Literature DB >> 29338090

Influence of provider factors and race on uptake of breast cancer gene expression profiling.

Katherine E Reeder-Hayes1,2, Stephanie B Wheeler1,3, Christopher D Baggett1,4, Xi Zhou1, Ke Meng1, Megan C Roberts5, Lisa A Carey1,2, Anne-Marie Meyer1,4.   

Abstract

BACKGROUND: Gene expression profiling (GEP) has been rapidly adopted for early breast cancer and can aid in chemotherapy decision making. Study results regarding racial disparities in testing are conflicting, and may reflect different care settings. To the authors' knowledge, data regarding the influence of provider factors on testing are scarce.
METHODS: The authors used a statewide, multipayer, insurance claims database linked to cancer registry records to examine the impact of race and provider characteristics on GEP uptake in a cohort of patients newly diagnosed with breast cancer between 2005 and 2012. Incidence proportion models were used to examine the adjusted likelihood of testing. Models were stratified by lymph node status (N0 vs N1).
RESULTS: Among 11,958 eligible patients, 23% of black and 26% of non-Hispanic white patients received GEP. Among patients with N0 disease, black individuals were 16% less likely to receive testing after adjustment for clinical factors and the provider's specialty and volume of patients with breast cancer (95% confidence interval, 0.77-0.93). Adjustment for provider characteristics did not attenuate the effect of race on testing. Patients of middle-volume providers were more likely to be tested compared with those with either high-volume or low-volume providers, whereas patients seeing a medical oncologist were more likely to be tested compared with those whose only providers were from surgical specialties.
CONCLUSIONS: Provider volume and specialty were found to be significant predictors of GEP use, but did not explain racial disparities in testing. Further research concerning the key contributors to lagging test use among black women is needed to optimize the equitable use of GEPs and support personalized treatment decision making for all patients. Cancer 2018;124:1743-51.
© 2018 American Cancer Society. © 2018 American Cancer Society.

Entities:  

Keywords:  breast cancer; gene profiling; health care disparities; minority health; provider factors

Mesh:

Substances:

Year:  2018        PMID: 29338090     DOI: 10.1002/cncr.31222

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  3 in total

1.  Race and delays in breast cancer treatment across the care continuum in the Carolina Breast Cancer Study.

Authors:  Katherine E Reeder-Hayes; Sophie E Mayer; Andrew F Olshan; Stephanie B Wheeler; Lisa A Carey; Chiu-Kit Tse; Mary Elizabeth Bell; Melissa A Troester
Journal:  Cancer       Date:  2019-08-09       Impact factor: 6.860

Review 2.  Adherence to Endocrine Therapy and Racial Outcome Disparities in Breast Cancer.

Authors:  Katherine E Reeder-Hayes; Melissa A Troester; Stephanie B Wheeler
Journal:  Oncologist       Date:  2021-09-28

3.  Oncotype DX Risk Recurrence Score and Total Mortality for Early-Stage Breast Cancer by Race/Ethnicity.

Authors:  Jaleesa Moore; Fei Wang; Tuya Pal; Sonya Reid; Hui Cai; Christina E Bailey; Wei Zheng; Loren Lipworth; Xiao-Ou Shu
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2022-04-01       Impact factor: 4.090

  3 in total

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