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Prescribing differences among older adults with differing health cover and socioeconomic status: a cohort study

INTRODUCTION: As health reforms move Ireland from a mixed public-private system toward universal healthcare, it is important to understand variations in prescribing practice for patients with differing health cover and socioeconomic status. This study aims to determine how prescribing patterns for p...

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Autores principales: Prendergast, Ciaran, Flood, Michelle, Murry, Logan T., Clyne, Barbara, Fahey, Tom, Moriarty, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656928/
https://www.ncbi.nlm.nih.gov/pubmed/37978448
http://dx.doi.org/10.1186/s12877-023-04441-9
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author Prendergast, Ciaran
Flood, Michelle
Murry, Logan T.
Clyne, Barbara
Fahey, Tom
Moriarty, Frank
author_facet Prendergast, Ciaran
Flood, Michelle
Murry, Logan T.
Clyne, Barbara
Fahey, Tom
Moriarty, Frank
author_sort Prendergast, Ciaran
collection PubMed
description INTRODUCTION: As health reforms move Ireland from a mixed public-private system toward universal healthcare, it is important to understand variations in prescribing practice for patients with differing health cover and socioeconomic status. This study aims to determine how prescribing patterns for patients aged ≥ 65 years in primary care in Ireland differ between patients with public and private health cover. METHODS: This was an observational study using anonymised data collected as part of a larger study from 44 general practices in Ireland (2011–2018). Data were extracted from electronic records relating to demographics and prescribing for patients aged ≥ 65 years. The cohort was divided between those with public health cover (via the General Medical Services (GMS) scheme) and those without. Standardised rates of prescribing were calculated for pre-specified drug classes. We also analysed the number of medications, polypharmacy, and trends over time between groups, using multilevel linear regression adjusting for age and sex, and hospitalisations. RESULTS: Overall, 42,456 individuals were included (56% female). Most were covered by the GMS scheme (62%, n = 26,490). The rate of prescribing in all drug classes was higher for GMS patients compared to non-GMS patients, with the greatest difference in benzodiazepine anxiolytics. The mean number of unique medications prescribed to GMS patients was 10.9 (SD 5.9), and 8.1 (SD 5.8) for non-GMS patients. The number of unique medications prescribed to both GMS and non-GMS cohorts increased over time. The increase was steeper in the GMS group where the mean number of medications prescribed increased by 0.67 medications/year. The rate of increase was 0.13 (95%CI 0.13, 0.14) medications/year lower for non-GMS patients, a statistically significant difference. CONCLUSION: Our study found a significantly larger number of medications were prescribed to patients with public health cover, compared to those without. Increasing medication burden and polypharmacy among older adults may be accelerated for those of lower socioeconomic status. These findings may inform planning for moves towards universal health care, and this would provide an opportunity to evaluate the effect of expanding entitlement on prescribing and medications use. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04441-9.
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spelling pubmed-106569282023-11-17 Prescribing differences among older adults with differing health cover and socioeconomic status: a cohort study Prendergast, Ciaran Flood, Michelle Murry, Logan T. Clyne, Barbara Fahey, Tom Moriarty, Frank BMC Geriatr Research INTRODUCTION: As health reforms move Ireland from a mixed public-private system toward universal healthcare, it is important to understand variations in prescribing practice for patients with differing health cover and socioeconomic status. This study aims to determine how prescribing patterns for patients aged ≥ 65 years in primary care in Ireland differ between patients with public and private health cover. METHODS: This was an observational study using anonymised data collected as part of a larger study from 44 general practices in Ireland (2011–2018). Data were extracted from electronic records relating to demographics and prescribing for patients aged ≥ 65 years. The cohort was divided between those with public health cover (via the General Medical Services (GMS) scheme) and those without. Standardised rates of prescribing were calculated for pre-specified drug classes. We also analysed the number of medications, polypharmacy, and trends over time between groups, using multilevel linear regression adjusting for age and sex, and hospitalisations. RESULTS: Overall, 42,456 individuals were included (56% female). Most were covered by the GMS scheme (62%, n = 26,490). The rate of prescribing in all drug classes was higher for GMS patients compared to non-GMS patients, with the greatest difference in benzodiazepine anxiolytics. The mean number of unique medications prescribed to GMS patients was 10.9 (SD 5.9), and 8.1 (SD 5.8) for non-GMS patients. The number of unique medications prescribed to both GMS and non-GMS cohorts increased over time. The increase was steeper in the GMS group where the mean number of medications prescribed increased by 0.67 medications/year. The rate of increase was 0.13 (95%CI 0.13, 0.14) medications/year lower for non-GMS patients, a statistically significant difference. CONCLUSION: Our study found a significantly larger number of medications were prescribed to patients with public health cover, compared to those without. Increasing medication burden and polypharmacy among older adults may be accelerated for those of lower socioeconomic status. These findings may inform planning for moves towards universal health care, and this would provide an opportunity to evaluate the effect of expanding entitlement on prescribing and medications use. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04441-9. BioMed Central 2023-11-17 /pmc/articles/PMC10656928/ /pubmed/37978448 http://dx.doi.org/10.1186/s12877-023-04441-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Prendergast, Ciaran
Flood, Michelle
Murry, Logan T.
Clyne, Barbara
Fahey, Tom
Moriarty, Frank
Prescribing differences among older adults with differing health cover and socioeconomic status: a cohort study
title Prescribing differences among older adults with differing health cover and socioeconomic status: a cohort study
title_full Prescribing differences among older adults with differing health cover and socioeconomic status: a cohort study
title_fullStr Prescribing differences among older adults with differing health cover and socioeconomic status: a cohort study
title_full_unstemmed Prescribing differences among older adults with differing health cover and socioeconomic status: a cohort study
title_short Prescribing differences among older adults with differing health cover and socioeconomic status: a cohort study
title_sort prescribing differences among older adults with differing health cover and socioeconomic status: a cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656928/
https://www.ncbi.nlm.nih.gov/pubmed/37978448
http://dx.doi.org/10.1186/s12877-023-04441-9
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