Prevalence and cost of nonadherence with antiepileptic drugs in an adult managed care population

Multicentric study of adherence to antiseizure medications among adults with epilepsy attended in neurology departments in Burkina Faso

OBJECTIVE

To study the adherence of antiseizures medication in neurology in the city of Ouagadougou.

PATIENTS AND METHODS

We conducted a multicentric cross-sectional study on adherence to antiseizure medications among adult patients with epilepsy followed by outpatient neurology consultations. The patients were recruited from November 22, 2021 to February 22, 2022 in four departments of neurology. Adherence to antiseizure medications (ASM) was measured using the Morisky Medication Adhesion Scale (MMAS). Logistic regression analysis was used to investigate factors associated with adherence.

RESULTS

One hundred and seven patients with a mean age of 38.92 ± 16.06 years were included in the study. Most of the patients were men (52.34%). Twenty-eight patients complied well with ASM (26.17%). The main causes of nonadherence to treatment were forgetfulness and lack of financial means. Factors associated with nonadherence were rural residence (p = 0.023), celibacy or divorce (p = 0.002), low level of education (p = 0.028), perception of stigma (p = 0.026), duration of epilepsy <5 years (p = 0.009).

CONCLUSIONS

Adherence to ASM is low in Burkina Faso. The main causes of nonadherence were forgetting and insufficiency of financial resources. Rural residence, celibacy, or divorce, low level of education, perception of stigmatization, and short duration of epilepsy were associated with non-adherence.

PLAIN LANGUAGE SUMMARY

Studies on adherence to antiseizure medications are rare in Africa while patients do not have access to adequate treatment. The aim of our study was to evaluate the adherence to antiseizure medications among patients with epilepsy followed by the neurology departments in the city of Ouagadougou. Forgetfulness and financial insufficiency were the main causes of treatment interruption. Our study showed that most of the patients were non adherent. Several factors such as place of residence, level of education, and duration of epilepsy influence the level of compliance.

The eACT study design and methods: A sequential, multiple assignment, randomized trial of A novel adherence intervention for youth with epilepsy

BACKGROUND

Epilepsy is a common, chronic pediatric neurological condition predominately treated with anti-seizure medications (ASMs) to control or reduce seizures. Approximately 60 % of youth with epilepsy demonstrate suboptimal adherence to their ASM. This paper describes the methodology, recruitment, design, and baseline participant characteristics of a sequential, multiple assignment, randomized trial (SMART) designed to test the effectiveness of a behavioral health intervention to improve adherence in families of young children with epilepsy.

METHODS

Using a two-stage SMART, youth ages 2-12 years old with newly diagnosed epilepsy and their families were enrolled. Following an 8-week run-in phase, families with ≤95 % adherence were randomized to control (education + automated digital reminders) or intervention (education + automated digital reminders + individualized feedback) arms. After three months, families in the intervention group who remained non-adherent (i.e., ≤ 95 %) were re-randomized to 1) continue with same intervention or 2) receive two telehealth problem-solving sessions with an interventionist over the next two months. Study measures were completed at baseline, 8-, 14-, and 20-months post-baseline.

RESULTS

Of the n = 466 ethnically and racially diverse study participants, n = 268 participants were non-adherent and were randomized. The primary outcome was electronically monitored ASM adherence at post-intervention, while secondary outcomes included seizure freedom, health care utilization, and epilepsy-specific health-related quality of life.

CONCLUSIONS

Novel aspects of the trial design (e.g., sequential, recruitment of racial and ethnic diverse youth), modifications to the protocol related to the COVID-19 pandemic and evolving socio-political and medical climate, as well as recruitment and retention challenges are discussed.

CLINICALTRIALS

gov Number: NCT03817229.

Non-Adherence to Antiseizure Medications: Rate and Predictors in Saudi Arabia

Background and Objectives: The objective of this paper is to determine the rate and predictors of non-adherence to antiseizure medications in Saudi Arabia. Materials and Methods: A cross-sectional study which involved questionnaires and data collection from patients' medical records was conducted at neurology clinics. The rate of non-adherence to antiseizure medications was measured using "the Medication Adherence Rating Scale" (MARS). Predictors of non-adherence to antiseizure medications were evaluated using a multidimensional questionnaire specific to epilepsy. Results: One hundred and sixty-two patients participated in the study. The mean (SD) age was 34.1 (10.4) years, and 56% were male. Epilepsy was controlled (i.e., seizure-free ≥ 1 year) in 42% of patients. The mean ± SD (range) MARS scores were 7.80 ± 1.59 (2-10). Out of 162 patients, 58 (36%) patients had MARS scores ≤ 7 out of 10. The most frequently rated predictor for non-adherence was poor seizure control, which was reported by around 36% of patients. Forgetfulness, dosing frequency, and social stigma were also among the commonest predictors of non-adherence to antiseizure medications that were rated by approximately 27%, 24%, and 22% of the patients, respectively. The impacts of several socio-demographic and clinical factors on adherence were assessed. In the regression analysis, the odds of non-adherence in a patient who experienced adverse effects were twice that of a patient who did not have adverse effects (p = 0.113). Furthermore, females, employers, and patients who had comorbidity, those with focal epilepsy, those on polytherapy of antiseizure medication, and those receiving multiple doses per day, were all more likely (but not significantly, p > 0.05) to be non-adherent compared to their counterparts. Conclusions: The significance of this study is that it reveals that adherence to antiseizure medications is suboptimal in Saudi Arabia. Poor seizure control, forgetfulness, dosing frequency, and social stigma were the primary patient-reported predictors of non-adherence in epilepsy. This emphasizes the importance of routine evaluation of adherence in practice to identify and address what individual patients perceive as a barrier to adherence with antiseizure medications.

Primary treatment gap among adults with epilepsy: A cross-sectional analysis

OBJECTIVE

Despite recommendations to initiate antiseizure medication treatment once the diagnosis of epilepsy is confirmed, a certain proportion of patients with epilepsy who should receive antiseizure medication treatment remain untreated. We aimed to evaluate the rate of and the reasons for the treatment gap in patients with epilepsy who were referred to their first visit in our epilepsy clinic.

METHODS

We retrospectively reviewed the computerized database and the medical records of all the patients with epilepsy who had their first visit in our outpatient epilepsy clinic during a 10-year period (2012-2021).

RESULTS

Forty-nine (6.5%) of 746 patients with epilepsy were not treated with antiseizure medications: 27 (3.6%) were nonadherent to treatment, 12 (1.6%) patients were not definitively diagnosed with epilepsy prior to their first epilepsy clinic visit, and in 10 (1.3%) patients antiseizure medication treatment was not recommended. Untreated patients had shorter epilepsy duration compared to patients treated with antiseizure medications (p = .003). At last follow-up, 77% of the untreated patients at first visit were receiving antiseizure medications compared to 97% of the initially treated group, and fewer were receiving antiseizure medication polytherapy (p = .0001).

SIGNIFICANCE

Although the rate of treatment gap was relatively low, we believe that it should be further reduced. Efforts may focus on addressing individual causes of nonadherence to antiseizure medication treatment and on promoting knowledge of diagnosis and treatment of epilepsy among healthcare professionals.

Nonadherence to antiseizure medications: what have we learned and what can be done next?

INTRODUCTION

Nonadherence to antiseizure medications (ASMs) is associated with increased mortality, morbidity, health care utilization, and costs.

AREAS COVERED

This article reviewed 18 randomized controlled trials published between Jan 2010 and Feb 2024 on Medication Adherence Enhancing Intervention (MAEI) for people with epilepsy. The adequacy of reporting intervention development process was assessed using the GUIDance for the rEporting of intervention Development (GUIDED). The adequacy of the intervention description was assessed using the Template for Intervention Description and Replication (TIDieR) checklist. The interventions were categorized as educational (n = 7), behavioral (n = 5), or mixed (n = 6). The impact of MAEIs on adherence is mixed with majority of studies either reporting no difference between intervention and control groups (n = 6) or improvement in the intervention group (n = 7). The shortcomings in the reporting of MAEIs development, MAEIs description, and MAEIs impact measurement were discussed.

EXPERT OPINION

Future research needs to accomplish the following tasks: 1) develop and test valid epilepsy-specific self-report measures for assessing adherence; 2) optimize intervention design; and 3) increase transparency in reporting all stages of research.

New epilepsy therapies in development

Epilepsy is a common brain disorder, characterized by spontaneous recurrent seizures, with associated neuropsychiatric and cognitive comorbidities and increased mortality. Although people at risk can often be identified, interventions to prevent the development of the disorder are not available. Moreover, in at least 30% of patients, epilepsy cannot be controlled by current antiseizure medications (ASMs). As a result of considerable progress in epilepsy genetics and the development of novel disease models, drug screening technologies and innovative therapeutic modalities over the past 10 years, more than 200 novel epilepsy therapies are currently in the preclinical or clinical pipeline, including many treatments that act by new mechanisms. Assisted by diagnostic and predictive biomarkers, the treatment of epilepsy is undergoing paradigm shifts from symptom-only ASMs to disease prevention, and from broad trial-and-error treatments for seizures in general to mechanism-based treatments for specific epilepsy syndromes. In this Review, we assess recent progress in ASM development and outline future directions for the development of new therapies for the treatment and prevention of epilepsy.

Nonadherence to antiepileptic medication and associated factors among persons with epilepsy in India: A systematic review and meta-analysis

BACKGROUND

Nonadherence to antiepileptic drugs (AEDs) is a prevalent issue in India, contributing to suboptimal seizure control, higher morbidity and mortality, increased hospitalization rates, and a substantial effect on the overall quality of life for individuals with epilepsy.

OBJECTIVES

This study aimed to measure the prevalence of medication adherence among individuals with epilepsy in India and to identify factors associated with nonadherence.

METHODS

Following PRISMA guidelines, we searched PubMed, Scopus, Embase, and Google Scholar for studies on AED adherence in India. Quality assessment employed Newcastle Ottawa Scale adapted for cross-sectional studies. Pooled prevalence was ascertained using a random-effects model in R software (version 4.2.2), with a 95% confidence interval. Heterogeneity was estimated with the I2 statistic, and publication bias was appraised via a funnel plot. Subgroup analyses, based on study region and adherence measurement tool, were done to investigate heterogeneity.

