Economic evaluation of neonatal screening for phenylketonuria and congenital hypothyroidism
Bibliographic record
Abstract
OBJECTIVE: To evaluate the costs and benefits of neonatal screening for phenylketonuria (PKU) and congenital hypothyroidism (CH). Neonatal screening for PKU and CH is common throughout the developed world. It represents a model of preventive care in that the screening procedure is simple and intellectual disability is otherwise irreversible. Changes in treatment and care, and in particular the advent of maternal PKU, require regular evaluation of a programme that also impacts on a large healthy population. METHOD: Costs of screening were based on the programme provided within Western Australia. Costs averted were derived using patterns of care currently adopted in Western Australia and applied according to historical patterns of intellectual disability for each condition. RESULTS: A net saving of dollar A2.9 million is attributable to the programme annually. The economic benefits derive from the prevention of intellectual disability which otherwise incurs costs throughout the life of the affected individual. Maternal PKU represented a minor proportion of overall costs. Sensitivity analysis showed that the cost savings were robust, given changes in the levels of intellectual disability, but varied according to the discount rate. The result of a net saving was evident under all assumptions. CONCLUSION: Neonatal screening for PKU and CH is a cost saving use of resources and the emergence of maternal PKU has not had a significant effect on the economic outcomes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".