Evidence map›Paper›PMID 36057612›Full record

Trial reportCritical care (London, England)2022

Discomfort improvement for critically ill patients using electronic relaxation devices: results of the cross-over randomized controlled trial E-CHOISIR (Electronic-CHOIce of a System for Intensive care Relaxation).

Lili Merliot-Gailhoustet, Chloé Raimbert, Océane Garnier, Julie Carr, Audrey De Jong, Nicolas Molinari, Samir Jaber, Gerald Chanques

Erratum issuedOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 5 pooled it
6.2field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 5 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Review
  11. Extended reality in anesthesia: a narrative review.Korean journal of anesthesiology · 2025
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Lili Merliot-GailhoustetDepartment of Anaesthesia & Critical Care Medicine, Saint Eloi Montpellier University Hospital, and PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France.
Chloé RaimbertDepartment of Anaesthesia & Critical Care Medicine, Saint Eloi Montpellier University Hospital, and PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France.
Océane GarnierDepartment of Anaesthesia & Critical Care Medicine, Saint Eloi Montpellier University Hospital, and PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France.
Julie CarrDepartment of Anaesthesia & Critical Care Medicine, Saint Eloi Montpellier University Hospital, and PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France.
Audrey De JongDepartment of Anaesthesia & Critical Care Medicine, Saint Eloi Montpellier University Hospital, and PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France.
Nicolas MolinariDepartment of Statistics, CNRS, Institut Montpelliérain Alexander Grothendieck (IMAG), University of Montpellier La Colombière Hospital, University of Montpellier, Montpellier, France.
Samir JaberDepartment of Anaesthesia & Critical Care Medicine, Saint Eloi Montpellier University Hospital, and PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France.
Gerald ChanquesDepartment of Anaesthesia & Critical Care Medicine, Saint Eloi Montpellier University Hospital, and PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France. gerald.chanques@umontpellier.fr.
Université de Montpellier · FRCentre National de la Recherche Scientifique · FRHôpital Saint Eloi · FRCentre Hospitalier Universitaire de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the impact of different electronic relaxation devices on common stressful patient symptoms experienced in intensive care unit (ICU).

methodsSixty critically ill patients were enrolled in four relaxation sessions using a randomized cross-over design: standard relaxation (TV/radio), music therapy (MUSIC-CARE©), and two virtual reality systems using either real motion pictures (DEEPSEN©) or synthetic motion pictures (HEALTHY-MIND©). The goal was to determine which device was the best to reduce overall patient discomfort intensity (0-10 Numeric Rating Scale (NRS); primary endpoint). Secondary endpoints were specific stressful symptoms (pain, anxiety, dyspnea, thirst, and lack of rest feeling) and stress response measured by Analgesia/Nociception Index (ANI). Multivariate mixed-effect analysis was used, taking into account patient characteristics and multiple measurements.

resultsFifty patients followed the full research protocol, and ten patients did at least one research planned session of relaxation. HEALTHY-MIND© was associated with a significant decrease in overall discomfort, the primary endpoint (median NRS = 4[2-6] vs. 2[0-5]; p = 0.01, mixed-effect model), accompanied by a significant decrease in stress response (increase in ANI, secondary endpoint; p < 0.01). Regarding other secondary endpoints, each of the two virtual reality systems was associated with a decrease in anxiety (p < 0.01), while HEALTHY-MIND© was associated also with a decrease in pain (p = 0.001) and DEEPSEN© with a decrease in lack of rest (p = 0.01). Three incidents (claustrophobia/dyspnea/agitation) were reported among 109 virtual reality sessions. Cybersickness was rare (NRS = 0[0-0]).

conclusionElectronic relaxation therapy is a promising, safe, and effective non-pharmacological solution that can be used to improve overall discomfort in alert and non-delirious ICU patients. Its effectiveness depends on technical characteristics (virtual reality using a synthetic imagined world versus a real world or music therapy alone without virtual reality), as well as the type of symptoms.

Indexed as

Critical CareCritical IllnessCross-Over StudiesDyspneaElectronicsHumansPainIntensive careMusic therapyNon-pharmacological therapiesSupportive careVirtual reality

Identifiers

PMID36057612
PMCPMC9440448
OpenAlexW4294397905

What OpenQuestion holds

Textmetadata
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.