Evidence map›Paper›PMID 36222804›Full record

ArticleJMIR research protocols2022

Interactive Conversational Agents for Health Promotion, Prevention, and Care: Protocol for a Mixed Methods Systematic Scoping Review.

Maxime Sasseville, Romina H Barony Sanchez, Achille R Yameogo, Laurie-Ann Bergeron-Drolet, Frédéric Bergeron, Marie-Pierre Gagnon

Abstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Maxime SassevilleFaculté des Sciences Infirmières, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0003-1694-1414
Romina H Barony SanchezFaculté des Sciences Infirmières, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0001-9332-4044
Achille R YameogoFaculté des Sciences Infirmières, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0002-8100-9044
Laurie-Ann Bergeron-DroletFaculté de Médecine, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0003-2226-9783
Frédéric BergeronBibliothèque - Direction des Services-Conseils, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0003-0978-7420
Marie-Pierre GagnonFaculté des Sciences Infirmières, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0002-0782-5457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInteractive conversational agents, also known as "chatbots," are computer programs that use natural language processing to engage in conversations with humans to provide or collect information. Although the literature on the development and use of chatbots for health interventions is growing, important knowledge gaps remain, such as identifying design aspects relevant to health care and functions to offer transparency in decision-making automation.

objectiveThis paper presents the protocol for a scoping review that aims to identify and categorize the interactive conversational agents currently used in health care.

methodsA mixed methods systematic scoping review will be conducted according to the Arksey and O'Malley framework and the guidance of Peters et al for systematic scoping reviews. A specific search strategy will be formulated for 5 of the most relevant databases to identify studies published in the last 20 years. Two reviewers will independently apply the inclusion criteria using the full texts and extract data. We will use structured narrative summaries of main themes to present a portrait of the current scope of available interactive conversational agents targeting health promotion, prevention, and care. We will also summarize the differences and similarities between these conversational agents.

resultsThe search strategy and screening steps were completed in March 2022. Data extraction and analysis started in May 2022, and the results are expected to be published in October 2022.

conclusionsThis fundamental knowledge will be useful for the development of interactive conversational agents adapted to specific groups in vulnerable situations in health care and community settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/40265.

Indexed as

carechatbotscommunitycomputerconversational agentshealth carehealthcarehealth promotionliteratureliterature reviewnatural language processingpreventionscoping review

Identifiers

PMID36222804
PMCPMC9597423

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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.