Families of Children Newly Diagnosed With Cancer Incur Significant Out-of-Pocket Expenditure for Treatment: Report of a Multi-Site Prospective Longitudinal Study From India (INPOG-ACC-16-01)
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
Background: Diagnosis of cancer in a child places considerable economic burden on families. The health expenditures are more catastrophic in resource limited countries like India where GDP spend on health is just over 1% and financing of treatment is usually out-of-pocket (OOP). Consequently parents may abandon their child's cancer treatment to ensure financial sustainability of the family. Research in this area is mostly from resource rich countries and OOP expenditure burden remains unknown in India. Aim: The objective of this study is to describe the OOP expenditure incurred by families of children (< 18 years age) with cancer being treated in India prior to and during cancer directed treatment. Methods: A prospective cost of illness study from a family household perspective was conducted in 14 centers (5 public, 5 private and 4 charitable trust sector) in 4 cities in India from 2016-2018. Baseline family demographic and socioeconomic data were collected followed by OOP expenditure incurred prior to start of treatment. For the duration of the child's treatment, a social worker contacted parents at regular intervals to record their expenditure on cancer directed treatment. Data collection was stopped when one of these happened - completion of treatment or death or progression/relapse or abandonment or transfer. Data were described descriptively and a univariate/multivariate analysis using logistic regression was done to detect factors associated with OOP expenditure. Results: 394 children (63% male, median age 5 years) with cancer (64% leukemia/lymphoma, 33% solid tumors, 3% CNS tumors) were enrolled from public (45%), charitable trust (28%) and private (27%) sector hospitals. They were symptomatic for a median duration of 6 weeks (range 0 to 104 weeks). 88% had no insurance and 73% were from families with monthly income of ≤ 10,000 rupees (≤ 159 US$). Mean OOP expenditure was Rs 209,500 (3325 US$) which is 195% of per capita income (1706 US$) of India. OOP expenditure from onset of symptoms to start of treatment was Rs 53,104 (843 US$) of which 77% was medical (15% laboratory tests, 11% medicines, 9% hospital bed costs) and 23% nonmedical (12% travel, 6% food, 3% lodging). OOP expenditure on cancer directed treatment was Rs 156,396 (2482 US$) of which 64% was medical (9% hospital bed costs, 9% supportive care drugs, 8% laboratory tests) and 36% nonmedical (19% food, 9% travel, 6% lodging). On univariate analysis age, gender, city, type of treatment facility, insurance, type of cancer, driving time and distance were significantly associated with OOP expenditure but only insurance and type of treatment facility were found significant on multivariate analysis. Conclusion: Families of children with cancer incur significant OOP expenditure prior to and during cancer directed treatment, which includes a significant portion on nonmedical expenses. Expenditure varied significantly by insurance and type of treatment facility.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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