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Concurrent factors associated with adherence to adjuvant endocrine therapy among women with non-metastatic breast cancer

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Abstract

Purpose

Adjuvant endocrine therapy (AET) reduces breast cancer morbidity and mortality, yet women often report suboptimal adherence. Though correlates of AET adherence are well-documented, few studies examine the relative importance of multi-level factors associated with adherence. The aim of this study was to identify factors most strongly associated with AET adherence in women with breast cancer.

Methods

Between 10/2019 and 6/2021, women (N = 100) with non-metastatic, hormone receptor-positive breast cancer, taking AET who reported AET-related distress enrolled into a clinical trial. Participants completed baseline measures, including the Medication Adherence Rating Scale-5, sociodemographics, and validated measures of anxiety, depression, medication-taking self-efficacy, social support, and treatment satisfaction. We created a latent factor and tested associations between sociodemographic, medical, and psychosocial characteristics and adherence. Associated predictors (p < .10) were entered into a structural model, which was corroborated via multivariate regression modeling.

Results

A four-indicator latent adherence factor demonstrated good model fit. Participants (Mage = 56.1 years, 91% White) who were unemployed (B = 0.27, SE = 0.13, p = .046) and reported greater treatment convenience (B = 0.01, SE = 0.01, p = .046) reported greater adherence. Scores of participants who reported greater medication-taking self-efficacy (p = .097) and social support (p = .062) approached better adherence. Greater medication-taking self-efficacy (B = 0.08, SE = 0.02, p < .001) and being unemployed (B = 0.28, SE = .14, p = .042) were most strongly associated with greater adherence, independent of other predictors. Multivariate modeling confirmed similar findings.

Conclusions

Medication-taking self-efficacy and employment status were associated with AET adherence above other related factors.

Implications for Cancer Survivors

Enhancing patients’ confidence in their ability to take AET for breast cancer may represent an important intervention target to boost adherence.

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Data availability

Data is available from the corresponding author per reasonable request.

References

  1. Nadji M, Gomez-Fernandez C, Ganjei-Azar P, Morales AR. Immunohistochemistry of estrogen and progesterone receptors reconsidered: experience with 5,993 breast cancers. Am J Clin Pathol. 2005;123(1):21–7. https://doi.org/10.1309/4WV79N2GHJ3X1841.

    Article  PubMed  Google Scholar 

  2. Dunnwald LK, Rossing MA, Li CI. Hormone receptor status, tumor characteristics, and prognosis: a prospective cohort of breast cancer patients. Breast Cancer Res. 2007;9(1). https://doi.org/10.1186/BCR1639

  3. Burstein HJ, Prestrud AA, Seidenfeld J, et al. American Society of Clinical Oncology clinical practice guideline: update on adjuvant endocrine therapy for women with hormone receptor-positive breast cancer. J Clin Oncol. 2010;28(23):3784–96. https://doi.org/10.1200/JCO.2009.26.3756.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Bradley R, Burrett J, Clarke M, et al. Aromatase inhibitors versus tamoxifen in early breast cancer: patient-level meta-analysis of the randomised trials. Lancet. 2015;386(10001):1341–52. https://doi.org/10.1016/S0140-6736(15)61074-1.

    Article  CAS  Google Scholar 

  5. Abe O, Abe R, Enomoto K, et al. Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials. The Lancet. 2011;378(9793):771–84. https://doi.org/10.1016/S0140-6736(11)60993-8.

    Article  CAS  Google Scholar 

  6. Reinbolt RE, Mangini N, Hill JL, et al. Endocrine therapy in breast cancer: the neoadjuvant, adjuvant, and metastatic approach. Semin Oncol Nurs. 2015;31(2):146–55. https://doi.org/10.1016/J.SONCN.2015.02.002.

    Article  PubMed  Google Scholar 

  7. Burstein HJ, Lacchetti C, Anderson H, et al. Adjuvant endocrine therapy for women with hormone receptor–positive breast cancer: ASCO clinical practice guideline focused update. J Clin Oncol. 2019;37(5):423–38. https://doi.org/10.1200/JCO.18.01160.

