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An Electronic Health Record Tool Increases Genetic Counseling Referral of Individuals at Hereditary Cancer Risk: An Intervention Study
Author(s) -
Wurtmann Elisabeth J.,
Baldinger Shari,
Olet Susan,
Daley Ashley,
Swenson Karen K.
Publication year - 2022
Publication title -
public health genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.701
H-Index - 51
eISSN - 1662-8063
pISSN - 1662-4246
DOI - 10.1159/000525447
Subject(s) - research article
Introduction: There is widespread under-identification of individuals at hereditary cancer risk despite national guidelines calling for screening. We evaluated the utilization of a tool embedded in the electronic health record (EHR) to assist primary care providers in screening patients for cancer genetic counseling referral. Methods: We designed BestPractice Advisories linked to a Genetic Cancer Screening Tool (GCST) in EpicCare Ambulatory. The GCST identifies individuals for evaluation for BRCA1/2, Lynch syndrome, and other risk mutations due to personal and family history. We tested the tool in a 7-week intervention in adult wellness visits at two clinics, one urban and one rural. Results: Out of 687 eligible patients, the screening survey was completed for 469 (67%), and of these, 150 (32%) screened positive for a personal and/or family history meeting genetic counseling referral criteria. Of individuals screening positive, a referral order was placed for 20 (13%). GCST screen-positive rate varied by patient gender but not race or age. Referral rate varied by provider and clinic but was not significantly affected by patient demographics. In the previous year over an equivalent date range, 0.1% of wellness visits (1 of 1,086) led to a referral, and this rate increased to 2.1% (22 of 1,062) during the intervention. The proportion of providers referring patients also increased, from 3.8% (1 of 26) to 42.3% (11 of 26). Discussion/Conclusion: Genetic counseling referral of individuals at hereditary cancer risk was increased by use of an EHR-integrated tool. These findings add evidence for the benefit of clinical decision support for cancer genetic risk screening in primary care.

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