SUMMARYObjective: The aims of this study were to conduct a meta-analysis of risk factors for health-related quality of life (HRQL) in children with epilepsy; interpret the results in terms of study quality; and, assess the nature and source of heterogeneity of estimates. Methods: Databases were searched for studies that examined HRQL in pediatric epilepsy. The inclusion criteria were original studies published in English from 1994 through to the end of January 2014; children ≤18 years of age with epilepsy; included a parent-or self-reported measure of HRQL; and, data were presented such that the calculation of a correlation coefficient was possible. Study quality was measured using a modified Quality Index. Results: A total of 12 risk factors from 21 studies were analyzed. The mean Quality Index score was 10.4 (standard deviation [SD] 1.9). Correlations between risk factors and HRQL had a minimum of r = À0.03 and a maximum of r = À0.44. Child sex, age, and age at onset were not significantly associated with HRQL. Duration of epilepsy, seizure type, frequency, and severity, number of antiepileptic drugs, side effects of antiepileptic drugs, presence of a comorbidity, parental anxiety, and family socioeconomic status were significantly associated with HRQL. Informant (child vs. parent), year of publication, and study quality were found to be sources of heterogeneity for certain risk factors. Significance: Results demonstrated that a variety of clinical and family factors are associated with HRQL in children with epilepsy and have implications for research and practice. Future research should focus on longitudinal studies to identify predictors of HRQL that are amenable to intervention and should evaluate whether changes in these predictors result in more favorable HRQL in children with epilepsy. KEY WORDS: Child, Epilepsy, Meta-analysis, Quality of life, Risk factors, Statistical models, Study quality.The study of risk factors is a central component in the prediction, prevention, and intervention of health outcomes.
1Risk factors are associated with an increased probability of an outcome and can be used to stratify individuals in a population based on their level of risk (e.g., high vs. low risk subgroups). As a result, they can inform the development of prevention and intervention strategies aimed at improving the health of individuals and populations.2 However, when risk factors are unknown or the nature of their associations with the outcome is not causal, strategies to improve health will likely be ineffective. Likewise, if the strength of the risk factor is low, interventions targeting the risk factor may be of little practical or clinical significance to patients, their families, and the health care system. This is particularly true in pervasive, multifaceted chronic conditions affecting children, including epilepsy, where effective medical management is needed to not only adequately control seizures while and is an accepted patient-reported outcome used by health regulatory agencies in the approval process ...