Estimating the prevalence of dementia using multiple linked administrative health records and capture–recapture methodology

Abstract Background Obtaining population-level estimates of the incidence and prevalence of dementia is challenging due to under-diagnosis and under-reporting. We investigated the feasibility of using multiple linked datasets and capture–recapture techniques to estimate rates of dementia among women...

Full description

Bibliographic Details
Main Authors: Michael Waller, Gita D. Mishra, Annette J. Dobson
Format: Article
Language:English
Published: BMC 2017-02-01
Series:Emerging Themes in Epidemiology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12982-017-0057-3
_version_ 1818056495204401152
author Michael Waller
Gita D. Mishra
Annette J. Dobson
author_facet Michael Waller
Gita D. Mishra
Annette J. Dobson
author_sort Michael Waller
collection DOAJ
description Abstract Background Obtaining population-level estimates of the incidence and prevalence of dementia is challenging due to under-diagnosis and under-reporting. We investigated the feasibility of using multiple linked datasets and capture–recapture techniques to estimate rates of dementia among women in Australia. Methods This work is based on the Australian Longitudinal Study on Women’s Health. A random sample of 12,432 women born in 1921–1926 was recruited in 1996. Over 16 years of follow-up records of dementia were obtained from five sources: three-yearly self-reported surveys; clinical assessments for aged care assistance; death certificates; pharmaceutical prescriptions filled; and, in three Australian States only, hospital in-patient records. Results A total of 2534 women had a record of dementia in at least one of the data sources. The aged care assessments included dementia records for 79.3% of these women, while pharmaceutical data included 34.6%, death certificates 31.0% and survey data 18.5%. In the States where hospital data were available this source included dementia records for 55.8% of the women. Using capture–recapture methods we estimated an additional 728 women with dementia had not been identified, increasing the 16 year prevalence for the cohort from 20.4 to 26.0% (95% confidence interval [CI] 25.2, 26.8%). Conclusions This study demonstrates that using routinely collected health data with record linkage and capture–recapture can produce plausible estimates for dementia prevalence and incidence at a population level.
first_indexed 2024-12-10T12:29:45Z
format Article
id doaj.art-914aa6dea2e2463ba8fd7cda1c2e87b4
institution Directory Open Access Journal
issn 1742-7622
language English
last_indexed 2024-12-10T12:29:45Z
publishDate 2017-02-01
publisher BMC
record_format Article
series Emerging Themes in Epidemiology
spelling doaj.art-914aa6dea2e2463ba8fd7cda1c2e87b42022-12-22T01:48:51ZengBMCEmerging Themes in Epidemiology1742-76222017-02-011411910.1186/s12982-017-0057-3Estimating the prevalence of dementia using multiple linked administrative health records and capture–recapture methodologyMichael Waller0Gita D. Mishra1Annette J. Dobson2School of Public Health, University of QueenslandSchool of Public Health, University of QueenslandSchool of Public Health, University of QueenslandAbstract Background Obtaining population-level estimates of the incidence and prevalence of dementia is challenging due to under-diagnosis and under-reporting. We investigated the feasibility of using multiple linked datasets and capture–recapture techniques to estimate rates of dementia among women in Australia. Methods This work is based on the Australian Longitudinal Study on Women’s Health. A random sample of 12,432 women born in 1921–1926 was recruited in 1996. Over 16 years of follow-up records of dementia were obtained from five sources: three-yearly self-reported surveys; clinical assessments for aged care assistance; death certificates; pharmaceutical prescriptions filled; and, in three Australian States only, hospital in-patient records. Results A total of 2534 women had a record of dementia in at least one of the data sources. The aged care assessments included dementia records for 79.3% of these women, while pharmaceutical data included 34.6%, death certificates 31.0% and survey data 18.5%. In the States where hospital data were available this source included dementia records for 55.8% of the women. Using capture–recapture methods we estimated an additional 728 women with dementia had not been identified, increasing the 16 year prevalence for the cohort from 20.4 to 26.0% (95% confidence interval [CI] 25.2, 26.8%). Conclusions This study demonstrates that using routinely collected health data with record linkage and capture–recapture can produce plausible estimates for dementia prevalence and incidence at a population level.http://link.springer.com/article/10.1186/s12982-017-0057-3DementiaPrevalenceIncidenceLinked dataCapture–recapture
spellingShingle Michael Waller
Gita D. Mishra
Annette J. Dobson
Estimating the prevalence of dementia using multiple linked administrative health records and capture–recapture methodology
Emerging Themes in Epidemiology
Dementia
Prevalence
Incidence
Linked data
Capture–recapture
title Estimating the prevalence of dementia using multiple linked administrative health records and capture–recapture methodology
title_full Estimating the prevalence of dementia using multiple linked administrative health records and capture–recapture methodology
title_fullStr Estimating the prevalence of dementia using multiple linked administrative health records and capture–recapture methodology
title_full_unstemmed Estimating the prevalence of dementia using multiple linked administrative health records and capture–recapture methodology
title_short Estimating the prevalence of dementia using multiple linked administrative health records and capture–recapture methodology
title_sort estimating the prevalence of dementia using multiple linked administrative health records and capture recapture methodology
topic Dementia
Prevalence
Incidence
Linked data
Capture–recapture
url http://link.springer.com/article/10.1186/s12982-017-0057-3
work_keys_str_mv AT michaelwaller estimatingtheprevalenceofdementiausingmultiplelinkedadministrativehealthrecordsandcapturerecapturemethodology
AT gitadmishra estimatingtheprevalenceofdementiausingmultiplelinkedadministrativehealthrecordsandcapturerecapturemethodology
AT annettejdobson estimatingtheprevalenceofdementiausingmultiplelinkedadministrativehealthrecordsandcapturerecapturemethodology