Evidence map›Paper›PMID 39264150›Full record

ArticleJournal of the American Geriatrics Society2024

Implementation of delirium screening in the emergency department: A qualitative study with early adopters.

Anita N Chary, Annika R Bhananker, Elise Brickhouse, Beatrice Torres, Ilianna Santangelo, Kyler M Godwin, Aanand D Naik, Christopher R Carpenter, Shan W Liu, Maura Kennedy

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Anita N CharyDepartment of Emergency Medicine, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-8839-7617
Annika R BhanankerCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, Texas, USA.
Elise BrickhouseSchool of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Beatrice TorresUniversity of Texas School of Public Health, UT Health Science Center, Houston, Texas, USA.
Ilianna SantangeloDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Kyler M GodwinDepartment of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Aanand D NaikCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, Texas, USA.
Christopher R CarpenterDepartment of Emergency Medicine, Mayo Medical Center, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-2603-7157
Shan W LiuDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Maura KennedyDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.

Funding

Geriatric Emergency care Applied Research network 2.0 - Advancing Dementia Care (GEAR 2.0 ADC)R61AG069822 · NIA · YALE UNIVERSITY · PI HWANG, ULA Y, SHAH, MANISH N · 2020 to 2021
$3.0M
Identifying Implementation Strategies for Emergency Department (ED) Delirium Screening in Older AdultsR03AG078943 · NIA · BAYLOR COLLEGE OF MEDICINE · PI CHARY, ANITA · 2022 to 2023
$320k
Baylor College of Medicine (Chao Physician-Scientist Award, Curtis Hankamer Basic Research Award)Houston Veterans Administration Health Services Research and Development Center for Innovations in Quality, Effectiveness, and Safety CIN13-413NIA NIH HHS R03 AG078943NIA NIH HHS R03AG078943NIA NIH HHS R61 AG069822NIA NIH HHS R61AG069822Society for Academic Emergency Medicine Foundation (GEMSSTAR Supplement Award)
6 · The paper itself

Abstract

introductionDelirium affects 15% of older adults presenting to emergency departments (EDs) but is detected in only one-third of cases. Evidence-based guidelines for ED delirium screening exist, but are underutilized. Frontline staff perceptions about delirium and time and resource constraints are known barriers to ED delirium screening uptake. Early adopters of ED delirium screening can offer valuable lessons about successful implementation.

methodsWe conducted semi-structured interviews with clinician-administrators leading ED delirium screening initiatives from 20 EDs in the United States and Canada. Interviews focused on experiences of planning and implementing ED delirium screening. Interviews lasted 15 to 50 minutes and were digitally recorded and transcribed. To identify factors that commonly impacted implementation of ED delirium screening, we used constructs from the Consolidated Framework for Implementation Research (CFIR), an Implementation Science framework widely used to evaluate healthcare improvement initiatives.

resultsOverall, notable facilitators of successful implementation were having institutional and ED leadership support and designated clinical champions to longitudinally engage and educate frontline staff. We found specific examples of factors affecting implementation drawn from the following seven CFIR constructs: (1) intervention complexity, (2) intervention adaptability, (3) external policies and incentives, (4) peer pressure from other institutions, (5) the implementation climate of the ED, (6) staff knowledge and beliefs, and (7) engaging deliverers of intervention, that is, frontline ED staff.

conclusionImplementing ED delirium screening is complex and requires institutional resources as well as clinical champions to engage frontline staff in a sustained fashion.

Indexed as

DeliriumEmergency Service, HospitalMass ScreeningQualitative ResearchAgedCanadaFemaleHumansInterviews as TopicMaleUnited Statesdeliriumemergency departmentimplementation sciencequalitativescreening

Identifiers

PMID39264150
PMCPMC11637951

What OpenQuestion holds

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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.