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Antipsychotic prescribing patterns in Australia: a retrospective analysis

BACKGROUND: To examine real-world patterns of antipsychotic use in patients with schizophrenia Australia. METHODS: This retrospective cohort analysis was conducted using the Australian Commonwealth Department of Human Services Pharmaceutical Benefits Scheme (PBS) 10% sample data. Included data were...

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Autores principales: Pai, Nagesh, Acar, Mustafa, Juneja, Prabhjot, Kouhkamari, Mahsa Hosseini, Siva, Sinthuja, Mullan, Judy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840322/
https://www.ncbi.nlm.nih.gov/pubmed/35148707
http://dx.doi.org/10.1186/s12888-022-03755-z
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author Pai, Nagesh
Acar, Mustafa
Juneja, Prabhjot
Kouhkamari, Mahsa Hosseini
Siva, Sinthuja
Mullan, Judy
author_facet Pai, Nagesh
Acar, Mustafa
Juneja, Prabhjot
Kouhkamari, Mahsa Hosseini
Siva, Sinthuja
Mullan, Judy
author_sort Pai, Nagesh
collection PubMed
description BACKGROUND: To examine real-world patterns of antipsychotic use in patients with schizophrenia Australia. METHODS: This retrospective cohort analysis was conducted using the Australian Commonwealth Department of Human Services Pharmaceutical Benefits Scheme (PBS) 10% sample data. Included data were for patients aged 16-years or older who initiated treatment for the first time with a PBS-reimbursed antipsychotic medication for schizophrenia between July 2013 and September 2017. Patterns of treatment usage were summarised descriptively. Differences in prescribing patterns by age and prescribing year were reported. Treatment persistence was estimated using Kaplan-Meier methods, with differences explored using log-rank tests. Values of p < 0.05 were considered statistically significant. RESULTS: 6,740 patients, representing 8,249 non-unique patients, received prescriptions for antipsychotic medications. Patients were aged 16 years to over 85 years (54.5% were < 55 years) and two-thirds of patients were male (61%). The majority of treatment episodes (62%, n = 5,139/8,249) were prescribed an atypical oral antipsychotic. Typical long-acting antipsychotic therapies (LATs) were prescribed 19% of the treatment episodes (n = 1,608/8,249. There was a small increase in prescribing of atypical LAT and typical LAT and a small decrease in atypical oral and clozapine prescribing over the study period. Treatment persistence was greatest in patients treated with clozapine, than in those treated with atypical LATs. CONCLUSIONS: While the majority of patients receive atypical antipsychotic medications, one in five continue to use older typical LAT therapies. Patient age and time on therapy may be associated with choice of therapy. Persistence to atypical LAT therapy is better than for other treatment modalities in this real-world cohort. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03755-z.
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spelling pubmed-88403222022-02-16 Antipsychotic prescribing patterns in Australia: a retrospective analysis Pai, Nagesh Acar, Mustafa Juneja, Prabhjot Kouhkamari, Mahsa Hosseini Siva, Sinthuja Mullan, Judy BMC Psychiatry Research BACKGROUND: To examine real-world patterns of antipsychotic use in patients with schizophrenia Australia. METHODS: This retrospective cohort analysis was conducted using the Australian Commonwealth Department of Human Services Pharmaceutical Benefits Scheme (PBS) 10% sample data. Included data were for patients aged 16-years or older who initiated treatment for the first time with a PBS-reimbursed antipsychotic medication for schizophrenia between July 2013 and September 2017. Patterns of treatment usage were summarised descriptively. Differences in prescribing patterns by age and prescribing year were reported. Treatment persistence was estimated using Kaplan-Meier methods, with differences explored using log-rank tests. Values of p < 0.05 were considered statistically significant. RESULTS: 6,740 patients, representing 8,249 non-unique patients, received prescriptions for antipsychotic medications. Patients were aged 16 years to over 85 years (54.5% were < 55 years) and two-thirds of patients were male (61%). The majority of treatment episodes (62%, n = 5,139/8,249) were prescribed an atypical oral antipsychotic. Typical long-acting antipsychotic therapies (LATs) were prescribed 19% of the treatment episodes (n = 1,608/8,249. There was a small increase in prescribing of atypical LAT and typical LAT and a small decrease in atypical oral and clozapine prescribing over the study period. Treatment persistence was greatest in patients treated with clozapine, than in those treated with atypical LATs. CONCLUSIONS: While the majority of patients receive atypical antipsychotic medications, one in five continue to use older typical LAT therapies. Patient age and time on therapy may be associated with choice of therapy. Persistence to atypical LAT therapy is better than for other treatment modalities in this real-world cohort. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03755-z. BioMed Central 2022-02-12 /pmc/articles/PMC8840322/ /pubmed/35148707 http://dx.doi.org/10.1186/s12888-022-03755-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Pai, Nagesh
Acar, Mustafa
Juneja, Prabhjot
Kouhkamari, Mahsa Hosseini
Siva, Sinthuja
Mullan, Judy
Antipsychotic prescribing patterns in Australia: a retrospective analysis
title Antipsychotic prescribing patterns in Australia: a retrospective analysis
title_full Antipsychotic prescribing patterns in Australia: a retrospective analysis
title_fullStr Antipsychotic prescribing patterns in Australia: a retrospective analysis
title_full_unstemmed Antipsychotic prescribing patterns in Australia: a retrospective analysis
title_short Antipsychotic prescribing patterns in Australia: a retrospective analysis
title_sort antipsychotic prescribing patterns in australia: a retrospective analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840322/
https://www.ncbi.nlm.nih.gov/pubmed/35148707
http://dx.doi.org/10.1186/s12888-022-03755-z
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