Evidence map›Paper›PMID 36737091›Full record

ArticleBMJ open2023

Protocol for a scoping review on 'surgical sabermetrics:' technology-enhanced measurement of operative non-technical skills.

Emma Howie, Stephen J Wigmore, Roger Daglius Dias, Richard Skipworth, Steven Yule

Abstract read
In one paragraph

Article in BMJ open, 2023. 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

5 authors.

Emma HowieDivision of Clinical and Surgical Sciences, School of Surgery, The University of Edinburgh, Edinburgh, UK ehowie@ed.ac.uk.ORCID 0000-0003-1256-4295
Stephen J WigmoreDivision of Clinical and Surgical Sciences, School of Surgery, The University of Edinburgh, Edinburgh, UK.
Roger Daglius DiasSTRATUS Center for Medical Simulation, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Richard SkipworthDivision of Clinical and Surgical Sciences, School of Surgery, The University of Edinburgh, Edinburgh, UK.
Steven YuleDivision of Clinical and Surgical Sciences, School of Surgery, The University of Edinburgh, Edinburgh, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionSurgeons need high fidelity, high quality, objective, non-judgemental and quantitative feedback to measure their performance in order to optimise their performance and improve patient safety. This can be provided through surgical sabermetrics, defined as 'advanced analytics of digitally recorded surgical training and operative procedures to enhance insight, support professional development and optimise clinical and safety outcomes'. The aim of this scoping review is to investigate the assessment of surgeon's non-technical skills using sabermetrics principles, focusing on digital, automated measurements that do not require a human observer. METHODS AND ANALYSIS: To investigate the current methods of digital, automated measurements of surgeons' non-technical skills, a systematic scoping review will be conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines, using databases from medicine and other fields. Covidence software is used for screening of potential studies. A data extraction tool will be developed specifically for this study to evaluate the methods of measurement. Quality assurance will be assessed using Quality Assessment Tool for Diverse Designs. Multiple reviewers will be responsible for screening of studies and data extraction. ETHICS AND DISSEMINATION: This is a review study, not using primary data, and therefore, ethical approval is not required. A range of methods will be employed for dissemination of the results of this study, including publication in journals and conference presentations.

Indexed as

SurgeonsHumansResearch DesignScoping Reviews as TopicInformation technologySTATISTICS & RESEARCH METHODSSURGERY

Identifiers

PMID36737091
PMCPMC9899980

What OpenQuestion holds

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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.