Health insurance, access to prescription medicines and health outcomes in children
Bibliographic record
Abstract
Ensuring optimal access to medications has received increasing attention as healthcare systems struggle with increasing costs. Although this has been studied extensively in adults, there has been little investigation in pediatric populations, which have different healthcare needs. A literature review was conducted to examine the evidence regarding the relationship between insurance-mediated access to prescription medicines and outcomes in children. In total, 12 studies were classified according to uninsured versus insured, type of insurance provider and impact of family income. The studies demonstrated that insurance coverage and low-cost sharing are both essential to facilitate access to medications. Increased access was consistently observed for insured compared with uninsured children. Access to prescription drugs frequently differed by type of health provider organization. Adequate family income was an important determinant of access to and receipt of prescriptions. Moreover, income-indexed insurance coverage may increase unmet need. Compared with the literature on access to prescription medicines and health outcomes in adults, there have been few studies in children. Further research relating pharmaceutical policies to pediatric health outcomes is needed to strengthen the quality of policy decision making regarding access to prescription medicines for children.
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 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 | 0.004 | 0.000 |
| 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 | 0.001 |
| 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".