Evidence map›Paper›PMID 33170134›Full record

ArticleJournal of medical Internet research2020

Physicians' Perceptions of the Use of a Chatbot for Information Seeking: Qualitative Study.

Jason Koman, Khristina Fauvelle, Stéphane Schuck, Nathalie Texier, Adel Mebarki

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Jason Koman *Kap Code, Paris, France.ORCID 0000-0002-1057-3481
Khristina FauvelleSanofi Aventis, Gentilly Cedex, France.ORCID 0000-0003-2679-8391
Stéphane Schuck *Kap Code, Paris, France.ORCID 0000-0003-2642-7726
Nathalie TexierKap Code, Paris, France.ORCID 0000-0003-3749-254X
Adel MebarkiKap Code, Paris, France.ORCID 0000-0002-2925-7585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeeking medical information can be an issue for physicians. In the specific context of medical practice, chatbots are hypothesized to present additional value for providing information quickly, particularly as far as drug risk minimization measures are concerned.

objectiveThis qualitative study aimed to elicit physicians' perceptions of a pilot version of a chatbot used in the context of drug information and risk minimization measures.

methodsGeneral practitioners and specialists were recruited across France to participate in individual semistructured interviews. Interviews were recorded, transcribed, and analyzed using a horizontal thematic analysis approach.

resultsEight general practitioners and 2 specialists participated. The tone and ergonomics of the pilot version were appreciated by physicians. However, all participants emphasized the importance of getting exhaustive, trustworthy answers when interacting with a chatbot.

conclusionsThe chatbot was perceived as a useful and innovative tool that could easily be integrated into routine medical practice and could help health professionals when seeking information on drug and risk minimization measures.

Indexed as

FemaleHumansInformation Seeking BehaviorInternet UseMaleMiddle AgedPerceptionPhysiciansQualitative ResearchSurveys and Questionnairesbotchatbotconversational agentdecision support systemdigital healthhealthinnovationmedical drugsprescriptionqualitative researchrisk minimization measures

Identifiers

PMID33170134
PMCPMC7685916

What OpenQuestion holds

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Registered trials

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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.