Trial reportCancer nursing
Creating Individualized Symptom Management Goals and Strategies for Cancer-Related Fatigue for Patients With Recurrent Ovarian Cancer.
Trial report in Cancer nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Effect of cognitive behavioral therapy on cancer-related fatigue and psychological status in ovarian cancer patients: A meta-analysis.World journal of psychiatry · 2025Article
- Short- and long-term weekly patient-reported outcomes prediction undergoing radiotherapy: single-patient time series model vs. transformer-based multi-patient time series model.BioData mining · 2025Article
- Analysis of the status and factors influencing physical activity in patients undergoing ovarian cancer chemotherapy.Frontiers in oncology · 2023Article
- Digital Life Coaching During Stem Cell Transplantation: Development and Usability Study.JMIR formative research · 2022Article
- Current developments in delivering customized care: a scoping review.BMC health services research · 2021Article
- Experiencing and responding to chronic cancer-related fatigue: A meta-ethnography of qualitative research.Psycho-oncology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundCancer-related fatigue (CRF) is one of the most common symptoms among women with recurrent ovarian cancer, yet it remains extremely difficult to manage. Symptom management typically requires patients to set goals and strategies to manage their CRF, but little is known about how to create individualized CRF symptom management goals and strategies.
objectiveThe aim of this study was to describe cancer patients' goals and strategies for managing CRF along with their process of individualizing both.
methodsThis study is a qualitative analysis with supportive quantitative description of a Web-based symptom management randomized clinical trial, the WRITE (Written Representational Intervention to Ease) Symptoms study. Researchers conducted a content analysis on 47 participants' CRF symptom care plans to identify common themes in participants' goals, categorize strategies, and describe the individualization process.
resultsFour general themes were identified among participants' CRF goals: (1) enjoying time with friends and family, (2) doing the things I enjoy, (3) having energy to be physically active, and (4) keeping up with what I need to do. Cancer-related fatigue strategies were categorized into 13 groups including conserving energy, increasing activity, and talking with healthcare providers. A multistep individualization process resulted in personally meaningful strategies.
conclusionsThe process by which participants individualized their CRF strategies consisted of identifying, confirming, testing, and evaluating different CRF strategies and resulted in refined, specific, and individualized strategies intended to eventually ensure participants achieve their goal. IMPLICATIONS FOR PRACTICE: Clinicians can assist patients in individualizing their CRF goals and strategies. Individualization of CRF goals and strategies assists patients in visualizing how improving CRF will impact their life.
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Registered trials
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.