Survivorship care needs among LGBT cancer survivors
Bibliographic record
Abstract
OBJECTIVE: To better understand survivorship care needs among LGBT cancer survivors. DESIGN: We administered an anonymous online survey. SAMPLE: LGBT cancer survivors living in the United States. METHODS: Participants were recruited via the National LGBT Cancer Project. The survey measured sociodemographic characteristics, social support, posttraumatic stress, and survivorship care needs. RESULTS: Approximately 72% of our 114 participants were cisgender male and 87% were white. Almost all participants reported at least some unmet survivorship care needs (73%), with over half of participants reporting unmet psychological and sexuality care needs. Participants who reported their oncologist was not LGBT-competent had greater unmet needs (t(82) = 2.5, p = 0.01) and greater posttraumatic stress (t(91) = 2.1, p = 0.035). CONCLUSIONS: LGBT cancer survivors have significant unmet survivorship care needs, and lack of oncologist LGBT-competence is associated with unmet needs. Implications for Psychosocial Providers: Our results suggest the need for LGBT competency training for providers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".