Literature DB >> 27322700

Patient-reported Adherence to Adjuvant Aromatase Inhibitor Therapy Using the Morisky Medication Adherence Scale: An Evaluation of Predictors.

Susan B Kesmodel1, Olga G Goloubeva2, Paula Y Rosenblatt3, Brian Heiss3, Emily C Bellavance1, Saranya Chumsri3, Ting Bao3, Jennifer Thompson4, Ginah Nightingale4, Nancy S Tait4, Elizabeth M Nichols5, Steve J Feigenberg5, Katherine H Tkaczuk3.   

Abstract

OBJECTIVES: Endocrine therapy is part of standard adjuvant therapy for patients with hormone receptor-positive breast cancer and has been shown to improve recurrence-free and overall survival. However, adherence to endocrine therapy is suboptimal and is difficult to measure. In this study we evaluate the feasibility of using the Morisky Medication Adherence Scale (MMAS) to assess patient adherence to aromatase inhibitor (AI) therapy.
METHODS: Patients with stage 1 to 3, hormone receptor-positive breast cancer receiving adjuvant AI therapy were prospectively enrolled on an Institutional Review Board approved protocol. The MMAS questionnaire was administered to each patient and adherence was measured. Information on duration of AI therapy, patient and tumor characteristics, and treatment was collected. A multivariable logit model approach was utilized to evaluate potential barriers to adherence.
RESULTS: Between 2011 and 2014, 100 patients were enrolled. The distribution of adherence levels was 13% low, 37% medium, and 50% high. High adherence was reported more frequently in white women (58%), patients with stage 2 and 3 disease (54%), and patients who did not receive chemotherapy (62%). Multivariable analysis demonstrated that higher adherence was more likely in white women compared with African American women (estimated odds ratio=2.8).
CONCLUSIONS: Using the MMAS, only 50% of women with stage 1 to 3 breast cancer reported high adherence to AI therapy, consistent with other reports showing suboptimal adherence to adjuvant endocrine therapy. The MMAS allows for the rapid assessment of adherence to oral adjuvant endocrine therapy and is valuable in a busy clinical setting.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 27322700     DOI: 10.1097/COC.0000000000000314

Source DB:  PubMed          Journal:  Am J Clin Oncol        ISSN: 0277-3732            Impact factor:   2.339


  6 in total

1.  The relationship among psychosocial adaptation, medication adherence and quality of life in breast cancer women with adjuvant endocrine therapy.

Authors:  Haoran Jiang; Yu Dong; Wei Zong; Xiu-Jie Zhang; Hui Xu; Feng Jin
Journal:  BMC Womens Health       Date:  2022-04-27       Impact factor: 2.742

Review 2.  Interventions to improve endocrine therapy adherence in breast cancer survivors: what is the evidence?

Authors:  Ekim Ekinci; Salima Nathoo; Thushara Korattyil; Aisha Vadhariya; Hanna A Zaghloul; Polly A Niravath; Susan M Abughosh; Meghana V Trivedi
Journal:  J Cancer Surviv       Date:  2018-02-02       Impact factor: 4.442

3.  A systematic review of interventions to improve adherence to endocrine therapy.

Authors:  Sue P Heiney; Pearman D Parker; Tisha M Felder; Swann Arp Adams; Omonefe O Omofuma; Jennifer M Hulett
Journal:  Breast Cancer Res Treat       Date:  2018-11-01       Impact factor: 4.872

4.  Race and Patient-reported Symptoms in Adherence to Adjuvant Endocrine Therapy: A Report from the Women's Hormonal Initiation and Persistence Study.

Authors:  Vanessa B Sheppard; Arnethea L Sutton; Alejandra Hurtado-de-Mendoza; Jun He; Bassam Dahman; Megan C Edmonds; Mary Helen Hackney; Mahlet G Tadesse
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-01-29       Impact factor: 4.254

5.  Racial and Geographic Disparities in Endocrine Therapy Adherence Among Younger Breast Cancer Survivors.

Authors:  Sue P Heiney; Samantha Truman; Oluwole A Babatunde; Tisha M Felder; Jan M Eberth; Elizabeth Crouch; Karen E Wickersham; Swann Arp Adams
Journal:  Am J Clin Oncol       Date:  2020-07       Impact factor: 2.787

6.  Adherence status to Adjuvant Endocrine Therapy in Chinese Women with Early Breast Cancer and its influencing factors: A cross-sectional survey.

Authors:  Hui Xu; Feng Jin; Xiu-Jie Zhang; Da-Qiu Wang; Shao-Fen Yu; Ai-Ping Wang
Journal:  Cancer Med       Date:  2020-04-01       Impact factor: 4.452

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.