Literature DB >> 27306683

Predictors of medication adherence: fact or artifact.

Jacqueline Dunbar-Jacob1, Jeffrey M Rohay2.   

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.

Entities:  

Keywords:  Adherence measurement method; Electronic monitoring; Medication adherence; Predictors of adherence; Self-report assessment

Mesh:

Year:  2016        PMID: 27306683     DOI: 10.1007/s10865-016-9752-8

Source DB:  PubMed          Journal:  J Behav Med        ISSN: 0160-7715


  59 in total

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5.  Reliability of the CES-D Scale in different ethnic contexts.

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Review 7.  Cognition and depression: current status and future directions.

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Journal:  Annu Rev Clin Psychol       Date:  2010       Impact factor: 18.561

8.  Predictors of adherence to diabetes medications: the role of disease and medication beliefs.

Authors:  Devin M Mann; Diego Ponieman; Howard Leventhal; Ethan A Halm
Journal:  J Behav Med       Date:  2009-01-30

9.  Medication adherence and associated hemoglobin A1c in type 2 diabetes.

Authors:  Kimberley Krapek; Kathleen King; Susan S Warren; Karen G George; Dorothy A Caputo; Karen Mihelich; Elizabeth M Holst; Michael B Nichol; Sheng G Shi; Kevin B Livengood; Steve Walden; Teresa J Lubowski
Journal:  Ann Pharmacother       Date:  2004-07-06       Impact factor: 3.154

10.  Compliance with inhaled medications: the relationship between diary and electronic monitor.

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Journal:  Ann Behav Med       Date:  1998
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  7 in total

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3.  A Comparison of Adherence and CD4 Cell Count with Respect to Virologic Failure Among HIV-Infected Adults Under Combination Antiretroviral Therapy (cART) at Felege Hiwot Teaching and Specialized Hospital, Bahir Dar, Ethiopia.

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4.  Determinants of community pharmacists' quality of care: a population-based cohort study using pharmacy administrative claims data.

Authors:  Nancy Winslade; Robyn Tamblyn
Journal:  BMJ Open       Date:  2017-09-21       Impact factor: 2.692

5.  The association between self-reported varenicline adherence and varenicline blood levels in a sample of cancer patients receiving treatment for tobacco dependence.

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6.  Examining Factors Associated With Nonadherence And Identifying Providers Caring For Nonadherent Subgroups.

Authors:  Deborah A Taira; Brendan K Seto; James W Davis; Todd B Seto; Doug Landsittel; Wesley K Sumida
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7.  Electronic monitoring of adherence to once-daily and twice-daily direct oral anticoagulants in patients with atrial fibrillation: Baseline data from the SMAAP-AF trial.

Authors:  Tsuyoshi Shiga; Toshimi Kimura; Noritoshi Fukushima; Yuji Yoshiyama; Kazunori Iwade; Fumiaki Mori; Yoichi Ajiro; Shoji Haruta; Yuichiro Yamada; Emi Sawada; Nobuhisa Hagiwara
Journal:  J Arrhythm       Date:  2021-03-30
  7 in total

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