ArticleJournal of community genetics2024
Retrospective chart analysis to determine the impact of a patient-facing digital risk stratification tool combined with a clinical screener for hereditary cancer genetic risk assessment triage in a community oncology clinic.
Article in Journal of community genetics, 2024. 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
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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, 2 citations in OpenAlex.
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to evaluate the utility of adding a clinical screener to the patient-facing digital risk stratification tool triage process for the identification of patients eligible for a genetic risk assessment for hereditary cancer. Digital risk stratification entries were retrospectively reviewed to determine the overall number of patients eligible for genetic risk assessment. These were also analyzed to determine how many patients were re-contacted by the clinical screener, and how many of those recontacted patients met criteria after their personal and family history was revised by the clinical screener. There was an 89.9% digital risk stratification triage tool completion rate, with 22.6% requiring contact from the clinical screener. Of the 640 patients who completed the digital tool, 5.9% met criteria for testing after their personal and/or family history was revised by the clinical screener. Overall, 51.1% of patients met criteria for a genetic risk assessment. The addition of a clinical screener further increased identification of patients eligible for genetic risk assessment. About half of patients who met criteria after being contacted by the clinical screener met criteria based on their personal diagnosis of cancer alone. Incorporation of a clinical screener to the digital screening process may serve to reduce barriers to patient completion of the tool and increase rates of patient identification for cancer genetic services.
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Registered trials
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