    Article  CAS  PubMed  Google Scholar 

  8. Jacobs JM, Walsh EA, Park ER, et al. The patient’s voice: adherence, symptoms, and distress related to adjuvant endocrine therapy after breast cancer. Int J Behav Med. 2020;27(6):687–97. https://doi.org/10.1007/S12529-020-09908-2.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Bright EE, Petrie KJ, Partridge AH, Stanton AL. Barriers to and facilitative processes of endocrine therapy adherence among women with breast cancer. Breast Cancer Res Treat. 2016;158(2):243–51. https://doi.org/10.1007/s10549-016-3871-3.

    Article  PubMed  Google Scholar 

  10. Vaz-Luis I, Francis PA, Di Meglio A, Stearns V. Challenges in adjuvant therapy for premenopausal women diagnosed with luminal breast cancers. Am Soc Clin Oncol Educ Book. 2021;41(41):e47–61. https://doi.org/10.1200/EDBK_320595.

    Article  Google Scholar 

  11. Burkhart PV, Sabaté E. Adherence to long-term therapies: evidence for action. J Nurs Scholarsh. 2003;35(3):207–207. https://doi.org/10.1111/J.1547-5069.2003.TB00001.X.

    Article  PubMed  Google Scholar 

  12. Barlow F, Walker J, Lewith G. Effects of spiritual healing for women undergoing long-term hormone therapy for breast cancer: a qualitative investigation. J Altern Complement Med. 2013;19(3):211–6. https://doi.org/10.1089/ACM.2012.0091.

    Article  PubMed  Google Scholar 

  13. Harrow A, Dryden R, McCowan C, et al. A hard pill to swallow: a qualitative study of women’s experiences of adjuvant endocrine therapy for breast cancer. BMJ Open. 2014;4(6). https://doi.org/10.1136/bmjopen-2014-005285

  14. Smith KL, Verma N, Blackford AL, et al. Association of treatment-emergent symptoms identified by patient-reported outcomes with adjuvant endocrine therapy discontinuation. npj Breast Cancer. 2022;8(1):1–13. https://doi.org/10.1038/s41523-022-00414-0.

    Article  CAS  Google Scholar 

  15. Bender CM, Gentry AL, Brufsky AM, et al. Influence of patient and treatment factors on adherence to adjuvant endocrine therapy in breast cancer. Oncol Nurs Forum. 2014;41(3):274–85. https://doi.org/10.1188/14.ONF.274-285.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Yusufov M, Nathan M, Wiley A, Russell J, Partridge A, Joffe H. Predictors of increased risk for early treatment non-adherence to oral anti-estrogen therapies in early-stage breast cancer patients. Breast Cancer Res Treat. 2021;185(1):53–62. https://doi.org/10.1007/S10549-020-05920-Y.

    Article  CAS  PubMed  Google Scholar 

  17. Mausbach BT, Schwab RB, Irwin SA. Depression as a predictor of adherence to adjuvant endocrine therapy (AET) in women with breast cancer: a systematic review and meta-analysis. Breast Cancer Res Treat. 2015;152(2):239–46. https://doi.org/10.1007/S10549-015-3471-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Lambert LK, Balneaves LG, Howard AF, Gotay CC. Patient-reported factors associated with adherence to adjuvant endocrine therapy after breast cancer: an integrative review. Breast Cancer Res Treat. 2018;167(3):615–33. https://doi.org/10.1007/S10549-017-4561-5.

    Article  PubMed  Google Scholar 

  19. Sawesi S, Carpenter JS, Jones J. Reasons for nonadherence to tamoxifen and aromatase inhibitors for the treatment of breast cancer: a literature review. Clin J Oncol Nurs. 2014;18(3). https://doi.org/10.1188/14.CJON.E50-E57

  20. Farias AJ, Du XL. Association between out-of-pocket costs, race/ethnicity, and adjuvant endocrine therapy adherence among medicare patients with breast cancer. J Clin Oncol. 2017;35(1):86–95. https://doi.org/10.1200/JCO.2016.68.2807.

