Evidence map›Paper›PMID 37351920›Full record

ArticleJournal of medical Internet research2023

A Transgender Chatbot (Amanda Selfie) to Create Pre-exposure Prophylaxis Demand Among Adolescents in Brazil: Assessment of Acceptability, Functionality, Usability, and Results.

Paula Massa, Dulce Aurélia de Souza Ferraz, Laio Magno, Ana Paula Silva, Marília Greco, Inês Dourado, Alexandre Grangeiro

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% of its field
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Paula Massa *Faculdade de Medicina Preventiva, Universidade de São Paulo, São Paulo, Brazil.ORCID 0000-0002-8807-421X
Dulce Aurélia de Souza FerrazUnité Mixte de Recherche 1296 Radiations: défense, santé et environnements, Lyon 2 University, Lyon, France.ORCID 0000-0002-0443-3183
Laio MagnoInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil.ORCID 0000-0003-3752-0782
Ana Paula SilvaFaculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0003-1839-272X
Marília GrecoFaculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0003-3872-8155
Inês DouradoInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil.ORCID 0000-0003-1675-2146
Alexandre GrangeiroFaculdade de Medicina Preventiva, Universidade de São Paulo, São Paulo, Brazil.ORCID 0000-0001-5157-0597
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade Federal da Bahia · BRUniversidade Federal de Minas Gerais · BRUniversité de Lyon · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHIV incidence rates have increased in adolescent men who have sex with men (AMSM) and adolescent transgender women (ATGW). Thus, it is essential to promote access to HIV prevention, including pre-exposure prophylaxis (PrEP), among these groups. Moreover, using artificial intelligence and online social platforms to create demand and access to health care services are essential tools for adolescents and youth.

objectiveThis study aims to describe the participative process of developing a chatbot using artificial intelligence to create demand for PrEP use among AMSM and ATGW in Brazil. Furthermore, it analyzes the chatbot's acceptability, functionality, and usability and its results on the demand creation for PrEP.

methodsThe chatbot Amanda Selfie integrates the demand creation strategies based on social networks (DCSSNs) of the PrEP1519 study. She was conceived as a Black transgender woman and to function as a virtual peer educator. The development process occurred in 3 phases (conception, trial, and final version) and lasted 21 months. A mixed methodology was used for the evaluations. Qualitative approaches, such as in-depth adolescent interviews, were used to analyze acceptability and usability, while quantitative methods were used to analyze the functionality and result of the demand creation for PrEP based on interactions with Amanda and information from health care services about using PrEP. To evaluate Amanda's result on the demand creation for PrEP, we analyzed sociodemographic profiles of adolescents who interacted at least once with her and developed a cascade model containing the number of people at various stages between the first interaction and initiation of PrEP (PrEP uptake). These indicators were compared with other DCSs developed in the PrEP1519 study using chi-square tests and residual analysis (P=.05).

resultsAmanda Selfie was well accepted as a peer educator, clearly and objectively communicating on topics such as gender identity, sexual experiences, HIV, and PrEP. The chatbot proved appropriate for answering questions in an agile and confidential manner, using the language used by AMSM and ATGW and with a greater sense of security and less judgment. The interactions with Amanda Selfie combined with a health professional were well evaluated and improved the appointment scheduling. The chatbot interacted with most people (757/1239, 61.1%) reached by the DCSSNs. However, when compared with the other DCSSNs, Amanda was not efficient in identifying AMSM/ATGW (359/482, 74.5% vs 130/757, 17.2% of total interactions, respectively) and in PrEP uptake (90/359, 25.1% vs 19/130, 14.6%). The following profiles were associated (P<.001) with Amanda Selfie's demand creation, when compared with other DCS: ATGW and adolescents with higher levels of schooling and White skin color.

conclusionsUsing a chatbot to create PrEP demand among AMSM and ATGW was well accepted, especially for ATGW with higher levels of schooling. A complimentary dialog with a health professional increased PrEP uptake, although it remained lower than the results of the other DCSSNs.

Indexed as

HIV InfectionsPre-Exposure ProphylaxisSexual and Gender MinoritiesTransgender PersonsAdolescentArtificial IntelligenceBrazilFemaleGender IdentityHomosexuality, MaleHumansMaleacceptabilityadolescentartificial intelligencechatbotHIVHIV pre-exposure prophylaxismen who have sex with menPrEPpreventionprophylaxistransgendertransgender women

Identifiers

PMID37351920
PMCPMC10337301
OpenAlexW4366323398

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.