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Prevalence and predictors of inappropriate prescribing in outpatients with severe mental illness

BACKGROUND: Potentially inappropriate prescribing (PIP) is frequent in geriatrics and results in an increased risk for adverse effects, morbidity, mortality and reduced quality of life. Research on PIP in psychiatry has mainly focused on elderly patients and inpatients. OBJECTIVES: To determine the...

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Autores principales: Koomen, Lisanne, van de Meent, Ilona, Elferink, Floor, Wilting, Ingeborg, Cahn, Wiepke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666674/
https://www.ncbi.nlm.nih.gov/pubmed/38022837
http://dx.doi.org/10.1177/20451253231211576
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author Koomen, Lisanne
van de Meent, Ilona
Elferink, Floor
Wilting, Ingeborg
Cahn, Wiepke
author_facet Koomen, Lisanne
van de Meent, Ilona
Elferink, Floor
Wilting, Ingeborg
Cahn, Wiepke
author_sort Koomen, Lisanne
collection PubMed
description BACKGROUND: Potentially inappropriate prescribing (PIP) is frequent in geriatrics and results in an increased risk for adverse effects, morbidity, mortality and reduced quality of life. Research on PIP in psychiatry has mainly focused on elderly patients and inpatients. OBJECTIVES: To determine the prevalence and the predictors of PIP of psychotropic medication in outpatients with severe mental illness. DESIGN: This study is part of the Muva study, a pragmatic open Stepped Wedge Cluster Randomized Trial of a physical activity intervention for patients (age ⩾ 16 years) with severe mental illness. METHODS: A structured medication interview, questionnaires on social functioning, quality of life and psychiatric symptoms, and BMI and waist circumference measurements were performed followed by a structured medication review. Patients were divided into groups: PIP versus no PIP. Between-group differences were calculated and a multivariate binary logistic regression was performed to examine predictors for PIP. A receiver operating characteristics analysis was performed to determine the area under the curve (AUC). RESULTS: In 75 patients, an average of 5.2 medications of which 2.5 psychotropic medication was used. 35 (46.7%) patients were identified with PIP. Unindicated long-term benzodiazepine use was the most frequently occurring PIP (34.1%). Predictors of PIP were female gender [odds ratio (OR) = 4.88, confidence interval (CI) = 1.16–20.58, p = 0.03], number of medications (OR = 1.41, CI = 1.07–1.86, p = 0.02) and lower social functioning (OR = 1.42, CI = 1.01–2.00, p = 0.05). The AUC was 0.88 for the combined prediction model. CONCLUSION: The prevalence of PIP of psychotropic medication in outpatients with severe mental illness is high. It is therefore important to identify, and where possible, resolve PIP by frequently performing a medication review with specific attention to females, patients with a higher number of medications and patients with lower social functioning. TRIAL REGISTRATION: This trial was registered in The Netherlands Trial Register (NTR) as NTR NL9163 on 20 December 2020 (https://trialsearch.who.int/Trial2.aspx?TrialID=NL9163).
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spelling pubmed-106666742023-11-22 Prevalence and predictors of inappropriate prescribing in outpatients with severe mental illness Koomen, Lisanne van de Meent, Ilona Elferink, Floor Wilting, Ingeborg Cahn, Wiepke Ther Adv Psychopharmacol Original Research BACKGROUND: Potentially inappropriate prescribing (PIP) is frequent in geriatrics and results in an increased risk for adverse effects, morbidity, mortality and reduced quality of life. Research on PIP in psychiatry has mainly focused on elderly patients and inpatients. OBJECTIVES: To determine the prevalence and the predictors of PIP of psychotropic medication in outpatients with severe mental illness. DESIGN: This study is part of the Muva study, a pragmatic open Stepped Wedge Cluster Randomized Trial of a physical activity intervention for patients (age ⩾ 16 years) with severe mental illness. METHODS: A structured medication interview, questionnaires on social functioning, quality of life and psychiatric symptoms, and BMI and waist circumference measurements were performed followed by a structured medication review. Patients were divided into groups: PIP versus no PIP. Between-group differences were calculated and a multivariate binary logistic regression was performed to examine predictors for PIP. A receiver operating characteristics analysis was performed to determine the area under the curve (AUC). RESULTS: In 75 patients, an average of 5.2 medications of which 2.5 psychotropic medication was used. 35 (46.7%) patients were identified with PIP. Unindicated long-term benzodiazepine use was the most frequently occurring PIP (34.1%). Predictors of PIP were female gender [odds ratio (OR) = 4.88, confidence interval (CI) = 1.16–20.58, p = 0.03], number of medications (OR = 1.41, CI = 1.07–1.86, p = 0.02) and lower social functioning (OR = 1.42, CI = 1.01–2.00, p = 0.05). The AUC was 0.88 for the combined prediction model. CONCLUSION: The prevalence of PIP of psychotropic medication in outpatients with severe mental illness is high. It is therefore important to identify, and where possible, resolve PIP by frequently performing a medication review with specific attention to females, patients with a higher number of medications and patients with lower social functioning. TRIAL REGISTRATION: This trial was registered in The Netherlands Trial Register (NTR) as NTR NL9163 on 20 December 2020 (https://trialsearch.who.int/Trial2.aspx?TrialID=NL9163). SAGE Publications 2023-11-22 /pmc/articles/PMC10666674/ /pubmed/38022837 http://dx.doi.org/10.1177/20451253231211576 Text en © The Author(s), 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Koomen, Lisanne
van de Meent, Ilona
Elferink, Floor
Wilting, Ingeborg
Cahn, Wiepke
Prevalence and predictors of inappropriate prescribing in outpatients with severe mental illness
title Prevalence and predictors of inappropriate prescribing in outpatients with severe mental illness
title_full Prevalence and predictors of inappropriate prescribing in outpatients with severe mental illness
title_fullStr Prevalence and predictors of inappropriate prescribing in outpatients with severe mental illness
title_full_unstemmed Prevalence and predictors of inappropriate prescribing in outpatients with severe mental illness
title_short Prevalence and predictors of inappropriate prescribing in outpatients with severe mental illness
title_sort prevalence and predictors of inappropriate prescribing in outpatients with severe mental illness
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666674/
https://www.ncbi.nlm.nih.gov/pubmed/38022837
http://dx.doi.org/10.1177/20451253231211576
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