Approach to Patients with Seizures and Epilepsy: A Guide for Primary Care Physicians.

Seizures and epilepsy are common neurologic conditions that are frequently encountered in the outpatient primary care setting. An accurate diagnosis relies on a thorough clinical history and evaluation. Understanding seizure semiology and classification is crucial in conducting the initial assessment. Knowledge of common seizure triggers and provoking factors can further guide diagnostic testing and initial management. The pharmacodynamic characteristics and side effect profiles of anti-seizure medications are important considerations when deciding treatment and counseling patients, particularly those with comorbidities and in special populations such as patient of childbearing potential.

Efficacy and safety of herbal medicine combined with acupuncture in pediatric epilepsy treatment: A meta-analysis of randomized controlled trials.

OBJECTIVE: To evaluate the efficacy and safety of herbal medicine and acupuncture combination for pediatric epilepsy treatment. METHODS: Databases were searched from their interception until October 2023 to identify randomized controlled trials focusing on the therapeutic efficacy of herbal medicine-acupuncture combination (intervention group) for pediatric epilepsy. The primary outcome was the risk of treatment failure, whereas the secondary outcomes included the risk of post-treatment electroencephalogram (EEG) abnormalities and adverse events. Subgroup analyses were conducted based on the type of herbal compound formulas. Meta-regression analysis was conducted to examine the influence of patient demographics and clinical history on the therapeutic efficacy of herbal medicine-acupuncture combination for pediatric epilepsy. To assess the cumulative evidence, trial sequential analysis (TSA) was performed. RESULTS: The analysis included 10 trials involving a total of 882 pediatric patients. Meta-analysis revealed that the intervention group had a lower risk of treatment failure than the control group (risk ratio [RR] = 0.3, 95% confidence interval [CI]: 0.19-0.47, P<0.00001, I2 = 0%, 10 trials). Subgroup analyses showed that therapeutic efficacy was consistent among the different herbal compound formulas. Meta-regression analysis revealed that the efficacy of the treatments did not significantly vary with patient age, male sex, and duration of seizure history. TSA suggested that herbal medicine-acupuncture combination exerted a robust and conclusive effect on seizure treatment. Although the combined used of herbal medicine and acupuncture was not associated with a lower risk of post-treatment EEG abnormalities (RR = 0.82, 95%CI:0.6-1.11, P = 0.2, 3 trials), the risk of adverse events was reduced (RR = 0.27, 95%CI:0.18-0.41, P<0.00001, 4 trials). CONCLUSION: The meta-analysis suggested that combined use of herbal medicine and acupuncture is a promising and safe clinical approach for pediatric epilepsy treatment. Further large-scale studies are necessary to conclusively determine the efficacy and safety of herbal medicine and acupuncture in pediatric epilepsy treatment.

The miR-23b-3p from adipose-derived stem cell exosomes alleviate inflammation in mice experiencing kainic acid-induced epileptic seizures.

Epilepsy is a common neurologic disorder. While a good clinical solution is still missing, studies have confirmed that exosomes (Exos) derived from adipose-derived stem cells (ADSCs) had a therapeutic effect on various diseases, including neurological diseases. Therefore, this study aimed to reveal whether ADSC-Exo treatment could improve kainic acid (KA)-induced seizures in epileptic mice. ADSCs and Exos were isolated. Mice were generated with KA-induced epileptic seizures. ELISA was used to detect inflammatory factor expression. Luciferase reporter analysis detection showed a relationship among miR-23b-3p, STAT1, and glyoxylate reductase 1 (GlyR1). ADSC-Exos had a protective effect on KA-induced seizures by inhibiting inflammatory factor expression and the M1 microglia phenotype. The result showed that miR-23b-3p played an important role in the Exo-mediated protective effect in KA-induced seizures in epileptic mice by regulating STAT1 and GlyR1. Luciferase reporter analysis confirmed that miR-23b-3p interacted with the 3'-UTR of STAT1 and GlyR1. The miR-23b-3p inhibited M1 microglia-mediated inflammatory factor expression in microglial cells by regulating STAT1 and GlyR1. The downregulation of miR-23b-3p decreased the protective effect of ADSC-Exos on KA-induced seizures in epileptic mice. The miR-23b-3p from ADSC-Exos alleviated inflammation in mice with KA-induced epileptic seizures.

