LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Preferences and User Experiences of Wearable Devices in Epilepsy

Photo from wikipedia

Background and Objectives To examine the preferences and user experiences of people with epilepsy and caregivers regarding automated wearable seizure detection devices. Methods We performed a mixed-methods systematic review. We… Click to show full abstract

Background and Objectives To examine the preferences and user experiences of people with epilepsy and caregivers regarding automated wearable seizure detection devices. Methods We performed a mixed-methods systematic review. We searched electronic databases for original peer-reviewed publications between January 1, 2000, and May 26, 2021. Key search terms included “epilepsy,” “seizure,” “wearable,” and “non-invasive.” We performed a descriptive and qualitative thematic analysis of the studies included according to the technology acceptance model. Full texts of the discussion sections were further analyzed to identify word frequency and word mapping. Results Twenty-two observational studies were identified. Collectively, they comprised responses from 3,299 participants including patients with epilepsy, caregivers, and healthcare workers. Sixteen studies examined user preferences, 5 examined user experiences, and 1 examined both experiences and preferences. Important preferences for wearables included improving care, cost, accuracy, and design. Patients desired real-time detection with a latency of ≤15 minutes from seizure occurrence, along with high sensitivity (≥90%) and low false alarm rates. Device-related costs were a major factor for device acceptance, where device costs of <$300 USD and a monthly subscription fee of <$20 USD were preferred. Despite being a major driver of wearable-based technologies, sudden unexpected death in epilepsy was rarely discussed. Among studies evaluating user experiences, there was a greater acceptance toward wristwatches. Thematic coding analysis showed that attitudes toward device use and perceived usefulness were reported consistently. Word mapping identified “specificity,” “cost,” and “battery” as key single terms and “battery life,” “insurance coverage,” “prediction/detection quality,” and the effect of devices on “daily life” as key bigrams. Discussion User acceptance of wearable technology for seizure detection was strongly influenced by accuracy, design, comfort, and cost. Our findings emphasize the need for standardized and validated tools to comprehensively examine preferences and user experiences of wearable devices in this population using the themes identified in this study. Greater efforts to incorporate perspectives and user experiences in developing wearables for seizure detection, particularly in community-based settings, are needed. Trial Registration Information PROSPERO Registration CRD42020193565.

Keywords: seizure; wearable devices; user experiences; detection; experiences wearable; preferences user

Journal Title: Neurology
Year Published: 2022

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.