Evidence map›Paper›PMID 25412798›Full record

ArticleBMC medical education2014

Improving health Professional's knowledge of hepatitis B using cartoon based learning tools: a retrospective analysis of pre and post tests.

Moira G Sim, Ashleigh C McEvoy, Toni D Wain, Eric L Khong

Open access · goldAbstract readComparative StudyEvaluation Study
In one paragraph

Article in BMC medical education, 2014. 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
1.1field-weighted citation impact, top 23% of its field
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, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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

4 authors at 1 institution in 1 country.

Moira G Sim
Ashleigh C McEvoy
Toni D Wain
Eric L Khong
Edith Cowan University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis B serology is complex and a lack of knowledge in interpretation contributes to the inadequate levels of screening and referral for highly effective hepatitis antiviral treatments. This knowledge gap needs to be addressed so that current and future healthcare professionals are more confident in the detection and assessment of hepatitis B to improve the uptake of treatment and reduce long-term complications from the disease. Cartoons have been used effectively as a teaching tool in other settings and were considered as a potentially useful teaching aid in explaining hepatitis B serology. This study examines the impact of cartoons in improving healthcare professionals' knowledge.

methodsA cartoon based learning tool designed to simplify the complexities of hepatitis B serology was developed as part of an online learning program for medical practitioners, nurses and students in these professions. A retrospective analysis was carried out of pre and post online test results.

resultsAn average improvement of 96% of correct answers to case study questions in hepatitis B serology was found across all ten questions following the use of an online cartoon based learning tool.

conclusionThe data indicates a significant improvement of participants' knowledge of hepatitis B serology from pre-test to post-test immediately following an online cartoon based learning tool. However, further research is required to measure its long term impact.

Indexed as

Cartoons as TopicTeaching MaterialsAnalysis of VarianceComputer-Assisted InstructionEducational MeasurementEducation, MedicalEducation, ProfessionalFemaleHealth PersonnelHepatitis BHumansLearningLinear ModelsMaleRetrospective StudiesSerologic Tests

Identifiers

PMID25412798
PMCPMC4243383
OpenAlexW1967430564

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.