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Terminal Cancer clinical trials

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NCT ID: NCT06108375 Recruiting - Terminal Illness Clinical Trials

Differences in Acceptability of Music Therapy Sessions Played Live Compared to a Recording Thereof

Start date: October 24, 2023
Phase: N/A
Study type: Interventional

The present study seeks to assess differences in feasibility and acceptability of music therapy played live and listening to a recording thereof at the palliative care ward of the University Hospital Zurich. As a secondary objective the investigators aim to extend the limited findings on the putative effect of music therapy in palliative care populations derived from objective measures of human autonomic response combined with subjective psychological outcomes to support evidence-based medicine. The investigators will implement a commercially available tracker, the wristband 287-2 by Corsano, to investigate multiple simultaneous biomarkers of autonomic response to music therapy and a recording thereof, such as heart rate, heart rate variability, electrodermal activity and distal body temperature. To investigate subjective quality of life and psychological outcomes, the investigators will administer highly validated and widely used questionnaires, namely the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire 15 Palliative Care, the Edmonton Symptom Assessment System and the Hospital Anxiety and Depression Scale.

NCT ID: NCT06018896 Recruiting - Clinical trials for Metastatic Pancreatic Cancer

Vitamin C to Quality of Life in Patients With Terminal Stage Pancreatic Cancer

PTCA199-4
Start date: August 25, 2023
Phase: Phase 2
Study type: Interventional

The purpose of this study is to evaluate the efficacy of vitamin C in improving the quality of life for metastatic pancreatic cancer patients who are resistant to chemotherapy.

NCT ID: NCT05706740 Recruiting - Terminal Cancer Clinical Trials

Towards Cancer Patient Empowerment for Optimal Use of Antithrombotic Therapy at the End of Life

SERENITY
Start date: February 28, 2023
Phase:
Study type: Observational

Despite the fact that antithrombotic therapy (ATT) has little or even negative effects on the well-being of cancer patients during their last year of life, stopping ATT is rare in clinical practice. In contrast, antithrombotic therapy is often continued until death, resulting in excess bleeding, higher healthcare costs, and increased disease burden. SERENITY aims to develop an information-driven, palliative care shared decision-making process enabled by a user-friendly, easily accessible, web-based shared-decision support tool (SDST) that will facilitate treatment decisions regarding appropriate use of antithrombotic therapy in cancer patients at the end of life. SERENITY will use a comprehensive approach consisting of a combination of realist review, flash mob research, qualitative interviews, epidemiologic studies, and a randomized controlled trial. The sub-project described here uses the flashmob research approach to address healthcare professionals from various institutions, who deal with end-of-life care in cancer patients, or prescribe antithrombotic medication to cancer patients.The survey will be conducted with approx. 800 physicians from eight European countries, all represented in the SERENITY consortium.

NCT ID: NCT05222308 Recruiting - Metastatic Cancer Clinical Trials

Advanced Planning for Online Accounts and Data

Start date: September 17, 2021
Phase: N/A
Study type: Interventional

The proposed research consists of engagements with terminal cancer patients and their friends and family as they engage in end-of-life planning.

NCT ID: NCT05054907 Recruiting - End Stage Cancer Clinical Trials

Using Wearable Device to Improve Quality of Palliative Care

Start date: September 23, 2021
Phase:
Study type: Observational

This study is going to use wearable devices and smartphones to collect physical data from terminal patients and build a survival predicting model for terminal patients with machine learning. Investigators hypothesize that continuous physical data monitoring could offer a hint to better predictability in end-of-life care.