Skip to main content
Top
Published in: Breast Cancer Research and Treatment 1/2020

01-01-2020 | Breast Cancer | Epidemiology

Factors associated with endocrine therapy adherence among post-menopausal women treated for early-stage breast cancer in Ontario, Canada

Authors: Phillip S. Blanchette, Melody Lam, Lucie Richard, Britney Allen, Salimah Z. Shariff, Ted Vandenberg, Kathleen I. Pritchard, Kelvin K. W. Chan, Alexander V. Louie, Danielle Desautels, Jacques Raphael, Craig C. Earle

Published in: Breast Cancer Research and Treatment | Issue 1/2020

Login to get access

Abstract

Purpose

Adherence to adjuvant endocrine therapy among post-menopausal breast cancer patients is an important survivorship care issue. We explored factors associated with endocrine therapy adherence and survival in a large real-world population-based study.

Methods

We used health administrative databases to follow women (aged ≥ 66 years) who were diagnosed with breast cancer and started on adjuvant endocrine therapy from 2005 to 2010. Adherence was measured by medical possession ratio (MPR) and characterized as low (< 39% MPR), intermediate (40–79% MPR), or high (≥ 80% MPR) over a 5-year period. We investigated factors associated with adherence using a multinomial logistic regression model. Factors associated with all-cause mortality (5 years after starting endocrine therapy) were investigated using a multivariable Cox proportional hazards model.

Results

We identified 5692 eligible patients starting adjuvant endocrine therapy who had low, intermediate, and high adherence rates of 13% (n = 749), 13% (n = 733), and 74% (n = 4210), respectively. Lower rates of adherence were associated with increased age [low vs. high adherence: odds ratio (OR) 1.03, 95% CI 1.02–1.05 (per year); intermediate vs. high adherence: OR 1.02, 95% CI 1.01–1.04 (per year)]. High adherence was associated with previous use of adjuvant chemotherapy (low versus high adherence OR 0.42, 95% CI 0.30–0.59) and short-term follow-up with a medical oncologist within 4 months of starting endocrine therapy (low versus high adherence OR 0.83, 95% CI 0.69–0.99). Unadjusted analysis showed increased survival among patients with high endocrine therapy adherence. However, an independent association was no longer clearly detected after controlling for confounders.

