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Predictive validity of the 5-item Compliance Questionnaire for Rheumatology (CQR5) in detecting poor adherence of patients with rheumatoid arthritis to biological medication

BACKGROUND: Adherence is a key factor for therapeutic success in patients with rheumatoid arthritis (RA). The aim of this study was to determine whether results from the 5-item Compliance Questionnaire for Rheumatology (CQR5) can predict future poor adherence to biological disease-modifying anti-rhe...

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Autores principales: Salaffi, Fausto, Di Carlo, Marco, Carotti, Marina, Ceccarelli, Luca, Farah, Sonia, Marotto, Daniela, Giorgi, Valeria, Sarzi-Puttini, Piercarlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526219/
https://www.ncbi.nlm.nih.gov/pubmed/32993788
http://dx.doi.org/10.1186/s13075-020-02319-4
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author Salaffi, Fausto
Di Carlo, Marco
Carotti, Marina
Ceccarelli, Luca
Farah, Sonia
Marotto, Daniela
Giorgi, Valeria
Sarzi-Puttini, Piercarlo
author_facet Salaffi, Fausto
Di Carlo, Marco
Carotti, Marina
Ceccarelli, Luca
Farah, Sonia
Marotto, Daniela
Giorgi, Valeria
Sarzi-Puttini, Piercarlo
author_sort Salaffi, Fausto
collection PubMed
description BACKGROUND: Adherence is a key factor for therapeutic success in patients with rheumatoid arthritis (RA). The aim of this study was to determine whether results from the 5-item Compliance Questionnaire for Rheumatology (CQR5) can predict future poor adherence to biological disease-modifying anti-rheumatic drugs (bDMARDs) in patients with RA, using medication possession ratio (MPR) as the gold standard comparator. METHODS: RA patients starting a bDMARD were prospectively followed for 12 months. At baseline, CQR5 was collected in relation to the prescribed bDMARD. Patients were dichotomised into good adherers and poor adherers, categories that were then used as the variable in a predictive function analysis of the CQR5 in order to determine the accuracy of the classification at the end of the study period in comparison with the MPR. The sensitivity, specificity, and likelihood ratio of detecting poor adherers were also determined because this is the clinically important purpose of the questionnaire. Satisfactory adherence was defined as > 80% compliance with the prescribed dose regimen. RESULTS: Of the 210 RA patients enrolled (147 women and 63 men; mean age 58.6 ± 12.8 years; mean disease duration 7.4 ± 2.5 years), at the end of the 12-month follow-up, 152 patients (72.4%) were good adherers and 58 (27.6%) were poor adherers according to MPR. Predictive analyses showed that the sensitivity and specificity of the CQR5 in detecting poor adherence were respectively 89.9% (95% CI 84.07–94.10%) and 80.8% (95% CI 67.46–90.37%). The accuracy of the CQR5 was 83.04% (95% CI 77.27–87.85%), the positive likelihood ratio (i.e. detecting ≤ 80% adherence) 4.67 (95% CI 2.58–8.18), and the area under curve 0.85 (95% CI 0.79–0.89). CONCLUSION: Higher baseline CQR5 scores significantly predict the treatment adherence of RA patients. This suggests that this instrument could be used for screening purposes in order to identify patients who are poorly adherent to bDMARDs.
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spelling pubmed-75262192020-09-30 Predictive validity of the 5-item Compliance Questionnaire for Rheumatology (CQR5) in detecting poor adherence of patients with rheumatoid arthritis to biological medication Salaffi, Fausto Di Carlo, Marco Carotti, Marina Ceccarelli, Luca Farah, Sonia Marotto, Daniela Giorgi, Valeria Sarzi-Puttini, Piercarlo Arthritis Res Ther Research Article BACKGROUND: Adherence is a key factor for therapeutic success in patients with rheumatoid arthritis (RA). The aim of this study was to determine whether results from the 5-item Compliance Questionnaire for Rheumatology (CQR5) can predict future poor adherence to biological disease-modifying anti-rheumatic drugs (bDMARDs) in patients with RA, using medication possession ratio (MPR) as the gold standard comparator. METHODS: RA patients starting a bDMARD were prospectively followed for 12 months. At baseline, CQR5 was collected in relation to the prescribed bDMARD. Patients were dichotomised into good adherers and poor adherers, categories that were then used as the variable in a predictive function analysis of the CQR5 in order to determine the accuracy of the classification at the end of the study period in comparison with the MPR. The sensitivity, specificity, and likelihood ratio of detecting poor adherers were also determined because this is the clinically important purpose of the questionnaire. Satisfactory adherence was defined as > 80% compliance with the prescribed dose regimen. RESULTS: Of the 210 RA patients enrolled (147 women and 63 men; mean age 58.6 ± 12.8 years; mean disease duration 7.4 ± 2.5 years), at the end of the 12-month follow-up, 152 patients (72.4%) were good adherers and 58 (27.6%) were poor adherers according to MPR. Predictive analyses showed that the sensitivity and specificity of the CQR5 in detecting poor adherence were respectively 89.9% (95% CI 84.07–94.10%) and 80.8% (95% CI 67.46–90.37%). The accuracy of the CQR5 was 83.04% (95% CI 77.27–87.85%), the positive likelihood ratio (i.e. detecting ≤ 80% adherence) 4.67 (95% CI 2.58–8.18), and the area under curve 0.85 (95% CI 0.79–0.89). CONCLUSION: Higher baseline CQR5 scores significantly predict the treatment adherence of RA patients. This suggests that this instrument could be used for screening purposes in order to identify patients who are poorly adherent to bDMARDs. BioMed Central 2020-09-29 2020 /pmc/articles/PMC7526219/ /pubmed/32993788 http://dx.doi.org/10.1186/s13075-020-02319-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Salaffi, Fausto
Di Carlo, Marco
Carotti, Marina
Ceccarelli, Luca
Farah, Sonia
Marotto, Daniela
Giorgi, Valeria
Sarzi-Puttini, Piercarlo
Predictive validity of the 5-item Compliance Questionnaire for Rheumatology (CQR5) in detecting poor adherence of patients with rheumatoid arthritis to biological medication
title Predictive validity of the 5-item Compliance Questionnaire for Rheumatology (CQR5) in detecting poor adherence of patients with rheumatoid arthritis to biological medication
title_full Predictive validity of the 5-item Compliance Questionnaire for Rheumatology (CQR5) in detecting poor adherence of patients with rheumatoid arthritis to biological medication
title_fullStr Predictive validity of the 5-item Compliance Questionnaire for Rheumatology (CQR5) in detecting poor adherence of patients with rheumatoid arthritis to biological medication
title_full_unstemmed Predictive validity of the 5-item Compliance Questionnaire for Rheumatology (CQR5) in detecting poor adherence of patients with rheumatoid arthritis to biological medication
title_short Predictive validity of the 5-item Compliance Questionnaire for Rheumatology (CQR5) in detecting poor adherence of patients with rheumatoid arthritis to biological medication
title_sort predictive validity of the 5-item compliance questionnaire for rheumatology (cqr5) in detecting poor adherence of patients with rheumatoid arthritis to biological medication
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526219/
https://www.ncbi.nlm.nih.gov/pubmed/32993788
http://dx.doi.org/10.1186/s13075-020-02319-4
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