The <scp>RESILIENT</scp> Study: A Retrospective, Descriptive, Correlational Investigation of Correlates of Oral Endocrine Therapy Adherence in Older Women With Breast Cancer

BACKGROUND: Breast cancer is the most prevalent and costly cancer. Oral endocrine therapy (OET) improves survival rates and quality of life while reducing recurrence, mortality, morbidity, and medical costs. However, adherence to OET is challenging because OET is prescribed for 5-10 years. Determinants of OET nonadherence (NA) among women aged 65 and older remain poorly characterized. Existing studies are limited, often focusing on small, single-site samples and focusing on patient-level rather than multi-level determinants. Despite the unique needs of older women, research on OET-NA remains scarce. OBJECTIVE: This study identified multi-level determinants of OET-NA in older women using ecological systems theory and the World Health Organization's five-dimension model. METHODS: A descriptive, correlational secondary data analysis was conducted using the 2019 Surveillance-Epidemiology-End-Results (SEER) Medicare database, which includes more than 9 million cancer cases in the United States. RESULT: OET-NA was significantly affected by (a) patient-related factors of ethnicity (i.e., Black [AOR 1.55; 95% CI 1.34-1.78; p < 0.001]) and psychological issues (i.e., depression [OR 1.40; 95% CI 1.27-1.54; p < 0.001]), (b) socioeconomic-related factors of marital status (i.e., divorced [OR 1.17; 95% CI 1.04-1.32; p ≤ 0.01]), and lifestyle (i.e., tobacco use [OR 1.41; 95% CI 1.22-1.63; p < 0.001]), (c) therapy-related factors of switching OET medications (OR 2.72; 95% CI 2.41-3.07; p < 0.001), (d) condition-related factors of comorbidities (i.e., obesity [OR 1.13; 95% CI 1.03-1.23; p < 0.01]), and (e) characteristics of the healthcare team and health system-related factors (i.e., group practice type [OR 1.26; 95% CI 1.01-1.56; p < 0.05]). CONCLUSION: OET-NA was associated with multi-level determinants, including being Black, having depression, being divorced, using tobacco, switching OET medications, having obesity, and receiving care in group practices. Identifying these determinants is a critical first step toward developing and testing interventions to improve OET-NA and enhance survival and quality of life.

Authors

Institutions

Publication Details

Journal
Cancer Medicine
Published
2026-05-01
DOI
https://doi.org/10.1002/cam4.71925
Primary Topic
Medication Adherence and Compliance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The RESILIENT Study: A Retrospective, Descriptive, Correlational Investigation of Correlates of Oral Endocrine Therapy Adherence in Older Women With Breast Cancer

Rebecca J. Bartlett Ellis, Lori Erickson, Cynthia L. Russell Lippincott, Sunny Y. Ruggeri et al.
Cancer Medicine
Medication Adherence and Compliance
article

The RESILIENT Study: A Retrospective, Descriptive, Correlational Investigation of Correlates of Oral Endocrine Therapy Adherence in Older Women With Breast Cancer

Rebecca J. Bartlett Ellis, Lori Erickson, Cynthia L. Russell Lippincott, Sunny Y. Ruggeri, Steven R. Chesnut, Gregory L. Alexander
article en

Abstract

BACKGROUND: Breast cancer is the most prevalent and costly cancer. Oral endocrine therapy (OET) improves survival rates and quality of life while reducing recurrence, mortality, morbidity, and medical costs. However, adherence to OET is challenging because OET is prescribed for 5-10 years. Determinants of OET nonadherence (NA) among women aged 65 and older remain poorly characterized. Existing studies are limited, often focusing on small, single-site samples and focusing on patient-level rather than multi-level determinants. Despite the unique needs of older women, research on OET-NA remains scarce. OBJECTIVE: This study identified multi-level determinants of OET-NA in older women using ecological systems theory and the World Health Organization's five-dimension model. METHODS: A descriptive, correlational secondary data analysis was conducted using the 2019 Surveillance-Epidemiology-End-Results (SEER) Medicare database, which includes more than 9 million cancer cases in the United States. RESULT: OET-NA was significantly affected by (a) patient-related factors of ethnicity (i.e., Black [AOR 1.55; 95% CI 1.34-1.78; p < 0.001]) and psychological issues (i.e., depression [OR 1.40; 95% CI 1.27-1.54; p < 0.001]), (b) socioeconomic-related factors of marital status (i.e., divorced [OR 1.17; 95% CI 1.04-1.32; p ≤ 0.01]), and lifestyle (i.e., tobacco use [OR 1.41; 95% CI 1.22-1.63; p < 0.001]), (c) therapy-related factors of switching OET medications (OR 2.72; 95% CI 2.41-3.07; p < 0.001), (d) condition-related factors of comorbidities (i.e., obesity [OR 1.13; 95% CI 1.03-1.23; p < 0.01]), and (e) characteristics of the healthcare team and health system-related factors (i.e., group practice type [OR 1.26; 95% CI 1.01-1.56; p < 0.05]). CONCLUSION: OET-NA was associated with multi-level determinants, including being Black, having depression, being divorced, using tobacco, switching OET medications, having obesity, and receiving care in group practices. Identifying these determinants is a critical first step toward developing and testing interventions to improve OET-NA and enhance survival and quality of life.

Cancer MedicineVol. 15(5)
Children's Mercy Hospital (US), University of Massachusetts Lowell (US), Indiana University Indianapolis (US), Indiana University – Purdue University Indianapolis (US), University of Missouri–Kansas City (US), Columbia University (US)
Worcester State Foundation, University of Massachusetts Lowell
Good health and well-being
Openalex Percentile: Top 4%
Medication Adherence and Compliance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.