Evidence map›Paper›PMID 37131947›Full record

ArticleBulletin of the World Health Organization2023

Target product profile for readers of rapid diagnostic tests.

Wallace White, Rigveda Kadam, Francis Moussy

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Target product profile for readers of rapid diagnostic tests.Bulletin of the World Health Organization · 2023
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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

3 authors.

Wallace WhiteFIND, Campus Biotech, Chemin des Mines 9, 1202Geneva, Switzerland.
Rigveda KadamFIND, Campus Biotech, Chemin des Mines 9, 1202Geneva, Switzerland.
Francis MoussyHealth Products Policy and Standards Department, World Health Organization, Avenue Appia 20, 1211 Geneva 27, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

While equipment-free visual interpretation is a benefit of lateral-flow assays, automating the reading of rapid diagnostic tests promotes proper test performance, interpretation and reporting of the results. We have created a target product profile that describes the minimal and optimal characteristics of various rapid diagnostic test readers. The product profile is intended to promote the development of effective, useful, sustainable rapid diagnostic test readers in support of health programmes worldwide. These readers may be custom hardware or software-only running on a general-purpose mobile device, for professional or lay use, and for medical or non-medical purposes. During the development of the product profile, the World Health Organization and FIND convened a development group of 40 leading scientists, experts, public health officials and regulators. We held a public consultation to which 27 individuals or organizations responded. The product profile calls for rapid diagnostic test readers that at minimum should: (i) interpret colorimetric tests with at least 95% agreement with expert visual interpretation; and (ii) automatically report results and associated data for the health programme. Optimally, readers should: (i) provide at least 98% agreement; (ii) operate with multiple models of rapid diagnostic tests; (iii) assist the user in performing each rapid diagnostic test according to the test instructions; and (iv) offer multiple configurations, operating modes and languages to suit the needs of diverse users, settings and health programmes.

Indexed as

Rapid Diagnostic TestsHumans

Identifiers

PMID37131947
PMCPMC10140691

What OpenQuestion 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 OpenQuestion graph.