Epilepsy treatment as a predeterminant of psychosocial ill health

Quality of life and associated factors among people with epilepsy in Ethiopia: a systematic review and meta-analysis

BACKGROUND

Epilepsy is a global health and economic burden with major problems that have an impact on physical, psychological, and social activities. Quality of life (QoL) is often disturbed and can be influenced by many factors, like anti-seizure medication side effects, the sociocultural environment, and various disease-related factors. The aim of this systematic review and meta-analysis is to provide an overview of the most recent information available regarding the pooled prevalence of poor quality of life and associated factors among adult people with epilepsy in Ethiopia.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) is an appropriate set of guidelines for reporting systematic reviews and meta-analyses. This systematic review and meta-analysis protocol was registered on the International Prospective Register of Systematic Reviews (PROSPERO) with CRD42024527914. To find publications for the systematic review and meta-analysis, we used both manual and electronic searches. The publications were searched by PubMed, MEDLINE, EMBASE, Cochrane Library, Scopus, and other grey publications were searched by Google Scholar. The Joanna Briggs Institute (JBI) for cross-sectional study quality assessment was employed to evaluate the methodological quality of the studies included in this review. The data was extracted in Microsoft Excel, and then it was exported into STATA 11.0 for analysis. A funnel plot and an objective examination of Egger's regression test were used to check for publication bias.

RESULTS

We have included 7 studies conducted in Ethiopia with 2123 study participants, of whom 1163 (54.78%) were male individuals, and 1196 (56.34%) of the participants were living without marriage (either single, divorced, or widowed). The pooled prevalence of poor quality of life among people with epilepsy in Ethiopia is 45.07 (95% CI: 39.73-50.42%). Further, in subgroup analysis regarding the assessment tool of poor quality of life of people with epilepsy, QOLIE-31 accounted for 50.05% (95%CI: 46.65-53.45) and WHO QOL BREF accounted for 39.72% (95%CI: 27.67-51.78). Among the associated factors, being unable to read and write, anxiey and depression were significantly linked to the quality of life of people with epilepsy.

CONCLUSION

This review found that there was a high pooled prevalence of poor quality of life related to people with epilepsy in Ethiopia. This study may provide further information to concerned bodies that do early screening and manage the quality of life of individuals with epilepsy. Also, screening and intervention for anxiety and depression problems should be considered in regular epilepsy care management.

Frequency of and factors associated with antiseizure medication discontinuation discussions and decisions in patients with epilepsy: A multicenter retrospective chart review

OBJECTIVE

Guidelines suggest considering antiseizure medication (ASM) discontinuation in patients with epilepsy who become seizure-free. Little is known about how discontinuation decisions are being made in practice. We measured the frequency of, and factors associated with, discussions and decisions surrounding ASM discontinuation.

METHODS

We performed a multicenter retrospective cohort study at the University of Michigan (UM) and two Dutch centers: Wilhelmina Children's Hospital (WCH) and Stichting Epilepsie Instellingen Nederland (SEIN). We screened all children and adults with outpatient epilepsy visits in January 2015 and included those with at least one visit during the subsequent 2 years where they were seizure-free for at least one year. We recorded whether charts documented (1) a discussion with the patient about possible ASM discontinuation and (2) any planned attempt to discontinue at least one ASM. We conducted multilevel logistic regressions to determine factors associated with each outcome.

RESULTS

We included 1058 visits from 463 patients. Of all patients who were seizure-free at least one year, 248/463 (53%) had documentation of any discussion and 98/463 (21%) planned to discontinue at least one ASM. Corresponding frequencies for patients who were seizure-free at least 2 years were 184/285 (65%) and 74/285 (26%). The probability of discussing or discontinuing increased with longer duration of seizure freedom. Still, even for patients who were 10 years seizure-free, our models predicated that in only 49% of visits was a discontinuation discussion documented, and in only 16% of visits was it decided to discontinue all ASMs. Provider-to-provider variation explained 18% of variation in whether patients discontinued any ASM.

