Evidence map›Paper›PMID 30747711›Full record

SynthesisJournal of medical Internet research2019

Mobile Digital Education for Health Professions: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration.

Gerard Dunleavy, Charoula Konstantia Nikolaou, Sokratis Nifakos, Rifat Atun, Gloria Chun Yi Law, Lorainne Tudor Car

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

Synthesis in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04961983 (A Comprehensive Travel Health Education Improving Attitude, Subjective Norm, Perceived Behavioral Control, Role Identity, Actual Behavioral Control, and Intention to Provide Travel Health Information of Tour Guides in Bali), which is not on this map. Cited by 76 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 15 pooled it
42.0field-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.

NCT04961983 naunknown statusnot on this mapstarted 2021, after this paper: background citation

A Comprehensive Travel Health Education Improving Attitude, Subjective Norm, Perceived Behavioral Control, Role Identity, Actual Behavioral Control, and Intention to Provide Travel Health Information of Tour Guides in Bali

TypeinterventionalSponsorUdayana UniversityRan2021 to 2022Enrolled152ConditionsBehavior, Health, Travel-Related IllnessArmsComprehensive Travel Health Education Model
3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 15 syntheses or guidelines pooled it, 181 citations in OpenAlex.

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

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

6 authors at 4 institutions in 5 countries.

Gerard DunleavyCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.ORCID 0000-0002-8356-3444
Charoula Konstantia NikolaouGraduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-6519-4174
Sokratis NifakosHealth Informatics Centre, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-2985-8169
Rifat AtunHarvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.ORCID 0000-0002-1531-5983
Gloria Chun Yi LawCentre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.ORCID 0000-0001-6531-2863
Lorainne Tudor CarFamily Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.ORCID 0000-0001-8414-7664
Nanyang Technological University · SGHarvard University · USKarolinska Institutet · SEThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a pressing need to implement efficient and cost-effective training to address the worldwide shortage of health professionals. Mobile digital education (mLearning) has been mooted as a potential solution to increase the delivery of health professions education as it offers the opportunity for wide access at low cost and flexibility with the portability of mobile devices. To better inform policy making, we need to determine the effectiveness of mLearning.

objectiveThe primary objective of this review was to evaluate the effectiveness of mLearning interventions for delivering health professions education in terms of learners' knowledge, skills, attitudes, and satisfaction.

methodsWe performed a systematic review of the effectiveness of mLearning in health professions education using standard Cochrane methodology. We searched 7 major bibliographic databases from January 1990 to August 2017 and included randomized controlled trials (RCTs) or cluster RCTs.

resultsA total of 29 studies, including 3175 learners, met the inclusion criteria. A total of 25 studies were RCTs and 4 were cluster RCTs. Interventions comprised tablet or smartphone apps, personal digital assistants, basic mobile phones, iPods, and Moving Picture Experts Group-1 audio layer 3 player devices to deliver learning content. A total of 20 studies assessed knowledge (n=2469) and compared mLearning or blended learning to traditional learning or another form of digital education. The pooled estimate of studies favored mLearning over traditional learning for knowledge (standardized mean difference [SMD]=0.43, 95% CI 0.05-0.80, N=11 studies, low-quality evidence). There was no difference between blended learning and traditional learning for knowledge (SMD=0.20, 95% CI -0.47 to 0.86, N=6 studies, low-quality evidence). A total of 14 studies assessed skills (n=1097) and compared mLearning or blended learning to traditional learning or another form of digital education. The pooled estimate of studies favored mLearning (SMD=1.12, 95% CI 0.56-1.69, N=5 studies, moderate quality evidence) and blended learning (SMD=1.06, 95% CI 0.09-2.03, N=7 studies, low-quality evidence) over traditional learning for skills. A total of 5 and 4 studies assessed attitudes (n=440) and satisfaction (n=327), respectively, with inconclusive findings reported for each outcome. The risk of bias was judged as high in 16 studies.

conclusionsThe evidence base suggests that mLearning is as effective as traditional learning or possibly more so. Although acknowledging the heterogeneity among the studies, this synthesis provides encouraging early evidence to strengthen efforts aimed at expanding health professions education using mobile devices in order to help tackle the global shortage of health professionals.

Indexed as

Cell PhoneHealth EducationHealth PersonnelHumansLearningdigital educationhealth workforcemeta-analysismLearningsystematic review

Identifiers

PMID30747711
PMCPMC6390189
OpenAlexW2909190492

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.