Evidence map›Paper›PMID 37656502›Full record

ArticleJournal of medical Internet research2023

Evaluation of the Rosa Chatbot Providing Genetic Information to Patients at Risk of Hereditary Breast and Ovarian Cancer: Qualitative Interview Study.

Elen Siglen, Hildegunn Høberg Vetti, Mirjam Augestad, Vidar M Steen, Åshild Lunde, Cathrine Bjorvatn

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 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
11.4field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Chatbots for breast cancer education: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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  13. Allies not enemies-creating a more empathetic and uplifting patient experience through technology and art.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
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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

6 authors at 3 institutions in 1 country.

Elen SiglenWestern Norway Familial Cancer Center, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0003-3486-1071
Hildegunn Høberg VettiWestern Norway Familial Cancer Center, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0002-9876-576X
Mirjam AugestadFaculty of Health Studies, VID Specialized University, Bergen, Norway.ORCID 0009-0001-5512-3185
Vidar M SteenWestern Norway Familial Cancer Center, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0001-6440-3966
Åshild LundeDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.ORCID 0009-0000-2784-3700
Cathrine BjorvatnWestern Norway Familial Cancer Center, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0003-1454-4925
Haukeland University Hospital · NOUniversity of Bergen · NOVID Specialized University · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic testing has become an integrated part of health care for patients with breast or ovarian cancer, and the increasing demand for genetic testing is accompanied by an increasing need for easy access to reliable genetic information for patients. Therefore, we developed a chatbot app (Rosa) that is able to perform humanlike digital conversations about genetic BRCA testing.

objectiveBefore implementing this new information service in daily clinical practice, we wanted to explore 2 aspects of chatbot use: the perceived utility and trust in chatbot technology among healthy patients at risk of hereditary cancer and how interaction with a chatbot regarding sensitive information about hereditary cancer influences patients.

methodsOverall, 175 healthy individuals at risk of hereditary breast and ovarian cancer were invited to test the chatbot, Rosa, before and after genetic counseling. To secure a varied sample, participants were recruited from all cancer genetic clinics in Norway, and the selection was based on age, gender, and risk of having a BRCA pathogenic variant. Among the 34.9% (61/175) of participants who consented for individual interview, a selected subgroup (16/61, 26%) shared their experience through in-depth interviews via video. The semistructured interviews covered the following topics: usability, perceived usefulness, trust in the information received via the chatbot, how Rosa influenced the user, and thoughts about future use of digital tools in health care. The transcripts were analyzed using the stepwise-deductive inductive approach.

resultsThe overall finding was that the chatbot was very welcomed by the participants. They appreciated the 24/7 availability wherever they were and the possibility to use it to prepare for genetic counseling and to repeat and ask questions about what had been said afterward. As Rosa was created by health care professionals, they also valued the information they received as being medically correct. Rosa was referred to as being better than Google because it provided specific and reliable answers to their questions. The findings were summed up in 3 concepts: "Anytime, anywhere"; "In addition, not instead"; and "Trustworthy and true." All participants (16/16) denied increased worry after reading about genetic testing and hereditary breast and ovarian cancer in Rosa.

conclusionsOur results indicate that a genetic information chatbot has the potential to contribute to easy access to uniform information for patients at risk of hereditary breast and ovarian cancer, regardless of geographical location. The 24/7 availability of quality-assured information, tailored to the specific situation, had a reassuring effect on our participants. It was consistent across concepts that Rosa was a tool for preparation and repetition; however, none of the participants (0/16) supported that Rosa could replace genetic counseling if hereditary cancer was confirmed. This indicates that a chatbot can be a well-suited digital companion to genetic counseling.

Indexed as

Ovarian NeoplasmsFemaleGenetic Predisposition to DiseaseGenetic TestingHumansQualitative Researchacceptabilitybreastbreast cancercancerchatbotchatbotsdigital health technologydigital health tooldigital information tooldigital toolgeneticgenetic clinicgenetic counselinggenetic testinghereditaryhereditary breast and ovarian cancerhybrid health careinformation retrievalmobile phoneoncologyovarianovarian cancerperceivedperceptiontechnologytrustvirtual assistantwomen’s health

Identifiers

PMID37656502
PMCPMC10504626
OpenAlexW4385059386

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.