SIGNIFICANCE

Only approximately half of patients with prolonged seizure freedom had a documented discussion about ASM discontinuation. Discontinuation was fairly rare even among low-risk patients. Future work should further explore barriers to and facilitators of counseling and discontinuation attempts.

Knowledge of epilepsy, quality of life, and psychiatric comorbidities in Lebanese adults with epilepsy

INTRODUCTION

People with epilepsy (PWE) face a variety of psychosocial challenges. A lack of knowledge of epilepsy, a high level of depression and anxiety and a low quality of life (QoL) are among the major problems that affect most PWE. The objective of this study was to examine the association of sociodemographic characteristics, clinical factors and knowledge of epilepsy with the level of QoL, and the presence of psychiatric comorbidities.

METHOD

A cross-sectional study was conducted in Lebanon. The PWE were recruited from neurologists' clinics in Beirut and its suburbs. A questionnaire translated into Arabic was used and composed of four parts: sociodemographic factors, clinical characteristics, psychosocial characteristics (QoL, psychiatric disorders), and knowledge epilepsy scale. Backward logistic regression models were developed, the associations were estimated by odds ratio (OR), and the level of significance was set at p ≤ 0.05.

RESULTS

Four hundred and four PWE were recruited in this study. About a half of PWE had controlled epilepsy (46.3 %) and 40.3 % had epilepsy for less than 5 years. The QoL was low for 38.6 % of PWE and 30.2 % had psychiatric comorbidities. More than half of PWE had a good level of knowledge (71.5 %). Controlled epilepsy (OR = 1.8; 95 %CI: 1.2-2.9), and good knowledge about epilepsy (OR = 5.5; 95 %CI: 3.4-9.1) were associated with better QoL. Patients on polytherapy with anti-seizure drugs (OR = 0.6; 95 %CI: 0.4-0.9), experienced side effects of anti-seizure drugs (OR = 0.6; 95 %CI: 0.4-0.9) and with psychiatric comorbidities (OR = 0.6; 95 %CI: 0.3-0.9) had a lower QoL. A high number of nonpsychiatric comorbidities (OR = 2.5; 95 %CI: 2.0-3.1) and a polytherapy increased the risk of having psychiatric comorbidities (OR = 1.8; 95 %CI: 1.1-2.8).

CONCLUSIONS

Good knowledge of epilepsy and the absence of psychiatric comorbidities are important predictors of good QoL in Lebanese PWE. Educational programs are needed to reduce misconceptions about epilepsy and improve mental health of PWE.

Psycho-socio-clinical profiles and quality of life in seizure disorders: A cross-sectional registry study

OBJECTIVE

This prospective study aimed at comparing quality of life (QoL) and psycho-socio-clinical profiles between patients with epilepsy, psychogenic nonepileptic seizures (PNES), and syncope. We also intended to identify predictors of QoL in these three seizure disorders.

METHODS

A total of 245 inpatients (epilepsy n = 182, PNES n = 50, syncope n = 13) from a tertiary epilepsy clinic were included. Information on QoL as well as on psychological, sociodemographic, and clinical profiles was retrieved using questionnaires and medical records. Group comparisons on QoL and psycho-socio-clinical profiles were performed via analyses of variance, chi-square tests, and related post hoc tests. Predictors of QoL in epilepsy and PNES were determined using general linear modeling, which was not possible for syncope due to a small sample size.

RESULTS

Patients with epilepsy, PNES, and syncope reported levels of QoL impairment that did not differ significantly between groups (p = 0.266). However, there were significant group differences regarding sex distribution (p < 0.001), seizure disorder duration (p = 0.004), seizure frequency (p = 0.019), current treatment with antiseizure medications (ASM) (p < 0.001), number of current ASM (p < 0.001), and adverse ASM events (p = 0.019). More depressive symptoms (p = 0.001), more adverse ASM events (p = 0.036), and unemployment (p = 0.046) (in this order) independently predicted a diminished QoL in epilepsy. For PNES, more depressive symptoms were the only independent predictor of lower QoL (p = 0.029).

