|Year : 2019 | Volume
| Issue : 3 | Page : 104-111
Burden of epilepsy on adolescents and their families in Zagazig University hospital. “A cross sectional study”
Amany M AbdAllah1, Mahmoud A Sharafeddin2, Nesma A Ghonemi3
1 Lecturer of Family Medicine, Faculty of Medicine, Zagazig University, Zagazig, Egypt
2 Lecturer of Nternal Medicine, Faculty of Medicine, Zagazig University, Zagazig, Egypt
3 Lecturer of Neurology, Faculty of Medicine, Zagazig University, Zagazig, Egypt
|Date of Submission||15-Oct-2019|
|Date of Decision||06-Feb-2020|
|Date of Acceptance||25-Feb-2020|
|Date of Web Publication||08-Aug-2020|
MD Amany M AbdAllah
Lecturer of Family Medicine, Faculty of Medicine, Zagazig University, Zagazig, 44519
Source of Support: None, Conflict of Interest: None
Background Epilepsy is a chronic neurological disorder, which has potentially adverse cognitive and psychosocial consequences.
Objectives To assess the quality of life (QOL) of adolescents with epilepsy (AWE) and their families and also factors affecting it, related to both the disease burden and the antiepileptic drug.
Patients and methods A cross-sectional study was done on 217 AWE and one parent each. Sociodemographic and disease-related data were collected. Patients completed the QOL in epilepsy questionnaire (AD-48) and pediatric epilepsy side effects questionnaire. The parents completed impact of epilepsy on QOL questionnaire.
Results Mean patients’ age was 14.33 years old, having disease since a mean duration of 6.62 years. Overall, 59.5% of them received polytherapy, with 37.3% having received new line of drugs. Approximately one-third of them had partial seizures. Half of them had one or two attacks per month. The mean total QOL score was 55.91±5.55. The largest percentage of parents reported that epilepsy had worse effects on their attitude, family change, general well-being, and adolescents’ QOL. There are significant relationships between QOL and mother education, age group, disease duration, seizures frequency, and type and line of antiepileptic drugs. There are significant negative correlations between all pediatric epilepsy side effects questionnaire domains and QOL.
Conclusions Epilepsy had adverse effect on AWE and their families. Illiterate mothers, older, increasing duration, seizure frequency, generalized type, and being on old or combined drug regimens are the predictors of poor QOL.
Keywords: adolescents, epilepsy, predictor, quality of life
|How to cite this article:|
AbdAllah AM, Sharafeddin MA, Ghonemi NA. Burden of epilepsy on adolescents and their families in Zagazig University hospital. “A cross sectional study”. Kasr Al Ainy Med J 2019;25:104-11
|How to cite this URL:|
AbdAllah AM, Sharafeddin MA, Ghonemi NA. Burden of epilepsy on adolescents and their families in Zagazig University hospital. “A cross sectional study”. Kasr Al Ainy Med J [serial online] 2019 [cited 2020 Sep 30];25:104-11. Available from: http://www.kamj.eg.net/text.asp?2019/25/3/104/291755
| Introduction|| |
The management of epilepsy involves a number of actions that goes beyond just seizure control without adverse treatment effects. These actions include psychological and social interventions. Hence, management strategy of adolescents with epilepsy (AWE) should be comprehensive, including measuring quality of life (QOL) ,,.
Adolescence is a time of rapid physical, psychological, and social development. For young people with epilepsy, the normal needs and concerns linked to being an adolescent are overlapped with the health problem that can hence add additional limits on lifestyle and independence. It is essential for healthcare professionals to recognize the effect of epilepsy on patients’ lives and to understand their specific needs .
It is expected that there is a significant effect of epilepsy on adolescents’ and their families’ QOL. For this reason, along with an inquiry on the child’s clinical condition, information should be obtained on the social and personal effect of epilepsy on various family members ,,.
