View clinical trials related to Symptom Management.
Filter by:To learn if using guided imagery and deep breathing techniques can help with pain management in patients who have post-mastectomy pain syndrome.
The use of oral anticancer agents (OAAs) in cancer treatment has increased especially in the last two decades. The use of mobile health technologies in the management of OAA can be beneficial in terms of treatment adherence and symptom management.The aim of this study is to explore how a Smartphone mobile application can help improve the cancer treatment process in people who are used oral anticancer agents. This study will be done a randomized-controlled trial to test the intervention.
Many studies have shown that anxiety and depression are associated with reduced treatment adherence and poor treatment outcomes among patients undergoing cancer treatments. Given the negative consequences of psychological symptoms for cancer patients, it is important to effectively identify and address emotional distress among cancer patients. However, many barriers exist that limit access to effective treatments. Mobile health (mHealth) technologies offer the potential for remote monitoring and on demand management of psychological needs among cancer patients. This pilot randomized controlled trial (RCT) will assess the initial feasibility of a phone-delivered intervention for anxiety and depressive symptoms among cancer patients that are receiving active radiation treatments. A total of 60 participants will be randomized to in-person and smartphone-based assessment only (n=30) or assessment plus smartphone-based intervention (n=30). Both groups will be followed for 8 weeks (6 weeks while undergoing radiation therapy for breast or gynecological cancer + 2 weeks following radiation therapy). It is expected that patients who are randomized to the intervention group will report that the smartphone app is easy to use, app content is useful, and will show greater improvements in reported anxiety, depression, and quality of life compared with the assessment only group. Data from this pilot study will be used to inform the development of mHealth interventions that will be tested in future fully powered RCTs.
Breast cancer is the most common cancer in women in Singapore. Breast cancer survivors usually experience side effects/symptoms after surgery and/or adjuvant chemotherapy and/or radiotherapy such as fatigue, lymphedema, problems with sleeping, peripheral neuropathy, and anxiety/depression. Currently, there is no study to include both symptom management and mindfulness training components for breast cancer survivors. And given breast cancer survivors have infrequent clinical follow-up, we aim to develop an e-Home based symptom management and mindfulness training programme for breast cancer survivors and to determine its effects on quality of life, symptom distress, psychosocial adjustment, psychological morbidity, and unplanned outpatient attendance or hospitalisation in breast cancer survivors. We employ a randomised clinical trial with four study arms (with 47 subjects in each arm) together with a process evaluation; group 1 (usual care), group 2 (experimental group: five weekly sessions of online symptom management + mindfulness training programme and usual care), group 3 (comparison group 1: five weekly sessions of online symptom management programme and usual care), and group 4 (comparison group 2: five weekly sessions of online mindfulness training programme and usual care). Subjects will complete questionnaires measures of 6-item Social Support Questionnaire, Breast Cancer Survivor Self-Efficacy Scale, the Quality of Life-Cancer Survivor Scale, Memorial Symptom Assessment Scale, Psychosocial Adjustment to Illness Scale, short version of the Fear of Recurrence Scale, Hospital and anxiety Depression Scale and Five Facet Mindfulness Questionnaire at baseline (printed questionnaires), at 8 weeks from baseline, at 12 weeks from baseline and at 24 weeks from baseline by an online system or printed questionnaires. Individualised semi-structured interview (15-25 mins) for experimental and comparison groups will be conducted at 24 weeks from baseline to understand the subjects' experiences of the study programme. Data will be analysed using SPSS version 24. Baseline demographic and clinical information of subjects in the experimental, comparison and control groups will be summarised using descriptive statistics, and will be compared using chi square tests and ANOVA/ANCOVA tests. Intention-to-treat approach will be used. Repeated measures analysis of variance will be used to examine the differences on outcome measures among the experimental, comparison and control groups across study time points. In addition, differences in changes in outcome measures among experimental, comparison groups and usual care groups will be tested using multilevel modelling techniques. A p-value smaller than 5% will be considered as statistically significant. Content analysis will be conducted to analyse the interviews data.