CONCLUSIONS

Patients with epilepsy, PNES, and syncope experience similarly diminished QoL and show a general psycho-socio-clinical burden with a specific pattern for each seizure disorder diagnosis. Although clinical aspects play an undisputed role for QoL in epilepsy, the psychosocial aspects and consequences are equally, or for PNES probably even more, meaningful. A comprehensive approach to research and treatment of seizure disorders seems mandatory to increase QoL for these patients. More research on QoL in syncope is needed.

Incidence of and predictors for antiseizure medication gaps in Medicare beneficiaries with epilepsy: a retrospective cohort study

BACKGROUND

For the two-thirds of patients with epilepsy who achieve seizure remission on antiseizure medications (ASMs), patients and clinicians must weigh the pros and cons of long-term ASM treatment. However, little work has evaluated how often ASM discontinuation occurs in practice. We describe the incidence of and predictors for sustained ASM fill gaps to measure discontinuation in individuals potentially eligible for ASM withdrawal.

METHODS

This was a retrospective cohort of Medicare beneficiaries. We included patients with epilepsy by requiring International Classification of Diseases codes for epilepsy/convulsions plus at least one ASM prescription each year 2014-2016, and no acute visit for epilepsy 2014-2015 (i.e., potentially eligible for ASM discontinuation). The main outcome was the first day of a gap in ASM supply (30, 90, 180, or 360 days with no pills) in 2016-2018. We displayed cumulative incidence functions and identified predictors using Cox regressions.

RESULTS

Among 21,819 beneficiaries, 5191 (24%) had a 30-day gap, 1753 (8%) had a 90-day gap, 803 (4%) had a 180-day gap, and 381 (2%) had a 360-day gap. Predictors increasing the chance of a 180-day gap included number of unique medications in 2015 (hazard ratio [HR] 1.03 per medication, 95% confidence interval [CI] 1.01-1.05) and epileptologist prescribing physician (≥25% of that physician's visits for epilepsy; HR 2.37, 95% CI 1.39-4.03). Predictors decreasing the chance of a 180-day gap included Medicaid dual eligibility (HR 0.75, 95% CI 0.60-0.95), number of unique ASMs in 2015 (e.g., 2 versus 1: HR 0.37, 95% CI 0.30-0.45), and greater baseline adherence (> 80% versus ≤80% of days in 2015 with ASM pill supply: HR 0.38, 95% CI 0.32-0.44).

CONCLUSIONS

Sustained ASM gaps were rarer than current guidelines may suggest. Future work should further explore barriers and enablers of ASM discontinuation to understand the optimal discontinuation rate.

Reappraisal of the Medical Research Council Antiepileptic Drug Withdrawal Study: contamination‐adjusted and dose‐response re‐analysis

Objective

The 1991 Medical Research Council (MRC) Study compared seizure relapse for seizure‐free patients randomized to withdraw vs continue of antiseizure medications (ASMs). We re‐analyzed this trial to account for crossover between arms using contamination‐adjusted intention to treat (CA ITT) methods, to explore dose‐response curves, and to validate predictions against external data. ITT assesses the effect of being randomized to withdraw, as‐treated analysis assesses the confounded effect of withdrawing, but CA ITT assesses the unconfounded effect of actually withdrawing.

Methods

CA ITT involves two stages. First, we used randomized arm to predict whether patients withdrew their ASM (logistic) or total daily ASM dose (linear). Second, we used those values to predict seizure occurrence (logistic).

