Evidence map›Paper›PMID 40775750›Full record

ArticleBMC medical research methodology2025

Pathfinder studies: a novel tool for process mapping data-driven health research to build global research capacity.

Aashna Uppal, Frank Kagoro, Luciana Monteiro-Krebs, Flavia Thedim Costa Bueno, Larissa Pruner Marques, Sofonias Kifle Tessema, John Amuasi, Matthew Retford, Bonny Baker, Mercedes Rumi and 6 more

Abstract read
In one paragraph

Article in BMC medical research methodology, 2025. 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.

Aashna Uppal *The Global Health Network, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK. aashna.uppal@reuben.ox.ac.uk.
Frank Kagoro *The Global Health Network, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Luciana Monteiro-KrebsOswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Flavia Thedim Costa BuenoOswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Larissa Pruner MarquesOswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Sofonias Kifle TessemaAfrica Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia.
John AmuasiKumasi Center for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Matthew RetfordHealth Data Research Global (HDR Global), London, UK.
Bonny BakerThe Global Health Network, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Mercedes RumiThe Global Health Network, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Aliya NaheedInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Elvis TemfackAfrica Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia.
Cristiani Vieira MachadoOswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Agklinta KiosiaHealth Data Research Global (HDR Global), London, UK.
Paul KingpriestThe Global Health Network, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Trudie LangThe Global Health Network, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK. trudie.lang@ndm.ox.ac.uk.

Funding

Bill and Melinda Gates Foundation INV-033335Health Data Research UK-The Alan Turing Institute Wellcome PhD Programme in Health Data Science 218529/Z/19/Z
6 · The paper itself

Abstract

backgroundThere is vast global inequality regarding where health research happens, who leads the research, and who benefits from the evidence. Globally, wealthier nations drive and influence data-driven research and how it is structured institutionally. Key barriers to high-quality research being undertaken in and led by low-resource settings are well reported. These barriers persist, thereby perpetuating a lack of locally generated data and/or evidence to tackle diseases that bring the greatest burden. Our aim was to design a tool to capture best practices in the production of data-driven health research, to advance both quality and quantity of research being conducted where it is needed most.

methodsAn expert group of senior global health researchers from Asia, Africa, Europe, and Latin America and the Caribbean (LAC) convened to discuss potential solutions to addressing this imbalance in both quality and quantity of global health research. This study documents how a novel approach was developed, informed by this discussion, to support research teams in low-resource settings. The new approach, called "Pathfinder", is a process-mapping tool wherein teams document key steps of their research projects flow to produce quality data and subsequent studies.

resultsThe Pathfinder methodology is a novel tool to be used alongside planned studies to guide teams through each step of their research, from setting their research question, to identifying the best methods needed to complete each step, to translating research outputs into impactful policy and practice. It is a standardized framework, which can be applied or adapted to specific settings for research teams track to key steps, challenges, solutions, and tools throughout their planned study's process. Pathfinders can also be applied to studies that have already been completed, retroactively documenting their key components. Several global research institutes are piloting the Pathfinder methodology.

conclusionsPathfinders can help inform future studies by capturing best practices, thereby removing barriers to research, and addressing global inequality in this domain. Specifically, Pathfinders can help identify the methods and skills needed for teams to produce safe, ethical, and accurate data-driven health research.

Indexed as

Biomedical ResearchCapacity BuildingGlobal HealthResearch DesignHealth Services ResearchHumansData sciencePublic health research methodsResearch inequality

Identifiers

PMID40775750
PMCPMC12329893

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.