Evidence map›Paper›PMID 34283034›Full record

ArticleJMIR mHealth and uHealth2021

Evaluating Quality, Usability, Evidence-Based Content, and Gamification Features in Mobile Learning Apps Designed to Teach Children Basic Life Support: Systematic Search in App Stores and Content Analysis.

Nino Fijačko, Ruth Masterson Creber, Lucija Gosak, Gregor Štiglic, Dominic Egan, Brian Chaka, Nika Debeljak, Matej Strnad, Pavel Skok

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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

9 authors at 3 institutions in 3 countries.

Nino Fijačko *Faculty of Health Sciences, University of Maribor, Maribor, Slovenia.ORCID 0000-0003-2722-0049
Ruth Masterson Creber *Healthcare Policy and Research, Division of Health Informatics, Weill Cornell Medicine, New York, NY, United States.ORCID 0000-0002-4238-9902
Lucija Gosak *Faculty of Health Sciences, University of Maribor, Maribor, Slovenia.ORCID 0000-0002-8742-6594
Gregor Štiglic *Faculty of Health Sciences, University of Maribor, Maribor, Slovenia.ORCID 0000-0002-0183-8679
Dominic Egan *School of Nursing and Healthcare Leadership, University of Bradford, Bradford, United Kingdom.ORCID 0000-0002-3139-8213
Brian Chaka *School of Allied Health Professions and Midwifery, University of Bradford, Bradford, United Kingdom.ORCID 0000-0001-7770-0388
Nika Debeljak *Faculty of Health Sciences, University of Maribor, Maribor, Slovenia.ORCID 0000-0001-5395-0016
Matej Strnad *Faculty of Medicine, University of Maribor, Maribor, Slovenia.ORCID 0000-0002-4505-557X
Pavel Skok *Faculty of Medicine, University of Maribor, Maribor, Slovenia.ORCID 0000-0003-2891-0295
University of Maribor · SIUniversity of Bradford · GBCornell University · US

Funding

Should we return patient reported outcomes to human subjects participants?-exploring ethical obligationsR00NR016275 · NINR · WEILL MEDICAL COLL OF CORNELL UNIV · PI MASTERSON CREBER, RUTH MARIE · 2018 to 2020
$896k
NINR NIH HHS R00 NR016275
6 · The paper itself

Abstract

backgroundGlobally, 3.7 million people die of sudden cardiac death annually. Following the World Health Organization endorsement of the Kids Save Lives statements, initiatives to train school-age children in basic life support (BLS) have been widespread. Mobile phone apps, combined with gamification, represent an opportunity for including mobile learning (m-learning) in teaching schoolchildren BLS as an additional teaching method; however, the quality of these apps is questionable.

objectiveThis study aims to systematically evaluate the quality, usability, evidence-based content, and gamification features (GFs) of commercially available m-learning apps for teaching guideline-directed BLS knowledge and skills to school-aged children.

methodsWe searched the Google Play Store and Apple iOS App Store using multiple terms (eg, cardiopulmonary resuscitation [CPR] or BLS). Apps meeting the inclusion criteria were evaluated by 15 emergency health care professionals using the user version of the Mobile Application Rating Scale and System Usability Scale. We modified a five-finger mnemonic for teaching schoolchildren BLS and reviewed the apps' BLS content using standardized criteria based on three CPR guidelines. GFs in the apps were evaluated using a gamification taxonomy.

resultsOf the 1207 potentially relevant apps, only 6 (0.49%) met the inclusion criteria. Most apps were excluded because the content was not related to teaching schoolchildren BLS. The mean total scores for the user version of the Mobile Application Rating Scale and System Usability Scale score were 3.2/5 points (95% CI 3.0-3.4) and 47.1/100 points (95% CI 42.1-52.1), respectively. Half of the apps taught hands-only CPR, whereas the other half also included ventilation. All the apps indicated when to start chest compressions, and only 1 app taught BLS using an automated external defibrillator. Gamification was well integrated into the m-learning apps for teaching schoolchildren BLS, whereas the personal and fictional, educational, and performance gamification groups represented most GFs.

conclusionsImproving the quality and usability of BLS content in apps and combining them with GFs can offer educators novel m-learning tools to teach schoolchildren BLS skills.

Indexed as

Mobile ApplicationsChildDelivery of Health CareHumansLearningbasic life supportcardiopulmonary resuscitationgamificationmobile learningmobile phoneschoolchildren

Identifiers

PMID34283034
PMCPMC8335615
OpenAlexW3185461219

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.