Lead-free dual-frequency ultrasound implants for wireless, biphasic deep brain stimulation.

Ultrasound-driven bioelectronics could offer a wireless scheme with sustainable power supply; however, current ultrasound implantable systems present critical challenges in biocompatibility and harvesting performance related to lead/lead-free piezoelectric materials and devices. Here, we report a lead-free dual-frequency ultrasound implants for wireless, biphasic deep brain stimulation, which integrates two developed lead-free sandwich porous 1-3-type piezoelectric composite elements with enhanced harvesting performance in a flexible printed circuit board. The implant is ultrasonically powered through a portable external dual-frequency transducer and generates programmable biphasic stimulus pulses in clinically relevant frequencies. Furthermore, we demonstrate ultrasound-driven implants for long-term biosafety therapy in deep brain stimulation through an epileptic rodent model. With biocompatibility and improved electrical performance, the lead-free materials and devices presented here could provide a promising platform for developing implantable ultrasonic electronics in the future.

A multicenter randomized controlled feasibility trial of a digital self-management intervention for adults with epilepsy.

OBJECTIVE: Self-management interventions may enhance health-related quality of life (HRQoL) in epilepsy. However, several barriers often impair their implementation in the real world. Digital interventions may help to overcome some of these barriers. Considering this, the Helpilepsy Plus Prototype was developed as a prototype smartphone-delivered self-care treatment program for adults with epilepsy. METHODS: The 12-week Helpilepsy Plus Prototype was evaluated through a randomized controlled feasibility trial with a waiting-list control (WLC) group. Outcome measurement at baseline and at 12 weeks assessed adherence to the prototype intervention and changes in epilepsy-related outcomes. The primary endpoint was patient autonomy measured with EASE, and secondary endpoints included HRQoL measured with QOLIE-31, health literacy measured with HLQ, anxiety, and depression symptoms measured with HADS. Semi-structured interviews were conducted with a heterogeneous sample of participants to assess user-friendliness and usefulness. The prototype program was delivered through the Neuroventis Platform (Neuroventis, BV, Overijse, Belgium), a certified medical device (under EU/MDD Class I, and EU/MDR grace period). RESULTS: Ninety-two patients were included (46 in the intervention group, 46 in WLC). Most participants (63%, 58/92 women, median age 30 years) had pharmacoresistant epilepsy (61%, 56/92). Only 22% of participants (10/46) in the intervention group completed at least half of all intervention sessions. No significant differences between the intervention group and WLC were observed. Although there was a larger proportion of patients in the intervention group with meaningful improvements in HRQoL compared to WLC (19/46 versus 11/46), the difference was not significant (p = 0.119). Qualitative feedback showed that participants would appreciate more personalization, such as adaptation of the content to their current epilepsy knowledge level, a more interactive interface, shorter text sections, and interaction through reminders and notifications. SIGNIFICANCE: Digital interventions should allow sufficient scope for personalization and interaction to increase patient engagement and enable benefits from self-care apps. Feedback loops allow the participatory development of tailored interventions. PLAIN LANGUAGE SUMMARY: In this study, we investigated the effectiveness of an app-based self-help intervention. Study participants were either randomly assigned to a group that had access to the app or a group that received access to the app after the end of the study. Although a larger proportion of participants in the intervention group showed a relevant improvement in quality of life, the difference between the two groups was not statistically significant. Less than one-fifth of participants in the intervention group attended at least half of all intervention sessions; patient feedback showed that patients required more personalization and interactive options.

Artificial intelligence in epilepsy - applications and pathways to the clinic.

