Evidence map›Paper›PMID 29270257›Full record

SynthesisJournal of graduate medical education2017

Crowdsourcing in Surgical Skills Acquisition: A Developing Technology in Surgical Education.

Jessica C Dai, Thomas S Lendvay, Mathew D Sorensen

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of graduate medical education, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. A Shift in Medical Education During the COVID-19 Pandemic.Advances in experimental medicine and biology · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Novel evaluation of surgical activity recognition models using task-based efficiency metrics.International journal of computer assisted radiology and surgery · 2019
    Article
  14. 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

3 authors.

Jessica C Dai
Thomas S Lendvay
Mathew D Sorensen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe application of crowdsourcing to surgical education is a recent phenomenon and adds to increasing demands on surgical residency training. The efficacy, range, and scope of this technology for surgical education remains incompletely defined.

objectiveA systematic review was performed using the PubMed database of English-language literature on crowdsourced evaluation of surgical technical tasks up to April 2017.

methodsArticles were reviewed, abstracted, and analyzed, and were assessed for quality using the Medical Education Research Study Quality Instrument (MERSQI). Articles were evaluated with eligibility criteria for inclusion. Study information, performance task, subjects, evaluative standards, crowdworker compensation, time to response, and correlation between crowd and expert or standard evaluations were abstracted and analyzed.

resultsOf 63 unique publications initially identified, 13 with MERSQI scores ranging from 10 to 13 (mean = 11.85) were included in the review. Overall, crowd and expert evaluations demonstrated good to excellent correlation across a wide range of tasks (Pearson's coefficient 0.59-0.95, Cronbach's alpha 0.32-0.92), with 1 exception being a study involving medical students. There was a wide range of reported interrater variability among experts. Nonexpert evaluation was consistently quicker than expert evaluation (ranging from 4.8 to 150.9 times faster), and was more cost effective.

conclusionsCrowdsourced feedback appears to be comparable to expert feedback and is cost effective and efficient. Further work is needed to increase consistency in expert evaluations, to explore sources of discrepant assessments between surgeons and crowds, and to identify optimal populations and novel applications for this technology.

Indexed as

Clinical CompetenceCrowdsourcingEducation, Medical, GraduateGeneral SurgeryHumansInternship and Residency

Identifiers

PMID29270257
PMCPMC5734322

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.