| Title |
The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population
|
|---|---|
| Published in |
BMC Geriatrics, February 2018
|
| DOI | 10.1186/s12877-018-0742-2 |
| Pubmed ID | |
| Authors |
Daniel Davis, Sarah Richardson, Joanne Hornby, Helen Bowden, Katrin Hoffmann, Maryse Weston-Clarke, Fenella Green, Nishi Chaturvedi, Alun Hughes, Diana Kuh, Elizabeth Sampson, Ruth Mizoguchi, Khai Lee Cheah, Melanie Romain, Abhi Sinha, Rodric Jenkin, Carol Brayne, Alasdair MacLullich |
| Abstract |
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? 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. 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. |
X Demographics
The data shown below were collected from the profiles of 56 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 24 | 43% |
| United States | 7 | 13% |
| Australia | 3 | 5% |
| Timor-Leste | 1 | 2% |
| Italy | 1 | 2% |
| Ireland | 1 | 2% |
| Canada | 1 | 2% |
| Chile | 1 | 2% |
| Unknown | 17 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 55% |
| Practitioners (doctors, other healthcare professionals) | 13 | 23% |
| Scientists | 11 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 14% |
| Researcher | 13 | 13% |
| Other | 8 | 8% |
| Student > Ph. D. Student | 8 | 8% |
| Student > Bachelor | 7 | 7% |
| Other | 14 | 14% |
| Unknown | 34 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 23% |
| Nursing and Health Professions | 9 | 9% |
| Psychology | 8 | 8% |
| Neuroscience | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 37 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2021.
All research outputs
#1,059,009
of 25,402,889 outputs
Outputs from BMC Geriatrics
#163
of 3,649 outputs
Outputs of similar age
#25,423
of 451,653 outputs
Outputs of similar age from BMC Geriatrics
#12
of 73 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,649 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 95% of its peers.
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