ClinicalTrials.gov
public full text
Public Domain
Efficacy of a Couple-Focused mHealth Symptom Self-management Program
In this study, the investigators propose to test the efficacy of a couple-focused, web-based tailored prostate cancer symptom management program, Prostate Cancer Education and Resources for Couples (PERC) in a randomized clinical trial. A two-group (PERC versus National Cancer Institute (NCI) website plus treatment as usual) randomized controlled design will be used, and data will be collected at baseline (T1), 4 (T2), 8 (T3), and 12 months (T4) among 300 patients completing initial treatment for localized prostate cancer and their intimate partners (i.e., 600 participants in total).
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
- Intimacy-Enhancing Couples' Intervention for Localized Prostate Cancer#852014
- Multisite Implementation of COMPRENDO#890744
- Communication and Intimacy-Enhancing Therapy for Men With Early Stage Prostate Cancer and Their Partners#915860
- The Experiences and perspective of partners of men with prostate cancer in Ireland: A qualitative descriptive study#186672
- The Experiences and Perspective of Partners of Men With Prostate Cancer in Ireland: A Qualitative Descriptive Study.#156769
Record · ID 882467
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive