Racial Disparities in Accessing Care along the Continuum of Cancer Genetic Service Delivery.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
11 Oct 2023
Historique:
accepted: 09 10 2023
received: 26 05 2023
revised: 01 08 2023
medline: 11 10 2023
pubmed: 11 10 2023
entrez: 11 10 2023
Statut: aheadofprint

Résumé

Public health calls to ensure equity in genomics and precision medicine necessitate a closer examination of how these efforts might differentially affect access to genetic services across demographic subgroups. This study set out to examine racial/ethnic disparities along the cancer genetic service delivery continuum. Retrospective data are drawn from 15 clinical sites across 6 US States. Individuals who screened at-risk for hereditary cancer were 1) referred/scheduled to see a genetic counselor (referral workflow), or 2) offered genetic testing at the point-of-care (POC workflow). Logistic regression analyses evaluated the associations between race/ethnicity and several outcomes including appointment scheduling, genetic counseling, and genetic testing, controlling for demographics, clinical factors, and county-level covariates. A total of 14,527 patients were identified at-risk. Genetic testing uptake was significantly higher at POC sites than referral sites (34% POC vs. 11% referral, p < 0.001). Race/ethnicity was significantly associated with testing uptake among all sites, with non- Hispanic Blacks having lower odds of testing compared to non-Hispanic Whites (aOR = 0.84, 95% CI 0.71, 1.00, p = 0.049). Moreover, this disparity was observed at referral sites, but not POC sites. Among patients scheduled, non-Hispanic Blacks had lower odds of counseling (aOR=0.28, 95% CI 0.17, 0.47, p < 0.001). Findings suggest that factors influencing genetic counseling show rates may be driving disparities in genetic testing. Strategies to reduce barriers to seeing a genetic counselor, including modifications to clinical workflow, may help mitigate racial/ethnic disparities in genetic testing.

Sections du résumé

BACKGROUND BACKGROUND
Public health calls to ensure equity in genomics and precision medicine necessitate a closer examination of how these efforts might differentially affect access to genetic services across demographic subgroups. This study set out to examine racial/ethnic disparities along the cancer genetic service delivery continuum.
METHODS METHODS
Retrospective data are drawn from 15 clinical sites across 6 US States. Individuals who screened at-risk for hereditary cancer were 1) referred/scheduled to see a genetic counselor (referral workflow), or 2) offered genetic testing at the point-of-care (POC workflow). Logistic regression analyses evaluated the associations between race/ethnicity and several outcomes including appointment scheduling, genetic counseling, and genetic testing, controlling for demographics, clinical factors, and county-level covariates.
RESULTS RESULTS
A total of 14,527 patients were identified at-risk. Genetic testing uptake was significantly higher at POC sites than referral sites (34% POC vs. 11% referral, p < 0.001). Race/ethnicity was significantly associated with testing uptake among all sites, with non- Hispanic Blacks having lower odds of testing compared to non-Hispanic Whites (aOR = 0.84, 95% CI 0.71, 1.00, p = 0.049). Moreover, this disparity was observed at referral sites, but not POC sites. Among patients scheduled, non-Hispanic Blacks had lower odds of counseling (aOR=0.28, 95% CI 0.17, 0.47, p < 0.001).
CONCLUSIONS CONCLUSIONS
Findings suggest that factors influencing genetic counseling show rates may be driving disparities in genetic testing.
IMPACT CONCLUSIONS
Strategies to reduce barriers to seeing a genetic counselor, including modifications to clinical workflow, may help mitigate racial/ethnic disparities in genetic testing.

Identifiants

pubmed: 37819271
pii: 729550
doi: 10.1158/1055-9965.EPI-23-0596
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Ingrid M Wagner (IM)

Boston University, Boston, MA, United States.

Ziming Xuan (Z)

Boston University, Boston, MA, United States.

Haibo Lu (H)

Cancer IQ, Chicago, IL, United States.

Catharine Wang (C)

Boston University, Boston, MA, United States.

Classifications MeSH