Evidence map›Paper›PMID 38753739›Full record

ArticlePLOS global public health2024

Defining a malaria diagnostic pathway from innovation to adoption: Stakeholder perspectives on data and evidence gaps.

Bryony Simmons, Elisa Sicuri, Jane Carter, Asrat Hailu, Francois Kiemde, Petra Mens, Davis Mumbengegwi, Bakri Nour, René Paulussen, Henk Schallig and 3 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Bryony SimmonsLSE Health, London School of Economics and Political Science, London, United Kingdom.ORCID https://orcid.org/0000-0002-3207-9935
Elisa SicuriLSE Health, London School of Economics and Political Science, London, United Kingdom.ORCID https://orcid.org/0000-0002-2499-2732
Jane CarterAmref Health Africa Headquarters, Nairobi, Kenya.
Asrat HailuAddis Ababa University, Addis Ababa, Ethiopia.
Francois KiemdeClinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso.ORCID https://orcid.org/0000-0001-8828-5749
Petra MensAmsterdam Institute for Immunology and Infectious Diseases, Infectious Diseases Programme, Amsterdam, The Netherlands.
Davis MumbengegwiCentre for Research Services, University of Namibia, Windhoek, Namibia.
Bakri NourBlue Nile National Institute for Communicable Diseases, University of Gezira, Wad Medani, Sudan.
René PaulussenMondial Diagnostics, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-9533-5000
Henk SchalligAmsterdam Institute for Immunology and Infectious Diseases, Infectious Diseases Programme, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-7096-6279
Halidou TintoClinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso.ORCID https://orcid.org/0000-0002-0472-3586
Norbert van DijkAmsterdam Institute for Immunology and Infectious Diseases, Infectious Diseases Programme, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-4747-090X
Lesong ContehLSE Health, London School of Economics and Political Science, London, United Kingdom.ORCID https://orcid.org/0000-0002-0719-3672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaria, a major global health concern, requires effective diagnostic tools for patient care, disease control, and elimination. The pathway from concept to the adoption of diagnostic products is complex, involving multiple steps and stakeholders. To map this process, our study introduces a malaria-specific diagnostic pathway, synthesising existing frameworks with expert insights. Comprising six major stages and 31 related activities, the pathway retains the core stages from existing frameworks and integrates essential malaria diagnostic activities, such as WHO prequalification processes, global stakeholder involvement, and broader health systems considerations. To understand the scope and availability of evidence guiding the activities along this pathway, we conducted an online survey with 113 participants from various stages of the malaria diagnostic pathway. The survey assessed perceptions on four critical attributes of evidence: clear requirements, alignment with user needs, accuracy and reliability, and public and free availability. It also explored the types of evidence used and the challenges and potential solutions related to evidence generation and use. Respondents reported using a broad range of formal and informal data sources. Findings indicated differing levels of agreement on the attributes across pathway stages, with notable challenges in the Approvals and Manufacturing stage and consistent concerns regarding the public availability of data/evidence. The study offers valuable insights for optimising evidence generation and utilisation across the malaria diagnostic pathway. It highlights the need for enhanced stakeholder collaboration, improved data availability, and increased funding to support effective evidence generation, sharing, and use. We propose actionable solutions, including the use of public data repositories, progressive data sharing policies, open-access publishing, capacity-building initiatives, stakeholder engagement forums, and innovative funding solutions. The developed framework and study insights have broader applications, offering a model adaptable for other diseases, particularly for neglected tropical diseases, which face similar diagnostic challenges.

Identifiers

PMID38753739
PMCPMC11098419

What Socratic holds

Textmetadata
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 Socratic graph.