Evidence map›Paper›PMID 41756646›Full record

ArticleF1000Research2025

Intergovernmental Learning Exchange to Advance Data-Driven Decision Making: Experiences from Nigeria.

Agbonkhese I Oaiya, Oludare Onimode, Olaposi Olatoregun, Gibril Gomez, Bashorun Adebobola, Christopher Isokpunwu, Oladejo Folasade, Balogun Olufunke, Herman Tolentino, Brianna Musselman and 1 more

Abstract read
In one paragraph

Article in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Agbonkhese I OaiyaPATH, FCT Abuja, FCT Abuja, Nigeria.ORCID https://orcid.org/0000-0002-7327-2870
Oludare OnimodeAPIN Public Health Initiative/Public Health Information Surveillance, Systems and Solutions (PHIS3), FCT Abuja, FCT Abuja, Nigeria.
Olaposi OlatoregunAPIN Public Health Initiative/Public Health Information Surveillance, Systems and Solutions (PHIS3), FCT Abuja, FCT Abuja, Nigeria.ORCID https://orcid.org/0000-0002-2058-5400
Gibril GomezAPIN Public Health Initiative/Public Health Information Surveillance, Systems and Solutions (PHIS3), FCT Abuja, FCT Abuja, Nigeria.
Bashorun AdebobolaNational HIV/AIDS, Hepatitis and STIs Control Programme (NASCP), Federal Ministry of Health and Social Welfare, FCT Abuja, FCT Abuja, Nigeria.
Christopher IsokpunwuHealth Planning, Research and Statistics, Federal Ministry of Health and Social Welfare, FCT Abuja, FCT Abuja, Nigeria.
Oladejo FolasadeFederal Ministry of Women Affairs, FCT Abuja, FCT Abuja, Nigeria.
Balogun OlufunkeNigeria Ministry of Defence, FCT Abuja, FCT Abuja, Nigeria.
Herman TolentinoUniversity of Illinois Chicago, Chicago, Illinois, USA.
Brianna MusselmanPATH, Seattle, USA.
Sam WambuguPATH, Seattle, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nigeria has strategically invested in digital health to achieve HIV/AIDS epidemic control, meet SDG health targets, and advance towards UHC. Despite progress, challenges persist. This paper details Nigeria's commitment, in collaboration with PEPFAR, CDC, and other agencies, to address Health Information System (HIS) challenges through participation in the Intergovernmental Learning Exchange to Advance Data-Driven Decision Making (I-LEAD) programme. Methods: The I-LEAD programme followed a three-phase approach: 1) conducted an expedited Informatics-Savvy Health Organisation (ISHO) assessment to identify critical national HIS challenges; 2) enhanced informatics capabilities of selected Nigerian delegates, including a purpose-fit session, Bring Your Own Difficult Decision (BYODD), involving SMEs to collaboratively refine, contextualise and guide the localised development of actionable solutions for national HIS challenges; and 3) outlined the nation's approach to implementing the HIS solutions. Results: The expedited ISHO assessment identified five HIS challenges: governance, interoperability, data security, Electronic Medical Record (EMR) centralisation, and funding. Participating in the I-LEAD programme strengthened Nigeria's leadership technical capacity in informatics, particularly in strategic visioning and planning, with the BYODD sessions resulting in the collaborative development of localised solutions to address the five HIS challenges. In the post-I-LEAD phase, efforts focused on two of the HIS solutions. These activities are 1) improving data quality through harmonisation of value data sets, and 2) decentralising I-LEAD learning and building the capacity of Public Health Informatics (PHI) technical groups through progressive levels of Growing Expertise in E-Health Knowledge and Skills (GEEKS) training. These activities were selected because of their potential to deliver the maximum impact within the HIS ecosystem. Conclusion: Nigeria's active participation and commitment through the I-LEAD programme have strengthened its digital health agenda, leveraging health informatics to enhance healthcare delivery and achieve broader health goals. This approach can serve as a model for other developing nations facing similar health informatics hurdles.

Indexed as

Decision MakingHealth Information SystemsDigital HealthHumansNigeriaCapacity BuildingData-Driven Decision MakingDigital Health GovernanceDigital Health StrategyElectronic Medical Records (EMR)Growing Expertise in E-Health Knowledge and Skills (GEEKS)Health Information System (HIS)HHIV/AIDS ProgramsInformatics-Savvy Health Organization (ISHO)Intergovernmental Learning Exchange to Advance Data-Driven Decision Making (I-LEAD)InteroperabilityLeadership DevelopmentLow- and Middle-Income Countries (LMICs)National Data Repository (NDR)NigeriaPublic Health Informatics

Identifiers

PMID41756646
PMCPMC12933044

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.