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1.
J Manag Care Spec Pharm ; 25(5): 578-586, 2019 May.
Article in English | MEDLINE | ID: mdl-31039059

ABSTRACT

BACKGROUND: Adjuvant endocrine therapy (AET) is a critical therapy in that it improves survival in women with hormone receptor-positive (HR+) breast cancer (BC), but adherence to AET is suboptimal. The purpose of this study was to fill scientific gaps about predictors of adherence to AET among black and white women diagnosed with BC. OBJECTIVE: To assess AET adherence in black and white insured women using multiple measures, including one that uses an innovative statistical approach. METHODS: Black and white women newly diagnosed with HR+ BC were identified from 2 health maintenance organizations. Pharmacy records captured the type of oral AET prescriptions and all fill dates. Multivariable logistic regression was used to identify predictors of adherence defined in terms of proportion of days covered (PDC; ≥ 80%) and medication gap of ≤ 10 days. A zero-inflated negative binomial (ZINB) regression model was used to identify variables associated with the total number of days of medication gaps. RESULTS: 1,925 women met inclusion criteria. 80% were PDC adherent (> 80%); 44% had a medication gap of ≤ 10 days; and 24% had no medication gap days. Race and age were significant in all multivariable models. Black women were less likely to be adherent based on PDC than white women (OR = 0.72, 95% CI = 0.57-0.90, P < 0.01), and they were less likely to have a medication gap of ≤ 10 days (OR = 0.65, 95% CI = 0.54-0.79, P < 0.001). Women aged 25-49 years were less likely to be PDC adherent than women aged 65-93 years (OR = 0.65, 95% CI = 0.48-0.87, P < 0.001). In the ZINB model, women were without their medication for an average of 37 days (SD = 50.5). CONCLUSIONS: Racial disparities in adherence to AET in the study highlight a need for interventions among insured women. Using various measures of adherence may help better understand this multidimensional concept. There might be benefits from using both more common dichotomous measures (e.g., PDC) and integrating novel statistical approaches to allow tailoring adherence to patterns within a specific sample. DISCLOSURES: This research was funded by the National Institutes of Health (R01CA154848). It was also supported in part by the NIH-NCI Cancer Center Support Grant P30 CA016059, the Laboratory of Telomere Health P30 CA51008, and the TSA Award No. UL1TR002649 from the National Center for Advancing Translational Sciences. The contents of this study are solely the responsibility of the authors and do not necessarily represent official views of the National Center for Advancing Translational Sciences or the National Institutes of Health. Bosworth reports grants from Sanofi, Otsuka, Johnson & Johnson, and Blue Cross/Blue Shield of NC and consulting fees from Sanofi and Otsuka. The other authors have nothing to disclose. The datasets generated during and/or analyzed during the current study are not publicly available due to privacy reasons but are available from the corresponding author on reasonable request. The author does not own these data. Data use was granted to the author as part of a data use agreement between specific agencies and organizations.


Subject(s)
Antineoplastic Agents, Hormonal/therapeutic use , Breast Neoplasms/therapy , Cancer Survivors/statistics & numerical data , Health Status Disparities , Medication Adherence/statistics & numerical data , Adult , Black or African American/statistics & numerical data , Aged , Aged, 80 and over , Breast Neoplasms/mortality , Breast Neoplasms/pathology , Chemotherapy, Adjuvant/methods , Chemotherapy, Adjuvant/statistics & numerical data , Female , Humans , Mastectomy , Middle Aged , Receptors, Estrogen/antagonists & inhibitors , Receptors, Estrogen/metabolism , Receptors, Progesterone/antagonists & inhibitors , Receptors, Progesterone/metabolism , Retrospective Studies , Survival Analysis , United States , White People/statistics & numerical data
2.
J Cancer Surviv ; 12(1): 74-81, 2018 02.
Article in English | MEDLINE | ID: mdl-29147853

ABSTRACT

PURPOSE: Advances in precision medicine (PM) have potential to reduce and/or eliminate breast cancer disparities in both treatment and survivorship. However, compared to white Americans, black Americans are often underrepresented in genetic research. This report assessed factors that influence receipt of buccal cells via saliva kits. METHODS: This prospective study recruited women with confirmed hormonal-positive (HR+) breast cancer (BC). A standardized telephone survey collected sociodemographic, socio-cultural (e.g., religiosity), and healthcare process factors. Clinical information was abstracted from medical records. After the baseline survey, return postage-paid envelopes and mouthwash collection kits were mailed. Univariate and adjusted logistic regression models estimated the probability of biospecimen donation. RESULTS: Seventy percent of the sample provided buccal cells which were of good quality. No differences were noted by race or other demographic factors. In the multivariable logistic model, time spent with providers (OR 1.61 per 1-point increase; 95% CI 1.242, 2.088) and religiosity (OR 0.957 per 1-point increase; 95% CI 0.931, 0.984) remained associated with biospecimen provision. Women with lower-stage cancer (vs. higher stage III+) were more likely to donate biospecimens (p < 0.05). CONCLUSIONS: Cancer care experiences predicted specimen donation. Understanding the contextual reasons for lower receipt among women with higher religiosity scores and higher stage warrants further examination. IMPLICATIONS FOR CANCER SURVIVORS: PM is relevant to cancer survivors because of its potential to inform targeted therapies, understand disease resistance, and aide in prediction of toxicity and/or recurrence. Future efforts to launch precision medicine trials with BC survivors may benefit from engaging medical oncologists and/or leveraging patient-provider encounters for trial participation.


Subject(s)
Biological Specimen Banks/standards , Black or African American/statistics & numerical data , Breast Neoplasms/ethnology , Breast Neoplasms/pathology , Precision Medicine/methods , White People/statistics & numerical data , Adult , Aged , Aged, 80 and over , Breast Neoplasms/mortality , Breast Neoplasms/therapy , Cancer Survivors , Female , Humans , Middle Aged , Specimen Handling/methods
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