Identifying modifiable and nonmodifiable predictors of QOL status over the course of epilepsy treatment can aid clinicians to better comprehend which patients are at danger of having reduced QOL and need well-timed interventions. Yet, there is a lack of research on QOL among AWE from the developing countries, including Egypt ,.
| Aim|| |
The aim was to assess the QOL of AWE and their families and also factors affecting it, related to both the disease burden and the antiepileptic drugs (AEDs).
| Patients and methods|| |
This cross-sectional study was conducted in the Pediatric and Neurology Outpatient Clinics of Zagazig University hospitals. The center is a governmental tertiary center that caters to heterogeneous population, representing both urban and rural patients.
The sample size was calculated by EpIOpen software (Open Source Epidemiologic Statistics for Public Health, Version, www.OpenEpi.com) with power of study 80% and confidence limit 95%. Assuming that 520 AW attending outpatient clinics of Zagazig University hospital within 6 months and prevalence of bad QOL among children and AWE being 60% , so 217 patients with epilepsy were included and one parent each.
The following were the inclusion criteria:
- Patients with primary epilepsy of both sexes aged from 11 to 18 years old.
- All selected patients should have good medication adherence.
- Patients with presence of associated comorbidities or developmental conditions were excluded.
All studied AWE were interviewed using the following questionnaire:
- Sociodemographic information was obtained by using the questionnaire of El-Gilany et al.  to assess socioeconomic status of the study participants.
- Quality of life in epilepsy (QOLIE AD-48) for children and adolescents: it is a disease-specific instrument for the assessment of health-related quality of life (HRQOL) in AWE .
- It contains 48 (and three optional) items on eight subscales: epilepsy effect (12 items), memory/concentration (10 items), attitudes toward epilepsy (four items), physical functioning (five items), stigma (six items), social support (four items), school behavior (four items), and health perceptions (three items). The subscale scores, as well as an overall score, range from 0 to 100; the higher the score, the better the QOL. It is a sensitive, validated, and test–retested (r=0.83) instrument, which is easy to administer and to score. The average time for completion is 15–20 min. The QOLIE AD-48 could provide information about a variety of issues pertinent to AWE, foremost HRQOL .
- Pediatric epilepsy adverse effects questionnaire:
- It is a 19-item measure of AED adverse effects collected 1 month after diagnosis. Scores range from 0 to 100, with higher scores representing more adverse effects. The pediatric epilepsy side effects questionnaire (PESQ) has strong internal consistency and test–retest reliability. Cronbach’s alphas for the current sample were as follows: total (a¼.96), cognitive (six items; a¼.94), motor (four items; a¼.94), behavioral (three items; a¼.92), general neurological (four items; a¼.75), and weight (two items; a¼.88) .
- A structured case record form:
- A structured case record form was used for the collection of a number of variables. Data recorded included, among others, demographics, clinical findings, date of seizure onset, seizure type(s), seizure frequency, etiology of epilepsy, epilepsy syndrome, and adverse effects.
- Impact of epilepsy on quality of life (IEQOL) :
The IEQOL includes a brief section on the satisfaction about the information imparted to the family by the treating physician (items A1–A2). Five domains follow (B through F) with questions concerning the reactions of the parents when faced with epilepsy (B1–B3), the changes in the family’s QOL after the onset of the disease (C1–C7), the family’s wellness and its changes (D1–D5), the status of the child’s/adolescent’s QOL (E1–E4), and the perception about treatment administration and its effects (F1–F4). For each domain, the answer should document a change after the onset of epilepsy, which is categorized, using a Likert scale, as ‘high,’ ‘moderate,’ ‘mild,’ or ‘none.’
All questionnaires were translated into Arabic by an expert panel and retranslated again to English. Arabic translations of QOLIE AD-48, PESQ, and IEQOL were reliable (Cronbach’s alpha was 0.84, 0.83, and 0.79, respectively).
This was done on 10% of sample (22 patients and their parents) to calculate necessary time for questionnaire and check feasibility, and ease of understanding of questionnaires. No modifications were done.