Artificial intelligence (AI) is rapidly transforming health care, and its applications in epilepsy have increased exponentially over the past decade. Integration of AI into epilepsy management promises to revolutionize the diagnosis and treatment of this complex disorder. However, translation of AI into neurology clinical practice has not yet been successful, emphasizing the need to consider progress to date and assess challenges and limitations of AI. In this Review, we provide an overview of AI applications that have been developed in epilepsy using a variety of data modalities: neuroimaging, electroencephalography, electronic health records, medical devices and multimodal data integration. For each, we consider potential applications, including seizure detection and prediction, seizure lateralization, localization of the seizure-onset zone and assessment for surgical or neurostimulation interventions, and review the performance of AI tools developed to date. We also discuss methodological considerations and challenges that must be addressed to successfully integrate AI into clinical practice. Our goal is to provide an overview of the current state of the field and provide guidance for leveraging AI in future to improve management of epilepsy.

The effect of 20-minute mindful breathing exercise on psychological well-being in epilepsy: A pilot randomized controlled trial.

INTRODUCTION: Depression and anxiety are prevalent in epilepsy patients, but psychiatric or psychological services may not be accessible to all patients. This study aimed to determine the effectiveness of the 20-minute mindful breathing on the psychological well-being of PWE using an instructional video. METHOD: This was a pilot, assessor-blinded, randomized controlled trial. The intervention group received a guided video and was briefed to perform the exercise twice a week for two weeks while the waitlist control group only received the video upon completion of the study. The subjects were assessed at three-time points (T0: Baseline, T1: 2 weeks after the intervention, T2: 4 weeks after intervention), using the Neurological Disorders Depression Index (NDDI-E), General Anxiety Disorder (GAD-7), Quality of Life in Epilepsy Inventory (QOLIE-31) and Mindfulness Attention Awareness Scale (MAAS). RESULTS: Twenty patients were recruited, with 10 in the intervention and waitlist-control groups. Compared with the waitlist-control group, participants in the intervention group showed significant improvement in NDDI-E at T1 (p = 0.022) but not at T2 (p = 0.056) and greater improvement in GAD-7 at T1 and T2 but not statistically significant. The QOLIE-31 overall score in the intervention group has significantly improved at T1 (p = 0.036) and T2 (p = 0.031) compared to the waitlist-control group. For MAAS, the intervention group also had an increased score at T2 (p = 0.025). CONCLUSION: The 20-minute mindfulness breathing exercise has an immediate effect in improving depression and quality of life among people with epilepsy.

Being an adolescent with epilepsy during the transition from pediatric to adult hospital care: A qualitative descriptive study.

BACKGROUND: The transition from pediatric to adult care is challenging for adolescent patients despite numerous recommendations in recent decades. However, the perspective of the patients is sparsely investigated. AIM: To explore the experiences and needs of adolescents with epilepsy (AWE) during the transition from pediatric to adult hospital care. METHODS: We conducted 15 semi-structured interviews with AWEs aged 13-20 years and 10 h of field observations of consultations. Interviews were audio-recorded, transcribed, anonymized, and entered into NVivo (version 12, QSR International) with the transcribed field notes. Data were analyzed using systematic text condensation. RESULTS: Three themes were identified: (1) Navigating epilepsy in everyday life; (2) The difficult balance between concealment and openness about epilepsy; and (3) Being seen as an individual and not an illness. AWEs' needs in transition are closely associated with their experiences and perceptions of illness, treatment, consultations, and seizures. Notably, AWEs reveal a significant concern about being overlooked beyond their medical condition in appointments. CONCLUSIONS: This study highlights the vulnerability and challenges of AWEs transitioning to adult care. Overall, AWEs seek understanding, acceptance, and autonomy in managing their epilepsy and transitioning to adult care. Their experiences underscore the importance of holistic support and communication in healthcare settings. A concerted effort from healthcare professionals (HCP) is necessary to foster the recognition of AWEs as individuals with distinct personalities, needs, and capabilities.

Multi-scale modelling of the epileptic brain: advantages of computational therapy exploration.

