ArticleCancer nursing
Adapting an Evidence-Based Intervention to Address Targeted Therapy-Related Fatigue in Chronic Myeloid Leukemia Patients.
Article in Cancer nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Psychosocial Interventions for the Treatment of Cancer-Related Fatigue: An Umbrella Review.Current oncology (Toronto, Ont.) · 2023Pooled it
- Fatigue Perpetuating Factors as Mediators of Change in a Cognitive Behavioral Intervention for Targeted Therapy-Related Fatigue in Chronic Myeloid Leukemia: A Pilot Study.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022Trial
- Trial
- Fatigue Experience in Oncology; a Targeted Qualitative Literature Review and Novel Patient-Centric Conceptual Model.Advances in therapy · 2025Review
- Fatigue Related COPD From Patient's Perspectives.Journal of evaluation in clinical practice · 2025Review
- Stress Management Program for Scanxiety in People With Advanced Lung Cancer: Intervention Adaptation and Stakeholder Feedback.Psycho-oncology · 2025Article
- Comparative efficacy and safety of first-line tyrosine kinase inhibitors in chronic myeloid leukemia: a systematic review and network meta-analysis.Translational cancer research · 2024Article
- Transcreation matters: A learner centric participatory approach for adapting cancer prevention messages for Latinos.Patient education and counseling · 2023Article
- Article
- Cognitive Behavioral Therapy for Treatment-Related Fatigue in Chronic Myeloid Leukemia Patients on Tyrosine Kinase Inhibitors: A Mixed-Method Study.Journal of clinical psychology in medical settings · 2019Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundFatigue is one of the most important quality of life issues experienced by patients being treated with oral targeted therapy for chronic myeloid leukemia (CML). However, no intervention exists that specifically addresses strategies to reduce targeted therapy-related fatigue.
objectiveThis study adapted an evidence-based clinic-delivered intervention (EBI) "cognitive behavior therapy for post-cancer fatigue" for use in CML patients. The existing EBI was based on 6 established perpetuating factors of fatigue (ie, sleep, activity, helpful thinking, coping with cancer, social support, and fear of disease recurrence). Study aims were to gauge reactions to (1) existing content and (2) a new Internet-assisted intervention delivery format.
methodsGuided by the ADAPT-ITT framework, we used a series of systematic steps and adaptation methodologies, including semistructured interviews with CML patients and providers and feedback from topical experts.
resultsPatients were receptive to existing content topics and an Internet-assisted delivery format was acceptable. A key theme reflected the need for a new customized psychoeducational module about CML as a disease and its treatment. Both providers and patients held positive views about the potential of the adapted EBI to improve fatigue.
conclusionsFindings offered essential guidance for the adaptation and reinforced the utility of the adapted intervention. IMPLICATIONS FOR PRACTICE: Adapting existing EBIs for new audiences contributes to advancing findings of evidence-based research, ultimately providing nurses and other healthcare providers with important referral options to interventions that may provide useful strategies to improve quality of life and reduce targeted therapy-related fatigue.
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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.