All patients completed history taking and thorough clinical examination. Then they were asked to complete the study questionnaires. One parent for each parent filled in IEQOL. This took 45 min for each patient and his/her parent.
Administrative design and ethical consideration
The study was approved by ethical committee in Faculty of Medicine, Zagazig University. The necessary permissions were taken from pediatric and neurology outpatient clinics.
An informed verbal consent was taken from all study participants after explaining objectives of the study. Confidentiality of data was assured.
Data were analyzed using the statistical package for the social sciences, version 20 computer program (IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp). The results were presented as tables. Data were presented as means±SDs, number, and percentage (frequency distributions). The χ2 test was used for the comparison between the categorical data. The independent Student t test (two sided) and nonparametric tests were used for comparing the numerical data. A P value of less than 0.05 was considered statistically significant throughout all statistical tests within this study.
| Results|| |
More than half of them were from 11 to less than 15 years old. The largest percentage of them was female from urban areas. Approximately two-thirds of them were from low and middle social class. Approximately one-fifth of their mothers had high education.
Regarding disease-specific characteristics, ∼60% of them received polytherapy. The largest percentage is on AEDs. Approximately 31% of patients had last attack since 1 week to less than 1 month. Approximately one-third of them had partial seizures. The mean disease duration among them was 6.62 years old. On asking about frequency of attacks in the past month before our study, one-half of them had one or two attacks per month. Approximately 37% of them were on new AEDs ([Table 1]).
On assessing self-reported HRQOL, mean effect of epilepsy was 64.88 (±7.95), mean memory and concentration domain was 60.18 (±7.77), mean attitude 60.6 (±11.59), mean physical 67.37 (±7.95), mean stigma 56.77 (±7.77), mean social support 49.22 (±9.61), mean school performance 47.75 (±7.98), mean health perception 40.09 (±10.19), and mean total score was 55.91 (±5.55). Health perception, school performance, and social support had the worst score.
On assessing relation between some demographic criteria and total QOL score, there were statistically nonsignificant relations between sex, residence, and QOL. However, there were statistically significant differences between age group, mother education, and QOL. Youngest age group and higher maternal education had the highest QOL score ([Table 2]).
|Table 2 Relation between demographic factors and self-reported quality of life|
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Regarding epilepsy-specific criteria, there were statistically significant differences between disease duration, seizure type, frequency of attack, type of AEDs, and total QOL score, with those with shorter disease duration, on new line of AEDs, and had no attacks in the previous months had the better QOL. Patients with generalized seizures had significantly the worst QOL. No difference was found between mono or polytherapy and time since last seizures and QOL ([Table 3]).
|Table 3 Relation between disease-specific characteristics and quality of life|
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On measuring parents’ burden on QOL, the largest percentage of parents reported that epilepsy had highly adverse effects on their attitude, family change, general well-being, and adolescents’ QOL ([Figure 1]).
|Figure 1 Combined bar chart showing scores of patients’ burden on quality of life.|
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There was statistically significant relationship between parents-reported QOL and their child self-reported QOL. Both parents and their offsprings had approximately the same evaluation of QOL ([Table 4]).
|Table 4 Relation between parent-reported patient quality of life and patient self-reported quality of life|
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By using PESQ, different domains of adverse effects were assessed; the least reported adverse effect was cognitive domain (28±10.6) whereas the worst affected one was behavioral (43.35±11.87) followed by weight gain (38.11±18.47) and motor domains (38.04±9.78) followed by general neurological domain (31.31±7.15). The mean total PESQ score was 34.3 (±4.76).
