Cargando…
Diagnostic accuracy of linked administrative data for dementia diagnosis in community-dwelling older men in Australia
BACKGROUND: Routinely collected health administrative data can be used to estimate the prevalence or incidence of dementia at a population level but can be inaccurate. This study aimed to examine the accuracy of hospital and death data for diagnosing dementia compared with a clinical diagnosis in co...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664614/ https://www.ncbi.nlm.nih.gov/pubmed/36380274 http://dx.doi.org/10.1186/s12877-022-03579-2 |
_version_ | 1784831138298068992 |
---|---|
author | Chow, Eric P. F. Hsu, Benjumin Waite, Louise M. Blyth, Fiona M. Handelsman, David J. Le Couteur, David G. Naganathan, Vasi Stanaway, Fiona F. |
author_facet | Chow, Eric P. F. Hsu, Benjumin Waite, Louise M. Blyth, Fiona M. Handelsman, David J. Le Couteur, David G. Naganathan, Vasi Stanaway, Fiona F. |
author_sort | Chow, Eric P. F. |
collection | PubMed |
description | BACKGROUND: Routinely collected health administrative data can be used to estimate the prevalence or incidence of dementia at a population level but can be inaccurate. This study aimed to examine the accuracy of hospital and death data for diagnosing dementia compared with a clinical diagnosis in community dwelling older men in Australia. METHODS: We performed a retrospective analysis of the Concord Health and Ageing in Men Project (CHAMP) in Sydney, Australia. Of the 1705 men aged ≥70 years in the CHAMP study, 1400 had available linked administrative data records from 1 year prior to 1 year post the date of clinical dementia diagnosis. The primary outcome was the accuracy of dementia diagnosis using linked administrative data records compared to clinical dementia diagnosis. The linked data diagnosis was based on hospital and death records for the 1 year pre and post the clinical diagnosis. Clinical dementia diagnosis was a two-stage process with initial screening, followed by clinical assessment for those meeting a validated cut-off. A final clinical diagnosis of dementia based on the Diagnostic and Statistical Manual of Mental Disorders (4th edition) criteria was reached by a consensus panel. RESULTS: Administrative data identified 28 participants as having dementia, compared to 88 identified through clinical assessment. Administrative data had a sensitivity of 20% (95% CI: 13–30%, 18/88), specificity of 99% (95% CI: 99–100%, 1301/1312), positive predictive value (PPV) of 62% (95% CI: 44–77%), negative predictive value of 95% (95% CI: 94–95%), positive likelihood ratio of 24.4 (95% CI: 11.9–50.0) and negative likelihood ratio of 0.80 (0.72–0.89). CONCLUSIONS: Administrative hospital and death data has limited accuracy for dementia diagnosis with poor sensitivity and PPV. The prevalence of dementia is likely underestimated using hospital and deaths data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03579-2. |
format | Online Article Text |
id | pubmed-9664614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96646142022-11-15 Diagnostic accuracy of linked administrative data for dementia diagnosis in community-dwelling older men in Australia Chow, Eric P. F. Hsu, Benjumin Waite, Louise M. Blyth, Fiona M. Handelsman, David J. Le Couteur, David G. Naganathan, Vasi Stanaway, Fiona F. BMC Geriatr Research BACKGROUND: Routinely collected health administrative data can be used to estimate the prevalence or incidence of dementia at a population level but can be inaccurate. This study aimed to examine the accuracy of hospital and death data for diagnosing dementia compared with a clinical diagnosis in community dwelling older men in Australia. METHODS: We performed a retrospective analysis of the Concord Health and Ageing in Men Project (CHAMP) in Sydney, Australia. Of the 1705 men aged ≥70 years in the CHAMP study, 1400 had available linked administrative data records from 1 year prior to 1 year post the date of clinical dementia diagnosis. The primary outcome was the accuracy of dementia diagnosis using linked administrative data records compared to clinical dementia diagnosis. The linked data diagnosis was based on hospital and death records for the 1 year pre and post the clinical diagnosis. Clinical dementia diagnosis was a two-stage process with initial screening, followed by clinical assessment for those meeting a validated cut-off. A final clinical diagnosis of dementia based on the Diagnostic and Statistical Manual of Mental Disorders (4th edition) criteria was reached by a consensus panel. RESULTS: Administrative data identified 28 participants as having dementia, compared to 88 identified through clinical assessment. Administrative data had a sensitivity of 20% (95% CI: 13–30%, 18/88), specificity of 99% (95% CI: 99–100%, 1301/1312), positive predictive value (PPV) of 62% (95% CI: 44–77%), negative predictive value of 95% (95% CI: 94–95%), positive likelihood ratio of 24.4 (95% CI: 11.9–50.0) and negative likelihood ratio of 0.80 (0.72–0.89). CONCLUSIONS: Administrative hospital and death data has limited accuracy for dementia diagnosis with poor sensitivity and PPV. The prevalence of dementia is likely underestimated using hospital and deaths data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03579-2. BioMed Central 2022-11-15 /pmc/articles/PMC9664614/ /pubmed/36380274 http://dx.doi.org/10.1186/s12877-022-03579-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Chow, Eric P. F. Hsu, Benjumin Waite, Louise M. Blyth, Fiona M. Handelsman, David J. Le Couteur, David G. Naganathan, Vasi Stanaway, Fiona F. Diagnostic accuracy of linked administrative data for dementia diagnosis in community-dwelling older men in Australia |
title | Diagnostic accuracy of linked administrative data for dementia diagnosis in community-dwelling older men in Australia |
title_full | Diagnostic accuracy of linked administrative data for dementia diagnosis in community-dwelling older men in Australia |
title_fullStr | Diagnostic accuracy of linked administrative data for dementia diagnosis in community-dwelling older men in Australia |
title_full_unstemmed | Diagnostic accuracy of linked administrative data for dementia diagnosis in community-dwelling older men in Australia |
title_short | Diagnostic accuracy of linked administrative data for dementia diagnosis in community-dwelling older men in Australia |
title_sort | diagnostic accuracy of linked administrative data for dementia diagnosis in community-dwelling older men in australia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664614/ https://www.ncbi.nlm.nih.gov/pubmed/36380274 http://dx.doi.org/10.1186/s12877-022-03579-2 |
work_keys_str_mv | AT chowericpf diagnosticaccuracyoflinkedadministrativedatafordementiadiagnosisincommunitydwellingoldermeninaustralia AT hsubenjumin diagnosticaccuracyoflinkedadministrativedatafordementiadiagnosisincommunitydwellingoldermeninaustralia AT waitelouisem diagnosticaccuracyoflinkedadministrativedatafordementiadiagnosisincommunitydwellingoldermeninaustralia AT blythfionam diagnosticaccuracyoflinkedadministrativedatafordementiadiagnosisincommunitydwellingoldermeninaustralia AT handelsmandavidj diagnosticaccuracyoflinkedadministrativedatafordementiadiagnosisincommunitydwellingoldermeninaustralia AT lecouteurdavidg diagnosticaccuracyoflinkedadministrativedatafordementiadiagnosisincommunitydwellingoldermeninaustralia AT naganathanvasi diagnosticaccuracyoflinkedadministrativedatafordementiadiagnosisincommunitydwellingoldermeninaustralia AT stanawayfionaf diagnosticaccuracyoflinkedadministrativedatafordementiadiagnosisincommunitydwellingoldermeninaustralia |