Literature DB >> 33688845

Benchmarking Triage Capability of Symptom Checkers Against That of Medical Laypersons: Survey Study.

Markus A Feufel1, Felix Balzer2,3, Malte L Schmieding2,3, Rudolf Mörgeli2, Maike A L Schmieding4.   

Abstract

BACKGROUND: Symptom checkers (SCs) are tools developed to provide clinical decision support to laypersons. Apart from suggesting probable diagnoses, they commonly advise when users should seek care (triage advice). SCs have become increasingly popular despite prior studies rating their performance as mediocre. To date, it is unclear whether SCs can triage better than those who might choose to use them.
OBJECTIVE: This study aims to compare triage accuracy between SCs and their potential users (ie, laypersons).
METHODS: On Amazon Mechanical Turk, we recruited 91 adults from the United States who had no professional medical background. In a web-based survey, the participants evaluated 45 fictitious clinical case vignettes. Data for 15 SCs that had processed the same vignettes were obtained from a previous study. As main outcome measures, we assessed the accuracy of the triage assessments made by participants and SCs for each of the three triage levels (ie, emergency care, nonemergency care, self-care) and overall, the proportion of participants outperforming each SC in terms of accuracy, and the risk aversion of participants and SCs by comparing the proportion of cases that were overtriaged.
RESULTS: The mean overall triage accuracy was similar for participants (60.9%, SD 6.8%; 95% CI 59.5%-62.3%) and SCs (58%, SD 12.8%). Most participants outperformed all but 5 SCs. On average, SCs more reliably detected emergencies (80.6%, SD 17.9%) than laypersons did (67.5%, SD 16.4%; 95% CI 64.1%-70.8%). Although both SCs and participants struggled with cases requiring self-care (the least urgent triage category), SCs more often wrongly classified these cases as emergencies (43/174, 24.7%) compared with laypersons (56/1365, 4.10%).
CONCLUSIONS: Most SCs had no greater triage capability than an average layperson, although the triage accuracy of the five best SCs was superior to the accuracy of most participants. SCs might improve early detection of emergencies but might also needlessly increase resource utilization in health care. Laypersons sometimes require support in deciding when to rely on self-care but it is in that very situation where SCs perform the worst. Further research is needed to determine how to best combine the strengths of humans and SCs. ©Malte L Schmieding, Rudolf Mörgeli, Maike A L Schmieding, Markus A Feufel, Felix Balzer. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.03.2021.

Entities:  

Keywords:  clinical; consumer health information; decision support systems; digital health; eHealth apps; health literacy; mobile phone; patient-centered care; symptom checker; triage

Year:  2021        PMID: 33688845      PMCID: PMC7991983          DOI: 10.2196/24475

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  16 in total

Review 1.  Differential diagnosis generators: an evaluation of currently available computer programs.

Authors:  William F Bond; Linda M Schwartz; Kevin R Weaver; Donald Levick; Michael Giuliano; Mark L Graber
Journal:  J Gen Intern Med       Date:  2012-02       Impact factor: 5.128

2.  The quality of diagnosis and triage advice provided by free online symptom checkers and apps in Australia.

Authors:  Michella G Hill; Moira Sim; Brennen Mills
Journal:  Med J Aust       Date:  2021-01-09       Impact factor: 7.738

3.  Safety of patient-facing digital symptom checkers.

Authors:  Hamish Fraser; Enrico Coiera; David Wong
Journal:  Lancet       Date:  2018-11-06       Impact factor: 79.321

4.  Feasibility of web-based self-triage by parents of children with influenza-like illness: a cautionary tale.

Authors:  Rebecca Anhang Price; Daniel Fagbuyi; Racine Harris; Dan Hanfling; Frederick Place; Todd B Taylor; Arthur L Kellermann
Journal:  JAMA Pediatr       Date:  2013-02       Impact factor: 16.193

5.  Performance of four computer-based diagnostic systems.

Authors:  E S Berner; G D Webster; A A Shugerman; J R Jackson; J Algina; A L Baker; E V Ball; C G Cobbs; V W Dennis; E P Frenkel
Journal:  N Engl J Med       Date:  1994-06-23       Impact factor: 91.245

6.  Evaluation of symptom checkers for self diagnosis and triage: audit study.

Authors:  Hannah L Semigran; Jeffrey A Linder; Courtney Gidengil; Ateev Mehrotra
Journal:  BMJ       Date:  2015-07-08

7.  A randomized controlled trial of online symptom searching to inform patient generated differential diagnoses.

Authors:  Seth S Martin; Emmanuel Quaye; Sarah Schultz; Oluwaseun E Fashanu; Jane Wang; Mustapha O Saheed; Hermes de Freitas; Berthier Ribeiro-Neto; Kapil Parakh
Journal:  NPJ Digit Med       Date:  2019-11-11

8.  Benchmarking Triage Capability of Symptom Checkers Against That of Medical Laypersons: Survey Study.

Authors:  Markus A Feufel; Felix Balzer; Malte L Schmieding; Rudolf Mörgeli; Maike A L Schmieding
Journal:  J Med Internet Res       Date:  2021-03-10       Impact factor: 5.428

9.  Digital and online symptom checkers and health assessment/triage services for urgent health problems: systematic review.

