Evidence map›Paper›PMID 34385234›Full record

Observational studyBMJ open2021

Feasibility of implementing

Aimee J Sarti, Katina Zheng, Christophe L Herry, Stephanie Sutherland, Nathan B Scales, Irene Watpool, Rebecca Porteous, Michael Hickey, Caitlin Anstee, Anna Fazekas and 4 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02988167 (Introducing and Evaluating Extubation AdvisorTM), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT02988167 completednot on this map

Introducing and Evaluating Extubation AdvisorTM: A Pilot Phase I Observational Study of a Novel Clinical Decision Support Tool to Improve Extubation Decision-making in the Intensive Care Unit

TypeobservationalSponsorOttawa Hospital Research InstituteRan2017 to 2018Enrolled121ConditionsIntubation
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

14 authors.

Aimee J SartiDepartment of Critical Care, Ottawa Hospital, Ottawa, Ontario, Canada asarti@toh.ca.
Katina ZhengMedicine, University of Ottawa Faculty of Medicine, Ottawa, Ontario, Canada.ORCID 0000-0003-3004-156X
Christophe L HerryOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Stephanie SutherlandDepartment of Critical Care, Ottawa Hospital, Ottawa, Ontario, Canada.
Nathan B ScalesOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Irene WatpoolOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Rebecca PorteousOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Michael HickeyDepartment of Medicine, Division of Critical Care, University of Toronto, Toronto, Ontario, Canada.
Caitlin AnsteeOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Anna FazekasOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Tim RamsayOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Karen Ea BurnsSt. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.
Andrew Je SeelyDepartment of Critical Care, Ottawa Hospital, Ottawa, Ontario, Canada.
Canadian Critical Care Trials Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAlthough spontaneous breathing trials (SBTs) are standard of care to extubation readiness, no tool exists that optimises prediction and standardises assessment. In this study, we evaluated the feasibility and clinical impressions of Extubation Advisor (EA), a comprehensive clinical extubation decision support (CDS) tool.

designPhase I mixed-methods observational study.

settingTwo Canadian intensive care units (ICUs).

participantsWe included patients on mechanical ventilation for ≥24 hours and clinicians (respiratory therapists and intensivists) responsible for extubation decisions.

interventionsComponents included a predictive model assessment, feasibility evaluation, questionnaires and interviews with clinicians.

resultsWe enrolled 117 patients, totalling 151 SBTs and 80 extubations. The incidence of extubation failure was 11% in low-risk patients and 21% in high-risk patients stratified by the predictive model; 38% failed extubation when both the model and clinical impression were at high risk. The tool was well rated: 94% and 75% rated the data entry and EA report as average or better, respectively. Interviews (n=15) revealed favourable impressions regarding its user interface and functionality, but unexpectedly, also concerns regarding EA's potential impact on respiratory therapists' job security.

conclusionsEA implementation was feasible, and users perceived it to have potential to support extubation decision-making. This study helps to understand bedside implementation of CDS tools in a multidisciplinary ICU. TRIAL REGISTRATION NUMBER: NCT02988167.

Indexed as

Airway ExtubationDecision Support Systems, ClinicalCanadaFeasibility StudiesHumansIntensive Care UnitsRespiration, ArtificialVentilator Weaningadult intensive & critical carequalitative researchrespiratory physiology

Identifiers

PMID34385234
PMCPMC8362728

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.