Evidence map›Paper›PMID 29355907›Full record

SynthesisThe Cochrane database of systematic reviews2018

E-learning for health professionals.

Alberto Vaona, Rita Banzi, Koren H Kwag, Giulio Rigon, Danilo Cereda, Valentina Pecoraro, Irene Tramacere, Lorenzo Moja

Registry-linked trialOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05520671 (Evaluating TESLA-G, a Gamified, Telegram-delivered, Quizzing Platform for Surgical Education in Medical Students), which is not on this map. Cited by 182 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
182citing papers in PubMed, 19 pooled it
35.3field-weighted citation impact, top 1% 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.

NCT05520671 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Evaluating TESLA-G, a Gamified, Telegram-delivered, Quizzing Platform for Surgical Education in Medical Students: a Protocol for a Pilot Randomised Controlled Trial

TypeinterventionalSponsorNanyang Technological UniversityRan2023 to 2023Enrolled50ConditionsSurgical Education in Medical StudentsArmsGamified online quizzing platform, Conventional quizzing platform
3 · Its place in the literature

Who cites it

182 citing papers in PubMed, 19 syntheses or guidelines pooled it, 418 citations in OpenAlex.

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122 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 2 countries.

Alberto VaonaPrimary Care, Azienda ULSS 20 - Verona, Ospedale di Marzana, Piazzale Ruggero Lambranzi 1, Verona, Italy, 37142.
Rita Banzi
Koren H Kwag
Giulio Rigon
Danilo Cereda
Valentina Pecoraro
Irene Tramacere
Lorenzo Moja
Mario Negri Institute for Pharmacological Research · ITUniversity of Verona · ITFondazione IRCCS Istituto Neurologico Carlo Besta · ITIstituto Ortopedico Galeazzi · ITMylan (Switzerland) · CHRegione Lombardia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of e-learning, defined as any educational intervention mediated electronically via the Internet, has steadily increased among health professionals worldwide. Several studies have attempted to measure the effects of e-learning in medical practice, which has often been associated with large positive effects when compared to no intervention and with small positive effects when compared with traditional learning (without access to e-learning). However, results are not conclusive.

objectivesTo assess the effects of e-learning programmes versus traditional learning in licensed health professionals for improving patient outcomes or health professionals' behaviours, skills and knowledge. SEARCH

methodsWe searched CENTRAL, MEDLINE, Embase, five other databases and three trial registers up to July 2016, without any restrictions based on language or status of publication. We examined the reference lists of the included studies and other relevant reviews. If necessary, we contacted the study authors to collect additional information on studies. SELECTION CRITERIA: Randomised trials assessing the effectiveness of e-learning versus traditional learning for health professionals. We excluded non-randomised trials and trials involving undergraduate health professionals. DATA COLLECTION AND ANALYSIS: Two authors independently selected studies, extracted data and assessed risk of bias. We graded the certainty of evidence for each outcome using the GRADE approach and standardised the outcome effects using relative risks (risk ratio (RR) or odds ratio (OR)) or standardised mean difference (SMD) when possible. MAIN

resultsWe included 16 randomised trials involving 5679 licensed health professionals (4759 mixed health professionals, 587 nurses, 300 doctors and 33 childcare health consultants).When compared with traditional learning at 12-month follow-up, low-certainty evidence suggests that e-learning may make little or no difference for the following patient outcomes: the proportion of patients with low-density lipoprotein (LDL) cholesterol of less than 100 mg/dL (adjusted difference 4.0%, 95% confidence interval (CI) -0.3 to 7.9, N = 6399 patients, 1 study) and the proportion with glycated haemoglobin level of less than 8% (adjusted difference 4.6%, 95% CI -1.5 to 9.8, 3114 patients, 1 study). At 3- to 12-month follow-up, low-certainty evidence indicates that e-learning may make little or no difference on the following behaviours in health professionals: screening for dyslipidaemia (OR 0.90, 95% CI 0.77 to 1.06, 6027 patients, 2 studies) and treatment for dyslipidaemia (OR 1.15, 95% CI 0.89 to 1.48, 5491 patients, 2 studies). It is uncertain whether e-learning improves or reduces health professionals' skills (2912 health professionals; 6 studies; very low-certainty evidence), and it may make little or no difference in health professionals' knowledge (3236 participants; 11 studies; low-certainty evidence).Due to the paucity of studies and data, we were unable to explore differences in effects across different subgroups. Owing to poor reporting, we were unable to collect sufficient information to complete a meaningful 'Risk of bias' assessment for most of the quality criteria. We evaluated the risk of bias as unclear for most studies, but we classified the largest trial as being at low risk of bias. Missing data represented a potential source of bias in several studies. AUTHORS'

conclusionsWhen compared to traditional learning, e-learning may make little or no difference in patient outcomes or health professionals' behaviours, skills or knowledge. Even if e-learning could be more successful than traditional learning in particular medical education settings, general claims of it as inherently more effective than traditional learning may be misleading.

Indexed as

InternetClinical CompetenceEducation, DistanceHealth PersonnelHumansRandomized Controlled Trials as Topic

Identifiers

PMID29355907
PMCPMC6491176
OpenAlexW1923682472

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.