RESULTS

Nine cross-sectional studies with 1772 participants were analyzed. The pooled prevalence of adherence to AEDs in India stood at 49.9% (95% CI: 39.8%-60.1%). Subgroup analyses showed comparable adherence rates in the South (50.9%) and North (46.5%) regions of India. However, adherence rates varied substantially based on the measurement tool: Morisky Medication Adherence Scale-4 (MMAS-4) reported 71.3%, MMAS-8 indicated 45.9%, and Morisky Green Levine (MGL) adherence scale exhibited 42.0%. Factors contributing to non-adherence to antiepileptic therapies involved poor socioeconomic status, lower education levels, polytherapy, drug-related side effects, and substance abuse.

CONCLUSIONS

Almost half of persons with epilepsy in India were non-adherent to their AEDs. This underscores the importance for healthcare professionals to pay greater attention to improving the adherence rate to AEDs within the healthcare service.

Lacosamide extended-release capsules are bioequivalent to lacosamide immediate-release tablets: Pharmacokinetic observations and simulations

OBJECTIVES

Assess the bioequivalence of lacosamide extended-release (XR) capsules and immediate-release (IR) tablets and answer real-world clinical questions regarding the use of lacosamide XR.

METHODS

An open-label, randomized, two-treatment, two-sequence, oral comparative bioavailability study was conducted to assess the bioequivalence of two lacosamide formulations. Participants were randomized 1:1 to receive lacosamide XR capsules (400 mg once-daily) or IR tablets (200 mg twice-daily) in 1 of 2 sequences over 7-day periods. Primary outcome was the area under the lacosamide concentration-time curve over 24 h at steady-state (AUC0-τ,ss). Secondary outcomes were maximum (Cmax,ss) and minimum concentrations at steady-state (Cmin,ss). Bioequivalence was established when 90% confidence intervals (CIs) for geometric least square means ratios (GLSMs) were between 80% and 125%. Adverse events (AEs) and other safety outcomes were also assessed. Pharmacokinetic simulations, including adherent and partially adherent dosing scenarios with XR and IR formulations, modeled the clinical use of lacosamide XR.

RESULTS

Thirty-five healthy adult males were enrolled in the bioequivalence study. After 7 days of study drug, mean AUC0-τ,ss, Cmax,ss, and Cmin,ss values were similar between XR and IR formulations; all 90% CIs for GLSMs were between 80% and 125%. AEs were mild and no serious AEs or other clinically significant safety findings were observed. Pharmacokinetic simulations suggested that partial adherence affected formulations similarly; and the best strategy for switching formulations was to take the morning lacosamide IR dose followed by the evening lacosamide XR dose, as this resulted in the most consistent lacosamide plasma concentrations.

CONCLUSIONS

Once-daily lacosamide XR capsules were bioequivalent to twice-daily lacosamide IR tablets. Pharmacokinetic simulations indicated lacosamide XR and IR formulations were similarly affected by partial adherence, though once-daily dosing with lacosamide XR may offer clinical advantages, and formulations can be easily switched. These results support the use of lacosamide XR capsules as a once-daily alternative to lacosamide IR tablets.

Potential merits and flaws of large language models in epilepsy care: A critical review

The current pace of development and applications of large language models (LLMs) is unprecedented and will impact future medical care significantly. In this critical review, we provide the background to better understand these novel artificial intelligence (AI) models and how LLMs can be of future use in the daily care of people with epilepsy. Considering the importance of clinical history taking in diagnosing and monitoring epilepsy-combined with the established use of electronic health records-a great potential exists to integrate LLMs in epilepsy care. We present the current available LLM studies in epilepsy. Furthermore, we highlight and compare the most commonly used LLMs and elaborate on how these models can be applied in epilepsy. We further discuss important drawbacks and risks of LLMs, and we provide recommendations for overcoming these limitations.

Treatment compliance, treatment patterns, and healthcare utilization in epilepsy patients with first add-on antiepileptic drugs: A nationwide cohort study

Objective

This study aimed to assess the treatment compliance, patterns, healthcare resource utilization (HCRU), and costs of anti-epilepsy drugs (AEDs) as the first add-on therapy in patients with epilepsy.

Methods

We conducted a retrospective population-based cohort study using Korean National Health Insurance claims data from 2016 to 2020. Patients with epilepsy who newly received AED add-on therapy were identified and followed for up to 12 months to evaluate persistence, adherence, treatment patterns, HCRU, and costs.

Results

Among 6,746 patients who initiated AED add-on therapy, 65.5% were persistent on their index AED add-on from the index date until the end of the follow-up period, and the mean persistent time on the index add-on was 307.3 ± 92.3 days. A total of 76.8% patients were adherent, with a medication possession ratio (MPR) ≥80%, and the mean MPR was 88.9 ± 25.4%. Persistence and adherence to the index AED add-on were relatively higher among patients prescribed lamotrigine, levetiracetam, oxcarbazepine, and perampanel than those prescribed carbamazepine, topiramate, or valproate. A total of 41.0% of the patients changed their index AED add-on during the follow-up period. The carbamazepine, topiramate, and valproate groups had higher rates of change than the other AED groups. HCRU and costs tended to be lower in the lamotrigine, levetiracetam, oxcarbazepine, and perampanel groups. Furthermore, perampanel showed the lowest HCRU and costs for all-cause cases as well as the lowest length of stay and outpatient visits for epilepsy-related cases.

Conclusion

In this population-based study, the use of lamotrigine, levetiracetam, oxcarbazepine, or perampanel as the first add-on therapy in patients with epilepsy contributed to better treatment compliance and lower HCRU and costs than that of carbamazepine, topiramate, or valproate.

Adherence and discontinuation of prescription cannabidiol for the management of seizure disorders at an integrated care center

OBJECTIVE

Evaluate adherence, discontinuation rates, and reasons for non-adherence and discontinuation of prescription CBD during the 12-months post-initiation period at an integrated care center.

METHODS

This was a prospective study of patients prescribed CBD by a neurology clinic provider with initial prescription fulfillment through the center's specialty pharmacy from January 2019 through April 2020. Baseline demographics and reasons for non-adherence and/or discontinuation were collected from the electronic health record and pharmacy claims history was used to calculate adherence using proportion of days covered (PDC). Patients were included in the PDC analysis if they had at least 3 fills during the study period. Non-adherence was defined as a PDC < 0.8. Descriptive statistics were used to summarize data with categorical variables represented as frequencies and percentages and continuous variables as medians and interquartile ranges (IQRs).

RESULTS

We included 136 patients with a median age of 14 years (IQR 9 - 21). Most patients were white (n = 115, 85%), with a diagnosis of intractable epilepsy (n = 100, 74%). Among the 128 patients with 3 or more fills, the median PDC was 0.99 (IQR 0.95 - 1.00) with non-adherence seen in 6% (n = 8) of patients. The most common reason for non-adherence was side effects (n = 2, 25%). Prescription CBD was discontinued by 23% (n = 31) of patients with a median time to discontinuation of 117 days (IQR 68 - 216). The most common reason for discontinuation was major side effects (n = 12, 39%). The most common side effects leading to discontinuation were agitation/irritability (n = 4), mood changes (n = 4), aggressive behavior (n = 3), and increased seizure frequency (n = 3).

CONCLUSION

Adherence to prescription CBD at an integrated care center was high with approximately 94% of patients considered adherent. Providers and pharmacists may improve adherence and discontinuation rates by educating patients on the timeline of response, potential side effects, and potential for dose adjustments.

Adherence to anti-seizure medications in the Swedish Prospective Regional Epilepsy Database and Biobank for Individualized Clinical Treatment (PREDICT)

The aim of this study was to describe the extent of, and risk factors for, non-adherence to anti-seizure medications (ASMs) in adult people with epilepsy (PWE) in Sweden. A cross-sectional multi-centre study was performed of PWEs in western Sweden, with data from medical records, and a questionnaire filled in by the participants including self-reports on how often ASM doses had been forgotten during the past year. Participants were categorized into adherent if they forgot at 0-1 occasion, and non-adherent if they forgot at 2-10 or >10 occasions. Demographic and clinical factors were compared by Chi2- or Fisher's test and a logistic regression model was used to find risk factors for non-adherence. In the cohort of 416 PWE aged median 43, IQR 29-62 years, 398 patients were prescribed ASM treatment at inclusion, and 39 % (n = 154) were in the non-adherent group. Significant factors in the multivariable analysis were: younger age, seizure freedom the past year, valproate treatment and experiencing side effects. The rate of self-reported non-adherence was high, illustrating a need for continuous focus on fundamental aspects of epilepsy care. The identified risk factors could enable quality improvement projects and patient education to be directed to those at risk of non-adherence.

Medication self-management in predominantly African American and Caribbean American people with epilepsy: The role of medication beliefs and epilepsy knowledge

INTRODUCTION

Suboptimal medication adherence is common in people with epilepsy (PWE) and disproportionally prevalent among racially/ethnically diverse patients. Understanding reasons and risks of suboptimal adherence is critical to developing interventions that reduce negative health outcomes. This cross-sectional study characterized common barriers to medication self-management, prevalence of negative medication beliefs, and gaps in epilepsy knowledge among predominantly African American and Caribbean American PWE and examined their interrelationships.

MATERIALS AND METHODS

Sixty-three PWE (Age = 42.1 ± 13.2; 60% female; 79% Black; 19% Hispanic/Latino) completed validated self-report questionnaires about medication self-management, medication beliefs, and epilepsy knowledge. Correlations and t-tests examined interrelationships.

