Key predictors of the need for a family-focused pediatric epilepsy adherence intervention

Dana M Bakula1, Katherine W Junger2, Shanna M Guilfoyle2

  • 1Division of Developmental and Behavioral Pediatrics, Children's Mercy Hospital, Kansas City, Missouri, USA.

Epilepsia
|May 21, 2022
PubMed

Insights

Identifying families needing adherence support for pediatric epilepsy is crucial. Lower socioeconomic status, being a child of color, poor family functioning, and parental distress predict suboptimal adherence to antiseizure drugs.

Area of Science:

  • Pediatric Neurology
  • Health Services Research
  • Family Medicine

Background:

  • Nonadherence to antiseizure drugs (ASDs) is a significant issue in pediatric epilepsy.
  • It leads to poor health outcomes, medication instability, and increased healthcare costs.
  • Family interventions can improve adherence, but identifying at-risk families is challenging.

Purpose of the Study:

  • To identify parent, family, child, and medical factors predicting which families require family-based adherence interventions for pediatric epilepsy.
  • To inform targeted support strategies for improving medication adherence.

Main Methods:

  • Families in a randomized trial of a family-based adherence intervention completed assessments.
  • Electronic monitoring tracked medication adherence (≥95% considered high).
  • Stepwise logistic regression analyzed predictors of suboptimal adherence (<95%).

Main Results:

  • Of 177 families, 32% had suboptimal adherence.
  • Lower socioeconomic status (SES), children of color, lower general family functioning, and higher parental distress predicted suboptimal adherence.
  • Parental and family factors, along with sociodemographic characteristics, were key predictors.

Conclusions:

  • Parental distress, family functioning, SES, and race/ethnicity are critical predictors of suboptimal adherence in pediatric epilepsy.
  • Streamlined screening for these factors is needed.
  • Families of lower SES and communities of color require targeted support to mitigate adherence risks.
Abstract

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