Evidence map›Paper›PMID 34037977›Full record

ArticleAging clinical and experimental research2022

Medications use among women with dementia: a cohort study.

Kailash Thapaliya, Melissa L Harris, Peta M Forder, Julie E Byles

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In one paragraph

Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kailash ThapaliyaResearch 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.ORCID http://orcid.org/0000-0002-2897-6844
Melissa L HarrisResearch Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
Peta M ForderResearch Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.
Julie E BylesResearch Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.

Funding

Department of Health, Australian Government G1700929
6 · The paper itself

Abstract

backgroundOlder 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.

methodsThe 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.

resultsAntipsychotic 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.

conclusionsSubstantial 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.

Indexed as

DementiaPharmaceutical PreparationsAgedAustraliaCohort StudiesFemaleHomes for the AgedHumansLongitudinal StudiesPsychotropic DrugsPharmaceutical PreparationsPsychotropic DrugsAntipsychoticDementiaPsychotropicResidential aged care

Identifiers

PMID34037977

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.