Literature DB >> 28289895

Factors influencing adherence in CML and ways to improvement: Results of a patient-driven survey of 2546 patients in 63 countries.

Jan Geissler1,2,3, Giora Sharf4,5, Felice Bombaci6, Mina Daban7, Jan De Jong8, Tony Gavin9, Jana Pelouchova10, Euzebiusz Dziwinski11, Joerg Hasford12, Verena Sophia Hoffmann12.   

Abstract

Optimal adherence to CML therapy is of key importance to maximize treatment effectiveness. Two clinical studies (ADAGIO and Hammersmith) have proven a clear correlation between adherence and achieving optimal treatment response and have revealed that non-adherence is common in CML patients (Marin et al. in J Clin Oncol 28(24):2381-2388, 2010, Noens et al. in Haematologica 99(33):437-447, 2014). The aim of this study is to assess the extent of suboptimal adherence and to investigate motivations and behavioural patterns of adherence in a worldwide patient sample. Questionnaires were provided by the CML Advocates Network and were filled in by patients online and offline. Patient characteristics, treatment and motivations were collected. Adherence was assessed by the 8-item Morisky Medication Adherence scale. Logistic regression models were fitted to investigate the influence of different factors on adherence. Overall, 2 546 questionnaires from 63 countries and 79 CML patient organisations were evaluable. 32.7% of participants were highly adherent, 46.5% were in the medium and 20.7% in the low adherence group. Factors increasing the probability of being in the high adherence group are older age, male sex, management of side effects, only one tablet per day and feeling well informed about CML by the doctor. More than 2 years since diagnosis were significantly lowering the chance as was the use of reminding tools. Living arrangements, multiple medication and personal payment obligations increased the probability to be at least in the medium adherent group. This is the most comprehensive study conducted to date to gain knowledge about factors causing non-adherence in CML. Better information on the disease, medication and management of side effects, supported by haematologists, is key to improve adherence.

Entities:  

Keywords:  Adherence patient motivations; Behavioural patterns of adherence; CML treatment adherence; Chronic myeloid leukaemia; Driving factors of nonadherence; Factors causing nonadherence; Haematology; Molecular response; Morisky Medication Adherence scale; Optimal adherence; Patient advocacy; Patient-driven survey; Tyrosine kinase inhibitors

Mesh:

Substances:

Year:  2017        PMID: 28289895     DOI: 10.1007/s00432-017-2372-z

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  27 in total

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Journal:  J Clin Epidemiol       Date:  2001-12       Impact factor: 6.437

2.  Using binary logistic regression models for ordinal data with non-proportional odds.

Authors:  R Bender; U Grouven
Journal:  J Clin Epidemiol       Date:  1998-10       Impact factor: 6.437

Review 3.  Measurement of adherence to BCR-ABL inhibitor therapy in chronic myeloid leukemia: current situation and future challenges.

Authors:  Lucien Noens; Marja Hensen; Izabela Kucmin-Bemelmans; Christina Lofgren; Isabelle Gilloteau; Bernard Vrijens
Journal:  Haematologica       Date:  2014-03       Impact factor: 9.941

4.  The EUTOS population-based registry: incidence and clinical characteristics of 2904 CML patients in 20 European Countries.

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Journal:  Leukemia       Date:  2015-03-18       Impact factor: 11.528

Review 5.  A systematic review of barriers to medication adherence in the elderly: looking beyond cost and regimen complexity.

Authors:  Walid F Gellad; Jerry L Grenard; Zachary A Marcum
Journal:  Am J Geriatr Pharmacother       Date:  2011-02

6.  Treatment interruptions and non-adherence with imatinib and associated healthcare costs: a retrospective analysis among managed care patients with chronic myelogenous leukaemia.

Authors:  Theodore Darkow; Henry J Henk; Simu K Thomas; Weiwei Feng; Jean-Francois Baladi; George A Goldberg; Alan Hatfield; Jorge Cortes
Journal:  Pharmacoeconomics       Date:  2007       Impact factor: 4.981

Review 7.  Older people and adherence with medication: a review of the literature.

Authors:  Maggi Banning
Journal:  Int J Nurs Stud       Date:  2008-10       Impact factor: 5.837

8.  Tyrosine kinase inhibitor usage, treatment outcome, and prognostic scores in CML: report from the population-based Swedish CML registry.

Authors:  Martin Höglund; Fredrik Sandin; Karin Hellström; Mats Björeman; Magnus Björkholm; Mats Brune; Arta Dreimane; Marja Ekblom; Sören Lehmann; Per Ljungman; Claes Malm; Berit Markevärn; Kristina Myhr-Eriksson; Lotta Ohm; Ulla Olsson-Strömberg; Anders Själander; Hans Wadenvik; Bengt Simonsson; Leif Stenke; Johan Richter
Journal:  Blood       Date:  2013-07-10       Impact factor: 22.113

9.  Chronic myeloid leukemia patients' adherence to peroral tyrosine kinase inhibitors compared with adherence as estimated by their physicians.

Authors:  Meri Kekäle; Kimmo Talvensaari; Perttu Koskenvesa; Kimmo Porkka; Marja Airaksinen
Journal:  Patient Prefer Adherence       Date:  2014-11-24       Impact factor: 2.711

10.  Chronic myeloid leukemia (CML): association of treatment satisfaction, negative medication experience and treatment restrictions with health outcomes, from the patient's perspective.