Conclusion

Interventions to improve adjuvant endocrine therapy adherence are warranted. Non-adherence may be a more significant issue among elderly patients. Short-term follow-up visit by a patient’s medical oncologist after starting endocrine therapy may help to improve compliance.
Appendix
Available only for authorised users
Literature
1.
go back to reference Pan H, Gray R, Davies C et al (2016) Predictors of recurrence during years 5–14 in 46,138 women with ER+ breast cancer allocated 5 years only of endocrine therapy (ET). J Clin Oncol 34:505 Pan H, Gray R, Davies C et al (2016) Predictors of recurrence during years 5–14 in 46,138 women with ER+ breast cancer allocated 5 years only of endocrine therapy (ET). J Clin Oncol 34:505
2.
go back to reference Davies C et al (2013) Long-term effects of continuing adjuvant tamoxifen to 10 years versus stopping at 5 years after diagnosis of oestrogen receptor-positive breast cancer: ATLAS, a randomised trial. Lancet 381(9869):805–816PubMedPubMedCentral Davies C et al (2013) Long-term effects of continuing adjuvant tamoxifen to 10 years versus stopping at 5 years after diagnosis of oestrogen receptor-positive breast cancer: ATLAS, a randomised trial. Lancet 381(9869):805–816PubMedPubMedCentral
3.
go back to reference Gray R (2013) aTTom: long-term effects of continuing adjuvant tamoxifen to 10 years versus stopping at 5 years in 6,934 women with early breast cancer. J Clin Oncol 31:5 Gray R (2013) aTTom: long-term effects of continuing adjuvant tamoxifen to 10 years versus stopping at 5 years in 6,934 women with early breast cancer. J Clin Oncol 31:5
4.
5.
go back to reference Chlebowski RT, Kim J, Haque R (2014) Adherence to endocrine therapy in breast cancer adjuvant and prevention settings. Cancer Prev Res (Phila) 7(4):378–387 Chlebowski RT, Kim J, Haque R (2014) Adherence to endocrine therapy in breast cancer adjuvant and prevention settings. Cancer Prev Res (Phila) 7(4):378–387
6.
go back to reference Murphy CC et al (2012) Adherence to adjuvant hormonal therapy among breast cancer survivors in clinical practice: a systematic review. Breast Cancer Res Treat 134(2):459–478PubMedPubMedCentral Murphy CC et al (2012) Adherence to adjuvant hormonal therapy among breast cancer survivors in clinical practice: a systematic review. Breast Cancer Res Treat 134(2):459–478PubMedPubMedCentral
7.
go back to reference Osterberg L, Blaschke T (2005) Adherence to medication. N Engl J Med 353(5):487–497PubMed Osterberg L, Blaschke T (2005) Adherence to medication. N Engl J Med 353(5):487–497PubMed
9.
go back to reference Charlson ME et al (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40(5):373–383PubMed Charlson ME et al (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40(5):373–383PubMed
10.
go back to reference Deyo RA, Cherkin DC, Ciol MA (1992) Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 45(6):613–619PubMed Deyo RA, Cherkin DC, Ciol MA (1992) Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 45(6):613–619PubMed
11.
go back to reference Tu K et al (2010) Validation of physician billing and hospitalization data to identify patients with ischemic heart disease using data from the Electronic Medical Record Administrative data Linked Database (EMRALD). Can J Cardiol 26(7):e225–e228PubMedPubMedCentral Tu K et al (2010) Validation of physician billing and hospitalization data to identify patients with ischemic heart disease using data from the Electronic Medical Record Administrative data Linked Database (EMRALD). Can J Cardiol 26(7):e225–e228PubMedPubMedCentral
12.
go back to reference Schultz SE et al (2013) Identifying cases of congestive heart failure from administrative data: a validation study using primary care patient records. Chronic Dis Inj Can 33(3):160–166PubMed Schultz SE et al (2013) Identifying cases of congestive heart failure from administrative data: a validation study using primary care patient records. Chronic Dis Inj Can 33(3):160–166PubMed
13.
go back to reference Hux JE et al (2002) Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care 25(3):512–516PubMed Hux JE et al (2002) Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care 25(3):512–516PubMed
14.
go back to reference Jaakkimainen RL et al (2016) Identification of physician-diagnosed alzheimer’s disease and related dementias in population-based administrative data: a validation study using family physicians’ electronic medical records. J Alzheimers Dis 54(1):337–349PubMed Jaakkimainen RL et al (2016) Identification of physician-diagnosed alzheimer’s disease and related dementias in population-based administrative data: a validation study using family physicians’ electronic medical records. J Alzheimers Dis 54(1):337–349PubMed
15.
go back to reference Fiest KM et al (2014) Systematic review and assessment of validated case definitions for depression in administrative data. BMC Psychiatry 14:289PubMedPubMedCentral Fiest KM et al (2014) Systematic review and assessment of validated case definitions for depression in administrative data. BMC Psychiatry 14:289PubMedPubMedCentral
16.
go back to reference O’Donnell S, G. Canadian Chronic Disease Surveillance System Osteoporosis Working (2013) Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study. Arch Osteoporos 2013(8):143 O’Donnell S, G. Canadian Chronic Disease Surveillance System Osteoporosis Working (2013) Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study. Arch Osteoporos 2013(8):143
17.
