Evidence map›Paper›PMID 36726713›Full record

ArticleATS scholar2022

Development and Evaluation of an Intensive Care Unit Video Series to Educate Staff on Delirium Detection.

Biren B Kamdar, Hirsh Makhija, Shannon A Cotton, Janelle Fine, Daniel Pollack, Paola Alicea Reyes, Francesca Novelli, Atul Malhotra, Dale M Needham, Jennifer L Martin

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in ATS scholar, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07759310 (Evaluation of the Effectiveness of the ICU Delirium Playbook in Nursing Education), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% 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.

NCT07759310 narecruitingnot on this mapstarted 2025, after this paper: background citation

Evaluation of the Effectiveness of the ICU Delirium Playbook in Nursing Education: A Pre-Post Study in the ICUs of the Pisa University Hospital

TypeinterventionalSponsorNicola PagnucciRan2025 to 2026Enrolled60ConditionsNursing Education, Delirium Confusional State, ICUArmsICU Delirium PlayBook educational program
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Video-based Detection of Delirium in Hospitalized Adults.medRxiv : the preprint server for health sciences · 2026
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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

10 authors at 7 institutions in 2 countries.

Biren B KamdarDivision of Pulmonary, Critical Care and Sleep Medicine.ORCID https://orcid.org/0000-0002-9245-6229
Hirsh MakhijaDivision of Pulmonary, Critical Care and Sleep Medicine.
Shannon A CottonNursing Education & Development Research Department, University of California San Diego Health, and.
Janelle FineDivision of Pulmonary, Critical Care and Sleep Medicine.
Daniel PollackNursing Education & Development Research Department, University of California San Diego Health, and.
Paola Alicea ReyesSchool of Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico.
Francesca NovelliNursing Education & Development Research Department, University of California San Diego Health, and.
Atul MalhotraDivision of Pulmonary, Critical Care and Sleep Medicine.ORCID https://orcid.org/0000-0002-9509-1827
Dale M NeedhamDivision of Pulmonary & Critical Care Medicine, Department of Physical Medicine and Rehabilitation, School of Medicine, and.ORCID https://orcid.org/0000-0002-9538-0557
Jennifer L MartinGreater Los Angeles Veteran Affairs Healthcare System, Geriatric Research, Education and Clinical Center, Los Angeles, California; and.ORCID https://orcid.org/0000-0003-0849-3391
SleepMed · USUniversity of California San Diego · USJohns Hopkins University · USOregon Health & Science University · USUniversity of California, Los Angeles · USUniversity of California System · USUniversity of Puerto Rico, Medical Sciences Campus · PR

Funding

Multicomponent intervention to improve delirium and sleep-wake rhythms in older ICU patientsK76AG059936 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KAMDAR, BIREN BHARAT · 2018 to 2022
$1.4M
NIA NIH HHS K76 AG059936
6 · The paper itself

Abstract

Background: Delirium affects up to 80% of patients who are mechanically ventilated in the intensive care unit (ICU) but often goes undetected because of incomplete and/or inaccurate clinician evaluation and documentation. A lack of effective, feasible, and sustainable educational methods represents a key barrier to efforts to optimize, scale, and sustain delirium detection competencies. Progress with such barriers may be addressed with asynchronous video-based education. Objective: To evaluate a novel ICU Delirium Video Series for bedside providers via a knowledge assessment quiz and a feedback questionnaire. Methods: An interdisciplinary team scripted and filmed an educational ICU Delirium Video Series, providing detailed instruction on delirium detection using the validated CAM-ICU (Confusion Assessment Method for the ICU). A cohort of bedside nurses subsequently viewed and evaluated the ICU Delirium Video Series using a feedback questionnaire and a previously developed knowledge assessment quiz pre- and post-video viewing. Results: Twenty nurses from four ICUs viewed the ICU Delirium Video Series and completed the pre-post quiz and questionnaire. Ten (50%) respondents had 10 or more years of ICU experience, and seven (35%) reported receiving no CAM-ICU education locally. After video viewing, overall pre-post scores improved significantly (66% vs. 79%; Conclusion: Viewing the ICU Delirium Video Series resulted in significant improvements in knowledge and yielded valuable feedback. Asynchronous video-based delirium education can improve knowledge surrounding a key bedside competency.

Indexed as

critical caredeliriumearly diagnosiseducationintensive care unit

Identifiers

PMID36726713
PMCPMC9885989
OpenAlexW4297037706

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.