On studying correlation between PESQ score and total QOL score, there are significant negative correlations between cognitive, general neurological behavioral, weight gain, and motor domains and QOL. Decreasing adverse effect scores was linked to improvement in QOL ([Table 5]).
|Table 5 Correlation between type of adverse effect and total quality of life scale|
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On studying the potential risk factors for poor self-reported QOL, having an illiterate mother increased the risk for poor QOL by 2.428 folds, having generalized seizures increased the risk by 12.44 folds, whereas being older adolescent and/or having epilepsy for longer period increased the risk for poor QOL by 3.398 and 0.12 fold, respectively. Being on old or combined drug regimen increased the risk by 4.183 folds. More frequent attacks of epilepsy increased the risk by 0.43 folds ([Table 6]).
|Table 6 Multivariate analysis for predictors of poor self-reported quality of life|
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| Discussion|| |
Epilepsy can significantly impair QOL, not merely owing to its chronic course, need for regular medications use, and adverse effects but also owing to being a stigma with social constraints .
QOL was studied previously in Egypt among AWE . A more recent Egyptian study used the Arabic translation of the 23-item Pediatric QOL Generic Core Scales for patients, which is a parent scale, and included children aged 8–12 years . The current study is unique in appraising both self-reported QOL and parents-evaluated patient QOL to compare their views with those of their parents. Moreover, the occurrence of adverse effects of antiepileptic medications in our patients and its effect on their QOL were assessed using the 19-item PESQ.
In this study, QOL was correlated to the main characteristics of the epilepsy, hypothesizing that the social and personal features of childhood-onset epilepsy vary concerning the type, severity, and possibly the duration of the disorder. Age inversely affected the overall QOL as the youngest age group had the highest QOL score. The lower QOL score in older adolescents can be attributed to perceived stigma and that they feel more embarrassed of their condition, and worry about social isolation. Similarly, Nadkarni et al.  exhibited that older adolescents had a poorer HRQOL. Nonsignificant difference was observed with respect to sex. Stevanovic  also stated that total HRQOL scores were equivalent between boys and girls. Adolescents with higher maternal education had the highest QOL score thanks to better care, understanding of the disease pattern, and keeping on regular therapy, and generally the level of education and better employment status are usually associated with increased awareness of the public toward epilepsy. This finding is parallel to that reported by different studies ,,. On the contrary, a previous study reported lower self-esteem scores and lower QOL in adolescents with higher educated mothers than those of the children with illiterate mothers, and they postulated that this occurs owing to the higher expectations of the educated mothers from their adolescents, which led them to perceive the QOL of their AWE more negatively .
Overall QOL was significantly compromised in patients of generalized epilepsy. They had poor QOL in social relationships and ability to work, as a result, generalized epilepsy is less well accepted in our community. This finding is in harmony with that conveyed by Adla et al.  and Monir et al. . This contradicts that reported by Aggarwal et al.  who stated poorer overall QOL in patients with partial seizures. They speculated that this result may be skewed owing to small number of patients with generalized epilepsy compared with partial epilepsy in their sample.
QOL is also related to seizure frequency. The current study denoted that the lesser the seizure frequency, the better the self-reported QOL, especially those related to physical, social, and psychological variables. Similar results were conveyed by Siqueira et al.  in Brazilian AWE. Their patients reported good QOL scores when they themselves perceived the disease as under control. Similarly, the higher the seizure frequency, the lower the QOL scores. Viteva  proved that the QOL is sensitive to differences in seizure frequency. These results are also consistent with previous reports ,,.
AWE perceive stigma as a result of epilepsy, and this has significant effect on their QOL and social relations. Many adolescents experience bullying, being talked about, and laughed at. They were conscious of being treated differently from other siblings and peers by both parents and teachers. AWE also experienced overprotectiveness that leads to restriction of their daily activities. AWE may perceive this act as prejudice ,.
The effect of epilepsy on cognitive functioning was reported by adolescents in the present study as well as other ones ,. This comprised compromised attention/concentration, slower thinking rapidity with intellectual slow down, muddled speech, and word finding difficulty.
For adolescents, the cognitive effects of having epilepsy and its effect on school and examination attendance could affect educational performance, with poor academic achievement. Our results are in harmony with those of Wo et al. . For AWE, there may be little motivation to accomplish educational qualifications, as they might think that no-one would employ them .
