Evidence map›Paper›PMID 40700437›Full record

ArticlePLOS global public health2025

Barriers and facilitators to digital technology application for antimicrobial resistance surveillance: A co-produced qualitative synthesis.

Ayodele Akinyele, Emmanuel Olamijuwon, Abeeb A Adeniyi, Oluwatobiloba S Kazeem, Michael Popoola, Tochukwu C Agboeze, Iruka N Okeke

Abstract read
In one paragraph

Article in PLOS global public health, 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. Article
  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

7 authors.

Ayodele AkinyeleDepartment of Pharmaceutical Microbiology, Global Health Research Unit for Genomic Surveillance of Antimicrobial Resistance, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0009-0004-3375-1000
Emmanuel OlamijuwonSchool of Geography and Sustainable Development, University of St Andrews, Scotland, United Kingdom.ORCID https://orcid.org/0000-0002-6109-8131
Abeeb A AdeniyiDepartment of Pharmaceutical Microbiology, Global Health Research Unit for Genomic Surveillance of Antimicrobial Resistance, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo State, Nigeria.
Oluwatobiloba S KazeemDepartment of Pharmaceutical Microbiology, Global Health Research Unit for Genomic Surveillance of Antimicrobial Resistance, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo State, Nigeria.
Michael PopoolaNigeria Centre for Disease and Control, NCDC, Abuja, Nigeria.
Tochukwu C AgboezeDepartment of Pharmaceutical Microbiology, Global Health Research Unit for Genomic Surveillance of Antimicrobial Resistance, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0000-0001-6983-4255
Iruka N OkekeDepartment of Pharmaceutical Microbiology, Global Health Research Unit for Genomic Surveillance of Antimicrobial Resistance, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo State, Nigeria.ORCID https://orcid.org/0000-0002-1694-7587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The systematic collection, analysis, and interpretation of antimicrobial resistance (AMR) data are imperative to quantify the AMR burden, monitor and identify emerging AMR, and inform global, international, and national health strategies and guidelines. Despite ongoing global efforts to improve surveillance capacities across Nigeria and other African countries, laboratory information management systems (LIMS) that could improve data quality, and completeness remain underutilized. We used a participatory research approach, drawing on the unique experiences of various stakeholders, such as data analysts, laboratory scientists, infection prevention and control specialists, medical doctors, and representatives from the National Coordinating Center in Nigeria. Over two phases of evidence synthesis, involving in-depth interviews and a participatory co-design workshop, we sought to understand the experiences of key stakeholders in using the LIMS tool, WHONET, for AMR surveillance, and co-develop solutions and priorities to address the challenges they experience. We identified a complex interplay of systemic/political factors and structural/user-related factors that influence the use of WHONET as a LIMS. Key areas for intervention identified by stakeholders include addressing infrastructural deficits, enhancing stakeholder engagement, and improving the perceived usefulness of the system, as well as the need for management support. Stakeholders also identified 18 potential solutions to tackle key challenges, ten of which require low effort and have a high influence on LIMS use behaviors. Our study highlights the multifaceted challenges affecting the effective utilization of WHONET for AMR surveillance in Nigeria. The co-developed solutions provide a roadmap for targeted interventions to strengthen AMR surveillance capacity and inform evidence-based public health strategies.

Identifiers

PMID40700437
PMCPMC12286375

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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.