Insights Into Preferences for Psycho-Oncology Services Among Women With Gynecologic Cancer Following Distress Screening
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Much attention has been given to implementing routine screening programs in cancer care to improve the management of distress following diagnosis. Although patients might screen positive for distress, several studies have found that most then refuse additional psychosocial support. To inform the development of successful models of distress screening, this qualitative study explored preferences for psychosocial care among 18 women diagnosed with a gynecologic cancer who scored at least 4 on the Distress Thermometer (DT). Participants were recruited from a gynecologic oncology outpatient clinic in Newcastle, Australia, and interviewed. Unanimously, participants felt that completing the DT was an integral part of their cancer care. However, half then refused the referral to see a psychologist. These women typically reported that a referral was not needed, because their rating on the DT reflected transient stressors or physical distress. Many also spoke about their need to cope with the challenges they were facing on their own and the extensive social support they already had in place to help them overcome these challenges. In contrast, women who accepted referral to the psychologist often struggled to cope with several losses they felt had existential and long-term effects. Commonly, these women reported not having the social support they needed, managing several concurrent life stressors, and/or not having the repertoire of coping skills they required to "remain afloat." Findings from this study begin to bridge the gap between clinicians' and patients' expectations of how psychosocial services should be used in response to distress screening.
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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) | 0.001 | 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 | 0.000 |
| 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