Self-evaluation of adolescents’ QOL was compared with their parents’ opinions about QOL. Parents’ perception of adolescents’ suffering owing to epilepsy was significantly correlated to the adolescents’ attitudes toward epilepsy. This agrees with Haneef et al.  but not with others ,,.
This study also concentrated on the parental reaction towards that their child has epilepsy, they may feel stigmatizing towards that. It is going to be affected for years by a disease loaded with ‘stigma’. Moreover, the cost of disease (e.g. the need for relatively expensive long-term AEDs and possibly symptomatic therapy for potential adverse effects, the need for special diet, and frequent specialist visits) increases economic burden on the family. This increases parental anxiety and eventually leads to deterioration of family’s QOL.
The present study appraised the association between the occurrence of the adverse effects of AEDs and the QOL among AWE. Presence of adverse effects of AEDs is associated with lower QOL scores.
The present data go hand in hand with other studies ,,,,, that demonstrated that AED-related adverse effects substantially influence the overall functioning and well-being in children and adolescents and significantly disturb the general aspects of the HRQOL in the physical, cognitive, and psychosocial domains. Patients of this study have reported certain physical effects of AEDs that were experienced independently of seizures, for example, fatigue, increased need for sleep, headache, dizziness, imbalance, and weight gain. Similar physical symptoms were reported in previous studies ,,.
This is an important concern for clinical practice in deciding suitable actions to lessen the adverse effects of AEDs, such as reducing the dosage, altering the dosage schedule, or even changing its type. Thus, it may be possible to develop precise interventions for decreasing the burden of these adverse events while targeting specific areas like the social and school functioning . According to our results, patients with older age, longer disease duration, generalized seizures, high seizure frequency, and using old or combined AEDs regimen are the main risk factors for impaired HRQOL. Additional risk factors were reported by Nagarathnam et al.  who reported that education and polytherapy were significant predictors of poor QOL. Generally speaking, treatment with AEDs may improves aspects of the patients’ lives associated with the concept of physical effects with better seizure control, which may lead to a long-term benefit in terms of educational qualifications as the patient become more regular at school attendance with lower days of absence. However, there are some aspects of the patients’ lives that are unlikely to be improved with current AED treatments, for example, self-esteem and stigma. These usually need an alternative interventional approach involving both the whole society as well as epileptic individuals. Raising public awareness toward epilepsy as long as application psychotherapy and psychoeducation to epileptic patientscan improve their outcome . In recent years, the goal of epilepsy treatment has been not only control of seizures but also improvement of QOL. However, special attention should be given for adolescence age group as adolescence is a transitional stage of physical and mental development and may have a great influence in the life stages of life.
| Conclusions|| |
Diminished QOL is a common feature of epilepsy. Epileptic patients had lower mean scores of all domains of QOL, especially those with older age, higher disease duration, generalized fits, high seizure frequency, and using old or combined antiepileptic regimen. The scope of management of epilepsy should include optimal seizure control and improvement of the HRQOL of the affected children.
Strengths and limitations of the study
This study has major strengths that include considering both adolescents and parents as raters, including different seizures types, and studying various variables influencing the QOL issues including AEDs adverse effects. The study had some limitations. The number of patients was small, as it is applied in a single center. We did not compare QOL of epileptic adolescents with those of healthy age-matched controls, as we have used disease-specific questionnaire that could not be applied to healthy individuals.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Hoare P, Russell M. The quality of life of children with chronic epilepsy and their families: preliminary findings with a new assessment measure. Dev Med Chil Neurol 1995; 37:689–696.
Camfield C, Breau L, Camfield P. Impact of pediatric epilepsy on the family: a new scale for clinical and research use. Epilepsia 2001; 42:104–112.
de Souza Maia Filho HS, Streiner DL, da Mota Gomes M. Quality of life among Brazilian children with epilepsy: validation of a parent proxy instrument (QVCE-50). Seizure 2007; 16:324–329.
Collins S. The psychosocial effect of epilepsy on adolescents and young adults. Nursing Standard 2011; 25:48–56.
