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Dr. Google’s Advice on First Aid: Evaluation of the Search Engine’s Question-Answering System Responses to Queries Seeking Help in Health Emergencies

Published online by Cambridge University Press:  11 May 2023

Alexei A. Birkun Open the ORCID record for Alexei A. Birkun [Opens in a new window]  and
Adhish Gautam
Alexei A. Birkun*
Affiliation:
Department of General Surgery, Anesthesiology, Resuscitation and Emergency Medicine, Medical Academy named after S.I. Georgievsky of V.I. Vernadsky Crimean Federal University, Simferopol, 295051, Russian Federation
Adhish Gautam
Affiliation:
Regional Government Hospital, Una (H.P.), 174303, India
*
Correspondence: Alexei A. Birkun, MD, DMedSc Lenin Blvd, 5/7, Simferopol 295051, Russian Federation E-mail: birkunalexei@gmail.com
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Abstract

Introduction:

The ever-growing penetration of internet and mobile technologies into society suggests that people will increasingly use web searches to seek health-related information, including advice on first aid in medical emergencies. When a bystander is incompetent in first aid and has no immediate support from Emergency Medical Services (EMS), as it happens in low-resource settings or in disasters, instructions found online could be the sole driver for administering first aid before arrival of professional help.

Study Objective:

The aim of this study was to evaluate quality of advice on first aid generated by a web search engine’s question-answering system (QAS) in response to search queries concerning provision of help in common health emergencies.

Methods:

In December 2022-January 2023, an English-language search was carried out in Google with ten queries based on the keyword combinations (what to do OR how to help) AND (bleeding OR chest pain OR choking OR not breathing OR seizure). The search engine’s QAS responses (up to 11 per search query) were evaluated for compliance with the International Federation of Red Cross First Aid Guidelines 2020 using the pre-developed checklists.

Results:

Out of 98 QAS items generated by Google, 67.3% (n = 66) were excluded, mainly because the QAS answers did not address original queries. Eligible unique QAS responses (n = 27) showed poor coverage of the guideline-compliant instructions on first aid. Mean percentage of QAS responses providing a first aid instruction with complete adherence to the guidelines varied from 0.0 for choking to 19.5 for seizure. Only three (11.1%) QAS responses contained an explicit instruction to access EMS, while 66.7% (n = 18) included directions either contradictory to the guidelines and potentially harmful (eg, use of home remedies in chest pain) or inapplicable for an untrained person (eg, use of tourniquet in bleeding).

Conclusion:

Although the search engine’s QAS responds to user’s inquiries concerning assistance in health emergencies, the QAS-generated answers, as a rule, omit potentially life-saving evidence-based instructions on first aid and oftentimes give advices noncompliant with current guidelines or inadequate for untrained people, and thus create risks for causing harm to a victim.

Keywords

bystanderdigital technologyemergenciesfirst aidinternetlaypeopleonlinepublicsearch enginetelemedicine
Type
Original Research
Information
Prehospital and Disaster Medicine , Volume 38 , Issue 3 , June 2023 , pp. 345 - 351
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Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the World Association for Disaster and Emergency Medicine

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