Financial Hardship in Adult Survivors of Childhood Cancer in the Era After Implementation of the Affordable Care Act: A Report From the Childhood Cancer Survivor Study
Bibliographic record
Abstract
PURPOSE To estimate the prevalence of financial hardship among adult survivors of childhood cancer compared with siblings and identify sociodemographic, cancer diagnosis, and treatment correlates of hardship among survivors in the era after implementation of the Affordable Care Act. METHODS A total of 3,555 long-term (≥ 5 years) survivors of childhood cancer and 956 siblings who completed a survey administered in 2017-2019 were identified from the Childhood Cancer Survivor Study. Financial hardship was measured by 21 survey items derived from US national surveys that had been previously cognitively tested and fielded. Principal component analysis (PCA) identified domains of hardship. Multiple linear regression examined the association of standardized domain scores (ie, scores divided by standard deviation) with cancer and treatment history and sociodemographic characteristics among survivors. RESULTS Survivors were more likely than siblings to report hardship in ≥ 1 item (63.4% v 53.7%, P < .001). They were more likely to report being sent to debt collection (29.9% v 22.3%), problems paying medical bills (20.7% v 12.8%), foregoing needed medical care (14.1% v 7.8%), and worry/stress about paying their rent/mortgage (33.6% v 23.2%) or having enough money to buy nutritious meals (26.8% v 15.5%); all P < .001. Survivors reported greater hardship than siblings in all three domains identified by principal component analysis: behavioral hardship (mean standardized domain score 0.51 v 0.35), material hardship/financial sacrifices (0.64 v 0.46), and psychological hardship (0.69 v 0.44), all P < .001. Sociodemographic (eg, 2 anthracycline chemotherapy, or chest radiation) were statistically significantly associated with increased hardship. CONCLUSION Survivors of childhood cancer were more likely to experience financial hardship than siblings. Correlates of hardship can inform survivorship care guidelines and intervention strategies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".