Evidence map›Paper›PMID 40336091›Full record

ArticleBMC health services research2025

Delirium screening and alerting systems for older hospital inpatients.

Lakeshia Benn, Nirav Shah, Amy McKinney, Lillian Min, Ilyas Aleem, Matthew Luzum, Phillip E Vlisides

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lakeshia BennDepartment of Inpatient Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA.
Nirav ShahDepartment of Anesthesiology, University of Michigan Medical School, 1H247 UH, SPC-5048, 1500 East Medical Center Drive, MI, 48109-5048, Ann Arbor, USA.
Amy McKinneyDepartment of Anesthesiology, University of Michigan Medical School, 1H247 UH, SPC-5048, 1500 East Medical Center Drive, MI, 48109-5048, Ann Arbor, USA.
Lillian MinDepartment of Internal Medicine, Division of Geriatric & Palliative Medicine, Michigan Medicine, Ann Arbor, MI, USA.
Ilyas AleemDepartment of Orthopaedic Surgery, Michigan Medicine, Ann Arbor, MI, USA.
Matthew LuzumDepartment of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA.
Phillip E VlisidesDepartment of Anesthesiology, University of Michigan Medical School, 1H247 UH, SPC-5048, 1500 East Medical Center Drive, MI, 48109-5048, Ann Arbor, USA. pvliside@med.umich.edu.

Funding

Caffeine and Postoperative Neurocognitive RecoveryR01AG075005 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Phillip Eleas Vlisides · 2022 to 2026
$2.7M
NIA NIH HHS R01 AG075005NIA NIH HHS R01AG075005
6 · The paper itself

Abstract

backgroundDelirium often goes unrecognized in the hospital, leading to missed opportunities for management. The objective of this study was to test a multicomponent program for delirium screening and reporting for older, hospitalized adults.

methodsWe implemented a multicomponent delirium screening and alerting program within two university hospital units for all patients ≥ 70 years of age. The initiative compared performance of the 4 'A's Test, Nursing Delirium Screening Scale, and Confusion Assessment Method. Additionally, the study team provided recurrent educational sessions with nurses and implemented pager and electronic health record alerts for patients who screened positive for delirium. Nurses were then surveyed about their perspectives, and clinical outcomes were abstracted from the medical record.

resultsCompared to the Confusion Assessment Method, the proportion of positive screens was significantly higher (positive screens/admissions) with the 4 'A's Test (49/448, 11% vs. 12/399, 3%, p < 0.001) and the Nursing Delirium Screening Scale (83/539, 15% vs. 12/399, 3%, p < 0.001). Among surveyed nurses, 32/41 (78%) expressed that the alerting system provided at least "moderate" motivation to screen for delirium, and 35/41 (85%) voiced that it provided at least "moderate" motivation to record positive screens. Most respondents (23/42, 55%) reported recurrent educational sessions as "very helpful." Positive screens were associated with higher mortality (6.6% vs. 1.9%, p = 0.003), longer hospitalizations (13 [± 11] days vs. 7 [± 11], p < 0.001), and higher likelihood of discharge to care facilities (45% vs. 23%, p < 0.001).

conclusionsPositive delirium screening rates were higher with the 4AT and NuDesc compared to the CAM. Additionally, alerting systems and educational initiatives served as motivating factors for delirium screening and charting.

Indexed as

DeliriumGeriatric AssessmentInpatientsMass ScreeningAgedAged, 80 and overElectronic Health RecordsFemaleHospitals, UniversityHumansMaleDecision support (clinical)DeliriumEvaluation methodologyImplementation scienceQuality improvement

Identifiers

PMID40336091
PMCPMC12060402

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.