ArticleEpilepsia2022
Parental preferences for seizure detection devices: 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 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring.Annals of clinical and translational neurology · 2026Article
- Tonic-clonic seizures captured during ambulatory video-EEG are frequently unreported.Epilepsia · 2026Article
- Sounding the Alarm: Accuracy of Seizure Detection Devices.Epilepsy currents · 2026Article
- Sudden unexpected death in epilepsy (SUDEP): Risk management of pediatric patients with epilepsy.Epilepsia open · 2026Article
- Users' perspectives and preferences on using wearables in epilepsy: A critical review.Epilepsia · 2025Review
- Seizure Detection Devices.Journal of clinical medicine · 2025Review
- Article
- Decision Trade-Offs in Ecological Momentary Assessments and Digital Wearables Uptake: Protocol for a Discrete Choice Experiment.JMIR research protocols · 2023Article
- Article
- Sudden unexpected death in epilepsy.Current opinion in neurology · 2022Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePrevious studies identified essential user preferences for seizure detection devices (SDDs), without addressing their relative strength. We performed a discrete choice experiment (DCE) to quantify attributes' strength, and to identify the determinants of user SDD preferences.
methodsWe designed an online questionnaire targeting parents of children with epilepsy to define the optimal balance between SDD sensitivity and positive predictive value (PPV) while accounting for individual seizure frequency. We selected five DCE attributes from a recent study. Using a Bayesian design, we constructed 11 unique choice tasks and analyzed these using a mixed multinomial logit model.
resultsOne hundred parents responded to the online questionnaire link; 49 completed all tasks, whereas 28 completed the questions, but not the DCE. Most parents preferred a relatively high sensitivity (80%-90%) over a high PPV (>50%). The preferred sensitivity-to-PPV ratio correlated with seizure frequency (r = -.32), with a preference for relative high sensitivity and low PPV among those with relative low seizure frequency (p = .04). All DCE attributes significantly impacted parental choices. Parents expressed preferences for consulting a neurologist before device use, personally training the device's algorithm, interaction with their child via audio and video, alarms for all seizure types, and an interface detailing measurements during an alarm. Preferences varied between subgroups (learning disability or not, SDD experience, relative low vs. high seizure frequency based on the population median). SIGNIFICANCE: Various attributes impact parental SDD preferences and may explain why preferences vary among users. Tailored approaches may help to meet the contrasting needs among SDD users.
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