Public University of Navarre
Pamplona, 31008, Spain
Location status: Recruiting
NCT Number: NCT05322460
The number of breast cancer survivors is growing. More cured women are becoming long-term survivors of breast cancer (LS-BC) at least 5 years after diagnosis and after treatment has been completed. Some of these LS-BC return to daily life without any problems; however, in many cases, they experience and have to deal with physical sequelae (chronic fatigue, pain, etc.) psychological sequelae (anxiety, depression, fear of recurrence, etc.) and social sequelae (altered interpersonal relationships, difficulty in returning to work, etc.). For many LS-BC, these health problems are not being met by health professionals. Thus there is a need to promote greater continuity and coordination between specialized oncology care and primary health care in order to enhance specific follow-up of these women in the community. However, the role of the primary health care team in the provision of care in the long-term cancer survival is not clearly defined and few actions have been aimed at improving care activities, standardizing procedures and protocols, developing documentation and registries and updating the training of health care professionals. Therefore, this study aim to design, implement, and evaluate a web based tailored intervention, using artificial intelligence, to improve the quality of life of long-term breast cancer survivors, and self-efficacy for the management of late sequelae from primary care.
Interested in participating?
Request Info18 year–99 year
Female
Interventional
Not applicable
Pamplona, 31008, Spain
Location status: Recruiting
Hypothesis: A web-based tailored intervention, based on the prevention and management of physical and psychosocial late effects due to cancer treatment and aimed at improving the coexistence of long-term breast cancer, will be more effective in improving quality of life and self-efficacy for the management of late sequelae from Primary Care, than conventional care offered in Primary Care. Aim: To design, implement and evaluate the effectiveness of a web-based tailored intervention, based on artificial intelligence, to improve the quality of life of long-term survivors of breast cancer and self-efficacy for the management of late sequelae from Primary Healthcare. Methodology: Randomized controlled trial (following the Medical Research Council methodological framework). Phase I. Design of a personalized digital intervention based on the results of a review of the available evidence on the needs of long-term survivors (LS-BC) of breast cancer and agreed with a panel of experts. It will be designed in web/mobile application format. The use of algorithms will allow the personalization of the contents according to the needs. Phase II. Piloting: Pre-experimental design pretest-postest with one group, by means of a convenience sampling with LS-BC women, who meet the selection criteria. The collection of sociodemographic and clinical data, as well as the variables under study; quality of life (QOL-BC), self-efficacy in the management of cancer sequelae (Self-Efficacy for Managing Chronic Disease). The participants will use a web application and will test the usability and functionality. Phase III. Implementation of the intervention: Randomized controlled trial. Random sampling of LS-BC and random assignment to the intervention group (CUMACA-M program) or control group (standard care). A protocol will be designed that allows the collection of data and variables (Phase II) and satisfaction with the intervention (CSQ-8), at pre-intervention, and at 3, 6 and 9 months.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The CUMACA-M Program will focus on a web-based tailored intervention, using artificial intelligence, for Long-Term Survivors of Breast Cancer. It will be structured into modules related to the specific needs of LS-BS, including physical, psychological, and social needs
Time frame: Changes from baseline, 3-months, 6 months, and 9 month
The QOL-CS, Spanish version (Ferrell B, Hassey-Dow K, Grant M. Quality of Life Patient/Cancer Survivor Version (QOL-CS) [Internet]. Measurement Instrument Database for the Social Science. 2012). Scale specific for cancer survivor. Likert-type scale with 10 options (1 extremely poor and 10 excellent) with 41 items that measure the four domains of quality of life: physical, psychological, social and spiritual well-being.
Time frame: Changes from baseline, 3-months, 6 months, and 9 month
The Self-Efficacy for Managing Chronic Disease- 6-Item Scale (SEMCD-6) (Ritter PL, Lorig K. The English and Spanish Self-Efficacy to Manage Chronic Disease Scale measures were validated using multiple studies. J Clin Epidemiol. 2014; 67(11): 1265-73). The scale is structured in 6 items related to symptom control, role performance, emotional state and communication with health professionals
Time frame: Baseline
Sociodemographic data of the LS-BC (age, sex, marital status, educational level, employment status) will be collected by means of an ad hoc questionnaire at the beginning of the intervention.
Time frame: 4 weeks
The satisfaction with the CUMACA-M Program will be measured using the Spanish version of the Client Satisfaction Questionnaire (CSQ-8) (Attkisson CC, Greenfield TK. The UCSF Client Satisfaction Scales: I. The Client Satisfaction Questionnaire-8. In Maruish M (Ed). 2004). This scale is structured into 8 items with has five response options (from very dissatisfied to very satisfied).
Contact information is provided by the study sponsor or research team.
Cristina García-Vivar
Other
A Web-based Tailored Intervention to Improve the Quality of Life of Long-term Breast Cancer Survivors. A Randomized Controlled Trial
Acronym: CUMACA-M
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