Authors:  Duncan Chambers; Anna J Cantrell; Maxine Johnson; Louise Preston; Susan K Baxter; Andrew Booth; Janette Turner
Journal:  BMJ Open       Date:  2019-08-01       Impact factor: 2.692

10.  Patient Perspectives on the Usefulness of an Artificial Intelligence-Assisted Symptom Checker: Cross-Sectional Survey Study.

Authors:  Ashley N D Meyer; Traber D Giardina; Christiane Spitzmueller; Umber Shahid; Taylor M T Scott; Hardeep Singh
Journal:  J Med Internet Res       Date:  2020-01-30       Impact factor: 5.428

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  11 in total

1.  Ethical, Legal, and Social Implications of Symptom Checker Apps in Primary Health Care (CHECK.APP): Protocol for an Interdisciplinary Mixed Methods Study.

Authors:  Anna-Jasmin Wetzel; Roland Koch; Christine Preiser; Regina Müller; Malte Klemmt; Robert Ranisch; Hans-Jörg Ehni; Urban Wiesing; Monika A Rieger; Tanja Henking; Stefanie Joos
Journal:  JMIR Res Protoc       Date:  2022-05-16

2.  Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation.

Authors:  Felix Balzer; Markus A Feufel; Malte L Schmieding; Marvin Kopka; Konrad Schmidt; Sven Schulz-Niethammer
Journal:  J Med Internet Res       Date:  2022-05-10       Impact factor: 7.076

3.  Determinants of Laypersons' Trust in Medical Decision Aids: Randomized Controlled Trial.

Authors:  Marvin Kopka; Malte L Schmieding; Felix Balzer; Markus A Feufel; Tobias Rieger; Eileen Roesler
Journal:  JMIR Hum Factors       Date:  2022-05-03

4.  Health Care Professionals' Experiences of Web-Based Symptom Checkers for Triage: Cross-sectional Survey Study.

Authors:  Sari Kujala; Iiris Hörhammer
Journal:  J Med Internet Res       Date:  2022-05-05       Impact factor: 7.076

5.  Correction: Benchmarking Triage Capability of Symptom Checkers Against That of Medical Laypersons: Survey Study.

Authors:  Markus A Feufel; Felix Balzer; Malte L Schmieding; Rudolf Mörgeli; Maike A L Schmieding
Journal:  J Med Internet Res       Date:  2021-05-06       Impact factor: 5.428

6.  Benchmarking Triage Capability of Symptom Checkers Against That of Medical Laypersons: Survey Study.

Authors:  Markus A Feufel; Felix Balzer; Malte L Schmieding; Rudolf Mörgeli; Maike A L Schmieding
Journal:  J Med Internet Res       Date:  2021-03-10       Impact factor: 5.428

7.  Safety of Triage Self-assessment Using a Symptom Assessment App for Walk-in Patients in the Emergency Care Setting: Observational Prospective Cross-sectional Study.

Authors:  Fabienne Cotte; Tobias Mueller; Stephen Gilbert; Bibiana Blümke; Jan Multmeier; Martin Christian Hirsch; Paul Wicks; Joseph Wolanski; Darja Tutschkow; Carmen Schade Brittinger; Lars Timmermann; Andreas Jerrentrup
Journal:  JMIR Mhealth Uhealth       Date:  2022-03-28       Impact factor: 4.773

8.  Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial.

Authors:  Alice Röbbelen; Malte L Schmieding; Felix Balzer; Markus A Feufel; Marvin Kopka
Journal:  JMIR Public Health Surveill       Date:  2022-04-15

9.  Effects and utility of an online forward triage tool during the SARS-CoV-2 pandemic: a mixed method study and patient perspectives, Switzerland.

Authors:  Janet Michel; Annette Mettler; Raphael Stuber; Martin Müller; Meret E Ricklin; Philipp Jent; Wolf E Hautz; Thomas C Sauter
Journal:  BMJ Open       Date:  2022-07-12       Impact factor: 3.006

10.  Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study.

Authors:  Johannes Knitza; Felix Muehlensiepen; Yuriy Ignatyev; Franziska Fuchs; Jacob Mohn; David Simon; Arnd Kleyer; Filippo Fagni; Sebastian Boeltz; Harriet Morf; Christina Bergmann; Hannah Labinsky; Wolfgang Vorbrüggen; Andreas Ramming; Jörg H W Distler; Peter Bartz-Bazzanella; Nicolas Vuillerme; Georg Schett; Martin Welcker; Axel J Hueber
Journal:  Front Public Health       Date:  2022-02-22
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