Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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
_version_ 1783299356938469376
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
work_keys_str_mv AT davisdaniel thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT richardsonsarah thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT hornbyjoanne thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT bowdenhelen thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT hoffmannkatrin thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT westonclarkemaryse thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT greenfenella thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT chaturvedinishi thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT hughesalun thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT kuhdiana thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT sampsonelizabeth thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT mizoguchiruth thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT cheahkhailee thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT romainmelanie thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT sinhaabhi thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT jenkinrodric thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT braynecarol thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT maclullichalasdair thedeliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT davisdaniel deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT richardsonsarah deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT hornbyjoanne deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT bowdenhelen deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT hoffmannkatrin deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT westonclarkemaryse deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT greenfenella deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT chaturvedinishi deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT hughesalun deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT kuhdiana deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT sampsonelizabeth deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT mizoguchiruth deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT cheahkhailee deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT romainmelanie deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT sinhaabhi deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT jenkinrodric deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT braynecarol deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation
AT maclullichalasdair deliriumandpopulationhealthinformaticscohortstudyprotocolascertainingthedeterminantsandoutcomesfromdeliriuminawholepopulation