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Predictors of successful discontinuation of antipsychotics and antidepressants
BACKGROUND: To offer support for patients who decide to discontinue antipsychotic and antidepressant medication, identifying which potentially modifiable factors correlate with discontinuation success is crucial. Here, we analyzed the predictive value of the professional support received, circumstan...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235642/ https://www.ncbi.nlm.nih.gov/pubmed/34937582 http://dx.doi.org/10.1017/S0033291721005146 |
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author | Lincoln, Tania M. Sommer, Daniel Quazzola, Mariana Witzgall, Tatjana Schlier, Björn |
author_facet | Lincoln, Tania M. Sommer, Daniel Quazzola, Mariana Witzgall, Tatjana Schlier, Björn |
author_sort | Lincoln, Tania M. |
collection | PubMed |
description | BACKGROUND: To offer support for patients who decide to discontinue antipsychotic and antidepressant medication, identifying which potentially modifiable factors correlate with discontinuation success is crucial. Here, we analyzed the predictive value of the professional support received, circumstances prior to discontinuation, a strategy of discontinuation, and use of functional and non-functional coping strategies during discontinuation on self-reported discontinuation success and on objective discontinuation. METHODS: Patients who had attempted discontinuing antipsychotics (AP) and/or antidepressants (AD) during the past 5 years (n = 316) completed an online survey including questions on subjective and objective discontinuation success, sociodemographic, clinical and medication-related factors, and scales to assess the putative predictors. RESULTS: A regression model with all significant predictors explained 20–30% of the variance in discontinuation success for AD and 30–40% for AP. After controlling for baseline sociodemographic, clinical and medication-related factors, the most consistent predictor of subjective discontinuation success was self-care behavior, in particular mindfulness, relaxation and making use of supportive relationships. Other predictors depended on the type of medication: For AD, good alliance with the prescribing physician predicted higher subjective success whereas gradual tapering per se was associated with lower subjective success and a lower chance of full discontinuation. In those tapering off AP, leaving time to adjust between dose reductions was associated with higher subjective success and fewer negative effects. CONCLUSIONS: The findings can inform evidence-based clinical guidelines and interventions aiming to support patients during discontinuation. Further studies powered to take interactions between variables into account are needed to improve the prediction of successful discontinuation. |
format | Online Article Text |
id | pubmed-10235642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102356422023-06-03 Predictors of successful discontinuation of antipsychotics and antidepressants Lincoln, Tania M. Sommer, Daniel Quazzola, Mariana Witzgall, Tatjana Schlier, Björn Psychol Med Original Article BACKGROUND: To offer support for patients who decide to discontinue antipsychotic and antidepressant medication, identifying which potentially modifiable factors correlate with discontinuation success is crucial. Here, we analyzed the predictive value of the professional support received, circumstances prior to discontinuation, a strategy of discontinuation, and use of functional and non-functional coping strategies during discontinuation on self-reported discontinuation success and on objective discontinuation. METHODS: Patients who had attempted discontinuing antipsychotics (AP) and/or antidepressants (AD) during the past 5 years (n = 316) completed an online survey including questions on subjective and objective discontinuation success, sociodemographic, clinical and medication-related factors, and scales to assess the putative predictors. RESULTS: A regression model with all significant predictors explained 20–30% of the variance in discontinuation success for AD and 30–40% for AP. After controlling for baseline sociodemographic, clinical and medication-related factors, the most consistent predictor of subjective discontinuation success was self-care behavior, in particular mindfulness, relaxation and making use of supportive relationships. Other predictors depended on the type of medication: For AD, good alliance with the prescribing physician predicted higher subjective success whereas gradual tapering per se was associated with lower subjective success and a lower chance of full discontinuation. In those tapering off AP, leaving time to adjust between dose reductions was associated with higher subjective success and fewer negative effects. CONCLUSIONS: The findings can inform evidence-based clinical guidelines and interventions aiming to support patients during discontinuation. Further studies powered to take interactions between variables into account are needed to improve the prediction of successful discontinuation. Cambridge University Press 2023-05 2021-12-23 /pmc/articles/PMC10235642/ /pubmed/34937582 http://dx.doi.org/10.1017/S0033291721005146 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Original Article Lincoln, Tania M. Sommer, Daniel Quazzola, Mariana Witzgall, Tatjana Schlier, Björn Predictors of successful discontinuation of antipsychotics and antidepressants |
title | Predictors of successful discontinuation of antipsychotics and antidepressants |
title_full | Predictors of successful discontinuation of antipsychotics and antidepressants |
title_fullStr | Predictors of successful discontinuation of antipsychotics and antidepressants |
title_full_unstemmed | Predictors of successful discontinuation of antipsychotics and antidepressants |
title_short | Predictors of successful discontinuation of antipsychotics and antidepressants |
title_sort | predictors of successful discontinuation of antipsychotics and antidepressants |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235642/ https://www.ncbi.nlm.nih.gov/pubmed/34937582 http://dx.doi.org/10.1017/S0033291721005146 |
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