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Measuring dementia incidence within a cohort of 267,153 older Australians using routinely collected linked administrative data

To estimate dementia incidence rates using Australian administrative datasets and compare the characteristics of people identified with dementia across different datasets. This data linkage study used a cohort of 267,153 from the Australian 45 and Up Study. Participants completed a survey in 2006–20...

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Autores principales: Welberry, Heidi J., Brodaty, Henry, Hsu, Benjumin, Barbieri, Sebastiano, Jorm, Louisa R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260191/
https://www.ncbi.nlm.nih.gov/pubmed/32472058
http://dx.doi.org/10.1038/s41598-020-65273-w
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author Welberry, Heidi J.
Brodaty, Henry
Hsu, Benjumin
Barbieri, Sebastiano
Jorm, Louisa R.
author_facet Welberry, Heidi J.
Brodaty, Henry
Hsu, Benjumin
Barbieri, Sebastiano
Jorm, Louisa R.
author_sort Welberry, Heidi J.
collection PubMed
description To estimate dementia incidence rates using Australian administrative datasets and compare the characteristics of people identified with dementia across different datasets. This data linkage study used a cohort of 267,153 from the Australian 45 and Up Study. Participants completed a survey in 2006–2009 and subsequent dementia was identified through pharmaceutical claims, hospitalisations, aged care eligibility assessments, care needs at residential aged care entry and death certificates. Age-specific, and age-standardised incidence rates, incidence rate ratios and survival from first dementia diagnosis were estimated. Estimated age-standardised dementia incidence rates using all linked datasets was 16.8 cases per 1000 person years for people aged 65+. Comparing incidence rates to the global published rates suggested 77% of cases were identified but this varied by age with highest coverage among those aged 80–84 years (92%). Incidence rate ratios were inconsistent across datasets for: sex, socio-economic disadvantage, size of support network, marital status, functional limitations and diabetes. Median survival from first dementia diagnosis ranged from 1.80 years in the care needs dataset to 3.74 years in the pharmaceutical claims dataset. Characteristics of people identified with dementia in different administrative datasets reflect the factors that drive interaction with specific services; this may introduce bias in observational studies using a single data-source to identify dementia.
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spelling pubmed-72601912020-06-05 Measuring dementia incidence within a cohort of 267,153 older Australians using routinely collected linked administrative data Welberry, Heidi J. Brodaty, Henry Hsu, Benjumin Barbieri, Sebastiano Jorm, Louisa R. Sci Rep Article To estimate dementia incidence rates using Australian administrative datasets and compare the characteristics of people identified with dementia across different datasets. This data linkage study used a cohort of 267,153 from the Australian 45 and Up Study. Participants completed a survey in 2006–2009 and subsequent dementia was identified through pharmaceutical claims, hospitalisations, aged care eligibility assessments, care needs at residential aged care entry and death certificates. Age-specific, and age-standardised incidence rates, incidence rate ratios and survival from first dementia diagnosis were estimated. Estimated age-standardised dementia incidence rates using all linked datasets was 16.8 cases per 1000 person years for people aged 65+. Comparing incidence rates to the global published rates suggested 77% of cases were identified but this varied by age with highest coverage among those aged 80–84 years (92%). Incidence rate ratios were inconsistent across datasets for: sex, socio-economic disadvantage, size of support network, marital status, functional limitations and diabetes. Median survival from first dementia diagnosis ranged from 1.80 years in the care needs dataset to 3.74 years in the pharmaceutical claims dataset. Characteristics of people identified with dementia in different administrative datasets reflect the factors that drive interaction with specific services; this may introduce bias in observational studies using a single data-source to identify dementia. Nature Publishing Group UK 2020-05-29 /pmc/articles/PMC7260191/ /pubmed/32472058 http://dx.doi.org/10.1038/s41598-020-65273-w Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Welberry, Heidi J.
Brodaty, Henry
Hsu, Benjumin
Barbieri, Sebastiano
Jorm, Louisa R.
Measuring dementia incidence within a cohort of 267,153 older Australians using routinely collected linked administrative data
title Measuring dementia incidence within a cohort of 267,153 older Australians using routinely collected linked administrative data
title_full Measuring dementia incidence within a cohort of 267,153 older Australians using routinely collected linked administrative data
title_fullStr Measuring dementia incidence within a cohort of 267,153 older Australians using routinely collected linked administrative data
title_full_unstemmed Measuring dementia incidence within a cohort of 267,153 older Australians using routinely collected linked administrative data
title_short Measuring dementia incidence within a cohort of 267,153 older Australians using routinely collected linked administrative data
title_sort measuring dementia incidence within a cohort of 267,153 older australians using routinely collected linked administrative data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260191/
https://www.ncbi.nlm.nih.gov/pubmed/32472058
http://dx.doi.org/10.1038/s41598-020-65273-w
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