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The diagnostic pathway in complex paediatric neurology: a cost analysis
K J M van Nimwegen1, J H Schieving2, M A A P Willemsen2
1Radboud University Medical Center, Department for Health Evidence, Radboud Institute for Health Sciences, Nijmegen, The Netherlands.
The diagnostic journey for complex pediatric neurological disorders is long, costly, and rarely yields a diagnosis. This study highlights the need for improved diagnostic approaches, such as whole exome sequencing, to enhance patient outcomes.
Area of Science:
- Paediatric Neurology
- Medical Genetics
- Health Economics
Background:
- Complex paediatric neurological disorders often involve lengthy, burdensome, and expensive diagnostic pathways with modest diagnostic yields.
- Innovations like whole exome sequencing may improve diagnostic trajectories.
- Mapping current pathways is crucial for evaluating new diagnostic technologies.
Purpose of the Study:
- To assess healthcare resource utilization and associated costs in the diagnostic trajectory of complex paediatric neurological disorders in the Netherlands.
- To establish a baseline for evaluating the impact of novel diagnostic techniques.
Main Methods:
- A cohort of 50 patients with complex paediatric neurological disorders of suspected genetic origin was studied.
- Healthcare resource utilization data were collected from medical charts.
- Unit prices were obtained from official Dutch sources and hospital administration.
- Bootstrap simulations were used to determine mean quantities and costs.
Main Results:
- The mean diagnostic trajectory duration was 40 months, with a diagnosis established in only 6% of patients.
- Patients averaged 16 physician visits, 4 imaging tests, 2 neurophysiologic tests, 8 genetic tests, and 16 other tests.
- Mean costs per patient were €12,475, with genetic tests accounting for 43% and hospital visits for 25%.
Conclusions:
- Current diagnostic trajectories for paediatric neurological disorders with suspected genetic origins are lengthy, resource-intensive, and low-yield.
- The findings provide essential data for evaluating the cost-effectiveness and impact of implementing new technologies like whole exome sequencing.
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