    Article  PubMed  Google Scholar 

  21. Farias AJ, Hansen RN, Zeliadt SB, Ornelas IJ, Li CI, Thompson B. The association between out-of-pocket costs and adherence to adjuvant endocrine therapy among newly diagnosed breast cancer patients. Am J Clin Oncol. 2018;41(7):708–15. https://doi.org/10.1097/COC.0000000000000351.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Karmakar M, Pinto SL, Jordan TR, Mohamed I, Holiday-Goodman M. Predicting adherence to aromatase inhibitor therapy among breast cancer survivors: an application of the protection motivation theory. Breast Cancer (Auckl). 2017;11. https://doi.org/10.1177/1178223417694520

  23. Roberts MC, Wheeler SB, Reeder-Hayes K. Racial/ethnic and socioeconomic disparities in endocrine therapy adherence in breast cancer: a systematic review. Am J Public Health. 2015;105(Suppl 3): e4. https://doi.org/10.2105/AJPH.2014.302490.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Emerson MA, Achacoso NS, Benefield HC, Troester MA, Habel LA. Initiation and adherence to adjuvant endocrine therapy among urban, insured American Indian/Alaska Native breast cancer survivors. Cancer. 2021;127(11):1847–56. https://doi.org/10.1002/CNCR.33423.

    Article  CAS  PubMed  Google Scholar 

  25. Ma S, Shepard DS, Ritter GA, Martell RE, Thomas CP. The impact of the introduction of generic aromatase inhibitors on adherence to hormonal therapy over the full course of 5-year treatment for breast cancer. Cancer. 2020;126(15):3417–25. https://doi.org/10.1002/CNCR.32976.

    Article  CAS  PubMed  Google Scholar 

  26. Cahir C, Barron TI, Sharp L, Bennett K. Can demographic, clinical and treatment-related factors available at hormonal therapy initiation predict non-persistence in women with stage I-III breast cancer? Cancer Causes Control. 2017;28(3):215–25. https://doi.org/10.1007/S10552-017-0851-9.

    Article  PubMed  Google Scholar 

  27. Toivonen KI, Williamson TM, Carlson LE, Walker LM, Campbell TS. Potentially modifiable factors associated with adherence to adjuvant endocrine therapy among breast cancer survivors: a systematic review. Cancers (Basel). 2021;13(1):1–22. https://doi.org/10.3390/CANCERS13010107.

    Article  Google Scholar 

  28. Tan EH, Wong ALA, Tan CC, et al. Facilitators and barriers to medication adherence with adjuvant endocrine therapy in women with breast cancer: a structural equation modelling approach. Breast Cancer Res Treat. 2021;188(3):779–88. https://doi.org/10.1007/S10549-021-06204-9/TABLES/4.

    Article  CAS  PubMed  Google Scholar 

  29. Jacobs JM, Post K, Massad K, et al. A telehealth intervention for symptom management, distress, and adherence to adjuvant endocrine therapy: a randomized controlled trial. Cancer. 2022;128(19):3541–51. https://doi.org/10.1002/CNCR.34409.

    Article  PubMed  Google Scholar 

  30. Jacobs JM, Rapoport CS, Horenstein A, et al. Study protocol for a randomised controlled feasibility trial of a virtual intervention (STRIDE) for symptom management, distress and adherence to adjuvant endocrine therapy after breast cancer. BMJ Open. 2021;11(1):e041626. https://doi.org/10.1136/bmjopen-2020-041626.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Farmer KC. Methods for measuring and monitoring medication regimen adherence in clinical trials and clinical practice. Clin Ther. 1999;21(6):1074–90. https://doi.org/10.1016/S0149-2918(99)80026-5.

