Feasibility and Effectiveness of Self-Management Education and Coaching on Patient Activation for Managing Cancer Treatment Toxicities
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Bibliographic record
Abstract
BACKGROUND: Poorly managed cancer treatment toxicities negatively impact quality of life, but little research has examined patient activation in self-management (SM) early in cancer treatment. METHODS: We undertook a pilot randomized trial to evaluate the feasibility, acceptability, and preliminary effectiveness of the SMARTCare (Self-Management and Activation to Reduce Treatment Toxicities) intervention. This intervention included an online SM education program (I-Can Manage) plus 5 sessions of telephone cancer coaching in patients initiating systemic therapy for lymphoma or colorectal or lung cancer at 3 centers in Ontario, Canada, relative to a usual care control group. Patient-reported outcomes included patient activation (Patient Activation Measure [PAM]), symptom or emotional distress, self-efficacy, and quality of life. Descriptive statistics and Wilcoxon rank-sum tests were used to examine changes over time (baseline and at 2, 4, and 6 months) within and between groups. We used general estimating equations to compare outcomes between groups over time. The intervention group completed an acceptability survey and qualitative interviews. RESULTS: Of 90 patients approached, 62 (68.9%) were enrolled. Mean age of the sample was 60.5 years. Most patients were married (77.1%), were university educated (71%), had colorectal cancer (41.9%) or lymphoma (42.0%), and had stage III or IV disease (75.8%). Attrition was higher in the intervention group than among control subjects (36.7% vs 25%, respectively). Adherence to I-Can Manage was low; 30% of intervention patients completed all 5 coaching calls, but 87% completed ≥1. Both the continuous PAM total score (P<.001) and categorical PAM levels (3/4 vs 1/2) (P=.002) were significantly improved in the intervention group. CONCLUSIONS: SM education and coaching early during cancer treatment may improve patient activation, but a larger trial is needed. CLINICALTRIALS: gov Identifier: NCT03849950.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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