Impact of insurance type on survivor‐focused and general preventive health care utilization in adult survivors of childhood cancer
Bibliographic record
Abstract
BACKGROUND: Lack of health insurance is a key barrier to accessing care for chronic conditions and cancer screening. The influence of insurance type (private, public, none) on survivor-focused and general preventive health care in adult survivors of childhood cancer was examined. METHODS: The Childhood Cancer Survivor Study is a retrospective cohort study of childhood cancer survivors diagnosed between 1970 and 1986. Among 8425 adult survivors, the relative risk (RR) and 95% confidence interval (CI) of receiving survivor-focused and general preventive health care were estimated for uninsured (n = 1390) and publicly insured (n = 640), compared with for the privately insured (n = 6395) RESULTS: Uninsured survivors were less likely than those privately insured to report a cancer-related visit (adjusted RR, 0.83; 95% CI, 0.75-0.91) or a cancer center visit (adjusted RR, 0.83; 95% CI, 0.71-0.98). Uninsured survivors had lower levels of utilization in all measures of care in comparison with privately insured. In contrast, publicly insured survivors were more likely to report a cancer-related visit (adjusted RR, 1.22; 95% CI, 1.11-1.35) or a cancer center visit (adjusted RR, 1.41; 95% CI, 1.18-1.70) than were privately insured survivors. Although publicly insured survivors had similar utilization of general health examinations, they were less likely to report a Papanicolaou test or a dental examinations CONCLUSIONS: Among this large, socioeconomically diverse cohort, publicly insured survivors utilize survivor-focused health care at rates at least as high as survivors with private insurance. Uninsured survivors have lower utilization of both survivor-focused and general preventive health care.
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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 | 0.000 | 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 | 0.000 |
| 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 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".