Non-adherence to antiepileptic drug therapy is a significant problem for adolescents with epilepsy and has a critical impact on health and patient-reported outcomes. Evidence-based adherence interventions are lacking in this population and are critically needed. This proposal seeks to develop and evaluate a mHealth social norms adherence intervention for adolescents with epilepsy.

Non-adherence to antiepileptic drugs (AEDs) is a common problem (i.e., 58% of patients have some level of non-adherence) for youth with epilepsy, with potentially devastating consequences. Adolescents with epilepsy represent a particularly vulnerable group, given their increased independence, decreased parental supervision, higher risk for deficits in organization and memory, busy and changing schedules, low motivation, and increased susceptibility to peer influence. Existing adherence interventions in epilepsy are not designed to meet the unique challenges faced by adolescents, and there are no efficacious interventions for adolescents with epilepsy. Not surprisingly, without efficacious interventions, adherence worsens during adolescence, further increasing the risk of poor health outcomes during this developmental period. While reminder strategies (e.g., automated digital reminders) are effective for the most common adherence barriers of forgetting and busy schedules, they are likely to be ineffective in increasing motivation. Leveraging social norms comparison methods (i.e., feedback about someone else's behavior related to one's own behavior) offers an opportunity to capitalize on the increased importance of peer influence while simultaneously targeting the low motivation characteristic of adolescents. Recent data in adolescents indicates that social norms interventions have incremental value and improve health behaviors above and beyond standard feedback without peer comparisons. Consistent with the ORBIT model for behavioral intervention development, our aims are to: 1) develop a feasible, accessible, and acceptable mHealth social norms intervention for improving AED adherence in adolescents with epilepsy and 2) obtain preliminary efficacy data and effect sizes for a future clinical trial. We conducted a pilot RCT of an mHealth social norms intervention (ORBIT Phase II). Adolescents with epilepsy who demonstrate non-adherence (< 95% adherence based on PI's previous RCTs; 58% of sample) during baseline will be randomized to either 1) mHealth social norms (automated digital reminders, individualized adherence feedback, and social norms feedback) or 2) control (automated digital reminders and individualized adherence feedback). Both groups will receive active intervention for five months. Primary (i.e., electronically-monitored adherence) and secondary outcomes (i.e., seizure severity, HRQOL) will be assessed post-treatment and 3 months later, respectively. If successful, the results of this study would have a large impact on pediatric epilepsy, with the potential to change clinical practice for treating non-adherence by reducing common barriers to behavioral health care. Because minimal clinician time is required, our mHealth social norms intervention also has potential for sustainability and broad dissemination for epilepsy and other pediatric conditions

Inclusion Criteria:

• Ages 13-17
• Confirmed diagnosis of epilepsy
• Antiepileptic drug monotherapy
• Ability to read and speak English

Exclusion Criteria:

• No significant developmental delay (e.g., autism, moderate/severe developmental or intellectual disability) or comorbid medical diagnoses (e.g., diabetes)

This project will have psychosocial, adherence, demographic, and medical data for children with epilepsy. Deidentified data can be used for many secondary analyses. Prior to sharing, all data will be de-identified in a HIPAA-compliant fashion. Data sets will be carefully reviewed to make sure that information such as age and gender cannot be used to gather additional information that could potentially identify individual subjects. For example, only year of birth, rather than the full birth date, will be made available. All categorical demographic variables will be collapsed into categories large enough so that combinations of demographic categories for age, gender, geographic location, etc., will have 10 or more individuals in each cell. All modalities of data will be shared, including raw and aggregate data. Descriptors for all variables shared will be included to prevent misuse or confusion. Any analytical methods utilized to assess the data will be defined in shared formats.

12 months following completion of the study

PI will provide the information

9 months

We collected this data through medical chart review

Due to COVID-19, we recruited less participants than originally anticipated for the trial (n=104 versus n=138).