Evidence map›Paper›PMID 41128404›Full record

ArticleJournal of genetic counseling2025

Patients' and healthcare professionals' experiences with implementing the Rosa chatbot in mainstream genetic testing for hereditary breast and ovarian cancer.

Elen Siglen, Hildegunn Høberg Vetti, Anita Lyssand, Tone Dahl-Michelsen, Cathrine Bjorvatn

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Elen SiglenFaculty of Health Studies, VID Specialized University, Bergen, Norway.ORCID 0000-0003-3486-1071
Hildegunn Høberg VettiFaculty of Health Studies, VID Specialized University, Bergen, Norway.ORCID 0000-0002-9876-576X
Anita LyssandFaculty of Health Studies, VID Specialized University, Bergen, Norway.ORCID 0009-0001-4070-987X
Tone Dahl-MichelsenFaculty of Health Studies, VID Specialized University, Bergen, Norway.ORCID 0000-0002-2923-5036
Cathrine BjorvatnFaculty of Health Studies, VID Specialized University, Bergen, Norway.ORCID 0000-0003-1454-4925

Funding

Kreftforeningen 194750
6 · The paper itself

Abstract

Mainstream genetic testing (MGT) refers to genetic testing conducted at the time of a cancer diagnosis without undergoing comprehensive genetic counseling. MGT has been the standard of care for patients with breast or ovarian cancer in Norway for several years. The aim of this study is to explore how newly diagnosed patients with breast or ovarian cancer and healthcare professionals' (HCPs), experience the use of the Rosa chatbot in mainstream genetic testing (MGT) and explore potential barriers to the implementation of chatbots in MGT. We conducted a qualitative study using semi-structured interview guides with selected patients and HCPs. The interviews were done either: in-person, over the digital platform Teams, or over the telephone, depending on the participants' wishes. We chose the Stepwise-Deductive Inductive approach for analyzing the transcripts. Both patients and HCPs viewed the Rosa chatbot positively, describing it as user-friendly, useful, accessible, safe, professional, and trustworthy. They reported that the volume and complexity of information during MGT could be overwhelming and viewed the chatbot as a trustworthy resource for patients to revisit at their own pace, supporting informed decision-making after a positive genetic test result. However, concerns were raised about potential misunderstandings, the impersonal nature of digital communication, and the risk of reduced patient-provider interaction, which together were perceived as an emotional barrier to integrating chatbots into genetic counseling practice.

Indexed as

Breast NeoplasmsGenetic TestingHealth PersonnelOvarian NeoplasmsAdultFemaleGenerative Artificial IntelligenceGenetic CounselingHumansMiddle AgedNorwayBRCA1BRCA2breast cancerchatbotdigital tooldigitizing healthcaregenetic counselingHBOCimplementation barriermainstream genetic testingovarian cancerpatient‐centered care

Identifiers

PMID41128404
PMCPMC12548301

What OpenQuestion holds

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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.