Authors:  Ishan Hirji; Shaloo Gupta; Amir Goren; Diana R Chirovsky; Alyson B Moadel; Eduardo Olavarria; Timothy W Victor; Catherine C Davis
Journal:  Health Qual Life Outcomes       Date:  2013-10-08       Impact factor: 3.186

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  20 in total

Review 1.  Maximizing the effectiveness of oral therapies in lymphoid cancers: research gaps and unmet needs.

Authors:  Alix Y L Zackon; Amy A Ayers; Katherine A Yeager; Mary L Somma; Jonathan W Friedberg; Christopher R Flowers; Loretta J Nastoupil
Journal:  Leuk Lymphoma       Date:  2019-06-04

2.  Molecular response to imatinib in patients with chronic myeloid leukemia in Tanzania.

Authors:  Ahlam Nasser; Ally Hussein; Clara Chamba; Mbonea Yonazi; Rosemary Mushi; Anna Schuh; Lucio Luzzatto
Journal:  Blood Adv       Date:  2021-03-09

3.  Assessment of Adherence to Imatinib and Health-Related Quality of Life Among Patients with Gastrointestinal Stromal Tumor: A Cross-Sectional Study in an Oncology Clinic in Malaysia.

Authors:  Paik Ling Chuah; Nurnina Fareeha Jamal; Chai Jin Siew; Ros Suzanna Ahmad Bustamam; Vaishnavi Jeyasingam; Khei Choong Khong
Journal:  Patient Prefer Adherence       Date:  2021-09-22       Impact factor: 2.711

4.  Population Pharmacokinetics of Asciminib in Tyrosine Kinase Inhibitor-Treated Patients with Philadelphia Chromosome-Positive Chronic Myeloid Leukemia in Chronic and Acute Phases.

Authors:  Ying Fei Li; Francois Pierre Combes; Matthias Hoch; Sebastien Lorenzo; Sherwin K B Sy; Yu-Yun Ho
Journal:  Clin Pharmacokinet       Date:  2022-06-28       Impact factor: 5.577

Review 5.  Defining Higher-Risk Chronic Myeloid Leukemia: Risk Scores, Genomic Landscape, and Prognostication.

Authors:  Nur Hezrin Shahrin; Carol Wadham; Susan Branford
Journal:  Curr Hematol Malig Rep       Date:  2022-08-06       Impact factor: 4.213

Review 6.  A clinician perspective on the treatment of chronic myeloid leukemia in the chronic phase.

Authors:  Valentin García-Gutiérrez; Massimo Breccia; Elias Jabbour; Michael Mauro; Jorge E Cortes
Journal:  J Hematol Oncol       Date:  2022-07-11       Impact factor: 23.168

Review 7.  Beyond maximum grade: modernising the assessment and reporting of adverse events in haematological malignancies.

Authors:  Gita Thanarajasingam; Lori M Minasian; Frederic Baron; Franco Cavalli; R Angelo De Claro; Amylou C Dueck; Tarec C El-Galaly; Neil Everest; Jan Geissler; Christian Gisselbrecht; John Gribben; Mary Horowitz; S Percy Ivy; Caron A Jacobson; Armand Keating; Paul G Kluetz; Aviva Krauss; Yok Lam Kwong; Richard F Little; Francois-Xavier Mahon; Matthew J Matasar; María-Victoria Mateos; Kristen McCullough; Robert S Miller; Mohamad Mohty; Philippe Moreau; Lindsay M Morton; Sumimasa Nagai; Simon Rule; Jeff Sloan; Pieter Sonneveld; Carrie A Thompson; Kyriaki Tzogani; Flora E van Leeuwen; Galina Velikova; Diego Villa; John R Wingard; Sophie Wintrich; John F Seymour; Thomas M Habermann
Journal:  Lancet Haematol       Date:  2018-06-18       Impact factor: 18.959

8.  Impact of socio-demographic co-variates on prognosis, tyrosine kinase-inhibitor use and outcomes in persons with newly-diagnosed chronic myeloid leukaemia.

Authors:  Lu Yu; Huifang Wang; Robert Peter Gale; Yazhen Qin; Yueyun Lai; Hongxia Shi; Xuelin Dou; Xiaojun Huang; Qian Jiang
Journal:  J Cancer Res Clin Oncol       Date:  2021-04-09       Impact factor: 4.553

9.  Prevalence and associated factors of medication non-adherence in hematological-oncological patients in their home situation.

Authors:  Linda Bouwman; Corien M Eeltink; Otto Visser; Jeroen J W M Janssen; Jolanda M Maaskant
Journal:  BMC Cancer       Date:  2017-11-09       Impact factor: 4.430

10.  Mobile Health Intervention to Increase Oral Cancer Therapy Adherence in Patients With Chronic Myeloid Leukemia (The REMIND System): Clinical Feasibility and Acceptability Assessment.

Authors:  Amanda Pereira-Salgado; Jennifer A Westwood; Lahiru Russell; Anna Ugalde; Bronwen Ortlepp; John F Seymour; Phyllis Butow; Lawrence Cavedon; Kevin Ong; Sanchia Aranda; Sibilah Breen; Suzanne Kirsa; Andrew Dunlevie; Penelope Schofield
Journal:  JMIR Mhealth Uhealth       Date:  2017-12-06       Impact factor: 4.773

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