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Adherence to treatment in children with epilepsy: who follows "doctor's orders"?

W G Mitchell1, L M Scheier, S A Baker

  • 1Department of Neurology, Keck School of Medicine, University of Southern California and Childrens Hospital, Los Angeles, California, USA. wmitchell@chla.usc.edu

Epilepsia
|December 13, 2000
PubMed

Insights

Sociocultural factors like acculturative risk and life events positively predict treatment adherence in children with epilepsy, contrary to expectations. Seizure severity did not impact adherence, and adherence measures were independent.

Area of Science:

  • Pediatric Neurology
  • Epilepsy Management
  • Treatment Adherence Research

Background:

  • Epilepsy affects children, requiring consistent treatment adherence for optimal outcomes.
  • Understanding factors influencing adherence is crucial for effective pediatric epilepsy care.

Purpose of the Study:

  • To investigate how sociocultural, medical, family, and cognitive factors predict treatment adherence in children with epilepsy.
  • To identify key predictors of visit adherence, medication reporting, and medication levels.

Main Methods:

  • Longitudinal study of children (4-13 years) with epilepsy.
  • Assessed baseline predictors: acculturative risk, seizure severity, behavior problems, family environment, IQ, and life events.
  • Used confirmatory factor analysis and structural equation modeling to analyze adherence outcomes.

Main Results:

  • Higher acculturative risk and more life events were linked to greater visit adherence and medication levels.
  • Behavior problems negatively impacted adherence and medication levels.
  • Family environment negatively affected medication reporting; IQ positively influenced medication levels.
  • Seizure severity showed no significant association with adherence.

Conclusions:

  • Sociocultural factors and life events positively influence adherence, challenging clinical assumptions.
  • Seizure severity is not a predictor of adherence in this population.
  • Adherence measures (visits, medication report, levels) are statistically independent.
Abstract

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