Evidence map›Paper›PMID 37147465›Full record

Observational studyObesity surgery2023

Identifying Workflow Disruptions in Robotic-Assisted Bariatric Surgery: Elucidating Challenges Experienced by Surgical Teams.

Jennifer Zamudio, Falisha F Kanji, Connor Lusk, Daniel Shouhed, Barry R Sanchez, Ken Catchpole, Jennifer T Anger, Tara N Cohen

Abstract readObservational Study
In one paragraph

Observational study in Obesity surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. 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

8 authors.

Jennifer ZamudioDepartment of Surgery, Cedars-Sinai Medical Center, 6500 Wilshire Blvd, Los Angeles, CA, 90048, USA. zam.jen@hotmail.com.ORCID http://orcid.org/0000-0003-2030-7969
Falisha F KanjiDepartment of Surgery, Cedars-Sinai Medical Center, 6500 Wilshire Blvd, Los Angeles, CA, 90048, USA.
Connor LuskDepartment of Anesthesia and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, 29425, USA.
Daniel ShouhedDepartment of Surgery, Cedars-Sinai Medical Center, 436 N Bedford Dr Suite 311, Beverly Hills, CA, 90210, USA.
Barry R SanchezDepartment of Surgery, Ventura County Medical Center, 300 Hillmont Ave, Ventura, CA, 93003, USA.
Ken CatchpoleDepartment of Anesthesia and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, 29425, USA.
Jennifer T AngerDepartment of Urology, University of California San Diego, 9400 Campus Point Drive #7897, La Jolla, CA, 92037, USA.
Tara N CohenDepartment of Surgery, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA.

Funding

Human Factors and Systems Integration in High Technology Surgery (HF-SIgHTS)R01HS026491 · AHRQ · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ANGER, JENNIFER TASH, CATCHPOLE, KEN · 2018 to 2022
$2.0M
6 · The paper itself

Abstract

purposeBariatric surgery is an effective and durable treatment for weight loss for patients with extreme obesity. Although traditionally approached laparoscopically, robotic bariatric surgery (RBS) has unique benefits for both surgeons and patients. Nonetheless, the technological complexity of robotic surgery presents new challenges for OR teams and the wider clinical system. Further assessment of the role of RBS in delivering quality care for patients with obesity is necessary and can be done through a human factors approach. This observational study sought to investigate the impact of RBS on the surgical work system via the study of flow disruptions (FDs), or deviations from the natural workflow progression. MATERIALS AND

methodsRBS procedures were observed between October 2019 and March 2022. FDs were recorded in real time and subsequently classified into one of nine work system categories. Coordination FDs were further classified into additional sub-categories.

resultsTwenty-nine RBS procedures were observed at three sites. An average FD rate of 25.05 (CI =  ± 2.77) was observed overall. FDs were highest between insufflation and robot docking (M = 29.37, CI =  ± 4.01) and between patient closing and wheels out (M = 30.00, CI =  ± 6.03). FD rates due to coordination issues were highest overall, occurring once every 4 min during docking (M = 14.28, CI =  ± 3.11).

conclusionFDs occur roughly once every 2.4 min and happen most frequently during the final patient transfer and robot docking phases of RBS. Coordination challenges associated with waiting for staff/instruments not readily available and readjusting equipment contributed most to these disruptions.

Indexed as

Bariatric SurgeryObesity, MorbidRobotic Surgical ProceduresHumansObesityWorkflowBariatricFlow disruptionRobotic-assisted surgeryRobotic bariatric surgery

Identifiers

PMID37147465
PMCPMC10162850

What OpenQuestion holds

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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.