ArticleEpilepsia2022
Clinician preferences for neurotechnologies in pediatric drug-resistant epilepsy: A discrete choice experiment.
Article in Epilepsia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- A deep representation learning model to predict response to vagus nerve stimulation.Nature communications · 2026Article
- Understanding and overcoming delays to pediatric epilepsy surgery: a scoping review.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026Article
- Article
- Public Perceptions of Neurotechnologies Used to Target Mood, Memory, and Motor Symptoms.Device · 2025Article
- Efficacy and Safety of Vagus Nerve Stimulation in Lennox-Gastaut Syndrome: A Scoping Review.Children (Basel, Switzerland) · 2024Article
- Role Preferences in Medical Decision Making: Relevance and Implications for Health Preference Research.The patient · 2024Article
- Education Research: Virtual Patient Management Conference for Epilepsy Surgery in the Post-COVID-19 Era: An Educational Perspective.Neurology. Education · 2023Article
- Clinician preferences for neurotechnologies in pediatric drug-resistant epilepsy: A discrete choice experiment.Epilepsia · 2022Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
objectiveNovel and minimally invasive neurotechnologies offer the potential to reduce the burden of epilepsy while avoiding the risks of conventional resective surgery. Few neurotechnologies have been tested in randomized controlled trials with pediatric populations, leaving clinicians to face decisions about whether to recommend these treatments with insufficient evidence about the relevant risks and benefits. This study specifically explores the preferences of clinicians for treating pediatric drug-resistant epilepsy (DRE) with novel neurotechnologies.
methodsA discrete-choice experiment (DCE) was designed to elicit the preferences of clinicians with experience in treating children with DRE using novel neurotechnological interventions. The preferences for six key attributes used when making treatment decisions (chances of clinically significant improvement in seizures, major and minor risks from intervention, availability of evidence, financial burden for the family, and access to the intervention) were estimated using a conditional logit model. The estimates from this model were then used to predict the adoption of existing novel neurotechnological interventions.
resultsSixty-eight clinicians completed the survey: 33 neurosurgeons, 28 neurologists, and 7 other clinicians. Most clinicians were working in the United States (74%), and the remainder (26%) in Canada. All attributes, apart from the nearest location with access to the intervention, influenced preferences significantly. The chance of clinically significant improvement in seizures was the most positive influence on clinician preferences, but low-quality evidence and a higher risk of major complications could offset these preferences. Of the existing neurotechnological interventions, vagus nerve stimulation was predicted to have the highest likelihood of adoption; deep brain stimulation had the lowest likelihood of adoption. SIGNIFICANCE: The preferences of clinicians are drive primarily by the likelihood of achieving seizure freedom for their patients, but preferences for an intervention are largely eradicated if only low quality of evidence supporting the intervention is available. Until better evidence supporting the use of potentially effective, novel neurotechnologies becomes available, clinicians are likely to prefer more established treatments.
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