Evidence map›Paper›PMID 35749166›Full record

ArticleJournal of medical Internet research2022

Triage Errors in Primary and Pre-Primary Care.

Hai Nguyen, Andras Meczner, Krista Burslam-Dawe, Benedict Hayhoe

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Hai Nguyen *Your.MD Ltd, London, United Kingdom.ORCID 0000-0003-2171-1955
Andras MecznerYour.MD Ltd, London, United Kingdom.ORCID 0000-0001-8136-7768
Krista Burslam-DaweeConsult Ltd, London, United Kingdom.ORCID 0000-0003-1650-3668
Benedict HayhoeeConsult Ltd, London, United Kingdom.ORCID 0000-0002-2645-6191
Imperial College London · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triage errors are a major concern in health care due to resulting harmful delays in treatments or inappropriate allocation of resources. With the increasing popularity of digital symptom checkers in pre-primary care settings, and amid claims that artificial intelligence outperforms doctors, the accuracy of triage by digital symptom checkers is ever more scrutinized. This paper examines the context and challenges of triage in primary care, pre-primary care, and emergency care, as well as reviews existing evidence on the prevalence of triage errors in all three settings. Implications for development, research, and practice are highlighted, and recommendations are made on how digital symptom checkers should be best positioned.

Indexed as

Emergency Medical ServicesTriageArtificial IntelligenceData CollectionHumansPrimary Health Caredigital symptom checkeremergency carepre-primary careprimary caresymptom checkertriagetriage errorsviewpoint

Identifiers

PMID35749166
PMCPMC9270711
OpenAlexW4226212843

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.