Evidence map›Paper›PMID 41071831›Full record

ArticlePLoS neglected tropical diseases2025

Lessons from piloting and scaling a real-time DHIS2 based treatment reporting tool for mass drug administration in Nigeria.

Martins Imhansoloeva, Christian Nwosu, Omosefe Osinoiki, Sunday Isiyaku, Chukwuma Anyaike, Perpetua Amodu-Agbi, Ununumah Egbelu, Augustine Nwoye, Peter Oyinloye, Amin Umar Abdurahman and 6 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Martins ImhansoloevaSightsavers, Nigeria Country Office, Abuja, Nigeria.ORCID 0000-0002-2766-0370
Christian NwosuSightsavers, Nigeria Country Office, Abuja, Nigeria.
Omosefe OsinoikiSightsavers, Nigeria Country Office, Abuja, Nigeria.
Sunday IsiyakuSightsavers, Nigeria Country Office, Abuja, Nigeria.
Chukwuma AnyaikeNeglected Tropical Diseases Division, Federal Ministry of Health, Abuja, Nigeria.
Perpetua Amodu-AgbiNeglected Tropical Diseases Division, Federal Ministry of Health, Abuja, Nigeria.
Ununumah EgbeluNeglected Tropical Diseases Division, Federal Ministry of Health, Abuja, Nigeria.
Augustine NwoyeNeglected Tropical Diseases Division, Federal Ministry of Health, Abuja, Nigeria.
Peter OyinloyeNeglected Tropical Diseases Unit, Kwara State Ministry of Health, Ilorin, Kwara State, Nigeria.
Amin Umar AbdurahmanNeglected Tropical Diseases Unit, Jigawa State Ministry of Health, Dutse, Jigawa State, Nigeria.
Ifeoma OtijiNeglected Tropical Diseases Unit, Enugu State Ministry of Health, Enugu, Enugu State, Nigeria.
Lazarus NwekeThe Carter Centre, Enugu, Enugu, Nigeria.
Joseph KumburChristian Blind Mission, Dutse, Jigawa State, Nigeria.
Rinpan IshayaHealth and Development Support Programme, Dutse, Jigawa State, Nigeria.
Ruth DixonSightsavers, Haywards Heath, West Sussex, United Kingdom.
Sarah BartlettSightsavers, Haywards Heath, West Sussex, United Kingdom.

Funding

The Task Force for Global Health
6 · The paper itself

Abstract

backgroundMass drug administration (MDA) is the main intervention strategy for the elimination of several neglected tropical diseases (NTDs). In many endemic settings, monitoring and collation of MDA treatment data are conducted through paper-based forms and Excel-based spreadsheets. These methods are often slow, prone to errors and do not facilitate timely evidence-based decision making during and after MDA campaigns. The Nigerian National NTD programme and Sightsavers, developed a DHIS2 based platform for real-time collection, monitoring, and reporting of MDA treatment data. We piloted and scaled this DHIS2-based platform, monitoring the data quality, access, government ownership and utility of data for programmatic action at all levels.

methodsThree study areas (Jigawa, Enugu and Kwara States), with upcoming MDA campaigns were selected based on geographic spread and model of non-governmental development organisation (NGDO) implementing partner support. Following a pilot in Jigawa State, the DHIS2 platform was scaled-up across all three study areas, alongside the existing Excel-based systems. Programmatic data routinely collected via the two platforms were compared. Instances of data entry and access were monitored via the platform's metadata and a monitored helpline. Data was collected from participants through a self-administered questionnaire, field diaries and focus group discussions/key informant interviews. Quantitative data was analysed using Stata analytical software, while qualitative data was thematically analysed.

resultsThere was increased access and use of data at all levels within the DHIS2 system along with improved perceptions of government ownership of the data. Participants reported the ability to address errors and improve decision-making during campaigns as significant benefits of the platform. Scaling up DHIS2 was feasible, and similar benefits were observed in all the models of NGDO partner assistance.

conclusionThe DHIS2 platform enhanced all components of ownership, as well as demonstrated ability to be replicated in different settings. However, operating models, cultural contexts, and technical capacities across the diverse locations need to be considered when scaling up the platform.

Indexed as

Mass Drug AdministrationNeglected DiseasesHumansNigeriaPilot Projects

Identifiers

PMID41071831
PMCPMC12530614

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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.