RESULTS

Four barriers to medication self-management were common, including not taking antiseizure medications at the same time every day, forgetting doses, not planning refills before running out, and spreading out doses when running low. More than half the sample believed medications were overused by prescribers. Nearly one-third believed medications were harmful, and nearly a quarter believed their antiseizure medications were minimally necessary with almost half reporting elevated concerns about negative consequences of antiseizure medications. Poorer medication self-management was associated with stronger beliefs that medications in general are harmful/overused by prescribers. Individuals who were "accepting" of their antiseizure medications (i.e., high perceived necessity, low concerns) were less likely to spread out time between doses when running low compared to non-accepting counterparts. Knowledge gaps related to the cause of seizures/epilepsy, chronicity of epilepsy treatment, and seizure semiology/diagnosis were common. Nevertheless, epilepsy knowledge was unrelated to medication self-management and medication beliefs.

CONCLUSIONS

In these PWE, the most prevalent reasons for suboptimal medication self-management were behaviorally mediated and potentially modifiable. Negative medication beliefs and misconceptions about epilepsy and its treatment were common. Results further suggest that interventions addressing negative medication beliefs will be more effective than knowledge-based psychoeducation alone to improve medication self-management in this patient population.

Validation of an Italian Questionnaire of Adherence to the Ketogenic Dietary Therapies: iKetoCheck

Ketogenic dietary therapies (KDTs) are an effective and safe non-pharmacological treatment for drug-resistant epilepsy, but adherence can be challenging for both patients and caregivers. In Europe, there are no adequate tools to measure it other than monitoring ketosis. This study aimed to adapt and validate the Brazilian adherence questionnaire, Keto-check, into the Italian version: iKetoCheck. Using the Delphi technique, 12 judges validated the contents through agreement rates and the Content Validity Index (CVI). The iKetocheck was self-completed electronically by 61 drug-resistant epilepsy or GLUT1 deficiency patients within an interval of 15 days to measure its reproducibility. The test-retest reliability was evaluated using Pearson's correlation and relative significance test. Exploratory and confirmatory factorial analyses were made using Factor software version 12.03.02. The final tool, iKetoCheck, consists of 10 questions with 5-point Likert scale answers. It evaluates various aspects such as informing caregivers about the diet, organization of meals, measurement of ketosis, weighing food consumed, diet negligence, use of carbohydrate-free medications, attending follow-up visits, reading food labels, consulting an expert for dietary concerns, and cooking at home. The factorial analysis resulted in three factors: "attention," "organization," and "precision," with satisfactory results for indices in exploratory and confirmatory analyses. Although higher mean values of ketonemia measurement were observed in patients with a higher adherence score, these values were not statistically significant (p = 0.284). In conclusion, despite the small sample size, iKetoCheck is a valid tool for evaluating KDTs' adherence in Italian drug-resistant epilepsy or GLUT1 deficiency patients. It can provide valuable information to improve patient management and optimize the effectiveness of KDTs.

Association of antiseizure medication adherence with illness perceptions in adults with epilepsy

OBJECTIVE

We assessed the relationship of epilepsy illness perceptions to antiseizure medication (ASM) adherence.

METHODS

Surveys were completed by 644 adult patients with epilepsy of unknown cause. We used the Morisky Medication Adherence Scale-8 (MMAS-8) to define "high" adherence (score = 8) and "low-medium" adherence (score < 8). We evaluated epilepsy illness perceptions using seven items from the Brief Illness Perception Questionnaire (BIPQ), each scored from 0-10, measuring participants' views of the overall effect of epilepsy on their lives, how long it would last, how much control they had over their epilepsy, the effectiveness of their treatment, level of concern about epilepsy, level of understanding of epilepsy, and emotional impact of epilepsy. We investigated the association of each BIPQ item with medication adherence using logistic regression models that controlled for potential confounders (age, race/ethnicity, income, and time since the last seizure).

RESULTS

One hundred forty-nine patients (23%) gave responses indicating high adherence. In the adjusted models, for each 1-unit increase in participants' BIPQ item scores, the odds of high adherence increased by 17% for understanding of their epilepsy (OR = 1.17, 95% CI 1.07-1.27, p < 0.001), decreased by 11% for overall life impact of epilepsy (OR = 0.89, 95% CI 0.82-0.97, p = 0.01) and decreased by 6% for emotional impact of epilepsy (OR = 0.94, 95% CI 0.86-0.99, p = 0.03). No other illness perception was associated with high adherence. Depression, anxiety, and stigma mediated the inverse relationships of high adherence to the overall life impact of epilepsy and the emotional impact of epilepsy. These measures did not mediate the relationship of high adherence to the perceived understanding of epilepsy.

CONCLUSION

These results indicate that a greater perceived understanding of epilepsy is independently associated with high ASM adherence. Programs aimed at improving patients' understanding of their epilepsy may help improve medication adherence.

Supply problems of antiseizure medication are common among epilepsy patients in Germany

OBJECTIVE

To evaluate the frequency of reported antiseizure medication (ASM) supply problems among patients with epilepsy (PWE) in Germany.

METHODS

The Epi2020 study was a multicenter study focusing on different healthcare aspects of adult PWE in Germany. In addition to basic clinical and demographic characteristics, PWE were asked to answer a questionnaire regarding supply difficulties regarding their ASM, and if they had to discontinue ASM treatment due to supply problems. Generic switch of medication was recorded, and adverse effects were measured using the Liverpool Adverse Events Profile (LAEP) scale. Data were analyzed to detect predictors of supply problems.

RESULTS

In total, 434 PWE with a mean age of 40 years (median 37 years, SD = 15.5, range: 18-83 years, 254 female) participated in this study. 53.7% of PWE (n = 233) reported that at least once in the past 12 months their ASM was not available at the pharmacy, and 24.9% (n = 108) reported having experienced ASM supply problems three times or more during the past 12 months. Patients with epilepsy treated with carbamazepine and zonisamide reported frequent problems with availability in 45.8% and 44.8% respectively, whereas those treated with lacosamide and valproate reported supply problems less frequently (17.0% and 16.4%, respectively). Nine patients (2.1%) were unable to take their ASM as prescribed at least once in the past 12 months due to supply problems. Forty-nine patients (11.3%) reported having to switch ASM due to supply difficulties with generic replacement occurring in 39.4% (n = 171) of patients. Those with supply problems were more likely to be treated with more ASMs and scored higher on the LAEP.

CONCLUSION

Supply problems with ASM are frequent among PWE in Germany and are reported for older and newer ASMs. Supply problems contribute to ASM nonadherence and are positively correlated with the number of ASM taken and adverse events.

Optimization of Therapy in Patients with Epilepsy and Psychiatric Comorbidities: Key Points

Psychiatric disorder comorbidity in patients with epilepsy (PWE) is very frequent with a mean percentage prevalence of up to 50% and even higher. Such a high frequency suggests that epilepsy and psychiatric disorders might share common pathological pathways. Various aspects contribute in making the matter very complex from a therapeutic point of view. Some antiseizure medications (ASMs), namely valproic acid, carbamazepine, and lamotrigine, have mood-stabilising effects and are routinely used for the treatment of bipolar disorder in patients who do not have epilepsy. Pregabalin and, to a lesser extent, gabapentin, exerts anxiolytic effects. However, several ASMs, in particular levetiracetam, topiramate, and perampanel, may contribute to psychiatric disorders, including depression, aggressive behaviour, and even psychosis. If these ASMs are prescribed, the patient should be monitored closely. A careful selection should be made also with psychotropic drugs. Although most of these can be safely used at therapeutic doses, bupropion, some tricyclic antidepressants, maprotiline, and clozapine may alter seizure threshold and facilitate epileptic seizures. Interactions between ASMs and psychotropic medication may make it difficult to predict individual response. Pharmacokinetic interactions can be assessed with drug monitoring and are consequently much better documented than pharmacodynamic interactions. Another aspect that needs a careful evaluation is patient adherence to treatment. Prevalence of non-adherence in PWE and psychiatric comorbidities is reported to reach values even higher than 70%. A careful evaluation of all these aspects contributes in optimizing therapy with a positive impact on seizure control, psychiatric wellbeing, and quality of life.

The effect of nonadherence on phenobarbital concentrations and recommendations on the replacement dose using Monte Carlo simulation

OBJECTIVES

To determine the impacts of missed phenobarbital (PB) doses on its pharmacokinetics and to investigate the appropriate replacement dosing scheme for various PB missed dose scenarios.

METHODS

Monte Carlo simulations were performed using parameters from the selected population pharmacokinetic study. The impacts of missed PB dose and the proper replacement dosing scheme were assessed based on the percent deviation of simulated concentrations outside the reference range from the full adherence scenario.

RESULTS

The impact of missed PB dose on its concentrations depended on the daily dose. The replacement with a respective regular dose and one and a half regular dose was appropriate for the one and two missed doses scenarios for patients receiving PB monotherapy. For patients receiving PB with valproic acid or phenytoin, the same replacement scheme was still appropriate. The results also indicated that weight did not influence the proper replacement dosing scheme.

CONCLUSIONS

The impacts of missed PB doses on its pharmacokinetics were identified and the proper replacement dosing schemes for different missed dose scenarios were proposed. These schemes should be implemented based on the clinician's justification of the patient's seizure control.

Clinical Application of Pharmacokinetics to Appraise Adherence to Levetiracetam in Portuguese Epileptic Patients

Adherence to antiseizure drug treatment determines its effectiveness and safety, and consequently affects patients’ quality of life. Herein, we assessed adherence to levetiracetam in Portuguese patients with refractory epilepsy (n = 115), with resort to a pharmacokinetic drug monitoring approach. The pharmacokinetic parameters of levetiracetam in each patient were determined in steady-state while admitted to the hospital. Then, adherence was assessed by comparing the plasma concentration of the drug observed on the first day of hospitalization with the predicted plasma concentration, considering previously determined pharmacokinetic parameters. The rate of adherence was assessed according to gender, age, diagnosis, and antiseizure drug regimen. Among 115 enrolled patients, 49 (42.6%) were identified as non-adherent, 30 (26.1%) classified as under-consumers, and 19 (16.5%) as over-consumers. A relationship between adherence, daily dose and plasma concentrations was herein reported for the first time. Adherent patients received higher daily doses of levetiracetam [2500 (2000–3000) mg] than non-adherent over-consumers [1500 (1000–2000) mg] and non-adherent under-consumers [2000 (1500–3000) mg]. Higher average steady-state plasma concentrations of levetiracetam were found in non-adherent under-consumers [27.28 (15.33–36.36) mg/L], followed by adherent patients [22.05 (16.62–29.81) mg/L] and non-adherent over-consumers [17.50 (10.69–24.37) mg/L]. This study demonstrates that adherence (or lack thereof) influences the plasma concentrations of levetiracetam in steady-state and its pharmacological effects. Moreover, it emphasizes the importance of educating patients to encourage adherence to therapy. Otherwise, the risk of developing toxic and subtherapeutic concentrations is undeniable, compromising the therapeutic effect and safety of treatment.

