Melissa Ross1, John F P Bridges, Xinyi Ng, Lauren D Wagner, Emily Frosch, Gloria Reeves, Susan dosReis. 1. Ms. Ross, Ms. Ng, Dr. Wagner, and Dr. dosReis are with the Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore. Dr. Bridges is with the Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore. Dr. Frosch is with the Division of Child and Adolescent Psychiatry, Johns Hopkins University School of Medicine, Baltimore. Dr. Reeves is with the Department of Psychiatry, University of Maryland School of Medicine, Baltimore. Send correspondence to Dr. dosReis (e-mail: sdosreis@rx.umaryland.edu ).
Abstract
OBJECTIVE: The objective of this feasibility study was to develop and pilot an instrument to elicit caregivers' priorities when initiating attention-deficit hyperactivity disorder (ADHD) medication for their child. METHODS: A best-worst scaling experiment was used to rank competing priorities when initiating ADHD medicine. Forty-six participants were recruited for a two-phase study involving survey development (phase 1, N=21) and the survey pilot (phase 2, N=25). Best-worst scores and 95% confidence intervals indicating the relative importance of 16 concerns were determined, and t tests were used to determine the scores' significance. RESULTS: The significance of best-worst scores for most concerns indicated that the choices were purposeful. Concerns about helping the child become a successful adult, having a doctor who addresses caregivers' concerns, and improving school behavior were ranked highest. CONCLUSIONS: The best-worst scaling method can elicit priorities for children's mental health treatment. Future work using this method will guide family-centered care.
OBJECTIVE: The objective of this feasibility study was to develop and pilot an instrument to elicit caregivers' priorities when initiating attention-deficit hyperactivity disorder (ADHD) medication for their child. METHODS: A best-worst scaling experiment was used to rank competing priorities when initiating ADHD medicine. Forty-six participants were recruited for a two-phase study involving survey development (phase 1, N=21) and the survey pilot (phase 2, N=25). Best-worst scores and 95% confidence intervals indicating the relative importance of 16 concerns were determined, and t tests were used to determine the scores' significance. RESULTS: The significance of best-worst scores for most concerns indicated that the choices were purposeful. Concerns about helping the child become a successful adult, having a doctor who addresses caregivers' concerns, and improving school behavior were ranked highest. CONCLUSIONS: The best-worst scaling method can elicit priorities for children's mental health treatment. Future work using this method will guide family-centered care.
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