Results of a randomized controlled study of personalized care plans in breast cancer survivors from a single institution.
Bibliographic record
Abstract
109 Background: In 2006, Institute of Medicine recommended care plans for coordination of care of cancer survivors. Our pilot study of multifaceted care plans met information and communication needs of breast cancer (BC) survivors and their primary care providers (PCP). In this study, a Personalized Multifaceted Care Plan (PMCP) was developed, implemented and evaluated. Methods: This was a randomized study with mixed methods design. Upon REB approval, 78 women diagnosed with invasive BC for adjuvant treatments were recruited from the breast clinic from June 2013 to March 2015. After informed consent, participants were randomized to the control or the intervention group and stratified to chemotherapy (CT) vs. endocrine therapy (ET). The intervention group received a PMCP (paper based treatment and care plans (TP & CP) with information on breast pathology, treatment sequence, supportive care and follow-up guidelines with access to a website). CT arm patients received a TP at the start of therapy and a CP at completion. ET patients received the CP upfront. Quantitative outcomes were assessed by 3 standardized questionnaires at baseline and following treatment. Within-group baseline and post-intervention scores were compared using paired t-tests. The post-intervention control group and intervention group’s scores were compared using unpaired t-tests. In the intervention group, qualitative analysis was done through focus groups of BC survivors & PCP interviews. Results: Baseline scores in the mean intervention and control groups were similar. In the CT arm of the intervention group, post-intervention scores on Communication and Efficacy Scale showed statistically significant increase (p < 0.05, 95% CI). Results in the control group and in the intervention group of patients on ET were not significantly different. Focus group participants commented that the PMCP helped them feel ‘educated’ and engaged in their cancer treatment and their PCPs found the PMCP contained useful, concise medical summaries. Conclusions: Upfront PMCP improves self-efficacy scores in patients on CT. Qualitative analysis substantiates the benefits of PMCP. PMCP should be standard of care in BC survivors receiving CT.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".