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Cochrane Database of Systematic Reviews

E-learning for health professionals

Overview of attention for article published in Cochrane database of systematic reviews, January 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
98 tweeters

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
472 Mendeley
Title
E-learning for health professionals
Published in
Cochrane database of systematic reviews, January 2018
DOI 10.1002/14651858.cd011736.pub2
Pubmed ID
Authors

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

Abstract

The 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. To 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. We 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. 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. 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. We 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. When 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.

Twitter Demographics

The data shown below were collected from the profiles of 98 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 472 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 471 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 88 19%
Student > Bachelor 66 14%
Researcher 38 8%
Student > Postgraduate 29 6%
Student > Doctoral Student 29 6%
Other 104 22%
Unknown 118 25%
Readers by discipline Count As %
Medicine and Dentistry 148 31%
Nursing and Health Professions 79 17%
Social Sciences 24 5%
Computer Science 15 3%
Psychology 13 3%
Other 62 13%
Unknown 131 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 57. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2020.
All research outputs
#495,654
of 18,804,592 outputs
Outputs from Cochrane database of systematic reviews
#1,080
of 11,862 outputs
Outputs of similar age
#15,311
of 382,392 outputs
Outputs of similar age from Cochrane database of systematic reviews
#28
of 206 outputs
Altmetric has tracked 18,804,592 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,862 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 382,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.