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The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population
BACKGROUND: Delirium affects 25% of older inpatients and is associated with long-term cognitive impairment and future dementia. However, no population studies have systematically ascertained cognitive function before, cognitive deficits during, and cognitive impairment after delirium. Therefore, the...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807842/ https://www.ncbi.nlm.nih.gov/pubmed/29426299 http://dx.doi.org/10.1186/s12877-018-0742-2 |
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author | Davis, Daniel Richardson, Sarah Hornby, Joanne Bowden, Helen Hoffmann, Katrin Weston-Clarke, Maryse Green, Fenella Chaturvedi, Nishi Hughes, Alun Kuh, Diana Sampson, Elizabeth Mizoguchi, Ruth Cheah, Khai Lee Romain, Melanie Sinha, Abhi Jenkin, Rodric Brayne, Carol MacLullich, Alasdair |
author_facet | Davis, Daniel Richardson, Sarah Hornby, Joanne Bowden, Helen Hoffmann, Katrin Weston-Clarke, Maryse Green, Fenella Chaturvedi, Nishi Hughes, Alun Kuh, Diana Sampson, Elizabeth Mizoguchi, Ruth Cheah, Khai Lee Romain, Melanie Sinha, Abhi Jenkin, Rodric Brayne, Carol MacLullich, Alasdair |
author_sort | Davis, Daniel |
collection | PubMed |
description | BACKGROUND: Delirium affects 25% of older inpatients and is associated with long-term cognitive impairment and future dementia. However, no population studies have systematically ascertained cognitive function before, cognitive deficits during, and cognitive impairment after delirium. Therefore, there is a need to address the following question: does delirium, and its features (including severity, duration, and presumed aetiologies), predict long-term cognitive impairment, independent of cognitive impairment at baseline? METHODS: The Delirium and Population Health Informatics Cohort (DELPHIC) study is an observational population-based cohort study based in the London Borough of Camden. It is recruiting 2000 individuals aged ≥70 years and prospectively following them for two years, including daily ascertainment of all inpatient episodes for delirium. Daily inpatient assessments include the Memorial Delirium Assessment Scale, the Observational Scale for Level of Arousal, and the Hierarchical Assessment of Balance and Mobility. Data on delirium aetiology is also collected. The primary outcome is the change in the modified Telephone Interview for Cognitive Status at two years. DISCUSSION: DELPHIC is the first population sample to assess older persons before, during and after hospitalisation. The cumulative incidence of delirium in the general population aged ≥70 will be described. DELPHIC offers the opportunity to quantify the impact of delirium on cognitive and functional outcomes. Overall, DELPHIC will provide a real-time public health observatory whereby information from primary, secondary, intermediate and social care can be integrated to understand how acute illness is linked to health and social care outcomes. |
format | Online Article Text |
id | pubmed-5807842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58078422018-02-15 The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population Davis, Daniel Richardson, Sarah Hornby, Joanne Bowden, Helen Hoffmann, Katrin Weston-Clarke, Maryse Green, Fenella Chaturvedi, Nishi Hughes, Alun Kuh, Diana Sampson, Elizabeth Mizoguchi, Ruth Cheah, Khai Lee Romain, Melanie Sinha, Abhi Jenkin, Rodric Brayne, Carol MacLullich, Alasdair BMC Geriatr Study Protocol BACKGROUND: Delirium affects 25% of older inpatients and is associated with long-term cognitive impairment and future dementia. However, no population studies have systematically ascertained cognitive function before, cognitive deficits during, and cognitive impairment after delirium. Therefore, there is a need to address the following question: does delirium, and its features (including severity, duration, and presumed aetiologies), predict long-term cognitive impairment, independent of cognitive impairment at baseline? METHODS: The Delirium and Population Health Informatics Cohort (DELPHIC) study is an observational population-based cohort study based in the London Borough of Camden. It is recruiting 2000 individuals aged ≥70 years and prospectively following them for two years, including daily ascertainment of all inpatient episodes for delirium. Daily inpatient assessments include the Memorial Delirium Assessment Scale, the Observational Scale for Level of Arousal, and the Hierarchical Assessment of Balance and Mobility. Data on delirium aetiology is also collected. The primary outcome is the change in the modified Telephone Interview for Cognitive Status at two years. DISCUSSION: DELPHIC is the first population sample to assess older persons before, during and after hospitalisation. The cumulative incidence of delirium in the general population aged ≥70 will be described. DELPHIC offers the opportunity to quantify the impact of delirium on cognitive and functional outcomes. Overall, DELPHIC will provide a real-time public health observatory whereby information from primary, secondary, intermediate and social care can be integrated to understand how acute illness is linked to health and social care outcomes. BioMed Central 2018-02-09 /pmc/articles/PMC5807842/ /pubmed/29426299 http://dx.doi.org/10.1186/s12877-018-0742-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Study Protocol Davis, Daniel Richardson, Sarah Hornby, Joanne Bowden, Helen Hoffmann, Katrin Weston-Clarke, Maryse Green, Fenella Chaturvedi, Nishi Hughes, Alun Kuh, Diana Sampson, Elizabeth Mizoguchi, Ruth Cheah, Khai Lee Romain, Melanie Sinha, Abhi Jenkin, Rodric Brayne, Carol MacLullich, Alasdair The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population |
title | The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population |
title_full | The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population |
title_fullStr | The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population |
title_full_unstemmed | The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population |
title_short | The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population |
title_sort | delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807842/ https://www.ncbi.nlm.nih.gov/pubmed/29426299 http://dx.doi.org/10.1186/s12877-018-0742-2 |
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