Objective: Epilepsy is a complex disease spanning across multiple scales, from ion channels in neurons to neuronal circuits across the entire brain. Over the past decades, computational models have been used to describe the pathophysiological activity of the epileptic brain from different aspects. Traditionally, each computational model can aid in optimizing therapeutic interventions, therefore, providing a particular view to design strategies for treating epilepsy. As a result, most studies are concerned with generating specific models of the epileptic brain that can help us understand the certain machinery of the pathological state. Those specific models vary in complexity and biological accuracy, with system-level models often lacking biological details.Approach: Here, we review various types of computational model of epilepsy and discuss their potential for different therapeutic approaches and scenarios, including drug discovery, surgical strategies, brain stimulation, and seizure prediction. We propose that we need to consider an integrated approach with a unified modelling framework across multiple scales to understand the epileptic brain. Our proposal is based on the recent increase in computational power, which has opened up the possibility of unifying those specific epileptic models into simulations with an unprecedented level of detail.Main results: A multi-scale epilepsy model can bridge the gap between biologically detailed models, used to address molecular and cellular questions, and brain-wide models based on abstract models which can account for complex neurological and behavioural observations.Significance: With these efforts, we move toward the next generation of epileptic brain models capable of connecting cellular features, such as ion channel properties, with standard clinical measures such as seizure severity.

Analysis of mechanism of core points in acupuncture and moxibustion treatment for epilepsy based on data mining. / åŸºäºŽæ•°æ®æŒ–æŽ˜æŽ¢è®¨é’ˆç¸æ²»ç–—ç™«ç—«æ ¸å¿ƒç©´ä½çš„ä½œç”¨æœºåˆ¶.

OBJECTIVES: To explore the mechanism of core points in acupuncture and moxibustion treatment for epilepsy by using data mining technique, so as to provide a reference for clinical practice and experimental research. METHODS: The data comes from relevant documents collected from CNKI, Wanfang, SinoMed, VIP, PubMed, Embase, Cochrane Library, EBSCO, Web of Science databases. The selected acupoints were analyzed in descriptive statistics, high-frequency acupoints group and core acupoint prescription. Further, potential target mining, "core acupoint prescription-target-epilepsy" network construction, protein-protein interactions (PPI) network establishment and core target extraction, gene ontology (GO) and KEGG gene enrichment analysis of the core acupoint prescription were carried out to predict its anti-epileptic potential mechanism. RESULTS: A total of 122 acupoint prescriptions were included. The core acupoint prescriptions were Baihui (GV20), Hegu (LI4), Neiguan (PC6), Shuigou (GV26) and Taichong (LR3). 277 potential targets were identified, among which 134 were shared with epilepsy. The core targets were extracted by PPI network topology analysis, including signal transducer and activator of transcription 3, tumor necrosis factor (TNF), interleukin (IL)-6, protein kinase B1, c-Jun N-terminal kinase, brain-derived neurotrophic factor, tumor protein 53, vascular endothelial growth factor A, Caspase-3, epidermal growth factor receptor, etc. The main anti-epileptic pathways of the core acupoints were predicted by KEGG enrichment, including lipid and atherosclerosis, neurodegeneration, phosphatidylinositol-3-kinase/protein B kinase signaling pathway, mitogen-activated protein kinase signaling pathway, cyclic adenosine monophosphate signaling pathway, TNF signaling pathway, IL-17 signaling pathway, hypoxia-inducible factor-1 signaling pathway, apoptosis, etc., involving neuronal death, synaptic plasticity, oxidative stress, inflammation and other related biological process. CONCLUSIONS: The core acupoint prescription of acupuncture and moxibustion intervention for epilepsy can act on multiple targets and multiple pathways to exert anti-epileptic effects, which can provide a theoretical basis for further clinical application and mechanism research.

Improving epilepsy diagnosis across the lifespan: approaches and innovations.

