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Record W4411335898 · doi:10.2196/65311

The Effects of Virtual Reality on Hope and Travel Expectations in Healthy and Hospitalized Children: Quasi-Experimental Design Approach

2025· article· en· W4411335898 on OpenAlexvenueno aff
Pei-Shan Hsieh, Hsiu‐Sen Chiang, Fang‐Liang Huang

Bibliographic record

VenueInteractive Journal of Medical Research · 2025
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVirtual realityIntervention (counseling)Significant differenceMean differencePhysical therapyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Background: Virtual reality (VR) has become a powerful tool for enhancing the experiences of patients with critical illnesses, particularly hospitalized children with leukemia. Since traveling is nearly impossible for them, St Jude has teamed up with the travel company Expedia to launch "Dream Adventures," a pilot program that offers immersive VR experiences, allowing children to explore new destinations from the comfort of the hospital. Objective: The aim of this study was to evaluate the pleasurable experience of VR and its impact on healthy and hospitalized children's travel expectations and hope by using electrocardiography (ECG) and questionnaires to enhance research objectivity. Methods: Participants were children aged 7-18 years, divided into 2 distinct groups: 30 healthy children and 18 hospitalized children with leukemia. Both groups received the same VR intervention and were assessed using a 1-group pretest-posttest design. The questionnaires were designed to assess differences in the children's sense of hope and travel expectations, and their physiological data were collected through ECG. Results: The results indicated a statistically significant increase in hope levels from pre-VR to post-VR intervention in both healthy children (preintervention: mean 5.83, SD 0.87; postintervention: mean 6.36, SD 0.76; P=.002) and hospitalized children (preintervention: mean 5.51, SD 1.17; postintervention: mean 5.73, SD 1.15; P=.03), as determined by paired samples 2-tailed t tests. Furthermore, an independent samples 2-tailed t test revealed a significant difference in postintervention hope levels between the hospitalized children (mean 5.73, SD 1.15) and healthy children (mean 6.36, SD 0.76; P=.05). Then, we further compared the mean differences in hope scores from preintervention to postintervention. Healthy children demonstrated a greater increase (an increase of 0.53, from 5.83 to 6.36) than the hospitalized children (an increase of 0.22, from 5.51 to 5.73). In terms of physiological responses, ECG indicators such as SD of all normal-to-normal intervals and low-frequency power revealed significant differences in autonomic nervous system activity between the 2 groups. Healthy children exhibited higher sympathetic activation, suggesting greater emotional engagement during the VR experience, whereas hospitalized children demonstrated more attenuated responses. The consistency between physiological data and self-reported measures strengthens the construct validity of the instruments used and enhances the overall reliability of the study findings. Conclusions: The VR intervention significantly increased hope levels in both healthy children and hospitalized children with leukemia, with a greater improvement observed among healthy participants. Therefore, this study suggests that when designing interventions for hospitalized children, more targeted emotional support strategies should be considered. Future studies are recommended to explore different types of VR content and the medical conditions of hospitalized children.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.573

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.037
GPT teacher head0.452
Teacher spread0.414 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2025
Admission routes1
Has abstractyes

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