Operationalizing One Digital Health and FAIR Data Principles for Disease Surveillance in a Low-Medium Income Country in Africa: Qualitative Study in the Democratic Republic of the Congo.

Authors

Harvey Basivikidi, Lefilso'o Lambuku, Delphin Kayembe, Arriel Benis, Didier Bompangue

Published in

JMIR medical informatics. Volume 14. Pages e93321. Aug 05, 2026. Epub Aug 05, 2026.

Abstract

Recent crises involving zoonotic diseases (Ebola, COVID-19, and Mpox) have highlighted the limitations of fragmented public health systems for the prevention and response to health emergencies at the international and continental level, and particularly in Africa, more specifically in the Democratic Republic of the Congo (DRC). In this context, the One Health (OH) approach and its extension, One Digital Health (ODH), articulated with the findable, accessible, interoperable, reusable (FAIR) principles, offer a framework for rethinking the digital transition in health in the DRC. This study analyzes the reality of this transition in Kinshasa, DRC, and questions the feasibility of ODH in this context.
This study aimed to (1) explore how stakeholders across human, animal, and environmental health sectors perceive and experience digital tool integration and data interoperability in Kinshasa; (2) identify structural, institutional, and technical constraints affecting cross-sectoral data sharing; and (3) analyze the sociotechnical conditions required for the operationalization of ODH in a fragmented digital health (DH) context.
A qualitative study was conducted in Kinshasa, DRC, between November 10, 2025, and November 25, 2025, combining semistructured interviews with key actors (health professionals, administrative officials, digital experts, and engaged citizens) and a document review of strategic and regulatory texts related to DH in the DRC. The data were analyzed using a thematic approach to identify the representations, uses, and constraints related to DH and the operationalization of ODH.
Overall, 22 stakeholders participated (n=9, 40.9% human health; n=8, 36.4% animal health; n=4, 18.2% environmental health; n=1, 4.50% digital sector), predominantly male (n=15, 68.2%) and mainly in operational roles (n=12, 54.5%). Three interrelated topics emerged. First, a dual-track digital ecosystem characterized by the coexistence of formal platforms (eg, District Health Information Software 2 and electronic records) and informal tools (eg, WhatsApp [Meta]), with persistent paper-digital double-entry generating inefficiencies. Second, structural and governance bottlenecks, including electricity instability, limited connectivity, software incompatibility, external data-hosting concerns that affect sovereignty, and institutional silos that privilege human health over animal and environmental sectors. Third, prerequisites for operationalizing ODH emphasize foundational infrastructure (energy and internet), sustainable capacity building beyond one-off training, interoperable "bridges" between fragmented systems, and high-level political leadership. These elements were synthesized into an ODH-FAIR DRC conceptual model structured around three enabling pillars linking sectors for integrated zoonotic surveillance.
Operationalizing ODH in DRC requires addressing foundational enablers beyond tools: synchronized energy-digital policies, decompartmentalized governance, and context-adapted capacity building. These insights inform low- and middle-income countries' DH strategies, urging donors and ministries to prioritize interoperability over isolated pilots to achieve sustainable zoonotic surveillance.

PMID:
42555930
Bibliographic data and abstract were imported from PubMed on 06 Aug 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.