Epilepsy diagnosis is often delayed or inaccurate, exposing people to ongoing seizures and their substantial consequences until effective treatment is initiated. Important factors contributing to this problem include delayed recognition of seizure symptoms by patients and eyewitnesses; cultural, geographical, and financial barriers to seeking health care; and missed or delayed diagnosis by health-care providers. Epilepsy diagnosis involves several steps. The first step is recognition of epileptic seizures; next is classification of epilepsy type and whether an epilepsy syndrome is present; finally, the underlying epilepsy-associated comorbidities and potential causes must be identified, which differ across the lifespan. Clinical history, elicited from patients and eyewitnesses, is a fundamental component of the diagnostic pathway. Recent technological advances, including smartphone videography and genetic testing, are increasingly used in routine practice. Innovations in technology, such as artificial intelligence, could provide new possibilities for directly and indirectly detecting epilepsy and might make valuable contributions to diagnostic algorithms in the future.

Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application.

BACKGROUND: The effective management of epilepsy in women of child-bearing age necessitates a concerted effort from multidisciplinary teams. Nevertheless, there exists an inadequacy in the seamless exchange of knowledge among healthcare providers within this context. Consequently, it is imperative to enhance the availability of informatics resources and the development of decision support tools to address this issue comprehensively. MATERIALS AND METHODS: The development of the Women with Epilepsy of Child-Bearing Age Ontology (WWECA) adhered to established ontology construction principles. The ontology's scope and universal terminology were initially established by the development team and subsequently subjected to external evaluation through a rapid Delphi consensus exercise involving domain experts. Additional entities and attribute annotation data were sourced from authoritative guideline documents and specialized terminology databases within the respective field. Furthermore, the ontology has played a pivotal role in steering the creation of an online question-and-answer system, which is actively employed and assessed by a diverse group of multidisciplinary healthcare providers. RESULTS: WWECA successfully integrated a total of 609 entities encompassing various facets related to the diagnosis and medication for women of child-bearing age afflicted with epilepsy. The ontology exhibited a maximum depth of 8 within its hierarchical structure. Each of these entities featured three fundamental attributes, namely Chinese labels, definitions, and synonyms. The evaluation of WWECA involved 35 experts from 10 different hospitals across China, resulting in a favorable consensus among the experts. Furthermore, the ontology-driven online question and answer system underwent evaluation by a panel of 10 experts, including neurologists, obstetricians, and gynecologists. This evaluation yielded an average rating of 4.2, signifying a positive reception and endorsement of the system's utility and effectiveness. CONCLUSIONS: Our ontology and the associated online question and answer system hold the potential to serve as a scalable assistant for healthcare providers engaged in the management of women with epilepsy (WWE). In the future, this developmental framework has the potential for broader application in the context of long-term management of more intricate chronic health conditions.

Cell-specific extracellular vesicle-encapsulated exogenous GABA controls seizures in epilepsy.

BACKGROUND: Epilepsy affects ∼60 million people worldwide. Most antiseizure medications in the market act on voltage-gated sodium or calcium channels, indirectly modulating neurotransmitter GABA or glutamate levels or multiple targets. Earlier studies made significant efforts to directly deliver GABA into the brain with varied success. Herein, we have hypothesized to directly deliver exogenous GABA to the brain with epilepsy through extracellular vesicles (EVs) from human GABA-producing cells and their progenitors as EVs largely mimic their parent cell composition. METHODS: Human neural stem cells (NSCs), medial ganglionic eminence (MGE) cells, and GABAergic interneurons (INs) were generated from induced pluripotent stem cells (iPSCs) and characterized. EVs were isolated from NSCs, MGE cells, and INs and characterized for size and distribution, morphological features, and molecular markers. Exogenous GABA was passively loaded to the isolated EVs as a zwitterion at physiological pH, and the encapsulated dose of GABA was quantified. Epilepsy was developed through status epilepticus induction in Fisher rats by administration of repeated low doses of kainic acid. The extent of the seizures was measured for 10 h/ day for 3-6 months by video recording and its evaluation for stage III, IV and V seizures as per Racine scale. EVs from INs, MGE cells, and NSCs encapsulated with exogenous GABA were sequentially tested in the 4th, 5th, and 6th months by intranasal administration in the rats with epilepsy for detailed seizure, behavioral and synapse analysis. In separate experiments, several controls including exogenic GABA alone and EVs from INs and MGE cells were evaluated for seizure-controlling ability. RESULTS: Exogenic GABA could enter the brain through EVs. Treatment with EVs from INs and MGE cells encapsulated with GABA significantly reduced total seizures, stage V seizures, and total time spent in seizure activity. EVs from NSCs encapsulated with GABA demonstrated limited seizure control. Exogenic GABA alone and EVs from INs and MGE cells individually failed to control seizures. Further, exogenic GABA with EVs from MGE cells improved depressive behavior while partially improving memory functions. Co-localization studies confirmed exogenous GABA with presynaptic vesicles in the hippocampus, indicating the interaction of exogenous GABA in the brain with epilepsy. CONCLUSION: For the first time, the study demonstrated that exogenous GABA could be delivered to the brain through brain cell-derived EVs, which could regulate seizures in temporal lobe epilepsy. It is identified that the cellular origin of EVs plays a vital role in seizure control with exogenous GABA.

