ArticleBMC cancer2020
Design of a randomized controlled trial of a partnership-based, needs-tailored self-management support intervention for post-treatment breast cancer survivors.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.
- The Effect of Theory-Guided Positive Psychological Interventions for Patients With Breast Cancer: A Systematic Review and Meta-Analysis.Journal of clinical nursing · 2026Pooled it
- The influence of telehealth-based cancer rehabilitation interventions on disability: a systematic review.Journal of cancer survivorship : research and practice · 2023Pooled it
- Managing dry eye disease in primary Sjögren's syndrome using the chronic care model: a single-group pre-post study.BMC ophthalmology · 2026Article
- Acceptability of the RecoverEsupport Digital Health Intervention Among Patients Undergoing Breast Cancer Surgery: Qualitative Study.Journal of medical Internet research · 2025Article
- Development and psychometric testing of the lymphedema self-management support scale for breast cancer survivors.Asia-Pacific journal of oncology nursing · 2024Article
- Empowerment-Led Guided Self-Help Intervention for Symptom Burden in Breast Cancer Women Treated With Ovarian Function Suppression: A Randomized Trial Protocol.World journal of oncology · 2024Article
- Validation of Mini-Mental Adjustment to Cancer scale in a Moroccan sample of breast cancer women.BMC cancer · 2021Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundSelf-management is becoming essential for breast cancer survivors, but evidence about the effectiveness of self-management support (SMS) intervention is lacking. To address this issue, we developed a theory-based SMS intervention, the 'EMPOWER', aimed at empowering breast cancer survivors. Here we describe the rationale of the intervention and its development.
methodsThe conceptual framework of this study is the Chronic Care Model, which posits that SMS can influence patient-provider relationships and ultimately improve health outcomes. We will conduct a multi-center, 2-armed randomized controlled trial to assess the effectiveness of EMPOWER among post-treatment breast cancer survivors in South Korea. The trial will include 94 women who completed primary breast cancer treatment within the last 6 months. Participants will be randomly assigned to the intervention group or the wait-list control group (1:1). The intervention group will receive a 7-week partnership-based and needs-tailored SMS intervention via telephone counseling. The primary outcome is empowerment. The secondary outcomes include self-efficacy for post-treatment self-management behaviors, mental adjustment, psychological distress, and health-related quality of life (HRQOL). Data will be collected by self-reported questionnaire at baseline, post-intervention, and 3-month follow-up. DISCUSSION: We believe that the EMPOWER intervention could improve HRQOL of post-treatment breast cancer survivors by enhancing their empowerment. If found successful, it could aid clinicians engaged in the long-term care of breast cancer survivors.
trial registrationClinical Research Information Service, KCT0004794. Registered 5 March 2020.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.