Landgraf JL, Abetz L, Ware JE. Child health questionnaire (CHQ): user’s manual. Boston, MA: The Health Institute, New England Medical Center; 1996.
Ravens-Sieberer U, Gosch A, Rajmil L, Erhart M, Bruil J, Duer W et al.
KIDSC-REEN-52 quality-of-life measure for children and adolescents. Expert Rev Pharmacoecon Outcomes Res 2005; 5:353–364.
Ravens-Sieberer U, Auquier P, Erhart M, Gosch A, Rajmil L, Bruil J et al.
The KIDSCREEN-27 quality of life measure for children and adolescents: psycho-metric results ual. Life Res 2007; 16:1347–1356.
Mona SM, Samia RH, Amany MR. Health status and quality of life in children and adolescents. Egypt J Neurol Psychiat Neurosurg 2010; 47:83–92.
Monir M, Alameeya R, Eltahlawyb E. Health related quality of life of children with epilepsy in Egypt. J Arab Soc Med Res 2013; 8:53–66. [Full text]
El-Gilany A, El Wehedy A, El Wasify M. Updating and validation of the socioeconomic status scale for health research in Egypt. East Mediterr Health J 2012; 18:962–968.
Cramer JA, Westbrook L, Devinsky O, Perrine K, Glassman MB, Camfield C. Development of the quality of life in epilepsy inventory for adolescents: the QOLIE-AD-48. Epilepsia 1999; 40:1114–1121.
Stevanovic D, Lozanovic-Miladinovic D, Jovic N, Sarenac M. The Serbian QOLIE-AD-48: Translation, cultural adaptation, and preliminary psychometric evaluation. Epilepsy Behav 2005;240–245.
Morita DA, Glauser TA, Modi AC. Development and validation of the Pediatric Epilepsy Side Effects Questionnaire. Neurology 2012; 79:1252–1258.
Cianchetti C, Messina P, Pupillo E, Crichiutti G, Bagilietto MG, Veggiotti P et al.
The perceived burden of epilepsy: impact on the quality of life of children and adolescents and their families. Seizure 2015; 24:93–101.
Christianson AL, Zwane ME, Manga P, Rosen E, Venter A, Kromberg JGR. Epilepsy in rural South African children — prevalence, associated disability and management. SAMJ 2000; 90:262–266.
Nadkarni J, Jain A, Dwivedi R. Quality of life in children with epilepsy. Ann Indian Acad Neurol 2011; 14:279–282
Stevanovic D. Health-related quality of life in adolescents with well-controlled epilepsy. Epilepsy Behav 2007; 10:571–575.
Gambhir SK, Kumar V, Singhi PD, Goel RC. Public awareness, understanding and attitudes towards epilepsy. Indian J Med Res 1995; 102:34–38.
Iqbal M, Amirsalari S, Radfar S. Effects of parental gender and level of education on the quality of life and general health of pediatric patients with epilepsy: an outpatient cross-sectional survey. Epilepsy Behav 2016; 60:118–123.
Aggarwal A, Datta V, Thakur L. Quality of life in children with epilepsy. Indian Pediatr 2011; 48:893–896.
Adla N, Gade A, Puchchakayala G, Bhava S, Kagitapu S, Sowjanya M, Nune A. Assessment of health related quality of life in children with epilepsy using quality of life in childhood epilepsy questionnaire (Qolce-55) in tertiary care hospital. J Basic Clin Pharma 2017; 8:74–77.
Siqueira NF, Oliveira FLBB, Siqueira JA, Souza EAPD. Quality of life in epilepsy: a study of Brazilian adolescents. PLoS ONE 2014; 9:e106879.
Viteva EI. Seizure frequency and severity: how really important are they for the quality of life of patients with refractory epilepsy. Ann Indian Acad Neurol 2014; 17:35–42.
