Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

An Intervention for Female Breast CANcer: Acceptance and Commitment Therapy (I-CAN-ACT) for Depression and Physical Pain

University of Cyprus · 2022
ClinicalTrials.gov · Datasets · License: Public Domain · 2022
Open Source ↗
depressionnapainquality-of-liferct
As a result of the cancer diagnosis and medical therapies, women with breast cancer often encounter debilitating cooccurring psychological and physical symptoms. While pain constitutes one of the most common adverse physical side effects of medical treatment reported by breast cancer patients, the most prevalent psychological symptom they seek psychological help for is depressive symptoms. Acceptance and Commitment Therapy (ACT) in psychosocial oncology care may be particularly beneficial in targeting depression and cancer-related pain. The aim of the I-CAN-ACT project is to examine in a RCT the efficacy of a brief ACT-based intervention for both depression and physical pain (6 online sessions) compared to a waitlist control on various outcomes in women with breast cancer. Outcomes will include quality of life, physical pain intensity and interference, depression, and anxiety in women with breast cancer. These will be assessed at post-treatment and at the 1-month, 3-month, 6-month and 1 year follow-ups (for Marianna Zacharia's PhD thesis, results will be presented until the 3-month follow-up). Also, the Acceptability and Feasibility of the intervention will be assessed. That is, participants' treatment acceptability and adherence to the brief ACT intervention in terms of retention, treatment engagement and satisfaction with each session and with the overall treatment will be assessed. Participants' reasons for dropout will be recorded.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1438332
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive