Evidence map›Paper›PMID 36522678›Full record

ArticleGlobal health research and policy2022

Implementation and evaluation of crowdsourcing in global health education.

Huanle Cai, Huiqiong Zheng, Jinghua Li, Chun Hao, Jing Gu, Jing Liao, Yuantao Hao

Abstract read
In one paragraph

Article in Global health research and policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Huanle CaiDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Huiqiong ZhengDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Jinghua LiDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Chun HaoDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Jing GuDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Jing LiaoDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan 2nd Road, Guangzhou, 510080, China. liaojing5@mail.sysu.edu.cn.ORCID 0000-0001-6370-3430
Yuantao HaoDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan 2nd Road, Guangzhou, 510080, China.

Funding

Higher Education Teaching Reform Project in Guangdong Province Guangdong Education High Letter [2020] No.20
6 · The paper itself

Abstract

backgroundCurrent global health course is most set as elective course taught in traditional teacher-taught model with low credit and short term. Innovate teaching models are required. Crowdsourcing characterized by high flexibility and strong application-orientation holds its potential to enhance global health education. We applied crowdsourcing to global health teaching for undergraduates, aiming to develop and evaluate a new teaching model for global health education.

methodsCrowdsourcing was implemented into traditional course-based teaching via introducing five COVID-19 related global health debates. Undergraduate students majoring in preventative medicine and nursing grouped in teams of 5-8, were asked to resolve these debates in reference to main content of the course and with manner they thought most effective to deliver the messages. Students' experience and teaching effect, were evaluated by questionnaires and teachers' ratings, respectively. McNemar's test was used to compare the difference in students' experience before and after the course, and regression models were used to explore the influencing factors of the teaching effect.

resultsA total of 172 undergraduates were included, of which 122 (71%) were females. Students' evaluation of the new teaching model improved after the course, but were polarized. Students' self-reported teaching effect averaged 67.53 ± 16.8 and the teachers' rating score averaged 90.84 ± 4.9. Students majoring in preventive medicine, participated in student union, spent more time on revision, and had positive feedback on the new teaching model tended to perform better.

conclusionWe innovatively implemented crowdsourcing into global health teaching, and found this new teaching model was positively received by undergraduate students with improved teaching effects. More studies are needed to optimize the implementation of crowdsourcing alike new methods into global health education, to enrich global health teaching models.

Indexed as

CrowdsourcingEducational StatusFemaleGlobal HealthHealth EducationHumansMaleStudentsCrowdsourcingEffect evaluationGlobal healthTeaching model

Identifiers

PMID36522678
PMCPMC9753011

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LicenceCC BY
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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.