Evidence map›Paper›PMID 31558428›Full record

ArticleJournal of surgical education

Making the Jump: A Qualitative Analysis on the Transition From Bedside Assistant to Console Surgeon in Robotic Surgery Training.

Beiqun Zhao, Hannah M Hollandsworth, Arielle M Lee, Jenny Lam, Nicole E Lopez, Benjamin Abbadessa, Samuel Eisenstein, Bard C Cosman, Sonia L Ramamoorthy, Lisa A Parry

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of surgical education. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07618429 (Control Location Using Two Commands), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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.

NCT07618429 nanot yet recruitingnot on this map

Control Location Using Two Commands: Hand Versus Foot, Workload and Accuracy Response Trial: A Randomized Controlled Trial in Robotic Surgery Simulation

TypeinterventionalSponsorPrince of Songkla UniversityRan2026 to 2026Enrolled86ConditionsNo Disease or Condition is Being Studied, Surgical Procedures, Minimally InvasiveArmsHand Clutch, Foot Clutch
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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 at 1 institution in 1 country.

Beiqun ZhaoDepartment of Surgery, University of California San Diego, La Jolla, California. Electronic address: beiqunmzhao@gmail.com.
Hannah M HollandsworthDepartment of Surgery, University of California San Diego, La Jolla, California.
Arielle M LeeDepartment of Surgery, University of California San Diego, La Jolla, California.
Jenny LamDepartment of Surgery, University of California San Diego, La Jolla, California.
Nicole E LopezDepartment of Surgery, University of California San Diego, La Jolla, California.
Benjamin AbbadessaDepartment of Surgery, University of California San Diego, La Jolla, California.
Samuel EisensteinDepartment of Surgery, University of California San Diego, La Jolla, California.
Bard C CosmanDepartment of Surgery, University of California San Diego, La Jolla, California; Department of Surgery, VA San Diego Healthcare System, La Jolla, California.
Sonia L RamamoorthyDepartment of Surgery, University of California San Diego, La Jolla, California.
Lisa A ParryDepartment of Surgery, University of California San Diego, La Jolla, California; Department of Surgery, VA San Diego Healthcare System, La Jolla, California.
University of California, San Diego · US

Funding

San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

objectiveTo determine barriers associated with the transition from bedside assistant to console surgeon for general surgery residents in the era of robotic surgery in general surgery training.

designQualitative thematic analysis using one-on-one interviews of general surgery residents and attendings conducted between June 2018 and February 2019.

settingAn urban, academic, multihospital general surgery residency program with a robust robotic surgery program.

participantsConvenient and purposeful sampling was performed to ensure a variety of resident graduate-years and attending subspecialties were represented. Sample size was determined by data saturation, which occurred after 20 resident and 7 attending interviews.

resultsResidents identified the low volume of general surgery robotic cases, the infrequency of exposure to robotic surgery, and attending comfort with robotic surgery (and with teaching on the robot) as potential barriers in the transition from bedside assistant to console surgeon. Residents had to find a replacement bedside assistant in order to be the console surgeon, which was challenging. In addition, residents felt that the current culture surrounding robotic surgery is very hierarchal, limiting their exposure. Attendings' trust in the residents' console skills was a major determining factor in allowing residents on the console.

conclusionsMost robotic surgery education curricula are sequential, requiring the resident to progress from bedside assistant to console surgeon. Unfortunately, there are many potential barriers for residents in the transition from bedside assistant to console surgeon. Some barriers apply to general surgery training overall, but are amplified in robotic surgery, while others are unique to robotic surgery education. Recognition of, and rectifying, these barriers may increase resident participation as the console surgeon.

Indexed as

Internship and ResidencyRoboticsRobotic Surgical ProceduresSurgeonsCurriculumHumansbedside assistanteducationgeneral surgeryInterpersonal and Communication SkillsMedical KnowledgePatient Carequalitative analysisresidencyrobotic surgery

Identifiers

PMID31558428
PMCPMC7036000
OpenAlexW2975717265

What OpenQuestion holds

Textmetadata
LicenceTDM
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.