Tailored medication adherence incentives for high-risk children with asthma: a pilot study

Abstract

Objective: While reminder-based electronic monitoring systems have shown promise in enhancing inhaled corticosteroid (ICS) adherence in select populations, more engaging strategies may be needed in families of children with high-risk asthma. This study assesses the acceptability and feasibility of gain-framed ICS adherence incentives in families of urban, minority children with frequent asthma hospitalization.

Methods: We enrolled children aged 5–11 years with multiple yearly asthma hospitalizations in a 2-month, mixed methods, ICS adherence incentive pilot study. All participants received inhaler sensors and a smartphone app to track ICS use. During month 1, families received daily adherence reminders and weekly feedback, and children earned up to $1/day for complete adherence. No reminders, feedback, or incentives were provided in month 2. We assessed feasibility and acceptability using caregiver surveys and semi-structured interviews and ICS adherence using electronic monitoring data.

Results: Of the 29 families approached, 20 enrolled (69%). Participants were primarily Black (95%), publicly insured (75%), and averaged 2.9 asthma hospitalizations in the prior year. Fifteen of the 16 caregivers (94%) surveyed at month 2 liked the idea of receiving adherence incentives. Mean adherence was significantly higher in month 1 compared with month 2 (80% vs. 33%, mean difference = 47%; 95% CI [33, 61], p < 0.001). Caregivers reported that their competing priorities often limited adherence, while incentives helped motivate child adherence.

Conclusions: ICS adherence incentives were acceptable and feasible in a high-risk cohort of children with asthma. Future studies should assess the efficacy of adherence incentives in enhancing ICS adherence in high-risk children.

Keywords:

• Pediatric asthma
• inhaled corticosteroid adherence
• mobile health
• health incentives
• behavioral economics

Declaration of interest

The authors report no conflict of interest.

Additional information

Funding

The project described was supported in part by Grant Number UL1TR001878 from the National Center for Advancing Translational Science and the Institute for Translational Medicine and Therapeutics’ (ITMAT). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Advancing Translational Science or the National Institutes of Health.