] [Full text]
McLaughlin DP, Pachana NA, Mcfarland K. Stigma, seizure frequency and quality of life: the impact of epilepsy in late adulthood. Seizure 2008; 17:281–287.
Viteva EI, Zachariev ZI, Semerdzhieva MA. Validation of the Bulgarian version of the quality of life in epilepsy inventory (QOLIE-89). Folia Med (Plovdiv) 2010; 52:34–39.
Moffat C, Dorris L, Connor L, Espie C. The impact of childhood epilepsy on quality of life: a qualitative investigation using focus group methods to obtain children’s perspectives on living with epilepsy. Epilepsy Behav 2009; 14:179–189.
Wo SW, Ong LC, Low WY, Lai PSM. The impact of epilepsy on academic achievement in children with normal intelligence and without major comorbidities: a systematic review. Epilepsy Res 2017; 136:35–45.
Elliot I, Lach L, Smith M. I just want to be normal: a qualitative study exploring how children and adolescents view the impact of intractable epilepsy on their quality of life. Epilepsy Behav 2005; 7:664–678.
Velissaris S, Wilson S, Newton M. Cognitive complaints after a first seizure in adulthood: influence of psychological adjustment. Epilepsia 2009; 50:1012–1021.
Sample P, Ferguson P, Wagner J. Experiences of persons with epilepsy and their families as they look for medical and community care: a focus group study from South Carolina. Epilepsy Behav 2006; 9:649–662.
Haneef Z, Grant ML, Valencia I, Hobdell EF, Kothare SV, Legido A et al.
Correlation between child and parental perceptions of health-related quality of life in epilepsy using the PedsQL.v4.0 measurement model. Epileptic Disord 2010; 12:275–282.
Ronen GM, Streiner DL, Rosenbaum P. Canadian Pediatric Epilepsy Network. Health-related quality of life in children with epilepsy: development and validation of self-report and parent proxy measures. Epilepsia 2003; 44:598–612.
Verhey LH, Kulik DM, Ronen GM, Rosenbaum P, Lach L, Streiner DL. Canadian Pediatric Epilepsy Network. Quality of life in childhood epilepsy: what is the level of agreement between youth and their parents?. Epilepsy Behav 2009; 14:407–410.
Baca CB, Vickrey BG, Hays RD, Vassar SD, Berg AT. Differences in child versus parent reports of the child’s health related quality of life in children with epilepsy and healthy siblings. Value Health 2010; 13:778–786.
Barbosa FD, Guerreiro MM, de Souza EA. The Brazilian version of the quality of life in epilepsy inventory for adolescents: translation, validity, and reliability. Epilepsy Behav 2008; 13:218–222.
Benavente-Aguilar I, Morales-Blánquez C, Rubio EA, Rey JM. Quality of life of adolescents suffering from epilepsy living in the community. J Paediatr Child Health 2004; 40:110–113.
Modi AC, Ingerski LM, Rausch JR, Glauser TA. Treatment factors affecting longitudinal quality of life in new onset pediatric epilepsy. J Pediatr Psychol 2011; 36:466–475.
Bishop M, Allen C. The impact of epilepsy on quality of life: a qualitative analysis. Epilepsy Behav 2003; 4:226–233.
Velissaris S, Wilson S, Saling M. The psychological impact of a newly diagnosed seizure: losing and restoring perceived control. Epilepsy Behav 2007; 10:223–233.
Jovanovic M, Jocic-Jakubi B, Stevanovic D. Adverse effects of antiepileptic drugs and quality of life in pediatric epilepsy. Neurol India 2015; 63:353–359.
] [Full text]
Nagarathnam M, Shalini B, Vijayalakshmi V, Vengamma B, Latheef SAA. Predictors of quality of life among adolescents with epilepsy in the state of Andhra Pradesh. Neurol India 2017; 65:1019–1024.
] [Full text]
Kerr C, Nixon A, Angalakuditi M. The impact of epilepsy on children and adult patients’ lives: Development of a conceptual model from qualitative literature. Seizure 2011; 20:764–774.
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6]