Genomic sequencing for the diagnosis of childhood mitochondrial disorders: a health economic evaluation.
You WuShanti BalasubramaniamRocio RiusDavid R ThorburnJohn ChrisodoulouIlias GoranitisPublished in: European journal of human genetics : EJHG (2021)
The diagnostic and clinical benefits of genomic sequencing are being increasingly demonstrated across multiple rare genetic conditions. Despite the expanding clinical literature, there is a significant paucity of health economics evidence to inform the prioritization and implementation of genomic sequencing. This study aims to evaluate whether genomic sequencing for pediatric-onset mitochondrial disorders (MDs) is cost-effective and cost-beneficial relative to conventional care from an Australian healthcare system perspective. Two independent and complementary health economic modeling approaches were used. Approach 1 used a decision tree to model the costs and outcomes associated with genomic sequencing and conventional care. Approach 2 used a discrete-event simulation to incorporate heterogeneity in the condition and clinical practice. Deterministic and probabilistic sensitivity analyses were performed. Genomic sequencing was less costly and more effective compared with conventional care, saving AU$1997 (Approach 1) to AU$8823 (Approach 2) per child tested, while leading to an additional 11 (Approach 1) to 14 (Approach 2) definitive diagnoses per 100 children tested. The mean monetary value of the incremental benefits of genomic sequencing was estimated at AU$5890 (95% CI: AU$5730-$6046). Implementation of genomic sequencing for MDs in Australia could translate to an annual cost-saving of up to AU$0.7 million. Genomic sequencing is cost-saving relative to traditional investigative approaches, while enabling more diagnoses to be made in a timely manner, offering substantial personal benefits to children and their families. Our findings support the prioritization of genomic sequencing for children with MDs.
Keyphrases
- single cell
- healthcare
- copy number
- public health
- mental health
- quality improvement
- sensitive detection
- systematic review
- clinical practice
- reduced graphene oxide
- oxidative stress
- squamous cell carcinoma
- metabolic syndrome
- type diabetes
- gold nanoparticles
- health information
- genome wide
- adipose tissue
- skeletal muscle
- climate change
- risk assessment
- affordable care act