Evidence map›Paper›PMID 38373857›Full record

ArticleBMJ open2024

Formative evaluation of an emergency department clinical decision support system for agitation symptoms: a study protocol.

Ambrose H Wong, Bidisha Nath, Dhruvil Shah, Anusha Kumar, Morgan Brinker, Isaac V Faustino, Michael Boyce, James D Dziura, Rebekah Heckmann, Kimberly A Yonkers and 6 more

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04959279 (A Pilot Randomized Controlled Trial of ED-TREAT), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.6field-weighted citation impact, top 13% 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.

NCT04959279 nasuspendednot on this mapstarted 2026, after this paper: background citation

A Pilot Randomized Controlled Trial of ED-TREAT (Early Detection and Treatment to Reduce Events With Agitation Tool) Compared to Usual Care

TypeinterventionalSponsorYale UniversityRan2026 to 2026Enrolled26ConditionsPsychomotor Agitation, Behavioral DisorderArmsED-TREAT
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Barriers to and Facilitators of Technology Adoption in Emergency Departments: A Comprehensive Review.International journal of environmental research and public health · 2025
    Review
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

16 authors at 5 institutions in 1 country.

Ambrose H WongYale New Haven Health System, New Haven, Connecticut, USA wongambrose@gmail.com.ORCID 0000-0001-7471-1647
Bidisha NathDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Dhruvil ShahDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0009-0003-4120-451X
Anusha KumarDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0009-0008-2999-7410
Morgan BrinkerDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0009-0000-9989-3192
Isaac V FaustinoDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-7445-4265
Michael BoyceYale New Haven Health System, New Haven, Connecticut, USA.
James D DziuraDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Rebekah HeckmannYale New Haven Health System, New Haven, Connecticut, USA.
Kimberly A YonkersDepartment of Psychiatry, University of Massachusetts System, Worchester, Massachusetts, USA.
Steven L BernsteinDepartment of Emergency Medicine, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.ORCID 0000-0002-9964-7036
Karthik AdapaCarolina Health Informatics Program, University of North Carolina System, Chapel Hill, North Carolina, USA.ORCID 0000-0002-3970-588X
Richard Andrew TaylorYale New Haven Health System, New Haven, Connecticut, USA.
Polina OvchinnikovaDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
Terika McCallDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0002-8143-5393
Edward R MelnickYale New Haven Health System, New Haven, Connecticut, USA.ORCID 0000-0002-6509-9537
Yale University · USAnMed Health · USDartmouth College · USUniversity of Massachusetts System · USYale New Haven Health System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
System Dynamics Modeling to Promote Health in Management of AgitationR01MH132605 · NIMH · YALE UNIVERSITY · PI Rebekah Heckmann, Ambrose H Wong · 2024 to 2026
$2.2M
Clinical Decision Support Tool to Assess Risk and Prevent Agitation EventsK23MH126366 · NIMH · YALE UNIVERSITY · PI WONG, AMBROSE H · 2021 to 2024
$883k
NIA Short Term Research Training: Students in Health Professional SchoolsT35AG049685 · NIA · YALE UNIVERSITY · PI Sarwat I Chaudhry, Terri R. Fried · 2016 to 2026
$804k
NCATS NIH HHS UL1 TR001863NIA NIH HHS T35 AG049685NIMH NIH HHS K23 MH126366NIMH NIH HHS R01 MH132605
6 · The paper itself

Abstract

introductionThe burden of mental health-related visits to emergency departments (EDs) is growing, and agitation episodes are prevalent with such visits. Best practice guidance from experts recommends early assessment of at-risk populations and pre-emptive intervention using de-escalation techniques to prevent agitation. Time pressure, fluctuating work demands, and other systems-related factors pose challenges to efficient decision-making and adoption of best practice recommendations during an unfolding behavioural crisis. As such, we propose to design, develop and evaluate a computerised clinical decision support (CDS) system, Early Detection and Treatment to Reduce Events with Agitation Tool (ED-TREAT). We aim to identify patients at risk of agitation and guide ED clinicians through appropriate risk assessment and timely interventions to prevent agitation with a goal of minimising restraint use and improving patient experience and outcomes. METHODS AND ANALYSIS: This study describes the formative evaluation of the health record embedded CDS tool. Under aim 1, the study will collect qualitative data to design and develop ED-TREAT using a contextual design approach and an iterative user-centred design process. Participants will include potential CDS users, that is, ED physicians, nurses, technicians, as well as patients with lived experience of restraint use for behavioural crisis management during an ED visit. We will use purposive sampling to ensure the full spectrum of perspectives until we reach thematic saturation. Next, under aim 2, the study will conduct a pilot, randomised controlled trial of ED-TREAT at two adult ED sites in a regional health system in the Northeast USA to evaluate the feasibility, fidelity and bedside acceptability of ED-TREAT. We aim to recruit a total of at least 26 eligible subjects under the pilot trial. ETHICS AND DISSEMINATION: Ethical approval by the Yale University Human Investigation Committee was obtained in 2021 (HIC# 2000030893 and 2000030906). All participants will provide informed verbal consent prior to being enrolled in the study. Results will be disseminated through publications in open-access, peer-reviewed journals, via scientific presentations or through direct email notifications. TRIAL REGISTRATION NUMBER: NCT04959279; Pre-results.

Indexed as

Decision Support Systems, ClinicalAdultEmergency Service, HospitalHumansInformed ConsentRandomized Controlled Trials as TopicResearch DesignACCIDENT & EMERGENCY MEDICINEClinical TrialHealth informaticsInformation technologyMENTAL HEALTHPSYCHIATRY

Identifiers

PMID38373857
PMCPMC10882402
OpenAlexW4392303607

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.