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Distinct Profiles on Subjective and Objective Adherence Measures in Patients Prescribed Antidepressants
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 w...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483946/ https://www.ncbi.nlm.nih.gov/pubmed/30941607 http://dx.doi.org/10.1007/s40265-019-01107-y |
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author | Wouters, Hans Rhebergen, Didi Vervloet, Marcia Egberts, Antoine Taxis, Katja van Dijk, Liset Gardarsdottir, Helga |
author_facet | Wouters, Hans Rhebergen, Didi Vervloet, Marcia Egberts, Antoine Taxis, Katja van Dijk, Liset Gardarsdottir, Helga |
author_sort | Wouters, Hans |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6483946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-64839462019-05-15 Distinct Profiles on Subjective and Objective Adherence Measures in Patients Prescribed Antidepressants Wouters, Hans Rhebergen, Didi Vervloet, Marcia Egberts, Antoine Taxis, Katja van Dijk, Liset Gardarsdottir, Helga Drugs Original Research Article 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. Springer International Publishing 2019-04-03 2019 /pmc/articles/PMC6483946/ /pubmed/30941607 http://dx.doi.org/10.1007/s40265-019-01107-y Text en © The Author(s) 2019 Open AccessThis 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. |
spellingShingle | Original Research Article Wouters, Hans Rhebergen, Didi Vervloet, Marcia Egberts, Antoine Taxis, Katja van Dijk, Liset Gardarsdottir, Helga 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 |
title_full | Distinct Profiles on Subjective and Objective Adherence Measures in Patients Prescribed Antidepressants |
title_fullStr | Distinct Profiles on Subjective and Objective Adherence Measures in Patients Prescribed Antidepressants |
title_full_unstemmed | Distinct Profiles on Subjective and Objective Adherence Measures in Patients Prescribed Antidepressants |
title_short | Distinct Profiles on Subjective and Objective Adherence Measures in Patients Prescribed Antidepressants |
title_sort | distinct profiles on subjective and objective adherence measures in patients prescribed antidepressants |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483946/ https://www.ncbi.nlm.nih.gov/pubmed/30941607 http://dx.doi.org/10.1007/s40265-019-01107-y |
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