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Factors associated with physicians’ prescriptions for rheumatoid arthritis drugs not filled by patients
BACKGROUND: This study estimated the extent and predictors of primary nonadherence (i.e., prescriptions made by physicians but not initiated by patients) to methotrexate and to biologics or tofacitinib in rheumatoid arthritis (RA) patients who were newly prescribed these medications. METHODS: Using...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932861/ https://www.ncbi.nlm.nih.gov/pubmed/29720237 http://dx.doi.org/10.1186/s13075-018-1580-5 |
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author | Kan, Hong J. Dyagilev, Kirill Schulam, Peter Saria, Suchi Kharrazi, Hadi Bodycombe, David Molta, Charles T. Curtis, Jeffrey R. |
author_facet | Kan, Hong J. Dyagilev, Kirill Schulam, Peter Saria, Suchi Kharrazi, Hadi Bodycombe, David Molta, Charles T. Curtis, Jeffrey R. |
author_sort | Kan, Hong J. |
collection | PubMed |
description | BACKGROUND: This study estimated the extent and predictors of primary nonadherence (i.e., prescriptions made by physicians but not initiated by patients) to methotrexate and to biologics or tofacitinib in rheumatoid arthritis (RA) patients who were newly prescribed these medications. METHODS: Using administrative claims linked with electronic health records (EHRs) from multiple healthcare provider organizations in the USA, RA patients who received a new prescription for methotrexate or biologics/tofacitinib were identified from EHRs. Claims data were used to ascertain filling or administration status. A logistic regression model for predicting primary nonadherence was developed and tested in training and test samples. Predictors were selected based on clinical judgment and LASSO logistic regression. RESULTS: A total of 36.8% of patients newly prescribed methotrexate failed to initiate methotrexate within 2 months; 40.6% of patients newly prescribed biologics/tofacitinib failed to initiate within 3 months. Factors associated with methotrexate primary nonadherence included age, race, region, body mass index, count of active drug ingredients, and certain previously diagnosed and treated conditions at baseline. Factors associated with biologics/tofacitinib primary nonadherence included age, insurance, and certain previously treated conditions at baseline. The area under the receiver operating characteristic curve of the logistic regression model estimated in the training sample and applied to the independent test sample was 0.86 and 0.78 for predicting primary nonadherence to methotrexate and to biologics/tofacitinib, respectively. CONCLUSIONS: This study confirmed that failure to initiate new prescriptions for methotrexate and biologics/tofacitinib was common in RA patients. It is feasible to predict patients at high risk of primary nonadherence to methotrexate and to biologics/tofacitinib and to target such patients for early interventions to promote adherence. |
format | Online Article Text |
id | pubmed-5932861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59328612018-05-09 Factors associated with physicians’ prescriptions for rheumatoid arthritis drugs not filled by patients Kan, Hong J. Dyagilev, Kirill Schulam, Peter Saria, Suchi Kharrazi, Hadi Bodycombe, David Molta, Charles T. Curtis, Jeffrey R. Arthritis Res Ther Research Article BACKGROUND: This study estimated the extent and predictors of primary nonadherence (i.e., prescriptions made by physicians but not initiated by patients) to methotrexate and to biologics or tofacitinib in rheumatoid arthritis (RA) patients who were newly prescribed these medications. METHODS: Using administrative claims linked with electronic health records (EHRs) from multiple healthcare provider organizations in the USA, RA patients who received a new prescription for methotrexate or biologics/tofacitinib were identified from EHRs. Claims data were used to ascertain filling or administration status. A logistic regression model for predicting primary nonadherence was developed and tested in training and test samples. Predictors were selected based on clinical judgment and LASSO logistic regression. RESULTS: A total of 36.8% of patients newly prescribed methotrexate failed to initiate methotrexate within 2 months; 40.6% of patients newly prescribed biologics/tofacitinib failed to initiate within 3 months. Factors associated with methotrexate primary nonadherence included age, race, region, body mass index, count of active drug ingredients, and certain previously diagnosed and treated conditions at baseline. Factors associated with biologics/tofacitinib primary nonadherence included age, insurance, and certain previously treated conditions at baseline. The area under the receiver operating characteristic curve of the logistic regression model estimated in the training sample and applied to the independent test sample was 0.86 and 0.78 for predicting primary nonadherence to methotrexate and to biologics/tofacitinib, respectively. CONCLUSIONS: This study confirmed that failure to initiate new prescriptions for methotrexate and biologics/tofacitinib was common in RA patients. It is feasible to predict patients at high risk of primary nonadherence to methotrexate and to biologics/tofacitinib and to target such patients for early interventions to promote adherence. BioMed Central 2018-05-02 2018 /pmc/articles/PMC5932861/ /pubmed/29720237 http://dx.doi.org/10.1186/s13075-018-1580-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted 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. 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. |
spellingShingle | Research Article Kan, Hong J. Dyagilev, Kirill Schulam, Peter Saria, Suchi Kharrazi, Hadi Bodycombe, David Molta, Charles T. Curtis, Jeffrey R. Factors associated with physicians’ prescriptions for rheumatoid arthritis drugs not filled by patients |
title | Factors associated with physicians’ prescriptions for rheumatoid arthritis drugs not filled by patients |
title_full | Factors associated with physicians’ prescriptions for rheumatoid arthritis drugs not filled by patients |
title_fullStr | Factors associated with physicians’ prescriptions for rheumatoid arthritis drugs not filled by patients |
title_full_unstemmed | Factors associated with physicians’ prescriptions for rheumatoid arthritis drugs not filled by patients |
title_short | Factors associated with physicians’ prescriptions for rheumatoid arthritis drugs not filled by patients |
title_sort | factors associated with physicians’ prescriptions for rheumatoid arthritis drugs not filled by patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932861/ https://www.ncbi.nlm.nih.gov/pubmed/29720237 http://dx.doi.org/10.1186/s13075-018-1580-5 |
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