Evidence map›Paper›PMID 34006313›Full record

ArticleInfectious diseases of poverty2021

The effectiveness of E-learning in continuing medical education for tuberculosis health workers: a quasi-experiment from China.

Zi-Yue Wang, Li-Jie Zhang, Yu-Hong Liu, Wei-Xi Jiang, Jing-Yun Jia, Sheng-Lan Tang, Xiao-Yun Liu

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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  18. E-Learning Success Model in the Context of COVID-19 Pandemic in Higher Educational Institutions.International journal of environmental research and public health · 2022
    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

7 authors at 4 institutions in 1 country.

Zi-Yue Wang *China Centre for Health Development Studies, Peking University, Beijing, 100191, China.
Li-Jie Zhang *Beijing Chest Hospital, Capital Medical University, No. 97 Ma Chang, Tongzhou, Beijing, 101149, China.
Yu-Hong LiuBeijing Chest Hospital, Capital Medical University, No. 97 Ma Chang, Tongzhou, Beijing, 101149, China.
Wei-Xi JiangGlobal Health Research Centre, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu, China.
Jing-Yun JiaSchool of Mathematical Science, Nankai University, No 94. Weijin Road, Tianjin, 300071, China.
Sheng-Lan TangGlobal Health Research Centre, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu, China.
Xiao-Yun LiuChina Centre for Health Development Studies, Peking University, Beijing, 100191, China. xiaoyunliu@pku.edu.cn.ORCID http://orcid.org/0000-0002-5483-0742
Capital Medical University · CNDuke Kunshan University · CNPeking University · CNNankai University · CN

Funding

Bill & Melinda Gates Foundation OPP1149395
6 · The paper itself

Abstract

backgroundGiven the context of rapid technological change and COIVD-19 pandemics, E-learning may provide a unique opportunity for addressing the challenges in traditional face-to-face continuing medical education (CME). However, the effectiveness of E-learning in CME interventions remains unclear. This study aims to evaluate whether E-learning training program can improve TB health personnel's knowledge and behaviour in China.

methodsThis study used a convergent mixed method research design to evaluate the impact of E-learning programs for tuberculosis (TB) health workers in terms of knowledge improvement and behaviour change during the China-Gates TB Project (add the time span). Quantitative data was collected by staff surveys (baseline n = 555; final n = 757) and management information systems to measure the demographic characteristics, training participation, and TB knowledge. Difference-in-difference (DID) and multiple linear regression models were employed to capture the effectiveness of knowledge improvement. Qualitative data was collected by interviews (n = 30) and focus group discussions (n = 44) with managers, teachers, and learners to explore their learning experience.

resultsSynchronous E-learning improved the knowledge of TB clinicians (average treatment effect, ATE: 7.3 scores/100, P = 0.026). Asynchronous E-learning has a significant impact on knowledge among primary care workers (ATE: 10.9/100, P < 0.001), but not in clinicians or public health physicians. Traditional face-to-face training has no significant impact on all medical staff. Most of the learners (57.3%) agreed that they could apply what they learned to their practice. Qualitative data revealed that high quality content is the key facilitator of the behaviour change, while of learning content difficulty, relevancy, and hardware constraints are key barriers.

conclusionsThe effectiveness of E-learning in CME varies across different types of training formats, organizational environment, and target audience. Although clinicians and primary care workers improved their knowledge by E-learning activities, public health physicians didn't benefit from the interventions.

Indexed as

Computer-Assisted InstructionTuberculosisChinaEducation, Medical, ContinuingHealth PersonnelHumansContinuing medical educationE-learningProgram evaluationTrainingTuberculosis

Identifiers

PMID34006313
PMCPMC8129609
OpenAlexW3111825702

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.