CUMACA-M: Web-based Intervention for Long-term Breast Cancer Survivors
Study Details
Study Description
Brief Summary
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.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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N/A |
Detailed Description
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.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Experimental: Intervention group 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 |
Other: CUMACA-M Program
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
|
| No Intervention: Control group Usual care in the nursing consultation in primary care |
Outcome Measures
Primary Outcome Measures
- Quality of life Cancer Survivor (QOL-CS) [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.
- Self-Efficacy for Managing Chronic Disease [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
- Sociodemographic data of LS-BC [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.
Secondary Outcome Measures
- Client Satisfaction Questionnaire (CSQ-8) [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).
Eligibility Criteria
Criteria
Inclusion Criteria:
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having been diagnosed with breast cancer
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having completed active oncological treatments (chemotherapy and/or radiotherapy) in a period of time greater than five years,
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be free of disease at the time of data collection
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be a woman and over 18 years of age
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have knowledge of Internet use.
Exclusion Criteria:
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Women with a diagnosis of cancer other than breast cancer
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Recurrence of cancer or metastasis that causes a new treatment
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Being in active treatment for recurrence or new cancer
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Being a man
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Cristina García-Vivar
- Instituto de Salud Carlos III
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- UPNA-CUMACA-B2022