Virtual Reality Images of the Home Are Useful for Patients With Hospital-Based Palliative Care: Prospective Observational Study With Analysis by Text Mining.

cancer palliative care virtual reality

Journal

Palliative medicine reports
ISSN: 2689-2820
Titre abrégé: Palliat Med Rep
Pays: United States
ID NLM: 101770666

Informations de publication

Date de publication:
2023
Historique:
accepted: 13 07 2023
medline: 30 8 2023
pubmed: 30 8 2023
entrez: 30 8 2023
Statut: epublish

Résumé

Malignancy patients who need long-term hospitalization can feel loneliness affecting their quality of life. The global COVID-19 pandemic has caused visiting restrictions that could mean patients who might be missing out on family support and palliative care, therefore, need to adapt and change. We used virtual reality (VR) technology with the aim of reducing feelings of loneliness among these patients. In a small cohort setting, we aimed to clarify the usefulness of VR viewing for this purpose by text mining interviews with the patients in palliative care after their VR experience, and to clarify the feasibility of this program. Four consecutive Japanese patients in the palliative care unit viewed personalized familiar persons or places through VR goggles, while communicating by telephone. After the VR experience, text mining of the patients' interviews was used to extract the words for the frequency count and co-occurrence analysis. Four clusters were extracted: "relief from the pain of hospitalization by feeling safe and secure with family members nearby," "using VR to regain daily life," "immersive feeling of being in the same space as family," and "loneliness due to the realistic feeling of separation from the family through VR experience." There were no cases of VR sickness. Our results attained by text mining suggest the promising potential of VR imaging of familiar surroundings for patients in palliative care.

Sections du résumé

Background UNASSIGNED
Malignancy patients who need long-term hospitalization can feel loneliness affecting their quality of life. The global COVID-19 pandemic has caused visiting restrictions that could mean patients who might be missing out on family support and palliative care, therefore, need to adapt and change. We used virtual reality (VR) technology with the aim of reducing feelings of loneliness among these patients.
Objectives UNASSIGNED
In a small cohort setting, we aimed to clarify the usefulness of VR viewing for this purpose by text mining interviews with the patients in palliative care after their VR experience, and to clarify the feasibility of this program.
Design and Setting/Subjects UNASSIGNED
Four consecutive Japanese patients in the palliative care unit viewed personalized familiar persons or places through VR goggles, while communicating by telephone. After the VR experience, text mining of the patients' interviews was used to extract the words for the frequency count and co-occurrence analysis.
Results UNASSIGNED
Four clusters were extracted: "relief from the pain of hospitalization by feeling safe and secure with family members nearby," "using VR to regain daily life," "immersive feeling of being in the same space as family," and "loneliness due to the realistic feeling of separation from the family through VR experience." There were no cases of VR sickness.
Conclusion UNASSIGNED
Our results attained by text mining suggest the promising potential of VR imaging of familiar surroundings for patients in palliative care.

Identifiants

pubmed: 37645585
doi: 10.1089/pmr.2023.0017
pii: 10.1089/pmr.2023.0017
pmc: PMC10460958
doi:

Types de publication

Journal Article

Langues

eng

Pagination

214-219

Informations de copyright

© Tomoyo Mukai et al., 2023; Published by Mary Ann Liebert, Inc.

Déclaration de conflit d'intérêts

No competing financial interests exist.

Références

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Auteurs

Tomoyo Mukai (T)

Departments of Nursing, Wakayama Medical University Hospital, Wakayama, Japan.

Yoshi Tsukiyama (Y)

Palliative Care Center, Oncology Center, Wakayama Medical University Hospital, Wakayama, Japan.
The Department of Anesthesiology, Wakayama Medical University, Japan.

Shinobu Yamada (S)

Wakayama Medical University Graduate School of Health and Nursing Science, Wakayama, Japan.

Akinori Nishikawa (A)

Division of Blood Transfusion, Wakayama Medical University Hospital, Wakayama, Japan.
Departments of Hematology/Oncology, Wakayama Medical University Hospital, Wakayama, Japan.
Division of Medical Informatics, Wakayama Medical University Hospital, Wakayama, Japan.

Shinya Hayami (S)

Second Department of Surgery, Wakayama Medical University, Wakayama, Japan.

Rie Noguchi (R)

Departments of Nursing, Wakayama Medical University Hospital, Wakayama, Japan.

Junko Yoshida (J)

Departments of Nursing, Wakayama Medical University Hospital, Wakayama, Japan.

Maki Kashiwada (M)

Departments of Nursing, Wakayama Medical University Hospital, Wakayama, Japan.

Shigeru Ohta (S)

Wakayama Medical University, School of Pharmaceutical Sciences, Wakayama, Japan.

Toshio Shimokawa (T)

Clinical Study Support Center, Wakayama Medical University Hospital, Wakayama, Japan.

Hiroki Yamaue (H)

Department of Cancer Immunotherapy, Wakayama Medical University, Wakayama, Japan.

Classifications MeSH