Medications use among women with dementia: a cohort study.


Journal

Aging clinical and experimental research
ISSN: 1720-8319
Titre abrégé: Aging Clin Exp Res
Pays: Germany
ID NLM: 101132995

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 21 02 2021
accepted: 18 05 2021
pubmed: 27 5 2021
medline: 1 2 2022
entrez: 26 5 2021
Statut: ppublish

Résumé

Older population with dementia use huge range of medications. In this study, we aimed to determine the prevalence of commonly used medications a year before and after first recorded dementia diagnosis among older Australian women. The study utilized Australian Longitudinal Study on Women's Health (ALSWH) data from 2090 women with known dementia, linked with administrative health datasets. The Pharmaceutical Benefits Scheme (PBS) data provided detailed information about prescribed medications. We applied latent class analysis (LCA) to the post-dementia data to identify patterns of medication use. Logistic regression model was used to explore the impact of potential predictors for medication utilization. Antipsychotic use increased from 5% before dementia to 19% after dementia, while antidementia medication use increased from < 1 to 28%. There was a modest increase in benzodiazepines and antidepressants. Post-dementia, four distinct groups were identified using LCA (names based on probabilities of medications use) as: "High Psychotropic-Low Cardiovascular" (16% of the sample); "Moderate Psychotropic-High Cardiovascular" (12%); "Low Psychotropic-High Cardiovascular" (27%); and "Low Psychotropic-Low Cardiovascular" (45%). Living in Residential Aged Care (RAC) and frailty were associated with increased odds of being in the higher psychotropic use groups. Substantial utilization of psychotropic medications by older people with dementia indicates a need for a careful review of the use of these medications. Appropriate alternative approaches to the management of dementia should be practiced with a special focus on RAC residents with frailty.

Sections du résumé

BACKGROUND BACKGROUND
Older population with dementia use huge range of medications. In this study, we aimed to determine the prevalence of commonly used medications a year before and after first recorded dementia diagnosis among older Australian women.
METHODS METHODS
The study utilized Australian Longitudinal Study on Women's Health (ALSWH) data from 2090 women with known dementia, linked with administrative health datasets. The Pharmaceutical Benefits Scheme (PBS) data provided detailed information about prescribed medications. We applied latent class analysis (LCA) to the post-dementia data to identify patterns of medication use. Logistic regression model was used to explore the impact of potential predictors for medication utilization.
RESULTS RESULTS
Antipsychotic use increased from 5% before dementia to 19% after dementia, while antidementia medication use increased from < 1 to 28%. There was a modest increase in benzodiazepines and antidepressants. Post-dementia, four distinct groups were identified using LCA (names based on probabilities of medications use) as: "High Psychotropic-Low Cardiovascular" (16% of the sample); "Moderate Psychotropic-High Cardiovascular" (12%); "Low Psychotropic-High Cardiovascular" (27%); and "Low Psychotropic-Low Cardiovascular" (45%). Living in Residential Aged Care (RAC) and frailty were associated with increased odds of being in the higher psychotropic use groups.
CONCLUSIONS CONCLUSIONS
Substantial utilization of psychotropic medications by older people with dementia indicates a need for a careful review of the use of these medications. Appropriate alternative approaches to the management of dementia should be practiced with a special focus on RAC residents with frailty.

Identifiants

pubmed: 34037977
doi: 10.1007/s40520-021-01892-1
pii: 10.1007/s40520-021-01892-1
doi:

Substances chimiques

Pharmaceutical Preparations 0
Psychotropic Drugs 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

55-64

Subventions

Organisme : Department of Health, Australian Government
ID : G1700929

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Auteurs

Kailash Thapaliya (K)

Research Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia. Kailash.thapaliya@uon.edu.au.
Hunter Medical Research Institute, Lot 1, Kookaburra Cct, New Lambton, NSW, 2305, Australia. Kailash.thapaliya@uon.edu.au.

Melissa L Harris (ML)

Research Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
Hunter Medical Research Institute, Lot 1, Kookaburra Cct, New Lambton, NSW, 2305, Australia.

Peta M Forder (PM)

Research Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
Hunter Medical Research Institute, Lot 1, Kookaburra Cct, New Lambton, NSW, 2305, Australia.

Julie E Byles (JE)

Research Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
Hunter Medical Research Institute, Lot 1, Kookaburra Cct, New Lambton, NSW, 2305, Australia.

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