Virtual Reality for advanced cancer patients assisted at home: A randomized controlled interventional study.

OBJECTIVE: Virtual Reality (VR) has been demonstrated to be an effective option for integrating psychological interventions in different therapeutic settings. This randomized controlled interventional study aims to assess the effects of VR, compared to tablet controlled intervention, on anxiety, depression, pain, and short-term psychophysical symptoms in advanced cancer patients assisted at home. METHODS: Participants were provided with a VR headset or a tablet (TAB) for 4 days. On the first and last day, anxiety and depression were measured by Hospital Anxiety and Depression Scale and pain by Brief Pain Inventory. Before and after each VR and tablet session, symptoms were collected by the Edmonton Symptom Assessment Scale (ESAS). RESULTS: Fifty-three patients (27 VR vs. 26 TAB) completed the study. Anxiety significantly decreased in the VR group after the 4-day intervention. The analysis of ESAS showed a significant improvement in pain (p = 0.013), tiredness (p < 0.001), and anxiety (p = 0.013) for TAB group, and a significant reduction in tiredness (p < 0.001) in the VR group. CONCLUSIONS: Technological and user-friendly tools, such as VR and tablets, might be integrated with traditional psychological interventions to improve anxiety and cancer-related short-term symptoms. Further studies are needed to better consolidate the possible beneficial effects of VR.

Distance Monitoring of Advanced Cancer Patients with Impaired Cardiac and Respiratory Function Assisted at Home: A Study Protocol in Italy.

During the pandemic, telemedicine and telehealth interventions have been leading in maintaining the continuity of care independently of patients' physical location. However, the evidence available about the effectiveness of the telehealth approach for advanced cancer patients with chronic disease is limited. This interventional randomized pilot study aims to evaluate the acceptability of a daily telemonitoring of five vital parameters (heart rate, respiratory rate, blood oxygenation, blood pressure, and body temperature) using a medical device in advanced cancer patients with relevant cardiovascular and respiratory comorbidities assisted at home. The purpose of the current paper is to describe the design of the telemonitoring intervention in a home palliative and supportive care setting with the objective of optimizing the management of patients, improving both their quality of life and psychological status and the caregiver's perceived care burden. This study may improve scientific knowledge regarding the impact of telemonitoring. Moreover, this intervention could foster continuous healthcare delivery and closer communication among the physician, patient and family, enabling the physician to have an updated overview of the clinical trajectory of the disease. Finally, the study may help family caregivers to maintain their habits and professional position and to limit financial consequences.

Automatic pain assessment on cancer patients using physiological signals recorded in real-world contexts.

Pain assessment represents the first fundamental stage for proper pain management, but currently, methods applied in clinical practice often lack in providing a satisfying characterization of the pain experience. Automatic methods based on the analysis of physiological signals (e.g., photoplethysmography, electrodermal activity) promise to overcome these limitations, also providing the possibility to record these signals through wearable devices, thus capturing the physiological response in everyday life. After applying preprocessing, feature extraction and feature selection methods, we tested several machine learning algorithms to develop an automatic classifier fed with physiological signals recorded in real-world contexts and pain ratings from 21 cancer patients. The best algorithm achieved up to 72% accuracy. Although performance can be improved by enlarging the dataset, preliminary results proved the feasibility of assessing pain by using physiological signals recorded in real-world contexts.

Virtual Reality in Home Palliative Care: Brief Report on the Effect on Cancer-Related Symptomatology.

Virtual reality (VR) has been used as a complementary therapy for managing psychological and physical symptoms in cancer patients. In palliative care, the evidence about the use of VR is still inadequate. This study aims to assess the effect of an immersive VR-based intervention conducted at home on anxiety, depression, and pain over 4days and to evaluate the short-term effect of VR sessions on cancer-related symptomatology. Participants were advanced cancer patients assisted at home who were provided with a VR headset for 4days. On days one and four, anxiety and depression were measured by the Hospital Anxiety and Depression Scale (HADS) and pain by the Brief Pain Inventory (BPI). Before and after each VR session, symptoms were collected by the Edmonton Symptom Assessment Scale (ESAS). Participants wore a smart wristband measuring physiological signals associated with pain, anxiety, and depression. Fourteen patients (mean age 47.2±14.2years) were recruited. Anxiety, depression (HADS), and pain (BPI) did not change significantly between days one and four. However, the ESAS items related to pain, depression, anxiety, well-being, and shortness of breath collected immediately after the VR sessions showed a significant improvement (p<0.01). A progressive reduction in electrodermal activity has been observed comparing the recordings before, during, and after the VR sessions, although these changes were not statistically significant. This brief research report supports the idea that VR could represent a suitable complementary tool for psychological treatment in advanced cancer patients assisted at home.