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Patterns and predictors of oral antipsychotic prescribing in adult patients with schizophrenia

BACKGROUND: Evidence increasingly suggests minimal differences in efficacy between oral antipsychotics for the pharmacologic treatment of schizophrenia. As a result, newer treatment guidelines avoid an algorithmic approach to antipsychotic selection and recommend treatment be determined on a case-by...

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Autores principales: Vadiei, Nina, El-Ali, Jasim, Delaune, Joss, Wild, Cecilia, Liu, Yi-Shao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218131/
https://www.ncbi.nlm.nih.gov/pubmed/35755718
http://dx.doi.org/10.1016/j.rcsop.2022.100148
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author Vadiei, Nina
El-Ali, Jasim
Delaune, Joss
Wild, Cecilia
Liu, Yi-Shao
author_facet Vadiei, Nina
El-Ali, Jasim
Delaune, Joss
Wild, Cecilia
Liu, Yi-Shao
author_sort Vadiei, Nina
collection PubMed
description BACKGROUND: Evidence increasingly suggests minimal differences in efficacy between oral antipsychotics for the pharmacologic treatment of schizophrenia. As a result, newer treatment guidelines avoid an algorithmic approach to antipsychotic selection and recommend treatment be determined on a case-by-case basis. OBJECTIVE: To determine patterns and predictors of oral antipsychotic prescribing for adults diagnosed with schizophrenia. METHODS: This is a retrospective, cross-sectional study using data from the National Ambulatory Medical Survey (NAMCS) from 2005 to 2016 and 2018. Treatment options were defined as a first-generation antipsychotic (FGA), second-generation antipsychotic (SGA), or no antipsychotic. Multivariable logistic regression analysis was conducted to identify predictors of antipsychotic treatment, adjusting for predisposing, enabling, and need factors. RESULTS: The final study sample consisted of visits by 38,403 adults (unweighted n = 1932; age ≥ 18) diagnosed with schizophrenia in the United States. Risperidone, olanzapine, and quetiapine were the most prescribed antipsychotics. Patients ≥65 years old were half as likely to be prescribed an SGA versus no antipsychotic (OR 0.44, 95% CI [0.31, 0.61]). Patients with a higher number of chronic conditions also had lower odds of being prescribed an SGA or FGA versus no antipsychotic (OR 0.98 [0.97, 0.99]; OR [0.96 [0.96, 0.99]), while patients prescribed a higher number of medications had higher odds of being prescribed an SGA versus no antipsychotic (OR 1.2, 95% CI [1.1, 1.4]). CONCLUSIONS: Multiple factors were associated with prescribing an SGA or FGA versus no antipsychotic, but no factors were associated with prescribing an SGA versus FGA. Future studies are needed to determine the reasoning behind differences in antipsychotic prescribing.
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spelling pubmed-92181312022-06-24 Patterns and predictors of oral antipsychotic prescribing in adult patients with schizophrenia Vadiei, Nina El-Ali, Jasim Delaune, Joss Wild, Cecilia Liu, Yi-Shao Explor Res Clin Soc Pharm Article BACKGROUND: Evidence increasingly suggests minimal differences in efficacy between oral antipsychotics for the pharmacologic treatment of schizophrenia. As a result, newer treatment guidelines avoid an algorithmic approach to antipsychotic selection and recommend treatment be determined on a case-by-case basis. OBJECTIVE: To determine patterns and predictors of oral antipsychotic prescribing for adults diagnosed with schizophrenia. METHODS: This is a retrospective, cross-sectional study using data from the National Ambulatory Medical Survey (NAMCS) from 2005 to 2016 and 2018. Treatment options were defined as a first-generation antipsychotic (FGA), second-generation antipsychotic (SGA), or no antipsychotic. Multivariable logistic regression analysis was conducted to identify predictors of antipsychotic treatment, adjusting for predisposing, enabling, and need factors. RESULTS: The final study sample consisted of visits by 38,403 adults (unweighted n = 1932; age ≥ 18) diagnosed with schizophrenia in the United States. Risperidone, olanzapine, and quetiapine were the most prescribed antipsychotics. Patients ≥65 years old were half as likely to be prescribed an SGA versus no antipsychotic (OR 0.44, 95% CI [0.31, 0.61]). Patients with a higher number of chronic conditions also had lower odds of being prescribed an SGA or FGA versus no antipsychotic (OR 0.98 [0.97, 0.99]; OR [0.96 [0.96, 0.99]), while patients prescribed a higher number of medications had higher odds of being prescribed an SGA versus no antipsychotic (OR 1.2, 95% CI [1.1, 1.4]). CONCLUSIONS: Multiple factors were associated with prescribing an SGA or FGA versus no antipsychotic, but no factors were associated with prescribing an SGA versus FGA. Future studies are needed to determine the reasoning behind differences in antipsychotic prescribing. Elsevier 2022-06-09 /pmc/articles/PMC9218131/ /pubmed/35755718 http://dx.doi.org/10.1016/j.rcsop.2022.100148 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Vadiei, Nina
El-Ali, Jasim
Delaune, Joss
Wild, Cecilia
Liu, Yi-Shao
Patterns and predictors of oral antipsychotic prescribing in adult patients with schizophrenia
title Patterns and predictors of oral antipsychotic prescribing in adult patients with schizophrenia
title_full Patterns and predictors of oral antipsychotic prescribing in adult patients with schizophrenia
title_fullStr Patterns and predictors of oral antipsychotic prescribing in adult patients with schizophrenia
title_full_unstemmed Patterns and predictors of oral antipsychotic prescribing in adult patients with schizophrenia
title_short Patterns and predictors of oral antipsychotic prescribing in adult patients with schizophrenia
title_sort patterns and predictors of oral antipsychotic prescribing in adult patients with schizophrenia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218131/
https://www.ncbi.nlm.nih.gov/pubmed/35755718
http://dx.doi.org/10.1016/j.rcsop.2022.100148
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