Evidence map›Paper›PMID 42192433›Full record

ArticleBMC health services research2026

Safe delivery of cold light to the endoscope during elective laparoscopic cholecystectomy: assessment of human factors.

Francesco Paolo Prete, Giuseppe Massimiliano De Luca, Giovanna Di Meo, Silvia Malerba, Alessandro Pasculli, Valeria Pastoressa, Arianna Pontrelli, Giuliana Rachele Puglisi, Lucia Ilaria Sgaramella, Carlotta Testini and 4 more

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Francesco Paolo PreteAcademic General Surgery Division "F. Paccione", Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari, Bari, Italy.
Giuseppe Massimiliano De LucaAcademic General Surgery Division "F. Paccione", Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari, Bari, Italy.
Giovanna Di MeoAcademic General Surgery Division "F. Paccione", Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari, Bari, Italy.
Silvia MalerbaAcademic General Surgery Division "F. Paccione", Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari, Bari, Italy.
Alessandro PasculliAcademic General Surgery Division "F. Paccione", Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari, Bari, Italy.
Valeria PastoressaAcademic General Surgery Division "F. Paccione", Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari, Bari, Italy.
Arianna PontrelliAcademic General Surgery Division "F. Paccione", Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari, Bari, Italy.
Giuliana Rachele PuglisiAcademic General Surgery Division "F. Paccione", Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari, Bari, Italy.
Lucia Ilaria SgaramellaAcademic General Surgery Division "F. Paccione", Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari, Bari, Italy. ilaria.sgaram@gmail.com.
Carlotta TestiniDepartment of Diagnostic Imaging, Division of Imaging Diagnostics, University of Bari, Bari, Italy.
Francesco VittoreAcademic General Surgery Division "F. Paccione", Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari, Bari, Italy.
Michele CovelliDepartment of Medicine, LUM University, Casamassima, Bari, Italy.
Marco TatulloDepartment of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari, Bari, Italy.
Mario TestiniAcademic General Surgery Division "F. Paccione", Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari, Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman factors are an important concern in the use-related hazards of medical devices, yet little research has been conducted on factors affecting performance of surgeons using the laparoscopic technology. Elements of a Xenon light chain, commonly used in laparoscopic surgery, may generate extremely high temperatures, capable of causing patient burns and fire ignition. To identify errors potentially compromising patients' safety in minimally invasive surgery, we conducted a proactive error analysis of the process for delivering light from a xenon generator to the tip of the endoscope during laparoscopic cholecystectomy.

methodsThe process under study was decomposed and re-mapped by means of hierarchical task analysis (HTA), combining complementary methods from the surgeons' and scrub nurses' perspectives. Systematic human error reduction and prediction analysis (SHERPA) was applied to HTA results. Problems and barriers to the performance of tasks, as factors contributing to errors, were examined with work system analysis based on direct procedural observations and face-to-face interviews with personnel.

resultsSHERPA showed 98 credible errors, two of which bearing potentially severe consequences for the patient. Remedy analysis recommended equipment modification, process redesign, standardization, checklists and training. Distracting noise was identified in the work systems analysis to be a commonly perceived problem during surgeries.

conclusionsRelying solely on predictive error analysis may miss critical contextual triggers for failure. Pairing SHERPA with qualitative work system observations may offer a richer picture of safety hazards in the operating theatre, identifying how context increases the probability of surgical errors. This hybrid methodology enables a shift from reactive training toward the design of inherently resilient surgical systems. Institutional Review Board (IRB) protocol n. 5234/17; Trial registration: Researchregistry3668 APPLICATION: To the best of our knowledge, this is the first study to describe a multi-methodological, quantitative and qualitative human factors approach to identifying threats to patient safety in a surgical process. The process design is analysed to identify latent task errors that may imply safety hazards; because organizational factors may influence surgical outcomes, the impact of workplace context factors is also assessed on the process design. The remedy analysis offers actionable solutions to task error solutions. The approach described in this study may provide detail-rich data and useful targets for designing effective safety or quality improvement initiatives.

Indexed as

Cholecystectomy, LaparoscopicEndoscopesElective Surgical ProceduresErgonomicsHumansMedical ErrorsPatient SafetyTask Performance and AnalysisXenonXenonCold lightHierarchical Task AnalysisHuman factorsLaparoscopic cholecystectomySystemic human error prediction analysisSystems engineering initiative for patient safety

Identifiers

PMID42192433
PMCPMC13356797

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.