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Identifying Poor Adherence in Outpatients with Bipolar Disorder: A Comparison of Different Measures
Objective Unlike schizophrenia, comparisons of different methods of estimating inadequate adherence in bipolar disorder (BD) are scarce. This study compared four methods of identifying inadequate adherence among outpatients with BD. Materials and Methods Two self-reports, the Morisky Medication Ad...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Medical and Scientific Publishers Pvt. Ltd.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803505/ https://www.ncbi.nlm.nih.gov/pubmed/35110916 http://dx.doi.org/10.1055/s-0041-1736155 |
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author | Chauhan, Nidhi Chakrabarti, Subho Grover, Sandeep |
author_facet | Chauhan, Nidhi Chakrabarti, Subho Grover, Sandeep |
author_sort | Chauhan, Nidhi |
collection | PubMed |
description | Objective Unlike schizophrenia, comparisons of different methods of estimating inadequate adherence in bipolar disorder (BD) are scarce. This study compared four methods of identifying inadequate adherence among outpatients with BD. Materials and Methods Two self-reports, the Morisky Medication Adherence Questionnaire (MAQ) and the Drug Attitude Inventory (DAI-10), clinician ratings employing the Compliance Rating Scale (CRS), mood-stabilizer levels, and clinic-based pill counts were compared at intake in 106 outpatients with BD and after 6 months of follow-up ( n = 75). Statistical Analysis Rates of nonadherence were determined for each method. The ability to detect inadequate adherence was based on sensitivity, specificity, positive and negative predictive values (PPV and NPV), and positive and negative likelihood ratios (LR positive and LR negative). Correlation coefficients and Cohen's kappa values were used to determine the agreement between measures. Correlation coefficients were also used to evaluate the determinants of inadequate adherence Results The MAQ and the DAI-10 (cut-off score of two) yielded higher rates of nonadherence (35–47%) than the other methods. They were better at detecting adherence (specificity, 34–42%; PPV, 40–44%; and LR negative, 0.70–0.96) than other measures and had moderate ability to identify nonadherence compared with them (sensitivity, 63–73%; NPV, 54–70%; and LR positive, 1.02–1.16). They were associated with several established predictors of nonadherence. The MAQ and DAI-10 scores and the MAQ and CRS scores were modestly correlated. Multivariate analysis showed that 20% of the variance in the DAI-10 scores was explained by the MAQ scores. Despite their low yield, serum levels had a high sensitivity (88%) and higher accuracy (55%) in identifying inadequate adherence. CRS ratings and pill counts had high sensitivity but low specificity to detect inadequate adherence. Conclusion Self-reports appeared to be the most efficient method of ascertaining inadequate adherence among outpatients with BD. However, since none of the measures were adequate by themselves, a combination of different measures is more likely to maximize the chances of identifying inadequate adherence among these patients. |
format | Online Article Text |
id | pubmed-8803505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Thieme Medical and Scientific Publishers Pvt. Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88035052022-02-01 Identifying Poor Adherence in Outpatients with Bipolar Disorder: A Comparison of Different Measures Chauhan, Nidhi Chakrabarti, Subho Grover, Sandeep J Neurosci Rural Pract Objective Unlike schizophrenia, comparisons of different methods of estimating inadequate adherence in bipolar disorder (BD) are scarce. This study compared four methods of identifying inadequate adherence among outpatients with BD. Materials and Methods Two self-reports, the Morisky Medication Adherence Questionnaire (MAQ) and the Drug Attitude Inventory (DAI-10), clinician ratings employing the Compliance Rating Scale (CRS), mood-stabilizer levels, and clinic-based pill counts were compared at intake in 106 outpatients with BD and after 6 months of follow-up ( n = 75). Statistical Analysis Rates of nonadherence were determined for each method. The ability to detect inadequate adherence was based on sensitivity, specificity, positive and negative predictive values (PPV and NPV), and positive and negative likelihood ratios (LR positive and LR negative). Correlation coefficients and Cohen's kappa values were used to determine the agreement between measures. Correlation coefficients were also used to evaluate the determinants of inadequate adherence Results The MAQ and the DAI-10 (cut-off score of two) yielded higher rates of nonadherence (35–47%) than the other methods. They were better at detecting adherence (specificity, 34–42%; PPV, 40–44%; and LR negative, 0.70–0.96) than other measures and had moderate ability to identify nonadherence compared with them (sensitivity, 63–73%; NPV, 54–70%; and LR positive, 1.02–1.16). They were associated with several established predictors of nonadherence. The MAQ and DAI-10 scores and the MAQ and CRS scores were modestly correlated. Multivariate analysis showed that 20% of the variance in the DAI-10 scores was explained by the MAQ scores. Despite their low yield, serum levels had a high sensitivity (88%) and higher accuracy (55%) in identifying inadequate adherence. CRS ratings and pill counts had high sensitivity but low specificity to detect inadequate adherence. Conclusion Self-reports appeared to be the most efficient method of ascertaining inadequate adherence among outpatients with BD. However, since none of the measures were adequate by themselves, a combination of different measures is more likely to maximize the chances of identifying inadequate adherence among these patients. Thieme Medical and Scientific Publishers Pvt. Ltd. 2021-09-28 /pmc/articles/PMC8803505/ /pubmed/35110916 http://dx.doi.org/10.1055/s-0041-1736155 Text en Association for Helping Neurosurgical Sick People. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Chauhan, Nidhi Chakrabarti, Subho Grover, Sandeep Identifying Poor Adherence in Outpatients with Bipolar Disorder: A Comparison of Different Measures |
title | Identifying Poor Adherence in Outpatients with Bipolar Disorder: A Comparison of Different Measures |
title_full | Identifying Poor Adherence in Outpatients with Bipolar Disorder: A Comparison of Different Measures |
title_fullStr | Identifying Poor Adherence in Outpatients with Bipolar Disorder: A Comparison of Different Measures |
title_full_unstemmed | Identifying Poor Adherence in Outpatients with Bipolar Disorder: A Comparison of Different Measures |
title_short | Identifying Poor Adherence in Outpatients with Bipolar Disorder: A Comparison of Different Measures |
title_sort | identifying poor adherence in outpatients with bipolar disorder: a comparison of different measures |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803505/ https://www.ncbi.nlm.nih.gov/pubmed/35110916 http://dx.doi.org/10.1055/s-0041-1736155 |
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