Identification of seizure clusters using free text notes in an electronic seizure diary

The value of self-reported variables in epilepsy monitoring and management. A systematic scoping review

PURPOSE

Self-reported records of seizure occurrences, seizure triggers and prodromal symptoms via paper or electronic tools are essential components of epilepsy management. Despite recent studies indicating that this information could hold important clinical value, the adoption of self-reported information in clinical practice is inconsistent and of uncertain value.

METHODS

We performed a systematic scoping review of the literature following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A combination of different digital libraries was used (Embase, MEDLINE, Global Health, PsycINFO). The review examined acceptability, adherence, and ability to self-report or predict seizures, along with innovative applications of self-reported data. We comprehensively outline study characteristics, key results, and identified strengths and limitations.

RESULTS

Sixty-eight full-text and two abstracts were included, where a total of 10 electronic tools were identified. Studies revealed high patient interest and acceptable adherence, particularly when tools were well-designed, and data shared with healthcare providers. While patients faced challenges in self-reporting or predicting seizures, a subgroup exhibited higher accuracy and compliance. Studies underscored the value of self-report information in identifying seizure clusters, understanding associations between self-reported seizure frequency and triggers, developing personalized seizure risk, forecasting and prediction models, and the potential benefits when integrated with wearable or implantable devices. Limitations included population selection, repeated dataset use, and the absence of gold standards for seizure counting.

CONCLUSION

Personalizing tools to collect self-report information, integrating them with wearable technologies, utilizing collected data for clinical outcomes, and merging them with electronic health records could provide a reliable resource for epilepsy monitoring and management.

Capturing patient experiences of care with digital technology to improve service delivery and quality of care: A scoping review

Objective

Patient experience significantly impacts healthcare quality, outcomes, resource utilisation and treatment adherence. Digital technologies offer promising approaches for capturing real-time, multi-faceted patient experiences. This scoping review investigated how digital technologies are used to capture patient experience during healthcare encounters and their potential to improve health service delivery and care.

Methods

A scoping review was conducted to determine associations between patients' use of digital technology and subsequent outcomes. Four electronic databases were searched using six combination search terms in titles and/or abstracts published between 2016 and 2022. Inclusion criteria focused on studies where patients were primary users of digital technology, reporting on their experience during care. Studies had to report on at least one outcome: health service delivery, quality of care or patient experience. Screening, data extraction and analysis were performed systematically.

Results

Of the 377 studies retrieved, 20 were included. Most studies incorporated aspects allowing patients to share experiences with digital technologies. Eighty percent (n = 16) of studies reported improvements in patient experiences, 75% (n = 15) enhancements in service delivery aspects and 50% (n = 10) indicated improved quality of care associated with the use of digital technologies. Real-time journaling and narrative methods alongside treatment were linked to improved communication, healthcare efficiencies and patient agency. Technologies facilitating bidirectional communication were particularly associated with positive effects on patients' sense of agency.

Conclusion

Digital technologies facilitating documentation of patient experiences demonstrate potential in enhancing care quality through increased patient voice, collaboration and agency. Technologies designed to map and evaluate patients' healthcare experiences represent a promising approach to improving healthcare outcomes, service delivery and overall patient experience. Further research is needed to establish standardised methodologies and evaluate long-term impacts across diverse populations. Integrating digital narrative medicine principles may offer valuable insights for future interventions aimed at capturing and enhancing patient experiences in healthcare.

Economic aspects of treating seizure clusters

Seizure clusters may initiate a chain of events that have economic as well as clinical consequences. The potential economic consequences of seizure clusters must be weighed against the cost of medication to attenuate them. This is true both for individual patients and for society. Data needed for economic analyses include the chance that a cluster will progress to an adverse outcome, such as a need for emergency care, the costs of such an outcome, the cost of a rescue medication (RM), and the effectiveness of the RM. Indirect costs, such as lost employment for patients and caregivers, must also be considered. Several types of economic analyses can be used to determine costs and benefits of a medical intervention. There are studies comparing different RMs from an economic perspective, but there is little direct information on the costs of using an RM versus allowing clusters to run their course. However, the high expense of consequences of seizure clusters makes it likely that effective RMs will make economic as well as medical sense for many patients.

Seizure documentation in people living with epilepsy

Seizure documentation is an essential component of epilepsy management. Not all persons with epilepsy choose to document their seizures, but many view the practice as essential to managing their disease. While seizure documentation is a valuable aspect of patient care, clinicians and patients must remain aware that seizure underreport and overreport commonly occur due to lack of seizure awareness. Additionally, in rare cases, persons with epilepsy may intentionally conceal their seizures from clinicians. The continued development of electronic seizure diaries and epilepsy self-management software provides patients with new and expanding options for seizure documentation and disease management. In order for these tools to be utilized most effectively, patient input must be central to their development. Given the limitations of seizure documentation, the development of accurate, non-invasive seizure detection devices is crucial for accurate seizure monitoring.