go back to reference Alotaibi GS et al (2015) The validity of ICD codes coupled with imaging procedure codes for identifying acute venous thromboembolism using administrative data. Vasc Med 20(4):364–368PubMed Alotaibi GS et al (2015) The validity of ICD codes coupled with imaging procedure codes for identifying acute venous thromboembolism using administrative data. Vasc Med 20(4):364–368PubMed
18.
go back to reference Peterson AM et al (2007) A checklist for medication compliance and persistence studies using retrospective databases. Value Health 10(1):3–12PubMed Peterson AM et al (2007) A checklist for medication compliance and persistence studies using retrospective databases. Value Health 10(1):3–12PubMed
19.
go back to reference Rasmussen JN, Chong A, Alter DA (2007) Relationship between adherence to evidence-based pharmacotherapy and long-term mortality after acute myocardial infarction. JAMA 297(2):177–186PubMed Rasmussen JN, Chong A, Alter DA (2007) Relationship between adherence to evidence-based pharmacotherapy and long-term mortality after acute myocardial infarction. JAMA 297(2):177–186PubMed
20.
go back to reference Chirgwin JH et al (2016) Treatment adherence and its impact on disease-free survival in the breast international group 1-98 trial of tamoxifen and letrozole, alone and in sequence. J Clin Oncol 34(21):2452–2459PubMedPubMedCentral Chirgwin JH et al (2016) Treatment adherence and its impact on disease-free survival in the breast international group 1-98 trial of tamoxifen and letrozole, alone and in sequence. J Clin Oncol 34(21):2452–2459PubMedPubMedCentral
21.
go back to reference Verma S et al (2011) Patient adherence to aromatase inhibitor treatment in the adjuvant setting. Curr Oncol 18(Suppl 1):S3–S9PubMedPubMedCentral Verma S et al (2011) Patient adherence to aromatase inhibitor treatment in the adjuvant setting. Curr Oncol 18(Suppl 1):S3–S9PubMedPubMedCentral
22.
go back to reference Trialists Early Breast Cancer Trialists’ Collaborative, G et al (2011) Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials. Lancet 378(9793):771–784 Trialists Early Breast Cancer Trialists’ Collaborative, G et al (2011) Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials. Lancet 378(9793):771–784
23.
go back to reference Coombes RC et al (2004) A randomized trial of exemestane after two to three years of tamoxifen therapy in postmenopausal women with primary breast cancer. N Engl J Med 350(11):1081–1092PubMed Coombes RC et al (2004) A randomized trial of exemestane after two to three years of tamoxifen therapy in postmenopausal women with primary breast cancer. N Engl J Med 350(11):1081–1092PubMed
24.
go back to reference Baum M et al (2002) Anastrozole alone or in combination with tamoxifen versus tamoxifen alone for adjuvant treatment of postmenopausal women with early breast cancer: first results of the ATAC randomised trial. Lancet 359(9324):2131–2139PubMed Baum M et al (2002) Anastrozole alone or in combination with tamoxifen versus tamoxifen alone for adjuvant treatment of postmenopausal women with early breast cancer: first results of the ATAC randomised trial. Lancet 359(9324):2131–2139PubMed
25.
go back to reference Wigertz A et al (2012) Adherence and discontinuation of adjuvant hormonal therapy in breast cancer patients: a population-based study. Breast Cancer Res Treat 133(1):367–373PubMed Wigertz A et al (2012) Adherence and discontinuation of adjuvant hormonal therapy in breast cancer patients: a population-based study. Breast Cancer Res Treat 133(1):367–373PubMed
26.
go back to reference Huiart L, Dell’Aniello S, Suissa S (2011) Use of tamoxifen and aromatase inhibitors in a large population-based cohort of women with breast cancer. Br J Cancer 104(10):1558–1563PubMedPubMedCentral Huiart L, Dell’Aniello S, Suissa S (2011) Use of tamoxifen and aromatase inhibitors in a large population-based cohort of women with breast cancer. Br J Cancer 104(10):1558–1563PubMedPubMedCentral
27.
go back to reference Hershman DL et al (2010) Early discontinuation and nonadherence to adjuvant hormonal therapy in a cohort of 8,769 early-stage breast cancer patients. J Clin Oncol 28(27):4120–4128PubMedPubMedCentral Hershman DL et al (2010) Early discontinuation and nonadherence to adjuvant hormonal therapy in a cohort of 8,769 early-stage breast cancer patients. J Clin Oncol 28(27):4120–4128PubMedPubMedCentral
28.
go back to reference van Herk-Sukel MP et al (2010) Half of breast cancer patients discontinue tamoxifen and any endocrine treatment before the end of the recommended treatment period of 5 years: a population-based analysis. Breast Cancer Res Treat 122(3):843–851PubMed van Herk-Sukel MP et al (2010) Half of breast cancer patients discontinue tamoxifen and any endocrine treatment before the end of the recommended treatment period of 5 years: a population-based analysis. Breast Cancer Res Treat 122(3):843–851PubMed
29.
go back to reference Partridge AH et al (2003) Nonadherence to adjuvant tamoxifen therapy in women with primary breast cancer. J Clin Oncol 21(4):602–606PubMed Partridge AH et al (2003) Nonadherence to adjuvant tamoxifen therapy in women with primary breast cancer. J Clin Oncol 21(4):602–606PubMed
30.
go back to reference Partridge AH et al (2008) Adherence to initial adjuvant anastrozole therapy among women with early-stage breast cancer. J Clin Oncol 26(4):556–562PubMed Partridge AH et al (2008) Adherence to initial adjuvant anastrozole therapy among women with early-stage breast cancer. J Clin Oncol 26(4):556–562PubMed
31.