Detecting Reasons for Nonadherence to Medication in Adults with Epilepsy: A Review of Self-Report Measures and Key Predictors

This review presents individual reasons for self-reported nonadherence in people with epilepsy (PWE). A literature search was performed on the PubMed/Medline and Scopus databases for studies published up to March 2022. Thirty-six studies were included using the following inclusion criteria: original studies on adults with epilepsy, use of subjective self-report adherence measurement methods, and publication in English. Data were extracted using a standardized data extraction table, including the year of publication, authors, cohort size, study design, adherence measurement method, and self-reported reasons for nonadherence. Self-reported reasons for nonadherence were grouped following the WHO model with the five dimensions of nonadherence. In addition, study characteristics and sociodemographic information are reported. Of the 36 included studies, 81% were observational. The average nonadherence rate was nearly 50%. Across all studies, patient-associated, therapy-associated, and circumstance-related factors were the most frequently reported dimensions of nonadherence. These factors include forgetfulness, presence of side-effects, and history of seizures. Regarding healthcare system factors, financial problems were the most reported reason for nonadherence. Stigmatization and quality of life were the most frequently cited factors influencing nonadherence in the disease- and circumstance-related dimensions. The results suggest that interventions for improving adherence should incorporate all dimensions of nonadherence.

Effect of Nonadherence on Levetiracetam Pharmacokinetics and Remedial Dose Recommendations Using Monte Carlo Simulations

BACKGROUND AND OBJECTIVE

Nonadherence to levetiracetam (LEV) use can result in subtherapeutic concentrations and increase the risk of the occurrence of seizures. The impact of missing LEV doses on its pharmacokinetics and evidence of the appropriate remedial dose is lacking. This study has determined the influence of missed LEV doses on its pharmacokinetics and has explored the appropriate remedial dosage regimens.

METHODS

Monte Carlo simulation was used to assess the impacts of different remedial dosage regimens on LEV concentrations. Simulated LEV concentrations outside the individual therapeutic range were calculated for the compliance scenario and for each of the remedial dosage regimens. The percentage of deviation from the full compliance scenario was also calculated. The regimen with the lowest percentage of deviation was considered the most appropriate.

RESULTS

The suitable LEV remedial dose varied across the delay times. For one missed dose, a remedial regimen with a regular dose followed by the usual dose was suitable for a delay time of less than 6 h, while a replacement with a regular dose followed by a partial dose appeared to be appropriate for a delay time of 6 h and longer. This was justified based on the concerns of LEV toxicity when the remedial dose is close to the next scheduled dose. For two consecutive missed doses, a remedial dose with one and a half of the regular dose was suitable if the gap between that and the next dose was greater than 6 h.

CONCLUSIONS

The appropriate remedial dosage regimen for one and two consecutive missed doses of LEV have been proposed. These remedial regimens, however, should be applied with clinicians' judgment based on the clinical status of the patients.

The effect of nonadherence on phenobarbital concentrations and recommendations on the replacement dose using Monte Carlo simulation

OBJECTIVES

To determine the impacts of missed phenobarbital (PB) doses on its pharmacokinetics and to investigate the appropriate replacement dosing scheme for various PB missed dose scenarios.

METHODS

Monte Carlo simulations were performed using parameters from the selected population pharmacokinetic study. The impacts of missed PB dose and the proper replacement dosing scheme were assessed based on the percent deviation of simulated concentrations outside the reference range from the full adherence scenario.

RESULTS

The impact of missed PB dose on its concentrations depended on the daily dose. The replacement with a respective regular dose and one and a half regular dose was appropriate for the one and two missed doses scenarios for patients receiving PB monotherapy. For patients receiving PB with valproic acid or phenytoin, the same replacement scheme was still appropriate. The results also indicated that weight did not influence the proper replacement dosing scheme.

CONCLUSIONS

The impacts of missed PB doses on its pharmacokinetics were identified and the proper replacement dosing schemes for different missed dose scenarios were proposed. These schemes should be implemented based on the clinician's justification of the patient's seizure control.

Key Predictors of the Need for a Family-Focused Pediatric Epilepsy Adherence Intervention

OBJECTIVE

Nonadherence to anti-seizure drugs (ASMs) is a significant problem in pediatric epilepsy and is linked to increased morbidity, mortality, clinically unnecessary medication changes, and increased healthcare costs. Family interventions can improve adherence. However, it is challenging to know which families will struggle with nonadherence and require intervention. This study aims to identify specific parent, family, child, and medical factors that predict which families most need family-based adherence interventions.

METHODS

Families enrolled in a randomized clinical trial of a family-based adherence intervention completed measures assessing parent, family, child, and medical factors. Families also used an electronic adherence monitor. Adherence >95% was considered high adherence (not requiring intervention) and <95% was considered suboptimal adherence (requiring intervention). We conducted a stepwise logistic regression to assess demographic, medical, child, family, and parent predictors of membership to the suboptimal adherence group.

RESULTS

Of the 200 families of children with new-onset epilepsy who enrolled, 177 families completed the study. Of these families, 121 (68%) were in the high adherence group and 56 (32%) were in the suboptimal adherence group. Families with lower SES, children of color, lower general family functioning, and more parent distress were more likely to be in the suboptimal adherence group.

SIGNIFICANCE

We identified that parent and family factors, as well as sociodemographic characteristics predicted membership in the suboptimal adherence group. It is critical to find creative and practical solutions to assessing and intervening upon key adherence predictors. These may include streamlined screening for parental distress and family functioning, as well as recognition that families of lower SES and communities of color may be at heightened risk for suboptimal adherence.

Adherence to Antiseizure vs Other Medications Among US Medicare Beneficiaries With and Without Epilepsy

BACKGROUND AND OBJECTIVE

The objectives of this study were to compare adherence to antiseizure medications (ASMs) vs non-ASMs among individuals with epilepsy, to assess the degree to which variation in adherence is due to differences between individuals vs between medication classes among individuals with epilepsy, and to compare adherence in individuals with vs without epilepsy.

METHODS

This was a retrospective cohort study using Medicare. We included beneficiaries with epilepsy (≥1 ASM, plus ICD-9-CM diagnostic codes) and a 20% random sample without epilepsy. Adherence for each medication class was measured by the proportion of days covered (PDC) in 2013 to 2015. We used Spearman correlation coefficients, Cohen κ statistics, and multilevel logistic regressions.

RESULTS

There were 83,819 beneficiaries with epilepsy. Spearman correlation coefficients between ASM PDCs and each of the 5 non-ASM PDCs ranged from 0.44 to 0.50; Cohen κ ranged from 0.33 to 0.38; and within-person differences between the PDC of each ASM minus the PDC of each non-ASM were all statistically significant (p < 0.01), although median differences were all very close to 0. Fifty-four percent of variation in adherence across medications was due to differences between individuals. Adjusted predicted probabilities of adherence were as follows: ASMs 74% (95% confidence interval [CI] 73%-74%), proton pump inhibitors 74% (95% CI 74%-74%), antihypertensives 77% (95% CI 77%-78%), selective serotonin reuptake inhibitors 77% (95% CI 77%-78%), statins 78% (95% CI 78%-79%), and levothyroxine 82% (95% CI 81%-82%). Adjusted predicted probabilities of adherence to non-ASMs were 80% (95% CI 80%-81%) for beneficiaries with epilepsy vs 77% (95% CI 77%-77%) for beneficiaries without epilepsy.

DISCUSSION

Among individuals with epilepsy, ASM adherence and non-ASM adherence were moderately correlated, half of the variation in adherence was due to between-person rather than between-medication differences, adjusted adherence was slightly lower for ASMs than several non-ASMs, and epilepsy was associated with a quite small increase in adherence to non-ASMs. Nonadherence to ASMs may provide an important cue to the clinician to inquire about adherence to other potentially life-prolonging medications as well. Although efforts should focus on improving ASM adherence, patient-level rather than purely medication-specific behaviors are also critical to consider when developing interventions to optimize adherence.

Evaluation of persistence and healthcare utilization in patients treated with anti-seizure medications as add-on therapy: A nationwide cohort study in South Korea

OBJECTIVE

To compare medication adherence and healthcare utilization among patients who were treated with anti-seizure medications (ASMs) as first add-on to monotherapy for epilepsy using the national health insurance claims data.

METHODS

A retrospective observational cohort study was conducted using the Korean National Health Insurance claims data. Patients who received ASM as first add-on to monotherapy during January 2017 to February 2018 were included. The selected patients were followed up for 12 months to evaluate persistence, adherence, and healthcare resource utilization.

RESULTS

In total, 4277 patients who received ASM as first add-on to monotherapy for epilepsy were enrolled. The mean treatment duration of add-on ASM was 296.6 ± 108.6 days during the 1-year follow-up period and 64.3% of the total population were persistent on the add-on ASM at 365 days from the index date. The mean medication possession ratio (MPR) was 90.3 ± 23.7 and the proportion of adherent patients with ≥80% MPR was 79.3%. Lamotrigine (LTG), levetiracetam (LEV), oxcarbazepine (OXC), and perampanel (PER) groups showed significantly higher persistence and adherence than carbamazepine (CBZ), topiramate (TPM), and valproate (VAL) groups during the 1-year follow-up period. Significant differences in length of stays, total hospitalization cost, outpatient visit cost, and emergency cost were shown between ASM groups and LTG, LEV, OXC, and PER showed relatively low utilization and cost.

CONCLUSIONS

Better adherence was observed in LTG, LEV, OXC, and PER groups than in CBZ, TPM, and VAL groups. Healthcare utilization and related costs showed significant difference between ASM groups.

