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Record W4413821620 · doi:10.2196/67623

Exploring the Impact of Home-Based Serious Smartphone Resuscitation Gaming on Stress Among Nursing Students Practicing Simulated Adult Basic Life Support: Randomized Waitlist Controlled Trial

2025· article· en· W4413821620 on OpenAlexvenueno aff
Nino Fijačko, Benjamin S. Abella, Špela Metličar, Leon Kopitar, Robert Greif, Gregor Štiglic, Pavel Skok, Matej Strnad

Bibliographic record

VenueJMIR Serious Games · 2025
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsnot available
FundersJavna Agencija za Raziskovalno Dejavnost RS
KeywordsRandomized controlled trialNursingStress (linguistics)MedicineBasic life supportPhysical therapyResuscitationPsychologyCardiopulmonary resuscitationEmergency medicine

Abstract

fetched live from OpenAlex

Background: Simulation-based training is widely used in resuscitation education, yet limited research exists on how serious smartphone games-especially when used independently at home-impact stress levels during simulated adult basic life support (BLS). Understanding this relationship may offer new approaches to preparing health care students for high-stress clinical situations. Objective: This study aimed to evaluate the impact of a home-based serious resuscitation game, MOBICPR, on physiological stress markers among nursing students performing simulated adult BLS. Methods: In this single-center, randomized, waitlist controlled trial, 43 first-year nursing students were assigned to either an intervention group (IG) or a waitlist control group (WL-CG). Stress was measured at baseline and 2-week and 4-week follow-ups using electrodermal activity (EDA), blood volume pulse (BVP), heart rate (HR), and body temperature (BT) collected via the Empatica E4 wearable (Empatica Inc., USA). Each data collection point included 3 phases: mandala coloring before and after simulated adult BLS performance, and the adult BLS scenario itself. The MOBICPR game-a serious mobile game designed per the 2021 European Resuscitation Council adult BLS guidelines-was played at home over 2 weeks by IG (weeks 0-2) and WL-CG (weeks 2-4). A random forest classifier, trained on the AffectiveRoad dataset, predicted stress levels (none, moderate, and high) based on physiological signals. Results: Of 124 students invited, 43 participated (22 in IG, 21 in WL-CG; 38/43, 88% female; mean age of 19, SD 0.6 years). EDA, BVP, and BT significantly changed across measurement phases in both groups (P<.05), while HR did not show consistent differences (P>.05). Stress classification showed a significant decrease in stress after simulated adult BLS in the IG at the 2-week follow-up (P=.04), but not in the WL-CG. After 2 weeks of gameplay, 12 of 22 participants in the IG had lower stress levels after performing simulated adult BLS compared to before, suggesting an adaptive stress response. No significant group-level stress reductions were observed over time. Conclusions: Short-term, home-based gameplay using a serious resuscitation game modestly influenced physiological indicators of stress during simulated adult BLS among nursing students. While overall group stress levels remained stable, individualized responses suggested improved coping for some. Incorporating serious games into curricula could offer learners safe, gamified environments to rehearse stressful clinical scenarios. Future research should explore optimal game frequency and content depth to maximize educational and emotional resilience outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.394
Teacher spread0.359 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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