Evidence map›Paper›PMID 32875908›Full record

ArticleGlobal spine journal2021

Blended Learning Is a Feasible and Effective Tool for Basic Pediatric Spinal Deformity Training.

Alpaslan Senkoylu, Berkay Senkoylu, Irem Budakoglu, Özlem Coskun, Emre Acaroglu

Abstract read
In one paragraph

Article in Global spine journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. The Efficacy of Blended Learning in a Pediatric Spine Deformity Management Program in Sub-Saharan Africa.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2023
    Article
  2. 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

5 authors.

Alpaslan SenkoyluDistance Education Institute, de-institute.com/moodle30.
Berkay SenkoyluDistance Education Institute, de-institute.com/moodle30.ORCID https://orcid.org/0000-0001-5125-2329
Irem Budakoglu37511Gazi University, Ankara, Turkey.
Özlem Coskun37511Gazi University, Ankara, Turkey.
Emre AcarogluDistance Education Institute, de-institute.com/moodle30.ORCID https://orcid.org/0000-0002-8163-2944

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designDescriptive study.

objectiveAssessing the applicability of blended learning to specific domains of spine surgery.

methodsAfter the needs assessment, a blended pediatric spine deformity course program was designed. A total of 33 participants, including orthopedic and neurosurgeons, registered for the course and all of them completed an online entrance quiz. Thus, they were eligible to have online part of course, which included the theoretical part of the course and also a discussion forum where the discussions about the topics facilitated by faculty. Thirteen of 33 subjects participated second part of the blended pediatric spine deformity course. This face-to-face (F2F) part consisted of case discussions for each topic and discussions facilitated by faculty members. The same quiz was also taken before and after the F2F part. All quiz results were compared statistically.

resultsThere were 11 lectures within the online part and 6 case discussions in the F2F part. The quiz scores were improved significantly by having a complete blended pediatric deformity course (

conclusionsThe current study has demonstrated that blended learning format, including online and F2F, is feasible and effective in training for a domain of spine surgery, pediatric deformity in this specific context.

Indexed as

blended learninge-learningpostgraduate educationspine surgery

Identifiers

PMID32875908
PMCPMC7882832

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.