Cited by 145Palliative Care and End-of-Life IssuesPalliative and Oncologic CareVirtual Reality Applications and Impacts

A Novel Palliative Care Approach Using Virtual Reality for Improving Various Symptoms of Terminal Cancer Patients: A Preliminary Prospective, Multicenter Study

Niki, Kazuyuki, Okamoto, Yoshiaki, Maeda, Isseki, Mori, Ichiro, Ishii, Ryouhei, Matsuda, Yoshinobu, Takagi, Tatsuya, Uejima, Etsuko·2019·Journal of Palliative Medicine

Abstract

Background: Some terminal cancer patients wish to “go to a memorable place” or “return home.” However, owing to various symptom burdens and physical dysfunction, these wishes are difficult for them to realize. Objective: The aim of the study is to verify whether simulated travel using virtual reality (VR travel) is efficacious in improving symptoms in terminal cancer patients. Design: This is a prospective, multicenter, single-arm study. Setting/Subjects: Twenty participants with terminal cancer were recruited from two palliative care wards; data were collected from November 2017 to April 2018. Measurements: The VR software Google Earth VR ® was used. The primary endpoint was the change in the Edmonton Symptom Assessment System scores for each symptom before and after VR travel. Results: The average age of the participants was 72.3 (standard deviation [SD] = 11.9) years. Significant improvements were observed for pain (2.35, SD = 2.25 vs. 1.15, SD = 2.03, p = 0.005), tiredness (2.90, SD = 2.71 vs. 1.35, SD = 1.90, p = 0.004), drowsiness (2.70, SD = 2.87 vs. 1.35, SD = 2.30, p = 0.012), shortness of breath (1.74, SD = 2.73 vs. 0.35, SD = 0.99, p = 0.022), depression (2.45, SD = 2.63 vs. 0.40, SD = 0.82, p = 0.001), anxiety (2.60, SD = 2.64 vs. 0.80, SD = 1.51, p < 0.001), and well-being (4.50, SD = 2.78 vs. 2.20, SD = 1.99, p < 0.001; pre- vs. post-VR travel score, respectively). No participants complained of serious side effects. Conclusions: This preliminary study suggests that VR travel can be efficacious and safe for terminal cancer patients for improving symptom burden.

Integrity signals

Registry

Crossref · 10.1089/jpm.2018.0527

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Niki, K., Okamoto, Y., Maeda, I., Mori, I., Ishii, R., Matsuda, Y., Takagi, T., & Uejima, E.
Affiliations
  • Ashiya Municipal Hospital (JP)
  • Inokashira Hospital (JP)
  • The University of Osaka (JP)
Corresponding author
Niki, Kazuyuki
Venue
Journal of Palliative Medicine
Published
2019-05-21
Volume
22
Issue
6
Pages
702-707
ISSN
  • 1096-6218 (ISSN-L)
  • 1557-7740
OpenAlex
W2913633394
Cited by
145
References
9
Citations by year
2026: 13 · 2025: 23 · 2024: 30 · 2023: 17 · 2022: 24 · 2021: 22 · 2020: 11 · 2019: 5
FWCI
14.27
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Palliative Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
Japan Society for the Promotion of Science (16K10214)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative and Oncologic Care
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
Keywords
terminal cancer, palliative care, symptom burden, pain, fatigue, sleepiness, dyspnea, depression, anxiety, well-being, Edmonton Symptom Assessment System
MeSH terms
Virtual Reality, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Neoplasms, Palliative Care, Prospective Studies, Terminally Ill, Hospice and Palliative Care Nursing

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review