Model for the Cost Analysis of Shunted Hydrocephalic Children
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
This paper describes a model for forecasting the treatment costs for hydrocephalic patients with ventriculoperitoneal shunts. Modeling with institution-specific or reported failure rates allows the prediction of shunt failure in real and/or theoretical populations. The addition of costing factors (derived from hospitalization, operative and drug costs) to the model allows the derivation of partial or total cost estimates. The effects of varying the failure rate, infection rate, number of new patients, number of lost patients and costing factors can be simulated and measured. Basing this model on data from our institution, decreasing the rate of failure during the first year following shunt insertion or revision has the potential for greater cost savings over time than either decreasing the shunt infection rates or the duration of hospital stay. By combining shunt performance and financial data, an estimate of the cost of the treatment of a population with hydrocephalus, over time, can be derived. These data can be critical for institutional and program budgeting and serve as an estimate of the economic effects of treatment changes proposed in clinical trials.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| 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