Medication Adherence in Indian Epilepsy Patients

Purpose:

While two-thirds of epilepsy patients can become seizure free on medical treatment, poor adherence to medication is a major problem to sustained remission and functional restoration. The aim of this study was to assess the prevalence and associated factors of antiepileptic drug (AED) non-adherence.

Methods:

We conducted a subgroup analysis based on results that emerged from a single center, cross-sectional study. Patients who were 18 years or older were included. The 4-item Morisky Medication Adherence Scale was used to measure adherence to AED (s). Multivariable logistic regression analysis was used to predict factors associated with AED non-adherence.

Results:

A total of 268 patients fulfilled inclusion criteria and were included in this subgroup analysis. Among the participants, 81 (30%) were non-adherent to medication. Three factors associated with non-adherence were AED polytherapy [OR: 4.5 (2.1-9.5) P = 0.001], drug related adverse events [OR: 3.9 (2.1-7.3) P = 0.001], and treatment duration exceeding 3 years [OR: 2.6 (1.3-5.0) P = 0.003].

Conclusion:

About one-third patients were not compliant with their medication. If the treatment of patients is restricted to monotherapy as far as possible and patients are educated about duration of treatment and possible adverse effects of AEDs, non-adherence may be reduced.

Antiseizure medication adherence trajectories in Medicare beneficiaries with newly treated epilepsy

OBJECTIVE

This study was undertaken to characterize trajectories of antiseizure medication (ASM) adherence in adults with newly treated epilepsy and to determine predictors of trajectories.

METHODS

This was a retrospective cohort study using Medicare. We included beneficiaries with newly treated epilepsy (one or more ASM and none in the preceding 2 years, plus International Classification of Diseases codes) in 2010-2013. We calculated the proportion of days covered (proportion of total days with any ASM pill supply) for 8 quarters or until death. Group-based trajectory models characterized and determined predictors of trajectories.

RESULTS

We included 24 923 beneficiaries. Models identified four groups: early adherent (60%), early nonadherent (18%), late adherent (11%), and late nonadherent (11%). Numerous predictors were associated with being in the early nonadherent versus early adherent group: non-White race (e.g., Black, odds ratio [OR] = 1.7, 95% confidence interval [CI] = 1.5-1.8), region (e.g., South vs. Northeast: OR = 1.2, 95% CI = 1.1-1.4), and once daily initial medication (OR = 1.1, 95% CI = 1.0-1.3). Predictors associated with decreased odds of being in the early nonadherent group included older age (OR = .9 per decade, 95% CI = .9-.9), female sex (OR = .9, 95% CI = .8-1.0), full Medicaid eligibility (OR = .6, 95% CI = .4-.8), neurologist visit (OR = .6, 95% CI = .6-.7), and initial older generation ASM (OR = .6, 95% CI = .6-.7).

SIGNIFICANCE

We identified four ASM adherence trajectories in individuals with newly treated epilepsy. Whereas risk factors for early nonadherence such as race or geographic region are nonmodifiable, our work highlighted a modifiable risk factor for early nonadherence: lacking a neurologist. These data may guide future interventions aimed at improving ASM adherence, in terms of both timing and target populations.

Social determinants of health associated with epilepsy treatment adherence in the United States: A scoping review

PURPOSE

The aim of this paper is to share the results of a scoping review in which we examined the social determinants of health (SDoH) that are associated with anti-seizure medication (ASM) treatment adherence among people living with epilepsy in the United States.

METHODS

Our review was informed by the methods of Arksey and O'Malley for a scoping review. A total of 3,826 articles were identified for reference through a literature search, of which 17 publications were deemed relevant to our scoping review. The final articles were mapped using the Epilepsy SDoH Conceptual Framework to identify gaps.

FINDINGS

Our review suggests that there are multidimensional associations of SDoH in ASM adherence. The SDoH were interrelated. Race/ethnicity and socioeconomic status appeared to have major associations with ASM adherence. Several gaps in the literature were identified, including inadequately exploring the effect that each SDoH has on treatment adherence, and the methods used for assessment.

CONCLUSIONS

Future longitudinal research to address the identified gaps would foster interventions that promote ASM adherence among vulnerable populations living with epilepsy.

Definite SUDEP population in Bexar County, Texas: A 36-year data registry

OBJECTIVE

Sudden unexplained death in epilepsy (SUDEP) is one of the leading causes of mortality in epilepsy. In this study, cases of definite SUDEP are reported for Bexar County from a 36-year period.

METHODS

Death reports by Bexar County Medical Examiner (BCME) from 1983 to 2018 were reviewed to identify cases with definite SUDEP. The findings were based upon investigators' reports, which included medical history, medication list, sleep position, time of death, and pathology reports. In addition to these potential risk factors, body mass indices (BMI), as well as heart, lung, and brain weights were compared between SUDEP victims with therapeutic vs subtherapeutic anti-seizure medication (ASM) levels.

RESULTS

Definite SUDEP was identified in 286 cases. The incidence of definite SUDEP was 0.51 ± 0.26/1000 person-years among PWE and 0.56 ± 0.29 per 100,000 person-years among the general population in Bexar County. The median age was 37 years old (interquartile range 27-48), and the majority were male (65%). While 171 (60%) people were prescribed at least one ASM, ASM levels were subtherapeutic in 239 cases (83.6%). Risk factors for SUDEP did not differ between SUDEP victims with therapeutic vs subtherapeutic ASM levels. While BMIs were only slightly increased in adherent vs nonadherent SUDEP victims, they were significantly associated with subtherapeutic ASM levels. Abnormal lung, heart, and brain weights were reported in 48 (16.8%), 67 (23.4%), and 43 (15.0%) SUDEP cases, respectively.

SIGNIFICANCE

This study is one of the largest autopsy-based registries of definite SUDEP. Subtherapeutic ASM levels measured in post-mortem blood samples suggest that nonadherence to ASM therapy was a leading risk factor for SUDEP. As BMI was elevated in this cohort, and obesity was significantly associated with subtherapeutic ASM levels, it may also be a risk factor for SUDEP. Case-controlled studies are needed to validate the specific role of obesity and related comorbidities in this population.

Implementation of an older adult epilepsy clinic utilizing pharmacist services

BACKGROUND

Antiseizure medications are commonly associated with adverse effects including behavioral and cognitive issues, drug interactions, idiosyncratic reactions, and long-term complications, which can lead to non-adherence. At the same time, there are limited reports describing multidisciplinary models of epilepsy care that include pharmacists.

OBJECTIVE

To describe the pharmacist services in an epilepsy clinic for older adults and document the patient care delivered using this design.

PRACTICE DESCRIPTION

A subspecialty older adult epilepsy clinic, embedded within a neurology clinic, in an urban academic medical center.

PRACTICE INNOVATION

Integration of pharmacy services to document medication history, provide medication reconciliation, identify medication-related problems, and make interventions.

EVALUATION METHODS

Data were retrospectively evaluated for the patients seen by the pharmacist and epilepsy team between July 2019 and January 2021. Data were summarized with descriptive statistics.

RESULTS

Fifty-eight patients with a total of 94 encounters (70.7% of all specialty clinic visits) were seen collaboratively by the physician and the pharmacist. The majority of patients were African American (87.9%), aged 63.7 ± 8.2 years, and more frequently male (58.6%), and a high proportion had some baseline memory loss or diagnosis of dementia (53.4%). Medication reconciliation occurred in 94 (100%) encounters. More than half the encounters required reconciliation to the existing medication list by adding medication (55.3 % of encounters) or deleting mediations (53.2% of encounters). Presence of adverse effects was the most common medication-related problem identified (23.4%). Resolutions to the medication-related problems were also reported.

CONCLUSION

The population of older adults with epilepsy is expected to increase in prevalence. Pharmacists are able to impact medication-related problems in a vulnerable, high-risk patient population. The multidisciplinary model we describe here can be used as a template to provide care in ambulatory care practices involving other neurology specialties with a high proportion of older adult patients.

Antiseizure medication nonadherence and its associated factors among Epileptic patients in Ethiopia, a systematic review and meta-analysis

BACKGROUND

The majority of patients with epilepsy in resource-poor countries never receive proper treatment, and those who are started on anti-seizure medications quickly discontinue them. Medication noncompliance is extremely common, with estimates ranging from 26 to 79 percent. Non-adherence to antiseizure medications is associated with poor seizure control, increased morbidity, increased hospitalization time, poor quality of life, increased health care costs, and increased mortality in adults.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2009 guideline was used for this systematic review and meta-analysis. The databases Pub Med, Cochrane Library, Scopus Online, and Google Scholar were all searched. STATA™ version 11 software was used for the meta-analysis. The I² test and Egger's tests were used to assess heterogeneity and publication bias. The random-effects method was used to estimate the pooled adherence level with a 95 percent confidence interval.

RESULTS

This meta-analysis included twelve Ethiopian studies involving a total of 3416 epileptic patients. The national pooled prevalence of antiseizure medication non-adherence was 41.96%. Patients who paid for their medications, took them for more than a year, had co-morbidity, and felt stigmatized were more likely to be non-adherent than their counterparts.

CONCLUSION

According to this systematic review and meta-analysis, more than two out of every five epileptic patients did not take their antiseizure medications as prescribed. Clinicians must educate epileptic patients about the importance of medication adherence.

SYSTEMATIC REVIEW REGISTRATION

The review has been registered on an International Prospective Register of Systematic Review with registration number CRD42019142905.

Use of extended-release and immediate-release anti-seizure medications with a long half-life to improve adherence in epilepsy: A guide for clinicians

Poor adherence to anti-seizure medications (ASMs) is associated with breakthrough seizures and potentially increased toxicity in patients with epilepsy. Extended-release (ER) drugs and immediate-release (IR) drugs with a long half-life (t_1/2) that permit once-daily dosing (such as, perampanel, zonisamide, lamotrigine [IR, ER] and topiramate [ER]) have a number of advantages over short t_1/2 ASMs that require multiple daily dosing. These advantages include simplification of dosing regimens, reduction in pill burden, and a decrease in the peak-to-trough fluctuations in serum drug concentration that may be associated with a decreased risk of adverse effects and seizures. Such properties have wider implications in improving patient adherence to treatment. This article is intended as a practical guide for clinicians that provides an overview of the features of ER ASMs and long t_1/2 IR ASMs that are advantageous in the context of patient adherence and pharmacokinetic "forgiveness" (after missing a dose). In addition, we note that efforts to improve adherence should not depend solely on drug dosing regimens and drug pharmacokinetics, but should be part of a wider strategy that includes therapeutic drug monitoring, improved healthcare provider-patient dialogue, patient education, and the use of "reminder" technology.

