Abstract
Numerous studies have examined socio-demographic, psychosocial, and other factors as potential contributors to poor adherence. Variability exists in the strength and consistency of findings. We speculated that the method of measuring adherence might be a factor in the variability in identification of predictor variables. We examined the identification of predictors of adherence by method of measurement in two randomized, controlled trials of adherence interventions. Both studies used the Aardex Medication Event Monitor and the Morisky Self-Report Scale. Twenty-one days of baseline data from 698 subjects were examined in relation to measures of depression, functional status, perceived therapeutic efficacy, number of co-morbidities, and socio-demographic indices. Analysis included Spearman rho, Pearson r, and multiple logistic regression. Differences in the identification of predictors between adherence measurement methods were identified. These data support the hypothesis that different measurement methods yield different predictors of adherence.
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Jacqueline Dunbar-Jacob and Jeffrey M. Rohay declare that they do not have any conflict of interest.
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All procedures followed were in accordance with ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000. Informed consent was obtained from all patients for being included in the study.
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Dunbar-Jacob, J., Rohay, J.M. Predictors of medication adherence: fact or artifact. J Behav Med 39, 957–968 (2016). https://doi.org/10.1007/s10865-016-9752-8
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DOI: https://doi.org/10.1007/s10865-016-9752-8