Evidence map›Paper›PMID 38013870›Full record

ArticleGlobal surgical education : journal of the Association for Surgical Education2023

Taking advantage of asynchronous digital feedback: development of an at-home basic suture skills training program for undergraduate medical students that facilitates skills retention.

Francisca Belmar, María Inés Gaete, Valentina Durán, Slavka Chelebifski, Cristián Jarry, Catalina Ortiz, Gabriel Escalona, Ignacio Villagrán, Adnan Alseidi, Elga Zamorano and 3 more

Abstract read
In one paragraph

Article in Global surgical education : journal of the Association for Surgical Education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

13 authors.

Francisca BelmarExperimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Marcoleta 377, 2nd floor, 8330024 Santiago, Chile.
María Inés GaeteExperimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Marcoleta 377, 2nd floor, 8330024 Santiago, Chile.
Valentina DuránExperimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Marcoleta 377, 2nd floor, 8330024 Santiago, Chile.
Slavka ChelebifskiExperimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Marcoleta 377, 2nd floor, 8330024 Santiago, Chile.
Cristián JarryExperimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Marcoleta 377, 2nd floor, 8330024 Santiago, Chile.
Catalina OrtizExperimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Marcoleta 377, 2nd floor, 8330024 Santiago, Chile.
Gabriel EscalonaExperimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Marcoleta 377, 2nd floor, 8330024 Santiago, Chile.
Ignacio VillagránExperimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Marcoleta 377, 2nd floor, 8330024 Santiago, Chile.
Adnan AlseidiDepartment of Surgery, University of California San Francisco, San Francisco, CA USA.
Elga ZamoranoExperimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Marcoleta 377, 2nd floor, 8330024 Santiago, Chile.
Fernando PimentelDepartment of Digestive Surgery, Catholic University of Chile, Santiago, Chile.
Fernando CrovariDepartment of Digestive Surgery, Catholic University of Chile, Santiago, Chile.
Julián VarasExperimental Surgery and Simulation Center, Department of Digestive Surgery, Catholic University of Chile, Marcoleta 377, 2nd floor, 8330024 Santiago, Chile.ORCID 0000-0002-5828-9623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To date, there are no training programs for basic suturing that allow remote deliberate practice. This study seeks to evaluate the effectiveness of a basic suture skills training program and its 6-month skill retention applying unsupervised practice and remote digital feedback. Methods: Fourth-year medical-student trainees reviewed instructional videos from a digital platform and performed unsupervised practice as needed at their homes. When they felt competent, trainees uploaded a video of themselves practicing the skill. In < 72 h, they received expert asynchronous digital feedback. The course had two theoretical stages and five video-based assessments, where trainees performed different suturing exercises. For the assessment, a global (GRS) and specific rating scale (SRS) were used, with a passing score of 20 points (max:25) and 15 (max:20), respectively. Results were compared to previously published work with in-person expert feedback (EF) and video-guided learning without feedback (VGL). A subgroup of trainees underwent a 6-month skills retention assessment. Results: Two-hundred and forty-three trainees underwent the course between March and December 2021. A median GRS of 24 points was achieved in the final assessment, showing significantly higher scores ( Conclusion: It is feasible to teach basic suture skills to undergraduate medical students using an unsupervised training course with remote and asynchronous feedback through a digital platform. This methodology allows continuous training with the repetition of quality practice, personalized feedback, and skills retention at 6 months.

Indexed as

Basic suture skillsDistance-based simulationMedicine studentsSimulation

Identifiers

PMID38013870
PMCPMC9900196

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.