Results

The trial randomized 503 patients to withdraw and 501 patients to continue ASMs. We found that 316 of 376 patients (88%) who were randomized to withdraw decreased their dose at every pre‐seizure visit, compared with 35 of 424 (8%) who were randomized to continue (p < .01). Adjusted odds ratios of a 2‐year seizure for those who withdrew vs those who did not was 1.3 (95% confidence interval [CI] 0.9–1.9) in the as‐treated analysis, 2.5 (95% CI 1.9–3.4) comparing those randomized to withdraw vs continue for ITT, and 3.1 (95% CI 2.1–4.5) for CA ITT. Probabilities (withdrawal vs continue) were 28% vs 24% (as‐treated), 40% vs 22% (ITT), and 43% vs 21% (CA ITT). Differences between ITT and CA ITT were greater when varying the predictor (reaching zero ASMs) or outcome (1‐year seizures). As‐treated dose‐response curves demonstrated little to no effects, but larger effects in CA ITT analysis. MRC data overpredicted risk in Lossius data, with moderate discrimination (areas under the curve ~0.70).

Significance

CA ITT results (the effect of actually withdrawing ASMs on seizures) were slightly greater than ITT effects (the effect of recommend withdrawing ASMs on seizures). How these findings affect clinical practice must be individualized.

Health-related quality of life and associated factors among patients with epilepsy at the University of Gondar comprehensive specialized hospital, northwest Ethiopia

PURPOSE

Epilepsy is a global public health problem that causes a profound physical, psychological and social consequences. However, as such evidence in our country is limited, this study aimed to assess the health-related quality of life (HRQOL) and associated factors among patients with epilepsy.

METHODS

An institution-based cross-sectional study was conducted on 370 patients with epilepsy. The Quality of Life in Epilepsy Inventory-31 (QOLIE-31) was used to measure HRQOL. Multiple linear regression was fitted to assess the association between HRQOL and the independent variables, and a P-value < 0.05 and a 95% confidence interval were used to declare statistical significance.

RESULTS

More than 55% of the participants were male, and the mean age of the participants was 29.64 (11.09) years. The overall HRQOL score was 55.81 (14.00). The scale scores ranged from 46.50 (15.55) to 64.98 (19.43). Out of the seven scales, the energy scale score was the lowest. Frequency of seizure, anxiety, depression, perceived stigma and adverse drug event were negatively associated with HRQOL, whereas social support had a significant positive association.

CONCLUSION

This study revealed that the HRQOL of patients was low and that its energy and emotional scales were the most affected. The presence of depression, anxiety and stigma adversely affected patient HRQOL. Therefore, healthcare professionals should be aware of the emotional state of the role it plays for HRQOL. Interventions aimed at reducing psychosocial problems and stigmatization are also needed to improve the patient HRQOL.

Polypharmacy in patients with epilepsy: A nationally representative cross-sectional study

OBJECTIVE

The objective of the study was to characterize the prevalence of polypharmacy and central nervous system (CNS)-acting medications in patients with epilepsy, and particular types of medications.

METHODS

This was a retrospective cross-sectional study using data from the nationally representative National Health and Nutrition Examination Survey (NHANES). We included patients who reported taking at least one prescription medication in order to treat seizures or epilepsy during NHANES survey years 2013-2016. We assessed the number and types of drugs and predictors of total number of medications using a negative binomial regression. We then assessed prevalence of polypharmacy (≥5 medications), CNS polypharmacy (≥3 CNS-acting medications) and additional CNS-acting medications, and drugs that lower the seizure threshold (i.e., bupropion and tramadol), and extrapolated prevalence to estimated affected US population.

