Effectiveness of Tailored Rehabilitation Education in Improving the Health Literacy and Health Status of Postoperative Patients With Breast Cancer
Bibliographic record
Abstract
BACKGROUND: The improvement of breast cancer treatment and the extension of survivorship have led to the development of postoperative complications among cancer survivors. Health literacy (HL), defined as patients' capability of using health information to maintain their health status, can enable breast cancer patients to manage postoperative complications. OBJECTIVE: The aims of this study were to develop a tailored rehabilitation education (TRE) program and examine the effectiveness of this program in improving the HL and health status with breast cancer. METHODS: This randomized controlled trial recruited 99 breast cancer patients (49 and 50 in the intervention and control groups, respectively) within 1 week after surgery. Four-week individualized TRE programs were implemented to improve their HL and health status. RESULTS: Our results showed that the TRE program produced significant improvements in HL and health status in the components of the International Classification of Functioning, Disability and Health. However, no significant difference was observed in the activity scores obtained using the Barthel Index between the 2 groups. CONCLUSION: Our finding supports the effectiveness of 1-month TRE in improving HL and all components of the International Classification of Functioning, Disability and Health status, except the activity component among breast cancer in Taiwan. IMPLICATIONS FOR PRACTICE: Clinicians could incorporate the TRE techniques in the rehabilitation sessions according to the healthcare, disease prevention, and health promotion domains to improve the clinical outcomes as well as change their health behaviors and attitudes of patients with breast cancer.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".