Meme Kanserinde Ergoterapi Temelli Problem Çözme Stratejisi Eğitiminin Etkinliği
Bibliographic record
Abstract
This study was planned to evaluate activity participation, cancer-related fatigue, depression and quality of life in individuals with breast cancer and to examine the effect of occupational therapy based problem solving strategy training (OTB-PSST) applied to them. Study included randomly chosen 22 individuals with breast cancer who applied to Hacettepe University Oncology Hospital Outpatient Polyclinic. The Socio-demographic and Clinical Features Information Collection Form and Canada Occupational Performance Measurement (COPM) were applied with the semi-structured interview method in the light of Canadian Model of Occupational Performance perspective. Cancer Fatigue Scale (CFS), Beck Depression Inventory (BDI), European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QOL-C30 -EORTC QOL-BR23) were also applied to them. The Turkish translation, reliability and the validity study of CFS was designed as a preliminary study during the thesis study; it’s test-retest reliability (ICC: 0,95) were high and good internal consistency (Cronbach alpha: 0,74). OTB- PSST intervention was administered for 6 weeks, 1 session per week for an average of 60 minutes each session. At the end of the intervention, the individuals with breast cancer were evaluated again with the same scales and the results were compared. As a result of our study, there was a statistically significant difference between the pre and post treatment measurements in the CFS, BDI and COPM performance and satisfaction scores (p<0,01). When the activity distribution results are analyzed according to the performance areas, it was determined that the individuals with breast cancer had most of their problems in the productivity area (household management) activities. According to the results of individuals’ problem-solving strategy steps, most of the activity performance problems were addressed by developing adaptive strategies such as adding new steps to the activity. When the EORTC QOL-C30 and EORTC QOL-BR23 quality of life test results are examined; the difference between pre-intervention and post-intervention results of the functional status and symptom scale subscale scores of the tests were statistically significant (p<0,05). OTB- PSST interventions provide positive benefits for individuals with breast cancer, reducing cancer-related fatigue and depression, improving performance and satisfaction levels of activities, and increasing quality of life.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".