Evidence map›Paper›PMID 35967964›Full record

ArticleJSLS : Journal of the Society of Laparoendoscopic Surgeons

Protocolized Training of Advanced Practice Providers for Robotic Surgery Improves the Quality of Intraoperative Assistance.

David A Santos, Liangliang Zhang, Angela R Limmer, Heather M Gibson, Caleb Minetree, Stacia H Gollihar, Jenilette V Cristo, Celia R Ledet, Hop S Tran Cao

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In one paragraph

Article in JSLS : Journal of the Society of Laparoendoscopic Surgeons. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

David A SantosDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Liangliang ZhangDepartment of Population and Quantitative Health Science, School of Medicine, Case Western Reserve University, Cleveland, Ohio.
Angela R LimmerDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Heather M GibsonDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Caleb MinetreeDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Stacia H GolliharDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jenilette V CristoDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Celia R LedetDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Hop S Tran CaoDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe expansion of robotic surgery requires identifying factors of competent robotic bedside assisting. Surgical trainees desire more robotic console time, and we hypothesized that protocolized robotic surgery bedside training could equip Advanced Practice Providers (APPs) to meet this growing need. No standardized precedent exists for training APPs.

methodsWe designed a pilot study consisting of didactic and clinical skills. APPs completed didactic tests followed by proctored clinical skills checklists intraoperatively. Operating surgeons scored trainees with 10-point Likert scale (< 5 not confident, > 5 = confident). APPs scoring > 5 advanced to a solo practicum. Competence was defined as: didactic test score > 75

resultsOf 10 APP trainees, 5 passed on initial attempt. After individualized development plans, 4 passed retesting. Differences in trainee factors were not statistically significant, but the probability of passing the practicum was < 50% if more than four checklists were needed.

conclusionsClinical experience, not didactic knowledge, determines the probability of intraoperative competence. Increasing clinical proctoring did not result in higher probability of competence. Early identification of APPs needing individualized improvement increases the proportion of competent APPs.

Indexed as

RoboticsRobotic Surgical ProceduresBayes TheoremClinical CompetenceHumansPilot ProjectsAdvanced practice providersRobotic surgeryTraining

Identifiers

PMID35967964
PMCPMC9355795

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Registered trials

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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.