Antiepileptogenesis and disease modification: Progress, challenges, and the path forward-Report of the Preclinical Working Group of the 2018 NINDS-sponsored antiepileptogenesis and disease modification workshop

Epilepsy is one of the most common chronic brain diseases and is often associated with cognitive, behavioral, or other medical conditions. The need for therapies that would prevent, ameliorate, or cure epilepsy and the attendant comorbidities is a priority for both epilepsy research and public health. In 2018, the National Institute of Neurological Disease and Stroke (NINDS) convened a workshop titled "Accelerating the Development of Therapies for Antiepileptogenesis and Disease Modification" that brought together preclinical and clinical investigators and industry and regulatory bodies' representatives to discuss and propose a roadmap to accelerate the development of antiepileptogenic (AEG) and disease-modifying (DM) new therapies. This report provides a summary of the discussions and proposals of the Preclinical Science working group. Highlights of the progress of collaborative preclinical research projects on AEG/DM of ongoing research initiatives aiming to improve infrastructure and translation to clinical trials are presented. Opportunities and challenges of preclinical epilepsy research, vis-à-vis clinical research, were extensively discussed, as they pertain to modeling of specific epilepsy types across etiologies and ages, the utilization of preclinical models in AG/DM studies, and the strategies and study designs, as well as on matters pertaining to transparency, data sharing, and reporting research findings. A set of suggestions on research initiatives, infrastructure, workshops, advocacy, and opportunities for expanding the borders of epilepsy research were discussed and proposed as useful initiatives that could help create a roadmap to accelerate and optimize preclinical translational AEG/DM epilepsy research.

The impact of the coronavirus disease (COVID-19) pandemic on outpatient epilepsy care: An analysis of physician practices in Germany

OBJECTIVE

To gain insight into epilepsy care during coronavirus disease (COVID-19) pandemic, we analyzed prescription data of a large cohort of persons with epilepsy (PWE) during lockdown in Germany.

METHODS

Information was obtained from the Disease Analyzer database, which collects anonymous demographic and medical data from practice computer systems of general practitioners (GP) and neurologists (NL) throughout Germany. We retrospectively compared prescription data for anti-seizure medication (ASM) and physicians' notes of "known" and "new" PWE from January 2020 until May 2020 with the corresponding months in the three preceding years 2017-2019. Adherence was estimated by calculating the proportion of patients with follow-up prescriptions within 90 days after initial prescriptions in January or February. We additionally analyzed hospital referrals of PWE. The significance level was set to 0.01 to adjust for multiple comparisons.

RESULTS

A total of 52,844 PWE were included. Anti-seizure medication prescriptions for known PWE increased in March 2020 (GP + 36%, NL + 29%; P < 0.01). By contrast, a decrease in prescriptions to known and new PWE was observed in April and significantly in May 2020 ranging from -16% to -29% (P < 0.01). The proportion of PWE receiving follow-up prescriptions was slightly higher in 2020 (73.5%) than in 2017-2019 (70.7%, P = 0.001). General practitioners and NL referred fewer PWE to hospitals in March 2020 (GP: -30%, P < 0.01; NL: -12%), April 2020 (GP: -29%, P < 0.01; NL: -37%), and May 2020 (GP: -24%, P < 0.01; NL: -16%).

CONCLUSION

Adherence of known PWE to ASM treatment appeared to remain stable during lockdown in Germany. However, this study revealed findings which point to reduced care for newly diagnosed PWE as well as fewer hospital admissions. These elements may warrant consideration during future lockdown situations.

Validation of the Swedish version of the Beliefs about Medicines Questionnaire, based on people with epilepsy

TITLE

Validation of the Swedish version of the Beliefs about Medicines Questionnaire, based on people with epilepsy.

PURPOSE

The aims of the study were to explore the latent structure of the Swedish Beliefs about Medicines Questionnaire (BMQ), to investigate its reliability and to identify the extent to which individual factors among people with epilepsy (PWE), as well as their general beliefs about medication, predict their beliefs about their specific anti-seizure drugs (ASDs).

METHODS

One-hundred and fifty six included study participants diagnosed with epilepsy and with a well-established neurological follow-up completed an array of rating scales. Included were the Swedish BMQ, which captures beliefs about medicines, scales for symptoms of anxiety and depression and sense of self-efficacy, as well as a general questionnaire regarding their social situation in general. Statistical analysis included Principal Component Analyses (PCA) and hierarchical multiple regression analysis.

RESULTS

The PCA revealed a two-factor structure for each of the BMQ-subscales with acceptable (BMQ-G) to high (BMQ-S) internal consistency. The only individual factor that predicted variance in beliefs about medication was patient gender, where levels of both anxiety and depression were elevated in women.

CONCLUSION

The Swedish BMQ exhibits psychometric features indicating its reliable use in adult PWE. Our results suggest that the BMQ provides information about the patients' view of their medication regardless of their general mood and that women hold stronger beliefs of concern beyond influence from their levels of depression and anxiety.

Analysis of treatment adherence and cost among patients with epilepsy: a four-year retrospective cohort study in Pakistan

BACKGROUND

The adherence pattern of antiepileptic drugs (AEDs) among patients with epilepsy is relatively lower in the United States and different European countries. However, adherence and cost analysis of AEDs in Asian countries have not been thoroughly studied. Therefore, the present study aimed to analyze the cost and adherence of AEDs and its associated factors in patients followed in Pakistan.

METHODS

Data from prescriptions collected from patients with epilepsy who have visited the Outpatient Department (OPD) of different tertiary care hospitals at the cosmopolitan city of Karachi, Pakistan from December 2015 to November 2019. The mean follow-up period for each participant was about 22 months. Pairwise comparisons from Cox regression/hazard ratios were used to assess the predictors of adherence. Direct costs of AEDs were calculated and presented as the annual cost of drugs.

RESULTS

A total of 11,490 patients were included in this study, 51.2 % were male and 48.8 % were female with a mean age of 45.2 ± 15.8 y. Levetiracetam was found as the most prescribing AED in all study participants (32.9 %). Of them, 49.1 % of patients continued their initial recommended treatment. However, 31.3 % of patients have discontinued the therapy, while, 19.6 % were switched to other AED. Adherence with initial treatment was more profound in male (57.4 %) patients, compared to female with a mean age of 44.2 years. Lamotrigine users (60.6 %) showed a higher tendency to retain on initially prescribed drugs. The total cost of epilepsy treatment in the entire study cohort was 153280.5 PKR ($941.9). By applying the Cox regression analysis, it can be observed that the patients with increasing age (OR, 2.04), migraine (OR, 2.21), psychiatric disorders (OR, 4.28), other comorbidities (OR, 1.52) and users of other than top five prescribing AEDs (2.35) were at higher risk of treatment discontinuation. However, levetiracetam (OR, 0.69), valproic acid (OR, 0.52), carbamazepine (OR, 0.81), lamotrigine (OR, 0.80) or lacosamide (OR, 0.65) users have more chances to continue their initial therapy.

CONCLUSIONS

Similar to western countries, the majority of patients with epilepsy exhibited low adherence with AEDs. Various associated factors for improving adherence were identified in this study.

Seizure detection devices: A survey of needs and preferences of patients and caregivers

AIMS

Seizure detectors could have many positive effects on the quality of life of people with epilepsy (PWE) such as alarms to reduce seizure-related injuries or reliable seizure counts leading to improved epilepsy management. As seizure detection gains increasing interest within the epilepsy research community, guidelines for patient-centered designs are needed. This study aims to detail the preferences, needs and concerns regarding potential seizure detectors, of PWE and their caregivers across Canada.

METHODS

Two questionnaires were designed to survey PWE and their caregivers on seizure detection acceptability and to collect general clinical characteristics. The surveys were available online for nine weeks and were promoted by Canadian organizations of PWE. Participation was voluntary and anonymous.

RESULTS

Responses from 221 PWE and 171 caregivers were collected. Ninety-seven percent of PWE and 99% of caregivers expressed interest in seizure detection. Most would use seizure detectors continuously, in conjunction with a seizure diary, and wanted automated alarms. Smartwatches and bracelets/rings were considered most acceptable and would be worn continuously by 58% and 61% of PWE, respectively. Additional value was attributed to multimodal seizure detection. Responders were most concerned about false negatives, comfort and cost. They expected seizure detection to improve their quality of life and quality of care, and felt confident in their ability to use a seizure detector.

CONCLUSIONS

While PWE and caregivers in Canada show great enthusiasm for seizure detection, their opinions are shaped by their perception of the effectiveness and reliability of this technology and its cost. A preliminary technology acceptance model and recommendations promoting the development of seizure detectors demonstrating an understanding of their future users are presented. Future investigations should focus on a larger population of patients who have previously used seizure detection devices to assess user-feedback.

The effects of a brief memory enhancement course on individuals with epilepsy

PURPOSE

The purpose of the study was to determine whether a brief memory enhancement course in persons with epilepsy (PWE) can improve cognitive abilities, quality of life, self-management, and seizure severity.

METHODS

Thirty-nine PWE completed a 1-hour memory enhancement course. This was preceded by a baseline/preintervention assessment (BA/PRE), followed by postintervention assessment (POST) at 1 & 1/2 to 3 months, and a delayed postintervention assessment evaluation (DPOST) at 4 & 1/2 to 6 months after course completion. In order to assess for retesting bias, an additional 30 PWE underwent a separate BA and PRE.