go back to reference Pistilli B, Paci A, Michaels S et al (2018) Serum assessment of non-adherence to adjuvant endocrine therapy (ET) among premenopausal patients in the prospective multicenter CANTO cohort. Ann Oncol 29(8 Suppl):1850 Pistilli B, Paci A, Michaels S et al (2018) Serum assessment of non-adherence to adjuvant endocrine therapy (ET) among premenopausal patients in the prospective multicenter CANTO cohort. Ann Oncol 29(8 Suppl):1850
32.
go back to reference Saha P et al (2017) Treatment efficacy, adherence, and quality of life among women younger than 35 years in the international breast cancer study group text and soft adjuvant endocrine therapy trials. J Clin Oncol 35(27):3113–3122PubMedPubMedCentral Saha P et al (2017) Treatment efficacy, adherence, and quality of life among women younger than 35 years in the international breast cancer study group text and soft adjuvant endocrine therapy trials. J Clin Oncol 35(27):3113–3122PubMedPubMedCentral
33.
go back to reference Puts MT et al (2014) Factors influencing adherence to cancer treatment in older adults with cancer: a systematic review. Ann Oncol 25(3):564–577PubMed Puts MT et al (2014) Factors influencing adherence to cancer treatment in older adults with cancer: a systematic review. Ann Oncol 25(3):564–577PubMed
34.
go back to reference Nekhlyudov L et al (2011) Five-year patterns of adjuvant hormonal therapy use, persistence, and adherence among insured women with early-stage breast cancer. Breast Cancer Res Treat 130(2):681–689PubMed Nekhlyudov L et al (2011) Five-year patterns of adjuvant hormonal therapy use, persistence, and adherence among insured women with early-stage breast cancer. Breast Cancer Res Treat 130(2):681–689PubMed
35.
go back to reference Farias AJ, Du XL (2017) Association between out-of-pocket costs, race/ethnicity, and adjuvant endocrine therapy adherence among medicare patients with breast cancer. J Clin Oncol 35(1):86–95PubMed Farias AJ, Du XL (2017) Association between out-of-pocket costs, race/ethnicity, and adjuvant endocrine therapy adherence among medicare patients with breast cancer. J Clin Oncol 35(1):86–95PubMed
37.
go back to reference Kimmick G et al (2009) Adjuvant hormonal therapy use among insured, low-income women with breast cancer. J Clin Oncol 27(21):3445–3451PubMedPubMedCentral Kimmick G et al (2009) Adjuvant hormonal therapy use among insured, low-income women with breast cancer. J Clin Oncol 27(21):3445–3451PubMedPubMedCentral
38.
39.
go back to reference Follow-up after treatment for breast cancer (1998) The steering committee on clinical practice guidelines for the care and treatment of breast cancer. CMAJ 158(Suppl 3):S65–S70 Follow-up after treatment for breast cancer (1998) The steering committee on clinical practice guidelines for the care and treatment of breast cancer. CMAJ 158(Suppl 3):S65–S70
40.
go back to reference Runowicz CD et al (2016) American Cancer Society/American Society of Clinical Oncology Breast Cancer Survivorship Care Guideline. J Clin Oncol 34(6):611–635PubMed Runowicz CD et al (2016) American Cancer Society/American Society of Clinical Oncology Breast Cancer Survivorship Care Guideline. J Clin Oncol 34(6):611–635PubMed
41.
go back to reference Halpern MT et al (2015) Models of cancer survivorship care: overview and summary of current evidence. J Oncol Pract 11(1):e19–e27PubMed Halpern MT et al (2015) Models of cancer survivorship care: overview and summary of current evidence. J Oncol Pract 11(1):e19–e27PubMed
42.
go back to reference Heiney SP et al (2018) A systematic review of interventions to improve adherence to endocrine therapy. Breast Cancer Res Treat 173(3):499–510PubMedPubMedCentral Heiney SP et al (2018) A systematic review of interventions to improve adherence to endocrine therapy. Breast Cancer Res Treat 173(3):499–510PubMedPubMedCentral
43.
44.
go back to reference Grunfeld E et al (2011) Evaluating survivorship care plans: results of a randomized, clinical trial of patients with breast cancer. J Clin Oncol 29(36):4755–4762PubMed Grunfeld E et al (2011) Evaluating survivorship care plans: results of a randomized, clinical trial of patients with breast cancer. J Clin Oncol 29(36):4755–4762PubMed
45.
go back to reference Cheng KKF et al (2017) Home-based multidimensional survivorship programmes for breast cancer survivors. Cochrane Database Syst Rev 8:CD011152PubMed Cheng KKF et al (2017) Home-based multidimensional survivorship programmes for breast cancer survivors. Cochrane Database Syst Rev 8:CD011152PubMed
46.
go back to reference Ziller V et al (2013) Influence of a patient information program on adherence and persistence with an aromatase inhibitor in breast cancer treatment–the COMPAS study. BMC Cancer 13:407PubMedPubMedCentral Ziller V et al (2013) Influence of a patient information program on adherence and persistence with an aromatase inhibitor in breast cancer treatment–the COMPAS study. BMC Cancer 13:407PubMedPubMedCentral
Metadata
Title
Factors associated with endocrine therapy adherence among post-menopausal women treated for early-stage breast cancer in Ontario, Canada
Authors
Phillip S. Blanchette
Melody Lam
Lucie Richard
Britney Allen
Salimah Z. Shariff
Ted Vandenberg
Kathleen I. Pritchard
Kelvin K. W. Chan
Alexander V. Louie
Danielle Desautels
Jacques Raphael
Craig C. Earle
Publication date
01-01-2020
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 1/2020
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-019-05430-6

Other articles of this Issue 1/2020

Breast Cancer Research and Treatment 1/2020 Go to the issue

Editorial

Editorial

Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine