Need and Use of Healthcare Services in Survivors of Hodgkin Lymphoma
Bibliographic record
Abstract
PURPOSE: Hodgkin lymphoma (HL) is the commonest cancer in adolescents and young adults (AYAs), aged 15-29 years. While the survival rate is high, many survivors experience adverse late effects of therapy. Yet, this age group in general makes limited use of health services. This study sought to determine whether the need for health services by HL survivors was mismatched to their health service utilization, as hypothesized a priori. METHODS: A population-based cohort of survivors (N = 43) younger than 39 years of age was sent a mailed survey for self-assessment of need, as expressed in health-related quality of life (HRQOL), and utilization of health services by validated instruments; the Health Utilities Index and Health and Social Service Utilization Survey, respectively. Survivors who were AYAs at diagnosis were compared to children and older adults. RESULTS: AYAs had the lowest mean HRQOL score (0.79 on a scale of 0.00-1.00) compared to children (0.86) and older adults (0.94)-clinically meaningful differences. The difference in the single attribute score for cognition reached statistical significance (0.89 vs. 0.99 vs. 1.00, p = 0.02). AYAs also had lower mean overall annual costs for health services (CAN$601) than children (CAN$753) and older adults (CAN$936) did. CONCLUSIONS: Survivors of HL who were AYAs at diagnosis had a mismatch between high need for and low utilization of health services. Providers of healthcare to this population should be made aware of this discrepancy, and the survivors should be encouraged to seek the health services they need.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".