Oral therapy adherence and satisfaction in patients with multiple myeloma

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TitreOral therapy adherence and satisfaction in patients with multiple myeloma
Type de publicationJournal Article
Year of Publication2021
AuteursSolano M, Daguindau E, Faure C, Loriod P, Pain C, Maes A-C, Marguet P, Kroemer M, Rumpler A, Fontan J, Deconinck E, Limat S, Clairet A-L
JournalANNALS OF HEMATOLOGY
Volume100
Pagination1803-1813
Date PublishedJUL
Type of ArticleArticle
ISSN0939-5555
Mots-clésAdherence, Carer, Immunomodulatory drug, Multiple myeloma, Pharmacist, Satisfaction
Résumé

The transition to oral therapies in patients with multiple myeloma (MM) offers potential benefits to patients; however, they must self-manage their medication and adherence plays an important role in patient care. It has been shown that patient satisfaction with their medication has a strong positive correlation with adherence in chronic diseases. The aim of this study was to estimate adherence rate of oral antimyeloma therapies and to identify risk factors for medication non-adherence. This observational, prospective, and multicentre survey based on a self-report questionnaire enrolled MM patients with at least 3 months of oral therapy. The 6-item Girerd scale and the medication possession ratio (MPR) were used for measuring medication adherence and the SATMED-Q (R) questionnaire was used for measuring satisfaction. An analysis of risk factors for non-adherence to oral therapy was performed using univariate analysis. A total of 101 patients participated in the survey, yielding a response rate of 87%. The prevalence of adherence to oral antimyeloma therapy was estimated at 51.5% using the Girerd questionnaire. According to the MPR, adherence was evaluated at 96% (i.e. MPR >= 0.80). Both methods combined, adherence was estimated at 50.5%. One risk factor for medication non-adherence was identified: Eastern Cooperative Oncology Group Performance Status > 2 (p = 0.007). One predictive factor for high medication adherence was identified: high satisfaction with treatment (p = 0.01). Identifying patients at higher risk for non-adherence allows clinical pharmacists to personalise therapeutic information and education and to improve the quality of healthcare overall.

DOI10.1007/s00277-021-04543-7