Evidence map›Paper›PMID 39572102›Full record

ArticleBMJ open2024

Diagnostics for optimised dengue surveillance: a qualitative focus group study to investigate user experience and requirements in Thailand.

Paul Arkell, Sanhapon Ketklao, Adisak Songjaeng, Dumrong Mairiang, Jesus Rodriguez-Manzano, Pantelis Georgiou, Alison Holmes, Raheelah Ahmad, Prida Malasit, Panisadee Avirutnan and 1 more

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In one paragraph

Article in BMJ open, 2024. 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

11 authors.

Paul ArkellCentre for Antimicrobial Optimisation, Imperial College London, London, UK p.arkell@imperial.ac.uk.ORCID http://orcid.org/0000-0003-3702-2716
Sanhapon KetklaoSiriraj Center of Research Excellence in Dengue and Emerging Pathogens (SiCORE-Dengue), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Adisak SongjaengSiriraj Center of Research Excellence in Dengue and Emerging Pathogens (SiCORE-Dengue), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Dumrong MairiangSiriraj Center of Research Excellence in Dengue and Emerging Pathogens (SiCORE-Dengue), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Jesus Rodriguez-ManzanoCentre for Antimicrobial Optimisation, Imperial College London, London, UK.
Pantelis GeorgiouDepartment of Electrical and Electronic Engineering, Imperial College London, London, UK.
Alison HolmesCentre for Antimicrobial Optimisation, Imperial College London, London, UK.
Raheelah AhmadDepartment of Health Services Research & Management, City St George's, University of London, London, UK.
Prida MalasitSiriraj Center of Research Excellence in Dengue and Emerging Pathogens (SiCORE-Dengue), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Panisadee AvirutnanSiriraj Center of Research Excellence in Dengue and Emerging Pathogens (SiCORE-Dengue), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Saranath LawpoolsriDepartment of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesEffective, real-time surveillance of dengue may provide early warning of outbreaks and support targeted disease-control intervention but requires widespread accurate diagnosis and timely case reporting. Research directing innovation in diagnostics for dengue surveillance is lacking. This study aimed to describe experience and requirements of relevant prospective users.

designA qualitative, focus group study was conducted.

participantsData were collected from 19 users of diagnostic technology who work across the Thai dengue surveillance system. DATA COLLECTION AND ANALYSIS: Contextual knowledge, experience and needs were explored in focus groups. Discussions were translated, transcribed, analysed thematically and mapped to Consolidated Framework for Implementation Research domains.

resultsParticipants expressed a need for rapid, accurate, serotype-specific tests which can be operated easily by non-expert users without laboratory equipment. They supported integration of diagnostics with surveillance systems and felt this would increase the quantity and speed of case reporting as well as provide healthcare professionals with up-to-date information about the number of cases locally, thereby aiding interpretation of test results. Concerns included those relating to data security and the cost of tests.

conclusionsEngagement to understand prospective user experience and requirements can improve relevance and uptake of new technology, leading to system efficiencies. The present study highlights specific needs for accurate, serotype-specific, remote-connected diagnostics which are integrated with surveillance systems and support dengue case reporting at the point-of-care.

Indexed as

DengueFocus GroupsQualitative ResearchDisease OutbreaksFemaleHumansMalePopulation SurveillanceProspective StudiesThailandDiagnostic microbiologyEpidemiologyMolecular diagnosticsPublic healthTropical medicine

Identifiers

PMID39572102
PMCPMC11580300

What OpenQuestion holds

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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 OpenQuestion graph.