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

Karen Strike

Karen Strike

School of Rehabilitation Science, Faculty of Health Science, McMaster UniversityHamilton, Canada
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Strike, Karen
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Anthony Chan

Anthony Chan

Department of Pediatrics, McMaster UniversityHamilton, Canada
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Chan, Anthony
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Alfonso Iorio

Alfonso Iorio

Department of Health Research Methods, Evidence, and Impact (HEI), McMaster UniversityHamilton, Canada
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Iorio, Alfonso
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Monica R. Maly

Monica R. Maly

School of Rehabilitation Science, Faculty of Health Science, McMaster University, Department of Kenesiology, Faculty of Applied Health Sciences, University of WaterlooHamilton, Canada
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Maly, Monica R.
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Paul W. Stratford

Paul W. Stratford

School of Rehabilitation Science, Faculty of Health Science, McMaster UniversityHamilton, Canada
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Stratford, Paul W.
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Patricia Solomon

Patricia Solomon

School of Rehabilitation Science, Faculty of Health Science, McMaster UniversityHamilton, Canada
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Solomon, Patricia
  
25 juil. 2020
Predictors of treatment adherence in patients with chronic disease using the Multidimensional Adherence Model: unique considerations for patients with haemophilia's Cover Image
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Catégorie d'article: Clinical Research
Publié en ligne: 25 juil. 2020
Pages: 92 - 101
DOI: https://doi.org/10.17225/jhp00152
Mots clés
© 2020 Karen Strike et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Adherence to prophylaxis among people with haemophilia is known to be variable. A retrospective study of patients treated at an urban haemophilia treatment centre in Canada suggests there may be predictors of adherence beyond the WHO's inclusive Multidimensional Adherence Model.© Shutterstock
Adherence to prophylaxis among people with haemophilia is known to be variable. A retrospective study of patients treated at an urban haemophilia treatment centre in Canada suggests there may be predictors of adherence beyond the WHO's inclusive Multidimensional Adherence Model.© Shutterstock

Figure 1

World Health Organization Multidimensional Adherence Model[15]
World Health Organization Multidimensional Adherence Model[15]

Characteristics of outcome and explanatory variables

VARIABLENMEAN/SDMIN/MAX (%)
Objective measure of adherence†8793.55/24.750/154%
NMEDIAN1ST & 3RD QUARTILES
Subjective measure of adherence‡878151, 98
ABR§8720, 4
Age872110, 36
Distance from HTC††875126, 71
HJHS‡‡7610.51, 23.5
CATEGORIESCOUNTSPERCENTAGE OF SAMPLE
Infusion frequency§§189%
22023%
32124%
43034%
522%
611%
756%

Correlation matrixCorrelation co-efficient of the explanatory variables with both measures of adherence

SUBJECTIVEOBJECTIVEHJHSAGEFREQUENCYABRDISTANCE
Subjective‡1.0000
Objective†0.45681.0000
HJHS‡‡−0.02280.06511.0000
Age0.01280.03750.85731.0000
Frequency§§0.0402−0.1959−0.0250−0.03511.0000
ABR§−0.08610.03100.34380.2597−0.02361.0000
Distance††0.0977−0.03070.04420.0690−0.03460.20381.0000

Full model stepwise regression for the objective measure of adherence

VARIABLEβ-COEFFICIENTSTD ERRORP-VALUE95%CI
Frequency−672.394324.5060.041−1317.599, −27.189
_cons†11536.881147.5660.0009255.207, 13818.54
Langue:
Anglais
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1 fois par an
Sujets de la revue:
Médecine, Sciences médicales de base, Sciences médicales de base, autres, Médecine clinique, Médecine clinique, autres, Pharmacie, Pharmacologie
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