RESULTS

There was significant improvement on the Patient-Reported Outcomes Patient Information System version 2.0 Cognitive Function Abilities Subset and the Epilepsy Self-Management Scale (ESMS) on both POST and DPOST when compared with BA/PRE. Retesting bias did not occur. On ESMS subscale evaluation, significant improvement occurred on the Lifestyle Management subscale. There was no improvement in quality of life and seizure severity. There was good patient acceptability for the memory program.

CONCLUSION

A brief memory enhancement course results in sustained improvement in cognitive functioning and self-management of PWE.

Nonadherence to Antiepileptic Medications and Its Determinants among Epileptic Patients at the University of Gondar Referral Hospital, Gondar, Ethiopia, 2019: An Institutional-Based Cross-Sectional Study

Introduction

Nonadherence to antiepileptic medication is the extent of a patient's passive failure to follow the prescribed therapeutic regimen. The prevalence and impact of nonadherence to antiepileptic medication are high globally. The main purpose of this study was to assess nonadherence to antiepileptic medications and its associated factors among epileptic patients at the University of Gondar Referral Hospital, Gondar, Ethiopia, 2019.

Methods

An institutional-based cross-sectional study was conducted among 365 epileptic patients at the University of Gondar Referral Hospital, who were selected by a systematic random sampling technique. Data were collected by face to face interviews using a structured pretested questionnaire. Data were entered into EPI Info version 7 and then exported to SPSS version 22 for analysis. The data were described by descriptive statistics. Binary logistic regression analysis was used as a model, and variables with a p value of less than 0.05 were considered as statistically significant with nonadherence to antiepileptic medications.

Results

A total of 356 epileptic patients participated in the study yielding a response rate of 97.5%. The overall prevalence of nonadherence to antiepileptic medications among epileptic patients attending at the University of Gondar Referral Hospital was 38.5% (95% CI: 33.1–43.8). Divorced and/or widowed marital status (AOR: 3.38 (95% CI: 1.54, 7.44)), treatment duration of 3–5 years (AOR = 3.58 (95% CI: 1.38, 9.29)), treatment duration of 5 and above years (AOR: 3.49 (95% CI: 1.53, 7.95)), comorbidity (AOR: 2.42 (95% CI: 1.08, 5.43)), side effects of antiepileptic medications (AOR: 3.36 (95% CI: 1.67, 6.74)), absence of health information (AOR: 1.98 (95% CI: 1.11, 3.52)), epilepsy-related stigma (AOR: 2.81 (95% CI: 1.57, 5.02)), and negative attitude towards antiepileptic medications (AOR: 2.46 (95% CI: 1.36, 4.45)) were significantly associated with nonadherence to antiepileptic medications.

Conclusions

Prevalence of nonadherence to antiepileptic medications among epileptic patients at the University of Gondar Referral Hospital was found to be high. Hence, giving health information about epilepsy and its management will help to reduce antiepileptic medications' nonadherence.

Strategies for improving adherence to antiepileptic drug treatment in people with epilepsy

BACKGROUND

Poor adherence to antiepileptic medication is associated with increased mortality, morbidity and healthcare costs. In this review, we focus on interventions designed and tested in randomised controlled trials (RCTs) and quasi-RCTs to assist people with adherence to antiepileptic medication. This is an update of a Cochrane review first published in 2011, and last updated in 2017.

OBJECTIVES

To determine the effectiveness of interventions aimed at improving adherence to antiepileptic medication in adults and children with epilepsy.

SEARCH METHODS

For the latest update, we searched the following databases on 18 February 2020: Cochrane Register of Studies (CRS Web), MEDLINE, CINAHL Plus and PsycINFO. CRS Web includes RCTs or quasi-RCTs from PubMed, Embase, ClinicalTrials.gov, the World Health Organization International Clinical Trials Registry Platform (ICTRP), CENTRAL, and the Specialized Registers of Cochrane Review Groups including Epilepsy. We also searched the reference lists of relevant articles.

SELECTION CRITERIA

RCTs and quasi-RCTs of adherence-enhancing interventions aimed at people with a clinical diagnosis of epilepsy (as defined in individual studies), of any age and treated with antiepileptic drugs in a primary care, outpatient or other community setting.

DATA COLLECTION AND ANALYSIS

All review authors independently assessed lists of potentially relevant citations and abstracts. At least two review authors independently extracted data and performed a quality assessment of each study according to the Cochrane tool for assessing risk of bias. We graded the level of evidence for each outcome according to GRADE. The studies differed widely according to the type of intervention and measures of adherence; therefore combining data was not appropriate.

MAIN RESULTS

We included 20 studies reporting data on 2832 participants. Thirteen studies targeted adults with epilepsy, one study included participants of all ages, one study included participants older than two years, one recruited pediatric patients aged between 1 month to 15 years, one study targeted caregivers of children with epilepsy, one targeted adolescents and caregivers, and two studies targeted families of children with epilepsy. We identified three ongoing studies. Follow-up time was generally short in most studies, ranging from 1 to 12 months. The studies examined three main types of interventions: educational interventions, behavioural interventions and mixed interventions. All but three studies compared treatment with usual care or 'no intervention'. Due to heterogeneity between studies in terms of interventions, methods used to measure adherence and the way the studies were reported, we did not pool the results and these findings were inappropriate to be included in a meta-analysis. Education and counselling of participants with epilepsy had mixed success (moderate-certainty evidence). Behavioural interventions such as the use of intensive reminders provided more favourable effects on adherence (moderate-certainty evidence). The effect on adherence to antiepileptic drugs described by studies of mixed interventions showed improved adherence in the intervention groups compared to the control groups (high-certainty evidence). Eleven studies described seizure frequency or seizure severity or both, with four of them, reporting improved adherence and decreased seizure frequency in the intervention groups (moderate-certainty evidence). Findings related to self-efficacy and quality of life were mixed, with no clear pattern across types of intervention.

AUTHORS' CONCLUSIONS

Behavioural interventions such as intensive reminders and the use of mixed interventions demonstrate some positive results, however, we need more reliable evidence on their efficacy, derived from carefully-designed RCTs before we can draw a firm conclusion. None of the newly included studies have provided additional information that would lead to significant changes in our conclusions.

Adherence to Antiepileptic Drugs among Patients Attending the Neuro Spinal Hospital in the United Arab Emirates

Background:

Adherence to antiepileptic drugs (AEDs) is an integral component of epilepsy management. There are no previous data in the United Arab Emirates (UAE).

Objectives:

The aim of this study was to assess the prevalence of AED adherence among patients attending the Neuro Spinal Hospital in UAE and to identify the predictors of nonadherence.

Materials and Methods:

A cross-sectional study was conducted between April 2018 and May 2019, and included consecutive patients with epileptic who were receiving AEDs for at least 6 months. A validated interviewer-administered questionnaire was used. Adherence was assessed by four-item Morisky’s Medication Adherence Scale with a score between 0 and 4. Patients were considered adherent or nonadherent for a score of zero, or 1 and more, respectively. Chi-square test, binary, and multiple logistic regression analysis were used.

Results:

The study included 315 respondents, 70.8% (n = 223) were adherent, the rest were nonadherent. The most common factor affecting adherence was forgetfulness. Lower education level and having a seizure within the last 6 months were significant risk of nonadherence (odds ratio [OR] 95% confidence interval [CI] = 2.6 (1.2–5.8) and 2.5 (1.3–5.2), respectively), whereas levetiracetam intake reduces the risk of nonadherence (OR: 0.5 [0.2–0.9]).

Conclusions:

The prevalence of AED adherence was 70.8%. Education level and having a seizure in the last 6 months were significant predictors of nonadherence, whereas levetiracetam intake reduces the risk of nonadherence.

Seizure first aid training for people with epilepsy attending emergency departments and their significant others: the SAFE intervention and feasibility RCT

Background

No seizure first aid training intervention exists for people with epilepsy who regularly attend emergency departments and their significant others, despite such an intervention’s potential to reduce clinically unnecessary and costly visits.

Objectives

The objectives were to (1) develop Seizure first Aid training For Epilepsy (SAFE) by adapting a broader intervention and (2) determine the feasibility and optimal design of a definitive randomised controlled trial to test SAFE’s efficacy.

Design

The study involved (1) the development of an intervention informed by a co-design approach with qualitative feedback and (2) a pilot randomised controlled trial with follow-ups at 3, 6 and 12 months and assessments of treatment fidelity and the cost of SAFE’s delivery.

Setting

The setting was (1) third-sector patient support groups and professional health-care organisations and (2) three NHS emergency departments in England.

Participants

Participants were (1) people with epilepsy who had visited emergency departments in the prior 2 years, their significant others and emergency department, paramedic, general practice, commissioning, neurology and nursing representatives and (2) people with epilepsy aged ≥ 16 years who had been diagnosed for ≥ 1 year and who had made two or more emergency department visits in the prior 12 months, and one of their significant others. Emergency departments identified ostensibly eligible people with epilepsy from attendance records and patients confirmed their eligibility.

Interventions

Participants in the pilot randomised controlled trial were randomly allocated 1 : 1 to SAFE plus treatment as usual or to treatment as usual only.

Main outcome measures

Consent rate and availability of routine data on emergency department use at 12 months were the main outcome measures. Other measures of interest included eligibility rate, ease with which people with epilepsy could be identified and routine data secured, availability of self-reported emergency department data, self-reported emergency department data’s comparability with routine data, SAFE’s effect on emergency department use, and emergency department use in the treatment as usual arm, which could be used in sample size calculations.

Results

(1) Nine health-care professionals and 23 service users provided feedback that generated an intervention considered to be NHS feasible and well positioned to achieve its purpose. (2) The consent rate was 12.5%, with 53 people with epilepsy and 38 significant others recruited. The eligibility rate was 10.6%. Identifying people with epilepsy from attendance records was resource intensive for emergency department staff. Those recruited felt more stigmatised because of epilepsy than the wider epilepsy population. Routine data on emergency department use at 12 months were secured for 94.1% of people with epilepsy, but the application process took 8.5 months. Self-reported emergency department data were available for 66.7% of people with epilepsy, and people with epilepsy self-reported more emergency department visits than were captured in routine data. Most participants (76.9%) randomised to SAFE received the intervention. The intervention was delivered with high fidelity. No related serious adverse events occurred. Emergency department use at 12 months was lower in the SAFE plus treatment as usual arm than in the treatment as usual only arm, but not significantly so. Calculations indicated that a definitive trial would need ≈ 674 people with epilepsy and ≈ 39 emergency department sites.

