Trends in Parkinson's disease medication prescribing patterns in the UK: An interrupted time series analysis (2019-2024).

This study aimed to examine prescribing trends for Parkinson's disease (PD) medications in the United Kingdom from 2019 to 2024, focusing on the impact of guidelines from the American Academy of Neurology (AAN) and the National Institute for Health and Care Excellence (NICE) on the use of levod...

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Main Author: Khalid Orayj
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0324999
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author Khalid Orayj
author_facet Khalid Orayj
author_sort Khalid Orayj
collection DOAJ
description This study aimed to examine prescribing trends for Parkinson's disease (PD) medications in the United Kingdom from 2019 to 2024, focusing on the impact of guidelines from the American Academy of Neurology (AAN) and the National Institute for Health and Care Excellence (NICE) on the use of levodopa and dopamine agonists (DAs). A repeated cross-sectional design was employed, using publicly available data to assess prescribing patterns across the four UK countries. An interrupted time series analysis with linear regression was performed to identify trends, comparing regions with England as the reference point. Levodopa remained the most prescribed PD medication across all UK regions, as revealed by the analysis. In England, levodopa prescriptions increased significantly after the introduction of AAN guidelines, while other regions displayed more stable trends. Northern Ireland exhibited a distinct pattern, with DAs prescribed more frequently than levodopa. The findings also indicated that Scotland and Wales were less responsive to AAN guidance. This study highlights the influence of clinical guidelines on PD prescribing practices in the UK, with regional variations suggesting possible demographic or healthcare system factors. Further research is required to understand these disparities and their implications for PD management.
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spelling doaj-art-5d393fee55054fc3b63f16b64f8e97a32025-08-20T03:12:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01205e032499910.1371/journal.pone.0324999Trends in Parkinson's disease medication prescribing patterns in the UK: An interrupted time series analysis (2019-2024).Khalid OrayjThis study aimed to examine prescribing trends for Parkinson's disease (PD) medications in the United Kingdom from 2019 to 2024, focusing on the impact of guidelines from the American Academy of Neurology (AAN) and the National Institute for Health and Care Excellence (NICE) on the use of levodopa and dopamine agonists (DAs). A repeated cross-sectional design was employed, using publicly available data to assess prescribing patterns across the four UK countries. An interrupted time series analysis with linear regression was performed to identify trends, comparing regions with England as the reference point. Levodopa remained the most prescribed PD medication across all UK regions, as revealed by the analysis. In England, levodopa prescriptions increased significantly after the introduction of AAN guidelines, while other regions displayed more stable trends. Northern Ireland exhibited a distinct pattern, with DAs prescribed more frequently than levodopa. The findings also indicated that Scotland and Wales were less responsive to AAN guidance. This study highlights the influence of clinical guidelines on PD prescribing practices in the UK, with regional variations suggesting possible demographic or healthcare system factors. Further research is required to understand these disparities and their implications for PD management.https://doi.org/10.1371/journal.pone.0324999
spellingShingle Khalid Orayj
Trends in Parkinson's disease medication prescribing patterns in the UK: An interrupted time series analysis (2019-2024).
PLoS ONE
title Trends in Parkinson's disease medication prescribing patterns in the UK: An interrupted time series analysis (2019-2024).
title_full Trends in Parkinson's disease medication prescribing patterns in the UK: An interrupted time series analysis (2019-2024).
title_fullStr Trends in Parkinson's disease medication prescribing patterns in the UK: An interrupted time series analysis (2019-2024).
title_full_unstemmed Trends in Parkinson's disease medication prescribing patterns in the UK: An interrupted time series analysis (2019-2024).
title_short Trends in Parkinson's disease medication prescribing patterns in the UK: An interrupted time series analysis (2019-2024).
title_sort trends in parkinson s disease medication prescribing patterns in the uk an interrupted time series analysis 2019 2024
url https://doi.org/10.1371/journal.pone.0324999
work_keys_str_mv AT khalidorayj trendsinparkinsonsdiseasemedicationprescribingpatternsintheukaninterruptedtimeseriesanalysis20192024