Evidence map›Paper›PMID 36755624›Full record

ArticleJournal of aging research2023

The Association between Delirium and In-Hospital Falls: A Cross-Sectional Analysis of a Delirium Screening Program.

Benjamin Kalivas, Jingwen Zhang, Kristine Harper, Meghan K Thomas, Jennifer Dulin, Justin Marsden, Patrick Robbins, Kelly J Hunt, Patrick D Mauldin, William P Moran and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of aging research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Five-decade prevalence of delirium in pneumonia, risk factors and associated mortality: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
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  11. Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2023
    Article
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

12 authors at 4 institutions in 1 country.

Benjamin KalivasDepartment of Medicine, Medical University of South Carolina, 135 Rutledge Avenue, MSC 591, Charleston, SC 29425, USA.ORCID https://orcid.org/0000-0002-6034-349X
Jingwen ZhangDepartment of Medicine, Medical University of South Carolina, 135 Rutledge Avenue, MSC 591, Charleston, SC 29425, USA.
Kristine HarperQuality Department, Medical University of South Carolina, 150 Ashley Avenue, MSC 585, Charleston, SC 29425, USA.
Meghan K ThomasDepartment of Medicine, Medical University of South Carolina, 135 Rutledge Avenue, MSC 591, Charleston, SC 29425, USA.ORCID https://orcid.org/0000-0003-3061-8787
Jennifer DulinDepartment of Internal Medicine, University of South Florida, 12901 Bruce B. Downs Blvd, Tampa, FL 33612, USA.
Justin MarsdenDepartment of Medicine, Medical University of South Carolina, 135 Rutledge Avenue, MSC 591, Charleston, SC 29425, USA.
Patrick RobbinsDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 12 Executive Park Drive NE, Atlanta, GA 30329, USA.
Kelly J HuntDepartment of Public Health, Medical University of South Carolina, 135 Cannon Street, Ste 303 MSC 835, Charleston, SC 29425, USA.ORCID https://orcid.org/0000-0001-8999-3587
Patrick D MauldinDepartment of Medicine, Medical University of South Carolina, 135 Rutledge Avenue, MSC 591, Charleston, SC 29425, USA.
William P MoranDepartment of Medicine, Medical University of South Carolina, 135 Rutledge Avenue, MSC 591, Charleston, SC 29425, USA.
James RudolphBrown University Department of Medicine, 593 Eddy Street, Providence, RI 02903, USA.ORCID https://orcid.org/0000-0002-0259-4362
Marc HeincelmanDepartment of Medicine, Medical University of South Carolina, 135 Rutledge Avenue, MSC 591, Charleston, SC 29425, USA.ORCID https://orcid.org/0000-0002-5891-1443
Medical University of South Carolina · USBrown University · USEmory University · USUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods: A cross-sectional study using delirium screening and falls reports was used to measure the association between delirium and falls. All inpatient data from August, 2018, to January, 2020, at a large academic medical center were analyzed. A multivariable logistic regression of 29,655 hospital admissions was used to understand the association between in-hospital delirium and falls. Results: Analysis revealed a delirium rate of 12.5% ( Conclusions: Delirium and falls are related. This strong association should motivate health systems to look closely at both problems. Falls and delirium can both have immense impacts on the patient and the health system. The powerful association between them provides a window to reduce these additional patient harms. More specifically, a modern delirium screening tool should be used as part of routine risk assessment focused on reducing in-hospital falls.

Identifiers

PMID36755624
PMCPMC9902156
OpenAlexW4318540883

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.