RESULTS

The NHANES contained 20,146 participants, of whom 135 reported taking ≥1 antiseizure medication (ASM) for seizures or epilepsy representing 2,399,520 US citizens using NHANES's sampling frame. Patients reported taking a mean 5.3 (95% confidence interval (CI): 4.3-6.3) prescription medications. Adjusting for race, sex, and uninsurance, both age and number of chronic conditions predicted increased number of medications (incident rate ratio (IRR) per decade: 1.16, 95% CI: 1.04-1.28; IRR per chronic condition: 1.19, 95% CI: 1.11-1.27). Polypharmacy was reported by 47% (95% CI: 38%-57%) of patients, CNS polypharmacy by 34% (23%-47%), benzodiazepine use by 21% (14%-30%), opioid use by 16% (11%-24%), benzodiazepine plus opioid use by 6% (3%-14%), and 6% (2%-15%) reported a drug that lowers the seizure threshold. Twelve percent (7%-20%) took an opioid with either a benzodiazepine or gabapentinoid.

CONCLUSIONS

Polypharmacy is common in patients with epilepsy. Patients taking ASMs frequently reported also taking other CNS-acting medications (i.e., opioids, benzodiazepines, seizure threshold-lowering medications), and medication combinations with black box warnings. Central nervous system polypharmacy poses health risks. Future research is needed to explore drivers of polypharmacy and strategies to help mitigate potentially harmful prescription use in this high-risk population.

Patient reported adverse events among epileptic patients taking antiepileptic drugs

Objective:

The aim of this study was to assess patient reported adverse events and associated factors among epileptic patients taking antiepileptic drugs on follow-up at University of Gondar Referral Hospital.

Methods:

Cross-sectional study was done on 354 adult epileptic patients. Patients who were on antiepileptic drugs for epilepsy treatment for less than a year, those who were below 18 years old, patients with incomplete information on the chart and those who were involuntary or uncooperative were excluded from the study. Data were entered in to SPSS version 20.0 for analysis. Bivariate and multivariate binary logistic regression analysis was done to see factors associated with antiepileptic drugs adverse effect. Level of statistical significance was declared at p ≤ 0.05.

Result:

Generalized tonic clonic seizure was the most common (86.2%) type of epilepsy. A total of 79 adverse events were reported. The most frequently encountered adverse events were fatigue (5.08%), gastrointestinal disturbance (4.24%) and sedation/depression (4.24%). Adverse drug effect of antiepileptic drugs was significantly associated with illiterate educational status, increased number of antiepileptic drugs, no seizure during last follow-up and last year, and 1–5 seizures for the last year.

Conclusion:

About one-sixth of epileptic patients reported adverse drug effects. Adverse drug effects were more commonly seen in patients with low educational status, increased number of antiepileptic drugs, absence of seizure during last follow-up and last year, and 1–5 seizures for the last year. So clinicians should give emphasis for patients with these characteristics to counsel on how to minimize or prevent adverse drug events from antiepileptic drugs or giving reassurance about it if it is minor.

Relation of Perceived Stigma to Adverse Events of Medications in Patients with Epilepsy

Purpose. We aimed to assess the influence of adverse events (AEs) of antiepileptic drugs (AEDs) on perceived stigma of Bulgarian patients with epilepsy. Methods. Our study was based on questionnaires (Liverpool Adverse Events Profile (LAEP) and stigma scale), information from medical documentation, and an interview on clinical factors of 153 consecutive patients with epilepsy. Results. Perceived stigma was observed in 64.71% of the study participants. There was a significant association between perceived stigma and the total LAEP score (p < 0.05, F = 13.71). Patients who reported AEs had an increased risk of perceiving stigma compared to those who did not experience AEs. A significant correlation between perceived stigma and the presence of neurological and psychiatric AEs (p < 0.001, r = +0.60) and a mild correlation between perceived stigma and the presence of nonneurological AEs (p < 0.01, r = +0.20) were verified. In a multivariate regression analysis the only predictors of perceived stigma were AED polytherapy and the presence of neurological and psychiatric AEs. Conclusions. AEs of AEDs in patients with epilepsy significantly correlate with perceived stigma. Our study results will be useful in the campaign to overcome stigma predictors.

