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Predictors of treatment adherence in patients with chronic disease using the Multidimensional Adherence Model: unique considerations for patients with haemophilia Cover

Predictors of treatment adherence in patients with chronic disease using the Multidimensional Adherence Model: unique considerations for patients with haemophilia

The Journal of Haemophilia Practice
Volume 7 (2020): Issue 1 (January 2020)
By: Karen Strike,  Anthony Chan,  Alfonso Iorio,  Monica R. Maly,  Paul W. Stratford and  Patricia Solomon  
Open Access
|Jul 2020

Authors

Karen Strike

christkl@mcmaster.ca

School of Rehabilitation Science, Faculty of Health Science, McMaster University, Hamilton, Canada

Anthony Chan

Department of Pediatrics, McMaster University, Hamilton, Canada

Alfonso Iorio

Department of Health Research Methods, Evidence, and Impact (HEI), McMaster University, Hamilton, Canada

Monica R. Maly

School of Rehabilitation Science, Faculty of Health Science, McMaster University, Department of Kenesiology, Faculty of Applied Health Sciences, University of Waterloo, Hamilton, Canada

Paul W. Stratford

School of Rehabilitation Science, Faculty of Health Science, McMaster University, Hamilton, Canada

Patricia Solomon

School of Rehabilitation Science, Faculty of Health Science, McMaster University, Hamilton, Canada
DOI: https://doi.org/10.17225/jhp00152 | Journal eISSN: 2055-3390
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Language: English
Page range: 92 - 101
Published on: Jul 25, 2020
Published by: Haemnet Ltd
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Treatment adherence and compliance,
chronic disease,
haemophilia A,
haemophilia B,
model, theoretical,
prophylaxis
Related subjects:
Medicine,
Basic medical science,
Basic medical science, other,
Clinical medicine,
Clinical medicine, other,
Pharmacy,
Pharmacology

© 2020 Karen Strike, Anthony Chan, Alfonso Iorio, Monica R. Maly, Paul W. Stratford, Patricia Solomon, published by Haemnet Ltd
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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