to implement DHSI2 makes it a productive place for researchers interested in understanding the end-to-end process of infrastructuring in a low-resource bureaucratic setting. In this article, we examine its design, implementation, and maintenance in Sierra Leone over a period of 14 years - from 2008 to 2022. We present an intensive case study discretized by three morphogenetic cycles (decentralization, centralization, and fragmentation) and furnished with explanatory account's of DHIS2's evolution using a critical realist research methodology to describe the emergence of DHIS2 as digital public health infrastructure. These accounts highlight the structural and cultural systems of DHIS2, their elaborations, and their interaction with agents over successive periods of DHIS2's evolution. Our study finds that, despite its continued use in Sierra Leone, the increasing generativity in the structural and cultural systems of DHSI2 and Sierra Leone’s public health system engenders a persistent instability that requires continuous resolution. Though we find that extant literature aids in our understanding of DHIS2’s evolution, we proffer two mechanisms, infrastructural capture and socio-technical debt, which aid our explanation of events observed in our case study. Our work makes a case for more ontologically-diverse theorizing of bureaucracy-aware computing systems.
MIT Department
Massachusetts Institute of Technology. Department of Political Science
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DOI of Published Version
https://doi.org/10.1145/3757400
