The DOI matches its Crossref record.
Detection of delirium in the acute hospital
Abstract
SIR—Delirium remains a common, serious and under-recognised problem affecting older hospitalised patients. Despite being associated with poor longer-term outcomes, including death and institutionalisation [1], delirium remains disproportionately ignored relative to impact [2], and poor recognition remains the greatest obstacle to improved care and research [3]. It is ‘missed’ in up to two-thirds of cases [1]. Under detection of delirium may occur for a number of reasons; symptoms are heterogeneous and transient [1], and diagnosis is subjective relying on clinical skills in the absence of a diagnostic ‘test’ [2]. There is conflicting data on whether correct diagnosis is associated with demographic factors (male gender and older age [4]) or ethnicity [5]. Poorer English and education may decrease detection [6]. ‘Hypoactive’ delirium [7] with its less dramatic presentation and psychiatric co-morbidity may impede correct diagnosis, possibly through incorrect attribution of a psychiatric diagnosis [8, 9]. There is little published UK data, and previous work is limited by small numbers and under-reporting of co-morbid conditions [1]. We aimed to identify the patient characteristics associated with a correct detection of delirium in older patients with unplanned acute medical admissions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Bellelli, G., Morandi, A., Davis, D. H. J., Mazzola, P., Turco, R., Gentile, S., Ryan, T., Cash, H., Guerini, F., Torpilliesi, T., et al. (2014) · Age and Ageing · doi:10.1093/ageing/afu021 · Cited by 788
de la Cruz, M., Fan, J., Yennu, S., Tanco, K., Shin, S., Wu, J., Liu, D., & Bruera, E. (2015) · Supportive Care in Cancer · doi:10.1007/s00520-015-2610-3 · Cited by 152
Jackson, T. A., MacLullich, A. M. J., Gladman, J. R. F., Lord, J. M., & Sheehan, B. (2016) · Age and Ageing · doi:10.1093/ageing/afw064 · Cited by 66
Quality of clinical practice guidelines in delirium: a systematic appraisal
Bush, S. H., Marchington, K. L., Agar, M., Davis, D. H. J., Sikora, L., & Tsang, T. W. Y. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-013809 · Cited by 59
Metadata
- Authors
- Collins, N., Blanchard, M. R., Tookman, A., & Sampson, E. L.
- Venue
- Age and Ageing
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-11-16
- Volume
- 39
- Issue
- 1
- Pages
- 131-135
- ISSN
- 0002-0729 (ISSN-L)
- 1468-2834
- OpenAlex
- W2099541387
- Cited by
- 212
- References
- 0
- FWCI
- 2.97
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Detection of delirium in the acute hospital. https://app.cochat.ai/papers/10.1093/ageing/afp201
- The paper
- Collins, N., Blanchard, M. R., Tookman, A., & Sampson, E. L. (2010). Detection of delirium in the acute hospital. Age and Ageing. https://doi.org/10.1093/ageing/afp201
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.