Evidence map›Paper›PMID 34663637›Full record

ArticleBMJ health & care informatics2021

Reliability of COVID-19 symptom checkers as national triage tools: an international case comparison study.

Fatma Mansab, Sohail Bhatti, Daniel Goyal

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Fatma MansabSchool of Postgraduate Medicine, University of Gibraltar, Gibraltar, Gibraltar.
Sohail BhattiSchool of Postgraduate Medicine, University of Gibraltar, Gibraltar, Gibraltar.
Daniel GoyalSchool of Postgraduate Medicine, University of Gibraltar, Gibraltar, Gibraltar daniel.goyal@gha.gi.ORCID http://orcid.org/0000-0003-0418-8859

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTriage is a critical component of the pandemic response. It affects morbidity, mortality and how effectively the available healthcare resources are used. In a number of nations the pandemic has sponsored the adoption of novel, online, patient-led triage systems-often referred to as COVID-19 symptom checkers. The current safety and reliability of these new automated triage systems remain unknown.

methodsWe tested six symptom checkers currently in use as triage tools at a national level against 52 cases simulating COVID-19 of various severities to determine if the symptom checkers appropriately triage time-critical cases onward to healthcare contact. We further analysed and compared each symptom checker to determine the discretionary aspects of triage decision-making that govern the automated advice generated.

resultsOf the 52 clinical presentations, the absolute rate of onward referral to any form of healthcare contact was: Singapore 100%, the USA 67%, Wales 65%, England 62%, Scotland 54% and Northern Ireland 46%. Triage decisions were broadly based on either estimates of 'risk' or 'disease severity'. Risk-based symptom checkers were more reliable, with severity-based symptom checkers often triaging time-critical cases to stay home without clinical contact or follow-up.

conclusionThe COVID-19 symptom checkers analysed here were unable to reliably discriminate between mild and severe COVID-19. Risk-based symptom checkers may hold some promise of contributing to pandemic case management, while severity-based symptom checkers-the CDC and NHS 111 versions-confer too much risk to both public and healthcare services to be deemed a viable option for COVID-19 triage.

Indexed as

COVID-19TriageCase-Control StudiesHumansReproducibility of ResultsSARS-CoV-2clinical governancecomputer-assistedCOVID-19decision makingdelivery of health care

Identifiers

PMID34663637
PMCPMC8523957

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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.