Cost-Effectiveness of Newborn Screening for Spinal Muscular Atrophy in Australian Hospitals.

INTRODUCTION

This analysis evaluated the cost-effectiveness of newborn screening (NBS) for spinal muscular atrophy (SMA) from the perspective of Australian state hospital payers.

METHODS

A cost-utility analysis consisting of a decision tree and Markov cohort designed to calculate the difference in costs and health outcomes between two scenarios: (1) disease-modifying treatment (DMT) for SMA after diagnosis through NBS, and (2) DMT for SMA after diagnosis as symptoms appear. A population of 295,906 newborns was modeled, based on the total number of live births in Australia in 2023. Inputs included screening parameters, epidemiology inputs, SMA natural history data and DMT parameters (nusinersen and onasemnogene abeparvovec), costs, and health-related quality of life parameters. Assumed participation in NBS was 100%. A one-way sensitivity analysis and probabilistic sensitivity analysis were conducted to examine the impact of parameter uncertainty.

RESULTS

There were 30 patients identified with SMA, of whom 25 patients would be eligible for presymptomatic treatment. NBS for SMA was dominant compared with no NBS for SMA. On a population level, NBS demonstrated a lifetime gain of 267 quality-adjusted life years (QALY) and incremental costs of -AUD$3,983,263 (i.e., cost savings). Every dollar invested in NBS would save hospitals $3.69. Deterministic and probabilistic sensitivity analyses demonstrated the robustness of the base-case results.

CONCLUSION

NBS for SMA was dominant compared with no NBS for SMA in Australia from a state and territory payer perspective. Universal implementation of NBS for SMA would support access equity, as well as early diagnosis and treatment in infants with SMA, potentially leading to improved outcomes.