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Exploring Factors That Impact Genetic Counseling Referral and Uptake Using Learning Health Approaches.

Journal articles  - Journal Article
Greenberg, S; Wong, B; Sward, KA; Cooney, KA; Tward, J; Post, A; Cummins, MR
Published in: Learn Health Syst
January 2026

INTRODUCTION: Germline testing and pretest genetic counseling are advised for many cancer patients, yet not all receive these services. Electronic Health Records (EHRs) offer a valuable resource to measure referral to genetic counseling (referral receipt) and uptake (completion of counseling). This study uses EHR data to assess demographic factors influencing genetic counseling referral and uptake among prostate cancer patients, serving as a learning health system model. METHODS: We included prostate cancer patients who met germline testing and counseling criteria at an NCI-designated cancer center from January 1, 2018, to June 30, 2022. Demographic factors-age at diagnosis, race, employment, insurance, and geographic region-were assessed for associations with genetic counseling referral and uptake. Analyses involved descriptive statistics, two-group comparisons, and regression models. RESULTS: Among 356 prostate cancer patients, only 34.2% received genetic counseling referrals, and of these, 73% completed a counseling visit. Older patients were less likely to receive referrals (OR = 0.93, 95% CI [0.89-0.97]) and complete visits (OR = 0.92, 95% CI [0.87-0.96]). Patients employed full-time were more likely to receive referrals (39.2% vs. 23.1%; p = 0.01), while White (93% vs. 81%; p = 0.047) and rural patients (42.7% vs. 6.1%; p = 0.02) had higher uptake. Insurance status did not significantly affect referral or uptake. CONCLUSION: This study demonstrates the potential of EHRs to identify demographic disparities in genetic counseling services. Using a learning health system approach, healthcare institutions can leverage EHR data to design targeted interventions aimed at improving access and reducing disparities in genetic services, ultimately enhancing patient outcomes.

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Published In

Learn Health Syst

DOI

EISSN

2379-6146

Publication Date

January 2026

Volume

10

Issue

1

Start / End Page

e70049

Location

United States
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Greenberg, S., Wong, B., Sward, K. A., Cooney, K. A., Tward, J., Post, A., & Cummins, M. R. (2026). Exploring Factors That Impact Genetic Counseling Referral and Uptake Using Learning Health Approaches. Learn Health Syst, 10(1), e70049. https://doi.org/10.1002/lrh2.70049
Greenberg, Samantha, Bob Wong, Katherine A. Sward, Kathleen A. Cooney, Jonathan Tward, Andrew Post, and Mollie R. Cummins. “Exploring Factors That Impact Genetic Counseling Referral and Uptake Using Learning Health Approaches.Learn Health Syst 10, no. 1 (January 2026): e70049. https://doi.org/10.1002/lrh2.70049.
Greenberg S, Wong B, Sward KA, Cooney KA, Tward J, Post A, et al. Exploring Factors That Impact Genetic Counseling Referral and Uptake Using Learning Health Approaches. Learn Health Syst. 2026 Jan;10(1):e70049.
Greenberg, Samantha, et al. “Exploring Factors That Impact Genetic Counseling Referral and Uptake Using Learning Health Approaches.Learn Health Syst, vol. 10, no. 1, Jan. 2026, p. e70049. Pubmed, doi:10.1002/lrh2.70049.
Greenberg S, Wong B, Sward KA, Cooney KA, Tward J, Post A, Cummins MR. Exploring Factors That Impact Genetic Counseling Referral and Uptake Using Learning Health Approaches. Learn Health Syst. 2026 Jan;10(1):e70049.
Journal cover image

Published In

Learn Health Syst

DOI

EISSN

2379-6146

Publication Date

January 2026

Volume

10

Issue

1

Start / End Page

e70049

Location

United States