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Distinct Profiles on Subjective and Objective Adherence Measures in Patients Prescribed Antidepressants

Distinct Profiles on Subjective and Objective Adherence Measures in Patients Prescribed Antidepressants


Title: Distinct Profiles on Subjective and Objective Adherence Measures in Patients Prescribed Antidepressants
Author: Wouters, Hans
Rhebergen, Didi
Vervloet, Marcia
Egberts, Antoine
Taxis, Katja
van Dijk, Liset
Gardarsdottir, Helga   orcid.org/0000-0001-5623-9684
Date: 2019-04-03
Language: English
Scope: 647-654
University/Institute: Háskóli Íslands
University of Iceland
School: Heilbrigðisvísindasvið (HÍ)
School of Health Sciences (UI)
Department: Lyfjafræðideild (HÍ)
Faculty of Pharmaceutical Sciences (UI)
Series: Drugs;79(6)
ISSN: 0012-6667
1179-1950 (eISSN)
DOI: 10.1007/s40265-019-01107-y
Subject: Objective Adherence Measures; Antidepressants; Sjúklingar; Geðlyf; Þunglyndislyf
URI: https://hdl.handle.net/20.500.11815/2101

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Citation:

Wouters, H., Rhebergen, D., Vervloet, M. et al. Distinct Profiles on Subjective and Objective Adherence Measures in Patients Prescribed Antidepressants. Drugs 79, 647–654 (2019). https://doi.org/10.1007/s40265-019-01107-y

Abstract:

Objective: A recurrent observation is that associations between self-reported and objective medication adherence measures are often weak to moderate. Our aim was therefore to identify patients with different profiles on self-reported and objective adherence measures. Study Design and Setting: This was an observational study of 221 community pharmacy patients who were dispensed antidepressants. Adherence profiles were estimated with Latent Profile Analysis (LPA) using data on self-reported adherence (Medication Adherence Rating Scale) complemented with data on medication beliefs (perceived necessity and concerns measured with the Beliefs about Medicines Questionnaire) and data from objective adherence measures (electronic monitoring of medication taking and the Medication Possession Ratio calculated from pharmacy dispensing data). Results: ‘Goodness-of-fit’ statistics indicated the presence of three classes: “concordantly high adherent” (83%, high adherence on all measures), “concordantly suboptimal adherent” (11%, low adherence on all measures), and “discordant” (6%, high self-reported adherence but lower adherence on objective measures). Conclusion: Most patients had concordant outcomes on self-reported and objective measures of adherence. A small discordant class had high self-reported but low objective adherence. LPA will enable sensitivity analyses in future studies, for example excluding patients from the discordant class.

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Open Access This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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