    Article  CAS  PubMed  Google Scholar 

  32. Dabrowski M, Boucher K, Ward JH, et al. Clinical experience with the NCCN distress thermometer in breast cancer patients. J Natl Compr Canc Netw. 2007;5(1):104–11. https://doi.org/10.6004/JNCCN.2007.0011.

    Article  PubMed  Google Scholar 

  33. Risser J, Jacobson TA, Kripalani S. Development and psychometric evaluation of the Self-efficacy for Appropriate Medication Use Scale (SEAMS) in low-literacy patients with chronic disease. J Nurs Meas. 2007;15(3):203–19. https://doi.org/10.1891/106137407783095757.

    Article  PubMed  Google Scholar 

  34. Zimet GD, Powell SS, Farley GK, Werkman S, Berkoff KA. Psychometric characteristics of the Multidimensional Scale of Perceived Social Support. J Pers Assess. 1990;55(3–4):610–7. https://doi.org/10.1080/00223891.1990.9674095.

    Article  CAS  PubMed  Google Scholar 

  35. Abetz L, Coombs JH, Keininger DL, et al. Development of the cancer therapy satisfaction questionnaire: item generation and content validity testing. Value Health. 2005;8 Suppl 1(SUPPL. 1). https://doi.org/10.1111/J.1524-4733.2005.00073.X

  36. Zigmond AS, Snaith RP. The Hospital Anxiety and Depression Scale. Acta Psychiatr Scand. 1983;67(6):361–70. https://doi.org/10.1111/j.1600-0447.1983.tb09716.x.

    Article  CAS  PubMed  Google Scholar 

  37. Brady MJ, Cella DF, Mo F, et al. Reliability and validity of the Functional Assessment of Cancer Therapy-Breast quality-of-life instrument. J Clin Oncol. 1997;15(3):974–86. https://doi.org/10.1200/JCO.1997.15.3.974.

    Article  CAS  PubMed  Google Scholar 

  38. Chan AHY, Horne R, Hankins M, Chisari C. The Medication Adherence Report Scale: a measurement tool for eliciting patients’ reports of nonadherence. Br J Clin Pharmacol. 2020;86(7):1281–8. https://doi.org/10.1111/BCP.14193.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Walsh EA, Post K, Massad K, et al. Identification of patient subgroups who benefit from a behavioral intervention to improve adjuvant endocrine therapy adherence: a randomized-controlled trial. Breast Cancer Res Treat. 2024. https://doi.org/10.1007/s10549-023-07228-z.

    Article  PubMed  Google Scholar 

  40. Stern AF. The Hospital Anxiety and Depression Scale. Occup Med (Chic Ill). 2014;64(5):393–4. https://doi.org/10.1093/OCCMED/KQU024.

    Article  ADS  Google Scholar 

  41. Stanton AL, Petrie KJ, Partridge AH. Contributors to nonadherence and nonpersistence with endocrine therapy in breast cancer survivors recruited from an online research registry. Breast Cancer Res Treat. 2014;145(2):525–34. https://doi.org/10.1007/S10549-014-2961-3/TABLES/4.

    Article  PubMed  Google Scholar 

  42. Sutton AL, Salgado TM, He J, Hurtado-de-Mendoza A, Sheppard VB. Sociodemographic, clinical, psychosocial, and healthcare-related factors associated with beliefs about adjuvant endocrine therapy among breast cancer survivors. Support Care Cancer. 2020;28(9):4147. https://doi.org/10.1007/S00520-019-05247-5.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Lee JY, Min YH. Relationships between determinants of adjuvant endocrine therapy adherence in breast cancer. BMC Womens Health. 2018;18(1). https://doi.org/10.1186/S12905-018-0522-3

  44. Park SK, Min YH, Lee SB. Longitudinal trends in illness perception and depression during adjuvant breast cancer endocrine therapy: a prospective observational study. Healthcare. 2021;9(9). https://doi.org/10.3390/HEALTHCARE9091223

  45. Van Liew JR, Christensen AJ, de Moor JS. Psychosocial factors in adjuvant hormone therapy for breast cancer: An emerging context for adherence research. J Cancer Surviv. 2014;8(3):521–31. https://doi.org/10.1007/S11764-014-0374-2/FIGURES/1.

