MedPath

Epilepsy Adherence in Children and Technology (eACT)

Not Applicable
Completed
Conditions
Epilepsy
Interventions
Behavioral: Education microlearning sessions
Behavioral: Automated digital reminders
Behavioral: Problem-solving mHealth module
Behavioral: Individualized Adherence Feedback Report
Registration Number
NCT03817229
Lead Sponsor
Children's Hospital Medical Center, Cincinnati
Brief Summary

Fifty-eight percent of children with new-onset epilepsy do not take their antiepileptic drugs (AEDs) as prescribed, which is associated with continued seizures, mortality, poor quality of life, and high healthcare costs. Evidence-based adherence interventions are lacking and critically needed, especially for children with epilepsy, who represent an underserved population in pediatrics. The current proposal is a mHealth sequential, multiple assignment, randomized trial (SMART) focused on providing education, automated digital reminders, and individualized adherence feedback, as well as teaching problem-solving skills, with the goal of improving adherence and quality of life and decreasing seizures and health care utilization.

Detailed Description

Non-adherence to antiepileptic drugs (AEDs) is a common problem (i.e., 58% of patients have some level of non-adherence) for young children with newly diagnosed epilepsy, with potentially devastating consequences. AED non-adherence is associated with a 3-fold increased risk of seizures, poor quality of life, inaccurate clinical decision-making, and higher health care utilization and costs. One of the primary barriers to adherence is forgetting, which may be particularly amenable to mHealth (mobile technology in healthcare) interventions. Despite the critical need to develop and implement interventions to improve adherence, there are few family-based interventions for young children with epilepsy and their families. One existing intervention is highly promising; however, this intervention requires six in-person sessions, which can be impossible for families who lack routine access to tertiary specialty care due to time, financial, or transportation constraints. Thus, unmet medical and psychosocial needs of the underserved pediatric epilepsy population are perpetuated and compounded by limited access to this state of the art care. The overall goal is to test a mHealth adherence intervention that is easily accessible using a stepped up care model based on individual needs. This stepped up care model will conserve patient, family, and provider time, costs and resources. The aim of this multi-site R01 is to conduct a two-stage, sequential, multiple assignment, randomized trial (SMART) to evaluate the effectiveness of mHealth intervention strategies for improving AED adherence in caregivers of young children with epilepsy. A two-month baseline period will be followed by two stages. In Stage 1 (3-months long), non-adherent caregivers (\< 95%) will be randomized to a mHealth education module and automated digital reminders (control) or the mHealth education module, automated digital reminders, and individualized adherence feedback based on real-time adherence monitoring (treatment) to address the primary barrier of forgetting. At the beginning of Stage 2 (two months long), caregivers randomized to treatment who do not achieve adherence \> 95% (response) by the end of Stage 1 will be re-randomized to either continued individualized adherence feedback or individualized adherence feedback augmented with two mHealth problem-solving modules (translated from the PIs existing RCTs) with a therapist. Thus, there are three intervention strategies embedded in this SMART: #1 control, #2 treatment, and #3 problem-solving augmented treatment if nonresponsive at three months. The primary outcome is electronically-monitored adherence and secondary outcomes include seizure severity/frequency, quality of life, and healthcare utilization. If the aims of the project are achieved, this study would have a large impact on pediatric epilepsy, with the potential to change clinical practice for treating non-adherence. The SMART design would allow the investigators to identify patients who are most likely to respond to interventions and step up care with more time- and resource-intensive interventions (i.e., problem-solving with a therapist via the web), when necessary.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
466
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Treatment GroupIndividualized Adherence Feedback ReportmHealth education module, automated digital reminders, and individualized adherence feedback (stage 1 SMART). After three months of intervention, the treatment group will be evaluated for responsiveness (\> 95%) based on the 30-day adherence outcome (stage 2 SMART). If participants in the treatment group demonstrate adherence \> 95%, they will continue with the treatment arm of receiving automated digital reminders and individualized adherence feedback. If they are deemed to be non-responsive (adherence \< 95%), they will be re-randomized to either: 1) continued automated digital reminders and individualized adherence feedback or 2) a mHealth problem solving module with three therapist-guided problem-solving sessions.
Control GroupEducation microlearning sessionsmHealth education module and automated digital reminders
Control GroupAutomated digital remindersmHealth education module and automated digital reminders
Treatment GroupEducation microlearning sessionsmHealth education module, automated digital reminders, and individualized adherence feedback (stage 1 SMART). After three months of intervention, the treatment group will be evaluated for responsiveness (\> 95%) based on the 30-day adherence outcome (stage 2 SMART). If participants in the treatment group demonstrate adherence \> 95%, they will continue with the treatment arm of receiving automated digital reminders and individualized adherence feedback. If they are deemed to be non-responsive (adherence \< 95%), they will be re-randomized to either: 1) continued automated digital reminders and individualized adherence feedback or 2) a mHealth problem solving module with three therapist-guided problem-solving sessions.
Treatment GroupAutomated digital remindersmHealth education module, automated digital reminders, and individualized adherence feedback (stage 1 SMART). After three months of intervention, the treatment group will be evaluated for responsiveness (\> 95%) based on the 30-day adherence outcome (stage 2 SMART). If participants in the treatment group demonstrate adherence \> 95%, they will continue with the treatment arm of receiving automated digital reminders and individualized adherence feedback. If they are deemed to be non-responsive (adherence \< 95%), they will be re-randomized to either: 1) continued automated digital reminders and individualized adherence feedback or 2) a mHealth problem solving module with three therapist-guided problem-solving sessions.
Treatment GroupProblem-solving mHealth modulemHealth education module, automated digital reminders, and individualized adherence feedback (stage 1 SMART). After three months of intervention, the treatment group will be evaluated for responsiveness (\> 95%) based on the 30-day adherence outcome (stage 2 SMART). If participants in the treatment group demonstrate adherence \> 95%, they will continue with the treatment arm of receiving automated digital reminders and individualized adherence feedback. If they are deemed to be non-responsive (adherence \< 95%), they will be re-randomized to either: 1) continued automated digital reminders and individualized adherence feedback or 2) a mHealth problem solving module with three therapist-guided problem-solving sessions.
Primary Outcome Measures
NameTimeMethod
Adherence ratesMonth 20

