Evidence map›Paper›PMID 41659057›Full record

ArticleDigital health

Transitioning of the maternal and newborn health surveillance online digital health (MATSurvey) platform from a research institution to the government DHIS2 tracker.

Laura Munthali, Lumbani Makhaza, Annie Kuyere, Chifundo Ndamala, Mtisunge Gondwe, Blessings Kamanga, Samson Mphamba, Bertha Maseko, Chifundo Kondoni, Luis Gadama and 6 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Laura MunthaliMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.ORCID https://orcid.org/0000-0002-1871-6344
Lumbani MakhazaMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Annie KuyereMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Chifundo NdamalaMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Mtisunge GondweMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Blessings KamangaDigital Health Division, Ministry of Health, Quality Management Directorate, Lilongwe, Malawi.
Samson MphambaMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Bertha MasekoMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Chifundo KondoniMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Luis GadamaMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Thokozani Namale GanizaMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Alfred MuyayaMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Malangizo MbeweQuality Management Directorate, Government of Malawi, Ministry of Health, Lilongwe, Malawi.
Rosemary BilesiReproductive Health Directorate, Government of Malawi, Ministry of Health, Lilongwe, Malawi.
David LissauerMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Linda Alinane Nyondo-MipandoMaternal and Fetal Health Group, Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The successful transition of a digital platform from a research institution to a government system in under-resourced environments necessitates effective cooperation among various stakeholders and a strong sense of responsibility from both the Malawi Ministry of Health (MoH) and all users. The article aims to describe the implementation and lessons learned in transitioning a maternal surveillance digital platform (MATSurvey) from a research-based to a government-owned system in Malawi. Methods: The transition process involved active participation of the MoH leadership and close cooperation with healthcare workers and partners. The process comprised six stages, including stakeholder engagement, user feedback, system design, obtaining stakeholder input on the design, system development and testing, piloting and full implementation. The process emphasised stakeholder engagement, with technical teams from the MoH and Malawi Liverpool Wellcome Programme incorporating feedback during development. Results: The successful transition of the MATSurvey platform from the Malawi Liverpool Wellcome Programme to the Digital Health Information System 2 tracker required strong leadership from the MoH, active engagement of partners and stakeholders, and a gradual, inclusive process. Challenges such as reliance on donor funding and delays in government support were notable, while ensuring clear data governance policies, system scalability, effective communication, and comprehensive training contributed to a smoother transition and successful adoption. Conclusion: Transitioning of a digital health platform such as the MATSurvey platform requires strong leadership and supervision to ensure adoption, acceptance and ownership. The active involvement of MoH, partners and stakeholders accelerated transitioning of the platform despite challenges in funding, which ultimately resulted in delaying the process.

Indexed as

DHIS2DHIS2 trackerdigitalmaternalstakeholderTransition

Identifiers

PMID41659057
PMCPMC12881334

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.