    Article  PubMed  Google Scholar 

  46. Maulsby CH, Ratnayake A, Hesson D, Mugavero MJ, Latkin CA. A scoping review of employment and HIV. AIDS Behav. 2020;24(10):2942–55. https://doi.org/10.1007/s10461-020-02845-x.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Sedani AE, Davis OC, Clifton SC, Campbell JE, Chou AF. Facilitators and barriers to implementation of lung cancer screening: a framework-driven systematic review. J Natl Cancer Inst. 2022;114(11):1449–67. https://doi.org/10.1093/jnci/djac154.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Smits-Seemann RR, Kaul S, Zamora ER, Wu YP, Kirchhoff AC. Barriers to follow-up care among survivors of adolescent and young adult cancer. J Cancer Surviv. 2017;11(1):126–32. https://doi.org/10.1007/s11764-016-0570-3.

    Article  PubMed  Google Scholar 

  49. Eller LS, Lev EL, Yuan C, Watkins AV. Describing self-care self-efficacy: definition, measurement, outcomes, and implications. Int J Nurs Knowl. 2018;29(1):38–48. https://doi.org/10.1111/2047-3095.12143.

    Article  PubMed  Google Scholar 

  50. Gonzalez JS, Tanenbaum ML, Commissariat PV. Psychosocial factors in medication adherence and diabetes self-management: implications for research and practice. Am Psychol. 2016;71(7):539. https://doi.org/10.1037/A0040388.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Polsook R, Aungsuroch Y, Thongvichean T. The effect of self-efficacy enhancement program on medication adherence among post-acute myocardial infarction. Appl Nurs Res. 2016;32:67–72. https://doi.org/10.1016/J.APNR.2016.05.002.

    Article  PubMed  Google Scholar 

  52. Farley H. Promoting self-efficacy in patients with chronic disease beyond traditional education: a literature review. Nurs Open. 2020;7(1):30. https://doi.org/10.1002/NOP2.382.

    Article  PubMed  Google Scholar 

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Funding

This work was supported by the National Cancer Institute (#K07CA211107, PI: Jacobs).

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Authors and Affiliations

Authors

Contributions

EW and JJ conceptualized the study and conducted the formal analysis. EW, LW, MH, and NH wrote the main, original manuscript test. JJ acquired study funding. All authors reviewed, edited, and approved the final manuscript.

Corresponding author

Correspondence to Emily A. Walsh.

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Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all participants included in the study.

Consent for publication

Not applicable.

Conflict of interest

Ms. Emily Walsh, Ms. Leah Walsh, Mr. Max Hernand, Ms. Nora Horick, and Dr. Jennifer Temel: no conflicts of interest or financial interests. Dr. Michael Antoni: paid consultant for Blue Note Therapeutics and Atlantis Healthcare; co-inventor of cognitive behavioral stress management, filed as IP with the University of Miami (UMIP-483), which is licensed to Blue Note Therapeutics. Dr. Joseph Greer: paid consultant for BeiGene, research funding from Blue Note Therapeutics, royalties for an edited book from Oxford University Press. Dr. Jamie Jacobs: prior financial interest in VivorCare, Inc. (reviewed and managed by MGH and Mass General Brigham); paid consultant for VivorCare, Inc.; paid consultant for Reunion Neuroscience Inc.

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NCT03837496.

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Walsh, E.A., Walsh, L.E., Hernand, M. et al. Concurrent factors associated with adherence to adjuvant endocrine therapy among women with non-metastatic breast cancer. J Cancer Surviv (2024). https://doi.org/10.1007/s11764-024-01556-9

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