Refining Parent SMART: User feedback to optimize a multi-modal intervention.

ABSTRACT

INTRODUCTION: The continuing care period following residential substance use treatment is a time when adolescents are at especially high risk for relapse, yet few families engage in traditional office-based care. Parent SMART (Substance Misuse among Adolescents in Residential Treatment) is a multi-component continuing care intervention for parents that combines three digital health technologies - an "off the shelf" online parenting program, daily phone notifications, and an online parent networking forum - with support from a parent coach. The current study solicited both qualitative and quantitative user feedback about Parent SMART to ensure responsivity to user preferences, refinement, and continuous improvement of the intervention. METHODS: Exit interviews were conducted with 30 parents who received Parent SMART, which includes (1) a parent networking forum; (2) daily text messages reminders of skills, (3) an "off-the-shelf" online parenting program; and (4) in-person or telehealth parent coaching sessions. The study collected qualitative feedback using semi-structured interviews and obtained quantitative feedback via a series of ratings of each Parent SMART component on a 5-point Likert scale administered at each follow-up assessment. RESULTS: Quantitative feedback suggest that parents rated all four elements of Parent SMART as easy to use. Qualitative feedback revealed that parents valued several aspects of Parent SMART including the brevity and structure of the intervention elements, the reminders to use parenting skills, and the sense of social connectedness fostered by different components. Recommended refinements included a number of strategies to enhance personalization and ease of navigation. CONCLUSIONS: Parent feedback informed enhancements to the Parent SMART intervention prior to implementation in a larger, ongoing pragmatic effectiveness trial. The current study serves as a model for applying a staged person-centered approach and eliciting both quantitative and qualitative feedback to refine digital health technologies.