Evidence map›Paper›PMID 30671668›Full record

ArticleSurgical endoscopy2019

Construct, content and face validity of the eoSim laparoscopic simulator on advanced suturing tasks.

Erik Leijte, Elke Arts, Bart Witteman, Jack Jakimowicz, Ivo De Blaauw, Sanne Botden

Abstract readMulticenter Study
In one paragraph

Article in Surgical endoscopy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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.

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.

  1. Trial
  2. Trial
  3. Observational
  4. A Novel 3D-Printed Mouse Model for Surgical Training: Multicenter Construct, Face, and Content Validation Study.Journal of the American Association for Laboratory Animal Science : JAALAS · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Development and Validation of a Homemade, Low-Cost Laparoscopic Simulator for Resident Surgeons (LABOT).International journal of environmental research and public health · 2020
    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

6 authors.

Erik LeijteDepartment of Paediatric Surgery, Radboud University Medical Centre - Amalia Children's Hospital, Nijmegen, The Netherlands. Erik.leijte@radboudumc.nl.ORCID 0000-0003-4014-1986
Elke ArtsDepartment of Paediatric Surgery, Radboud University Medical Centre - Amalia Children's Hospital, Nijmegen, The Netherlands.
Bart WittemanDepartment of Surgery, Rijnstate Hospital, Arnhem, The Netherlands.
Jack JakimowiczDepartment of Industrial Design, Technical University Delft, Delft, The Netherlands.
Ivo De BlaauwDepartment of Paediatric Surgery, Radboud University Medical Centre - Amalia Children's Hospital, Nijmegen, The Netherlands.
Sanne BotdenDepartment of Paediatric Surgery, Radboud University Medical Centre - Amalia Children's Hospital, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to validate the eoSim, an affordable and mobile inanimate laparoscopic simulator with instrument tracking capabilities, regarding face, content and construct validity on complex suturing tasks.

methodsParticipants recruited for this study were novices (no laparoscopic experience), target group for this training (surgical/gynaecologic/urologic residents, > 10 basic and < 20 advanced laparoscopic procedures) and experts (> 20 advanced laparoscopic procedures). Each participant performed the intracorporeal suturing exercise (Task 1), an upside down needle transfer (Task 2, developed for this study) and an anastomosis needle transfer (Task 3). Following, the participants completed a questionnaire regarding their demographics and opinion on the eoSim in terms of realism, didactic value and usability. Measured outcome parameters were time, distance, percentage of instrument tip off-screen, working area, speed, acceleration and smoothness.

resultsIn total, 104 participants completed the study, of which 60 novices, 31 residents and 13 experts. Face and content validity results showed a mean positive opinion on realism (3.9 Task 1, 3.6 Task 2 and 3.7 Task 3), didactic value (4.0, 3.4 and 3.7, respectively) and usability (4.2. 3.7 and 4.0, respectively). There were no significant differences in these outcomes between the specified expertise groups. Construct validity results showed significant differences between experts, target group or novices for Task 1 in terms of time (means 339, 607 and 1224 s, respectively, p < 0.001) and distance (means 8.1, 15.6 and 21.7 m, respectively, p < 0.001). Task 2 showed significant differences between groups regarding time (p < 0.001), distance (p 0.003), off-screen (p < 0.001) and working area (p < 0.001). Task 3 showed significant differences between groups, after subanalyses, on total number of stitches (p < 0.001), time per stitch (p < 0.001) and distance per stitch (p < 0.001).

conclusionsThe results of this study indicate that the eoSim is a potential meaningful and valuable simulator in the training of suturing tasks.

Indexed as

Clinical CompetenceComputer SimulationSuturesAdultEducation, Medical, GraduateFemaleGynecologic Surgical ProceduresHumansLaparoscopyNetherlandsReproducibility of ResultsSurveys and QuestionnairesUrologic Surgical ProceduresAugmented reality simulatorConstruct validityContent validityFace validityLaparoscopy trainingSimulation

Identifiers

PMID30671668
PMCPMC6795635

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.