ArticlePublic health genomics2026
Views on a Chatbot for Cancer Family History Collection among Leaders of Hispanic and Pacific Islander Communities in Utah.
Article in Public health genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
introductionIndividuals from historically marginalized communities have less access to genetic testing services. Incomplete family history information in electronic health records contributes to under-identification of those eligible for genetic testing of hereditary cancer genes. Digital health tools can aid in collecting family history information, but there is a lack of information about how to integrate these tools in ways that are effective for different communities. This study investigated experiences with family history collection as well as acceptability and approaches for cultural adaptation of a chatbot for family history collection.
methodsSeven community engagement studios were conducted with community leaders (N = 48) representing historically marginalized communities, specifically Hispanic and Pacific Islander. The studios were conducted by trained facilitators in English (n = 4) or Spanish (n = 3) with 5-8 participants per studio. Transcripts of recorded studios were analyzed using inductive thematic analysis.
resultsTwo domains, each with underlying themes, were identified: (1) previous family history collection experience and (2) chatbot impressions and feedback. Community leaders saw value in using a chatbot for family history collection and also expressed the importance of addressing accessibility of the tool. They emphasized interpersonal interactions together with the use of digital health tools and the importance of trusting relationships with healthcare professionals regardless of chatbot integration.
conclusionCommunity leaders highlighted specific strengths and limitations of the chatbot. The importance of human connection with healthcare professionals to build trusting relationships was emphasized. Successful integration of this tool into historically marginalized communities will require ongoing conversations and investment in communities.
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What OpenQuestion holds
Registered trials
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.