Evidence map›Paper›PMID 36471780›Full record

ArticleJournal of pathology informatics2023

Maintaining informatics training learning outcomes with a COVID-19 era shift to a fully online flipped course.

Heather T D Maness, Hesamedin Hakimjavadi, Srikar Chamala

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Heather T D ManessUFIT Center for Instructional Technology and Training, University of Florida, Gainesville, FL, USA.
Hesamedin HakimjavadiDepartment of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA.
Srikar ChamalaDepartment of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of the coronavirus disease 2019 pandemic forced us to adapt our recently developed informatics training serving a variety of students as well as faculty and staff. The successful flipped classroom course series (a hybrid-format with both asynchronous online learning and in-person synchronous components) was shifted to a fully online format with the synchronous portion now held via web-based video conference. We repeated our participant survey at the end of each of the 3 one-credit courses to compare student satisfaction and learning outcomes achievement to the original offering. The responses were overall very positive again with a slight response distribution improvement in some measures of satisfaction. Likewise, students reported similar achievement of the learning outcomes across all courses with some Unix coourse objectives receiving higher competency agreement in the new, fully online version. Overall, the fully online version of the course series was equally successful, if not more so, than the original version with a physical classroom session each week. Given that participants also had strong agreement with a new question that they would prefer online class meetings instead of in a classroom, even if there wasn't a global pandemic (citing a variety of logistical reasons such as "convenience of screen sharing," parking issues, and job-related time constraints), the fully online version of the informatics training will be retained.

Indexed as

CompetencyContinuing educationFlipped classroomGraduate medical educationInformaticsOnline learningPathologyResidency training

Identifiers

PMID36471780
PMCPMC9714185

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.