A simulation training of family management for parents of children with epilepsy: a randomized clinical trial.

BACKGROUND: Epilepsy is a chronic neurological disorder that is more likely to be diagnosed in children. The main treatment involves long-term use of anti-epileptic drugs and above all, home care is of great importance. As there has not been a widely accepted home care protocols, simulating a home care environment is necessary for caregivers to develop skills of proper home care. This study aims to evaluate the effectiveness of a simulation training of family management style (STOFMS) for parents of children with epilepsy in China. METHODS: A randomized controlled trial was conducted on 463 children with epilepsy and their families. They were recruited from March 2020 to November 2022 and randomly assigned to the STOFMS group or the conventional group in a 1:1 ratio. Scores of family management measures, 8-item of Morisky Medication Adherence and epilepsy clinical symptom of both groups were collected at three points of time: within 24 h after admission (T0), 3 months after discharge (T1), and 6 months after discharge (T2). Changes due to intervention were compared across groups by repeated-measures ANOVA. The study report followed the CONSORT 2010 checklist. RESULTS: There were statistically significant differences between the two groups at T2. A considerable increase over the baseline was observed in the total management level score and subscale scores in the STOFMS group at T1, compared with essentially no change in the control group. In terms of medication adherence, the STOFMS group performance improved greatly at T1 and T2 compared with the control group. The same result was also found in clinical efficacy at T2 (p < 0.05). CONCLUSION: STOFMS is an effective intervention to improve family management level, treatment adherence and clinical efficacy for children with epilepsy. TRIAL REGISTRATION: The registration number is ChiCTR2200065128. Registered at 18 October 2022, http://www.medresman.org.cn.

Disparities in Teleneurology Use in Medicaid Beneficiaries With Epilepsy by Practice Setting: Promoting Health Equity in Academic Centers.

