Susan dosReis1, Xinyi Ng2, Emily Frosch3, Gloria Reeves4, Charles Cunningham5, John F P Bridges6. 1. Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, 220 Arch Street, 12th Floor, Baltimore, MD, 21201, USA. sdosreis@rx.umaryland.edu. 2. Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, 220 Arch Street, 12th Floor, Baltimore, MD, 21201, USA. 3. Johns Hopkins University School of Medicine, Baltimore, MD, USA. 4. University of Maryland School of Medicine, Baltimore, MD, USA. 5. McMaster University, Hamilton, ON, Canada. 6. Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Abstract
BACKGROUND: 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. OBJECTIVE: The aim was to develop and to pilot an instrument to elicit caregivers' preferences for evidence-based management of their child's ADHD. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
BACKGROUND: 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. OBJECTIVE: The aim was to develop and to pilot an instrument to elicit caregivers' preferences for evidence-based management of their child's ADHD. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
Authors: Susan dosReis; Xinyi Ng; Emily Frosch; Gloria Reeves; Charles Cunningham; John F P Bridges Journal: Patient Date: 2015-10 Impact factor: 3.883
Authors: Nicole K Schatz; Gregory A Fabiano; Charles E Cunningham; Susan dosReis; Daniel A Waschbusch; Stephanie Jerome; Kellina Lupas; Karen L Morris Journal: Patient Date: 2015-12 Impact factor: 3.883
Authors: Daniel A Waschbusch; Charles E Cunningham; William E Pelham; Heather L Rimas; Andrew R Greiner; Elizabeth M Gnagy; James Waxmonsky; Gregory A Fabiano; Jessica A Robb; Lisa Burrows-Maclean; Mindy Scime; Martin T Hoffman Journal: J Clin Child Adolesc Psychol Date: 2011
Authors: Susan DosReis; Matthew P Mychailyszyn; Sara E Evans-Lacko; Alicia Beltran; Anne W Riley; Mary Anne Myers Journal: J Child Adolesc Psychopharmacol Date: 2009-08 Impact factor: 2.576
Authors: Susan Dosreis; Julie Magno Zito; Daniel J Safer; Karen L Soeken; John W Mitchell; Leslie C Ellwood Journal: J Dev Behav Pediatr Date: 2003-06 Impact factor: 2.225
Authors: Susan dosReis; Xinyi Ng; Emily Frosch; Gloria Reeves; Charles Cunningham; John F P Bridges Journal: Patient Date: 2015-10 Impact factor: 3.883
Authors: Nicole K Schatz; Gregory A Fabiano; Charles E Cunningham; Susan dosReis; Daniel A Waschbusch; Stephanie Jerome; Kellina Lupas; Karen L Morris Journal: Patient Date: 2015-12 Impact factor: 3.883
Authors: Xinyi Ng; John F P Bridges; Melissa M Ross; Emily Frosch; Gloria Reeves; Charles E Cunningham; Susan dosReis Journal: Patient Date: 2017-04 Impact factor: 3.883
Authors: Susan dosReis; Alex Park; Xinyi Ng; Emily Frosch; Gloria Reeves; Charles Cunningham; Ellen M Janssen; John F P Bridges Journal: J Child Adolesc Psychopharmacol Date: 2016-12-19 Impact factor: 2.576