Evidence map›Paper›PMID 40204807›Full record

ArticleScientific reports2025

Cancer patients' acceptance of virtual reality interventions for self-emotion regulation.

Fangui Zeng, Qing Li, Siqi Cai, Zhuo Xiao, Xiaofang Chen, Wanshi Zhu, Juan Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

7 authors.

Fangui ZengHunan Normal University, Changsha, Hunan, China.
Qing LiXiangtan Central Hospital, No. 120, Heping Road, Xiangtan, 430070, Hunan, China. 412082348@qq.com.
Siqi CaiHunan Institute of Engineering, Xiangtan, Hunan, China.
Zhuo XiaoXiangtan Central Hospital, No. 120, Heping Road, Xiangtan, 430070, Hunan, China.
Xiaofang ChenXiangtan Central Hospital, No. 120, Heping Road, Xiangtan, 430070, Hunan, China.
Wanshi ZhuYueyang People's Hospital, Yueyang, Hunan, China.
Juan LiXiangya Nursing School, Central South University, Changsha, Hunan, China.

Funding

Scientific Research Project of Hunan Provincial Education Department 23A0533Xiangtan Medical Research Project 2023-xtyx-4
6 · The paper itself

Abstract

This study investigates the acceptability of Virtual reality (VR) technology for emotional regulation among cancer patients. Drawing from extensive literature, we enhanced external variables across user characteristics, product impact factors, and social environment influences, creating the "Theoretical Model of Cancer Patients' Acceptance of VR Intervention for Self-Emotion Regulation." Surveying 489 Chinese cancer patients validated the model's strong reliability through SPSS AMOS analysis. The acceptance of VR intervention for self-emotional regulation among cancer patients was assessed, revealing that the average scores across all 13 dimensions exceeded 3. This indicates that cancer patients hold a positive attitude toward VR-based emotional regulation interventions. Perceived usefulness, usage attitude, social norms, immersion, and personal innovation correlated positively with behavioral intention, while technological anxiety and perceived risk showed negative correlations. Findings support 15 hypotheses, offering theoretical backing for VR technology in emotional regulation for cancer patients. These insights provide medical institutions with valuable data on patient attitudes, facilitating the development of targeted treatment approaches.

Indexed as

Emotional RegulationNeoplasmsPatient Acceptance of Health CareVirtual RealityAdultAgedEmotionsFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultAcceptanceCancer patientsTAMVirtual reality technology

Identifiers

PMID40204807
PMCPMC11982251

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.