BACKGROUND AND OBJECTIVES: Medicaid beneficiaries in many American academic medical centers can receive care in a separate facility than those not covered by Medicaid. We aimed to identify possible disparities in care by evaluating the association between facility type (integrated faculty practice or Medicaid-only outpatient clinic) and telehealth utilization in people with epilepsy. METHODS: We performed retrospective analyses using structured data from the Mount Sinai Health System electronic medical record data from January 2003 to August 2021. We identified people of all ages with epilepsy who were followed by an epileptologist after January 3, 2018, using a validated ICD-9-CM/10-CM coded case definition. We evaluated associations between practice setting and telehealth utilization, an outcome measure that captures the evolving delivery of neurologic care in a post-coronavirus disease 2019 era, using multivariable logistic regression. RESULTS: We identified 4,586 people with epilepsy seen by an epileptologist, including Medicaid beneficiaries in the Medicaid outpatient clinic (N = 387), Medicaid beneficiaries in the faculty practice after integration (N = 723), and non-Medicaid beneficiaries (N = 3,476). Patients not insured by Medicaid were significantly older (average age 40 years vs 29 in persons seen in Medicaid-only outpatient clinic and 28.5 in persons insured with Medicaid seen in faculty practice [p < 0.0001]). Medicaid beneficiaries were more likely to have drug-resistant epilepsy (DRE), with 51.94% of people seen in Medicaid-only outpatient clinic, 41.63% of Medicaid beneficiaries seen in faculty practice, and 37.2% of non-Medicaid beneficiaries having DRE (p < 0.0001). Medicaid outpatient clinic patients were less likely to have telehealth visits (phone or video); 81.65% of patients in the Medicaid outpatient clinic having no telehealth visits vs 71.78% of Medicaid beneficiaries in the faculty practice and 70.89% of non-Medicaid beneficiaries (p < 0.0001). In an adjusted logistic regression analysis, Medicaid beneficiaries had lower odds (0.61; 95% CI 0.46-0.81) of using teleneurology compared with all patients seen in faculty practice (p = 0.0005). DISCUSSION: Compared with the Medicaid-only outpatient clinic, we found higher telehealth utilization in the integrated faculty practice with no difference by insurance status (Medicaid vs other). Integrated care may be associated with better health care delivery in people with epilepsy; thus, future research should examine its impact on other epilepsy-related outcomes.

[An increasing prevalence of epilepsy and stagnating or decreasing health care resources makes nationwide implementation challenging]. / Följsamhet till ordination en av utmaningarna i epilepsivården.

The Swedish national guidelines for epilepsy stipulate regular health care contacts in the years following diagnosis, referral for epilepsy surgery in cases of pharmacoresistant epilepsy, multidisciplinary teams, and adequate patient information particularly for women of childbearing age. The last years have seen advances in many research areas of relevance for the basic epilepsy care, and Sweden has contributed regarding pharmacotherapy, seizure-related risks, sudden unexpected death in epilepsy (SUDEP), and digital tools. An increasing prevalence of epilepsy and stagnating or decreasing health care resources makes nationwide implementation of this knowledge challenging and increases the risk of unequal access to care. Innovation and focus on prioritized groups, such as newly diagnosed and persons with pharmacoresistant epilepsy or comorbidities, will be needed.

Service users' preferences and feasibility - which alternative care pathway for adult ambulance users achieves the optimal balance? Workshops for the COLLABORATE project.

INTRODUCTION: Adults presenting to the ambulance service for diagnosed epilepsy are often transported to emergency departments (EDs) despite no clinical need. An alternative care pathway (CP) could allow paramedics to divert them from ED and instigate ambulatory care improvements. To identify the most promising CP configuration for subsequent testing, the COLLABORATE project surveyed people with epilepsy and family/friends who had recently used the English ambulance service to elicit preferences for 288 CP configurations for different seizures. This allowed CPs to be ranked according to alignment with service users' preferences. However, as well as being acceptable to users, a CP must be feasible. We thus engaged with paramedics, epilepsy specialists and commissioners to identify the optimal configuration. METHODS: Three Knowledge Exchange workshops completed. Participants considered COLLABORATE's evidence on service users' preferences for the different configurations. Nominal group techniques elicited views on the feasibility of users' preferences according to APEASE criteria. Workshop groups specified the configuration/s considered optimum. Qualitative data was analysed thematically. Utility to users of the specified CP configurations estimated using the COLLABORATE preference survey data. RESULTS: Twenty-seven participants found service users' preferences broadly feasible and outlined delivery recommendations. They identified enough commonality in preferences for different seizures to propose a single CP. Its configuration comprised: 1) patients staying where they were; 2) paramedics having access to medical records; 3) care episodes lasting <6 h; 4) paramedics receiving specialist advice on the day; 5) patient's GP being notified; and 6) a follow-up appointment being arranged with an epilepsy specialist. Preference data indicated higher utility for this configuration compared to current care. DISCUSSION: Stakeholders are of the view that the CP configuration favoured by service users could be NHS feasible. It should be developed and evaluated.