The biopsychosocial model and quality of life in persons with active epilepsy

BACKGROUND

Despite a long recognized need in the field of the importance of the psychological and social factors in persons with epilepsy (PWE), the medical community has continued to focus primarily on seizures and their treatment (the biological-biomedical model). From the biopsychosocial perspective, a person's lived experience needs to be incorporated into the understanding of quality of life. While the biopsychosocial model has gained prominence over the years, it has not been studied much in epilepsy.

METHODS

The study sample included 1720 PWE from the 2003 and the 2005 Canadian Community Health Survey (CCHS). Data were analyzed using set correlation, as it allows for the examination of the relative contribution of sets of independent variables (biological, psychological, and social domains) and a set of dependent variables (quality of life) of interest, defined as self-rated health status, self-rated mental health status, and life satisfaction.

RESULTS

Results provide strong evidence that the full biopsychosocial model explained a significantly larger amount of variance in quality of life (R(2) = 55.0%) compared with the biological-biomedical model alone (R(2) = 24.8%). When the individual domains of the biopsychosocial model were controlled for, the psychological (R(2) = 24.6%) and social (R(2) = 18.5%) domains still explained a greater amount of the variance in quality of life compared with the biological-biomedical model (R(2) = 14.3%).

CONCLUSIONS

While seizure freedom will continue to be an important treatment goal in epilepsy, the psychological and social domains are an important consideration for both interventional programs and clinical research designed to improve quality of life in PWE. Better integration of social workers and psychologists into routine care may help address these disparities.

The impact of epilepsy on patients' lives

The impact of epilepsy is multifaceted and extensive on its effects. The occurrence of seizures is unpredictable and often dangerous, increasing the risk of injury, hospitalization and mortality, and adversely affecting a patient's mental health, often resulting in anxiety, depression or cognitive impairment. Seizures can also result in stigmatization and social exclusion, with detrimental effects on an individual's confidence and self-esteem. However, the burden of epilepsy extends beyond the effects of seizures themselves. In particular, individuals with epilepsy are significantly more likely to have medical or psychiatric comorbidities than those without epilepsy, and comorbidity in patients with epilepsy has been shown to be strongly correlated with negative impacts on subjective health status and quality of life (QoL). In addition, antiepileptic drug (AED) treatment is commonly associated with side effects, which further impair patients' QoL. Patient surveys provide valuable insights into what matters to patients in their daily lives and highlight important discrepancies between the perceptions of patients and their physicians. For example, survey data show that physicians underestimate the number of patients experiencing AED side effects and the impact of these on patients. Screening questionnaires can help physicians to quickly identify problems with treatment side effects; also, to recognize comorbidities such as depression that are otherwise difficult to identify in a time-limited consultation. Ultimately, successful management of epilepsy requires a holistic approach to care, with treatment tailored to the individual patient's needs; this can only be achieved through effective doctor-patient communication and the full involvement of a multidisciplinary care team.

Self-esteem and sense of coherence in young people with uncomplicated epilepsy: a 5-year follow-up

OBJECTIVE

It is not clear how the psychosocial well-being of young people with epilepsy is affected by growing up with the condition. We studied self-esteem and sense of coherence in a group of young adults with epilepsy and compared the results with those obtained 5 years earlier.

METHODS

The participants (n = 97) answered questionnaires regarding self-esteem, sense of coherence, and medical characteristics.

RESULTS

Self-esteem and sense of coherence both decreased during the 5-year study period. Self-esteem was correlated to epilepsy-related variables. Participants who were seizure free scored higher on sense of coherence, but there was no association between seizure frequency and sense of coherence among participants who still experienced seizures.

CONCLUSION

We found that there was a decline in both sense of coherence and self-esteem over time for young adults with epilepsy. Growing up with epilepsy can lead to impairment of sense of coherence. Sense of coherence does not significantly correlate with epilepsy-related factors, but mirrors the phenomenon of epilepsy. Self-esteem is associated with such epilepsy-related factors as seizure frequency.