Using Best-Worst Scaling to Measure Caregiver Preferences for Managing their Child's ADHD: A Pilot Study

Management of attention-deficit/hyperactivity disorder (ADHD) is a trade-off between caregivers' concerns about the benefits versus the risks of evidence-based treatment. Few studies have used choice-based methods to assess what treatment attributes matter most to caregivers.

The aim was to develop and to pilot an instrument to elicit caregivers' preferences for evidence-based management of their child's ADHD.

Mixed methods were used to develop a Best-Worst Scaling (BWS) instrument, and quantitative methods were used to pilot the instrument. Primary caregivers of children with ADHD from two community organizations were recruited for the development (n = 21) and pilot (n = 37) phase. The instrument was a BWS case 2, where 18 management profiles are presented one at a time, with respondents indicating the one best and one worst feature of each profile. Profiles were developed using a main effects orthogonal array. The mean of best-minus-worse scores was estimated, and attribute importance was based on the sum of maximum minus minimum scores for each attribute. Feasibility of eliciting stated preferences was evaluated with t tests and 95 % confidence intervals.

Seven attributes (medication, therapy, school, caregiver training, provider specialty, provider communication, and out-of-pocket costs) with three levels each were identified. All mean scores were significant except for pediatrician management of the child's ADHD (p = 0.089). Caregiver training had the highest relative importance, followed by medication and provider communication.

The BWS instrument was a relatively simple measure, caregivers completed it independently, and it distinguished the relative importance of different attributes in managing a child's ADHD.