Limitations

Contrary to patient statements on recruitment, routine data secured at the pilot trial’s end indicated that ≈ 40% may not have satisfied the inclusion criterion of two or more emergency department visits.

Conclusions

An intervention was successfully developed, a pilot randomised controlled trial conducted and outcome data secured for most participants. The consent rate did not satisfy a predetermined ‘stop/go’ level of ≥ 20%. The time that emergency department staff needed to identify eligible people with epilepsy is unlikely to be replicable. A definitive trial is currently not feasible.

Future work

Research to more easily identify and recruit people from the target population is required.

Trial registration

Current Controlled Trials ISRCTN13871327.

Funding

This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 39. See the NIHR Journals Library website for further project information.

Remedial dosing recommendations for delayed or missed doses of valproic acid in patients with epilepsy based on Monte Carlo simulations

OBJECTIVE

Delayed or missed doses are unavoidable in the pharmacotherapy of epilepsy and significantly compromise the efficacy of antiepileptic drug treatment. An inappropriate remedial regimen can cause seizure relapse or serious adverse events. This study investigated the effect of delayed or missed doses on the pharmacokinetics (PK) of valproic acid (VPA) in patients with epilepsy and established remedial dosing recommendations for nonadherent patients.

METHODS

Monte Carlo simulations are based on all previous population pharmacokinetic models for pediatric, adult and elderly patients with epilepsy. The following four remedial strategies were investigated for each delayed dose: A) A partial dose or a regular dose is taken immediately; a regular dose is taken at the next scheduled time. B) The delayed dose was administered immediately, followed by a partial dose at the next scheduled time. C) The delayed dose and a partial dose are taken; the next scheduled time is skipped, and the regular regimen is resumed. D) Double doses are taken when missed one dose or two doses, and the regular regimen at the subsequent scheduled time is resumed.

RESULTS

The recommended remedial dose was related to the delay duration and daily dose. Remedial dosing strategies A and B were almost equivalent, whereas Strategy C was recommended when the delayed dose was close to the next scheduled dose. Strategy D was only suggested for delayed two doses.

CONCLUSION

Simulations provide quantitative insight into the remedial regimens for nonadherent patients, and clinicians should select the optimal regimen for each patient based on the individual's status.

Forgetting to take antiseizure medications is associated with focal to bilateral tonic-clonic seizures, as revealed by a cross-sectional study

Objectives

To evaluate the effects of nonadherence to antiseizure medications (ASMs) and clinical characteristics on seizure control, we employed a prospective cohort cross-sectional study using self-reports and medical records of patients with epilepsy (PWEs).

Methods

Eight hundred and fifty-five PWEs taking ASMs were enrolled from fourteen collaborative outpatient clinics from January 2018 to March 2019. Questions from the Morisky Medication Adherence Scale were used as adherence self-reports. If a PWE’s questionnaire indicated that they had missed doses of their ASMs, outpatient physicians asked them directly about the details of their compliance, including the timing of intentionally or unintentionally missed doses. The association between lack of seizure control and utilization outcomes, such as missed doses, demographics, and clinical characteristics of the PWEs, were assessed by univariate and multivariate analyses.

Results

Multivariate analysis revealed that forgetting to take ASMs was associated with lack of seizure control and the existence of focal to bilateral tonic–clonic seizures. Dementia, younger age, use of three or more antiepileptic agents, and living in a one-person household were associated with the risk of forgetting to take ASMs.

Significance

For PWEs with poor drug management or a high incidence of missed doses of ASMs, efforts to improve adherence could facilitate better seizure control and decrease focal to bilateral tonic–clonic propagation.

Risk factors for depression in patients with epilepsy: A meta-analysis

BACKGROUND

Depression is common and associated with reduced quality of life (QoL) in people with epilepsy (PWE). Although multiple studies have investigated the relevant predictors, the results have been inconsistent. This meta-analysis aimed to investigate the risk factors that might increase the possibility of depression in this population.

METHODS

Medline, The Cochrane Library, Web of Science, and Embase were comprehensively searched for cross-sectional studies on the occurrence of depression in PWE. A random effects model was used to calculate the pooled hazard ratios (HRs) and 95% confidence intervals (95% CIs). Heterogeneity between the study results and the probability of publication bias were also assessed.

RESULTS

Fifty-one cross-sectional studies with sample sizes ranging from 36 to 1763 were included in this meta-analysis. The significant factors associated with an increased risk of depression were older age (odds ratio [OR]: 1.02, 95% CI: 1.00-1.04; p = 0.019), female gender (OR: 1.58, 95% CI: 1.30-1.93; p < 0.001), low education level (OR: 3.38, 95% CI: 2.86-4.00; p < 0.001), not being employed (OR: 1.61, 95% CI: 1.08-2.38; p = 0.019), poor antiepileptic drug (AED) adherence (OR: 2.84, 95% CI: 1.94-4.16; p < 0.001), polytherapy (OR: 2.25, 95% CI: 1.48-3.41; p < 0.001), stigma (OR: 2.22, 95% CI: 1.71-2.88; p < 0.001), and anxiety (OR: 2.21, 95% CI: 1.66-2.94; p < 0.001). A shorter epilepsy duration was significantly associated with a lower risk of depression (OR: 0.99, 95% CI: 0.99-0.99; p < 0.001), whereas marital status (OR: 1.07, 95% CI: 0.90-1.20; p = 0.684), economic level (OR: 1.01, 95% CI: 0.95-1.08; p = 0.684), age at seizure onset (OR: 0.99, 95% CI: 0.75-1.29; p = 0.912), and seizure control (OR: 1.03, 95% CI: 0.65-1.63; p = 0.900) did not increase the risk of depression.

CONCLUSION

This meta-analysis defined several factors related to an increased risk of depression in PWE and can contribute to better prevention and screening strategies for depression in this group. The mechanisms behind this comorbidity remain to be further investigated to determine individually appropriate and targeted interventions.

Self-reported antiepilepsy medication adherence and its connection to perception of medication error

Although 70% of people with epilepsy (PWE) achieve seizure freedom following an appropriate antiepileptic drug (AED) regime, evidence suggests that adherence to AEDs by PWE is suboptimal. Nonadherence to AEDs is associated with increased morbidity, mortality, emergency department visits, and hospitalizations, with reduced adherence also correlating to a lower quality of life, decreased productivity, and loss of employment. Furthermore, research indicates that medication errors which are widespread in chronic disease are less well studied in epilepsy but are likely also to contribute to avoidable disease morbidity and mortality. The goals of this project were to determine rates of medication adherence by self-reported questionnaire and its links to perceived medication error in a cohort of PWE attending a general epilepsy outpatient clinic. Following a plan-do-study-act cycle, it was found that the most appropriate methodology for conducting was in the form of a bespoke 9-item self-administered questionnaire. One hundred eighty-six PWE completed a nine-question questionnaire asking patients about their own medication adherence habits and their perception that they were previously exposed to medication error. This study found that 41% of respondents reported suboptimal adherence to AED therapy, while 28.5% of respondents self-reported that they unintentionally do not take their AED medication on an occasional, regular, or frequent basis. A 5.9% of respondents self-reported that they intentionally do not take their medication as prescribed. A 6% of respondents self-reported that they are both unintentionally and intentionally nonadherent to their AED therapy. No significant associations were demonstrated between age, sex, perceived effectiveness of medication, feelings of stigma/embarrassment, adverse effects or additional neurological comorbidities, and unintentional or intentional nonadherence. A 28.5% of respondents to the questionnaire reported that they perceived themselves to have been subjected to medication error. Prescribing errors were the most common form of perceived medication error, followed by dispensing errors, then administration errors. Significant associations were found between ineffective medication and feelings of stigma or embarrassment about epilepsy with perceived prescribing errors. Intentional nonadherence to medication was significantly associated with perceived dispensing errors.

Refractory epilepsy and nonadherence to drug treatment

In patients with epilepsy, nonadherence to agreed antiepileptic drug (AED) treatment may result in seizure relapse, and at worst sudden unexpected death. The aim of this study was to examine the extent of both unintentional and intentional nonadherence among Norwegian patients with refractory epilepsy and try to identify possible risk factors. At the National Centre for Epilepsy in Norway, 333 consecutive adult in- and outpatients with refractory epilepsy participated in an anonymous survey about adherence to drug treatment. Twenty-two percentages admitted that they sometimes or often forgot to take their drugs as scheduled, and 19% reported that they, rarely, sometimes or often intentionally did not follow the AED treatment plan agreed upon with their physician. Young age and depression were significantly correlated with unintentional nonadherence. Intentional nonadherence was associated with young age (36 years or younger). We found nonadherence not to be associated with any specific AED. In conclusion, about one-fifth of patients with refractory epilepsy admitted that they did not adhere to the agreed drug treatment plan, either intentionally or unintentionally. Measures to reduce nonadherence in this patient group may improve seizure control and should be tailored to address both unintentional and intentional lack of adherence.

Validation of the integrative model of adjustment to chronic conditions: Applicability to adult-onset epilepsy

Adapting to life with adult-onset epilepsy is a challenge and there is a need for better interventions to support people, who have difficulty with psychosocial adjustment to the condition. The integrative model of adjustment to chronic conditions was developed for type 2 diabetes. This study aimed to demonstrate the applicability of the model to adult-onset epilepsy and thus make an original contribution to the development of relevant interventions. Qualitative data from a previous phenomenological study on the experience of adult-onset epilepsy were mapped onto the integrative model of adjustment to chronic conditions using framework analysis. Ten of the original 39 datasets were selected. All 10 datasets were from females diagnosed with epilepsy within 5 years before participation in the original study. The results demonstrated applicability of the integrative model of adjustment to chronic conditions after minor revisions to the model. These findings support further development of the integrative model of adjustment to chronic conditions for use as a clinical intervention for people with adult-onset epilepsy.