Self‐management interventions for cancer survivors: A systematic review and evaluation of intervention content and theories
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Self-management has been proposed as a strategy to help cancer patients optimize their health and well-being during survivorship. Previous reviews have shown variable effects of self-management on outcomes. The theoretical basis and psychoeducational components of these interventions have not been evaluated in detail. We aimed to evaluate the evidence for self-management and provide a description of the components of these interventions. METHODS: We conducted a systematic review of self-management interventions for adults who had completed primary cancer treatment by searching MEDLINE, EMBASE, PsychINFO, CINAHL, Scopus, Cochrane Database of Systematic Reviews, National Institutes of Health Clinical Trials Registry, and Cochrane CENTRAL Registry of Controlled Trials. We included experimental and quasiexperimental designs. Data synthesis included narrative and tabular summary of results; heterogeneity of interventions and outcomes precluded meta-analysis. Study quality was evaluated using the Cochrane risk of bias tool or the risk of bias of nonrandomized studies tool. RESULTS: Forty-one studies published between 1994 and 29 March 2018 were included. Studies were predominantly randomized controlled trials and targeted to breast cancer survivors. A variety of intervention designs, psychoeducational components, and outcomes were identified. Less than 50% of the studies included a theoretical framework. There was variability of effects across most outcomes. Risk of bias could not be fully assessed. CONCLUSIONS: There are limitations in the design and research on self-management interventions for cancer survivors that hinder their translation into clinical practice. Further research is needed to understand if these interventions are an important type of support for cancer survivors.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it