An Electronic Health Record Tool Increases Genetic Counseling Referral of Individuals at Hereditary Cancer Risk: An Intervention Study.

Family history Genetic counseling Primary care providers Screening

Journal

Public health genomics
ISSN: 1662-8063
Titre abrégé: Public Health Genomics
Pays: Switzerland
ID NLM: 101474167

Informations de publication

Date de publication:
27 Jul 2022
Historique:
received: 13 05 2021
accepted: 30 05 2022
entrez: 27 7 2022
pubmed: 28 7 2022
medline: 28 7 2022
Statut: aheadofprint

Résumé

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. 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. 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). 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.

Identifiants

pubmed: 35896061
pii: 000525447
doi: 10.1159/000525447
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-7

Informations de copyright

© 2022 The Author(s). Published by S. Karger AG, Basel.

Auteurs

Elisabeth J Wurtmann (EJ)

Allina Health, Minneapolis, Minnesota, USA.

Shari Baldinger (S)

Allina Health, Minneapolis, Minnesota, USA.

Susan Olet (S)

Allina Health, Minneapolis, Minnesota, USA.

Ashley Daley (A)

Allina Health, Minneapolis, Minnesota, USA.

Karen K Swenson (KK)

Allina Health, Minneapolis, Minnesota, USA.

Classifications MeSH