Skin Self-Examination: Partner Comfort and Support During Examinations as Predictors of Self-Efficacy in Patients At Risk for Melanoma Recurrence
Bibliographic record
Abstract
BACKGROUND: Skin self-examination (SSE) is an effective method for melanoma survivors to detect potential cancerous growths sooner. OBJECTIVES: The purpose of this study was to examine whether the SSE self-efficacy of patients with melanoma and their partners is affected by their partners' comfort and support during skin examinations. METHODS: 100 patient-partner dyads completed a 25-item sociodemographic questionnaire. Fifty-two partners attended an education session with the patient on skin examinations and the early detection of melanoma. All patients attended the education session. FINDINGS: Having their partners attend the education session, as well as being supportive and comfortable with skin examinations, significantly predicted patients' self-efficacy with SSEs. In addition, male patients were found to be significantly more comfortable with partner-assisted skin examinations and reported feeling more supported by their partner than female patients.
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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 | 0.001 | 0.006 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".