Electronically monitored adherence, as measured by the Simplemed+ pillboxes or Adheretech bottles will be used as the primary outcome. Daily adherence will be used to calculate adherence over one month intervals throughout the study. Month 8 will serve as the post-treatment outcome while Month 14 and 20 will serve as the short and long-term outcomes.

Secondary Outcome Measures
NameTimeMethod
Healthcare utilization (the number of emergency room visits and hospitalizations)Months 8-20

Based on medical chart review and parent report, the total number of emergency room visits and hospitalizations will be counting from Months 8-20 of the study.

Change in seizure frequencyMonths 8-14

Change in seizure frequency will be measured via parent-report and medical chart review. Change in seizure frequency will be calculated based on the number of seizures experienced in months 8-14 of the study compared to the 6-month baseline seizure frequency data. Seizure freedom will be a dichotomous variable (yes or no) and based on whether any type of seizure was experienced by the participant in months 8-14.

PedsQL Epilepsy Module (health-related quality of life measure)Month 14

The Pediatric Quality of Life (PedsQL) Epilepsy Module is a 29-item epilepsy-specific HRQOL measure for youth with epilepsy between the ages of 2 and 18 years with excellent reliability and validity. A total of five different subscales comprise this measure, including Cognitive, Impact, Sleep, Executive Functioning, and Mood/Behavior. Parallel and developmentally appropriate forms exist for both youth and their caregiver, who record their answers using a 5-point Likert scale ranging from 0 = never a problem to 4 = almost always a problem. Scores range from 0-100, with higher scores representing better HRQOL. Internal consistency for the subscales range from 0.70 to 0.94.

Trial Locations

Locations (4)

Cincinnati Children's Hospital Medical Center

🇺🇸

Cincinnati, Ohio, United States

Nationwide Children's Hospital

🇺🇸

Columbus, Ohio, United States

Childrens Hospital of Orange County

🇺🇸

Orange, California, United States

Medical University of South Carolina

🇺🇸

Charleston, South Carolina, United States

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