A Latent Class Analysis to Identify Variation in C

Authors: Xinyi Ng John F P Bridges Melissa M Ross Emily Frosch Gloria Reeves Charles E Cunningham Susan dosReis

Publish Date: 2016/10/31

Volume: 10, Issue: 2, Pages: 251-262

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Abstract

Caregivers of a child aged 4–14 years and in care for ADHD were recruited from pediatric outpatient clinics and advocacy groups across the state of Maryland Participants completed a survey collecting demographics the child’s treatment and caregiver preferences—elicited using a bestworst scaling experiment case 2 Latent class analysis was used to identify distinct preference segments and bivariate analyses were used to compare the association between segment membership with what the child was currently receiving for their ADHDParticipants n = 184 were predominantly White 68 and the child’s mother 84 Most children had ADHD for 2 or more years 79 Caregiver preferences were distinguished by two segments continuous medication 36 and minimal medication 64 The two groups had very different preferences for when medication was administered p  0001 but they had similar preferences for provideroriented and nonmedication interventions p 005 for the caregiver behavior training provider communication provider specialty and outofpocket costs One third of the sample did not receive the preferred individualized education program and 42 of the minimal medication group reported using medication 7 days a week all year roundAlthough behavior management training and school accommodations aspects of an ADHD care plan are more important to caregivers than evidencebased medication fewer families had access to educational accommodations Further research is needed to clarify how stated preferences for care align with treatments used in actual practice settingsMs Xinyi Ng coordinated the study collected analyzed and interpreted the data and wrote this manuscript Dr Susan dosReis conceptualized the study collected research data interpreted the research results and edited the manuscript Dr John Bridges assisted with the conceptualization of the study the development of the attributes created the bestworst scaling instrument design interpreted the research results and edited the manuscript Ms Melissa Ross assisted with data collection interpreted the research results and reviewed the manuscript Dr Charles E Cunningham assisted with the identification of the attributes conceptualized the study design and reviewed the manuscript Drs Gloria Reeves and Emily Frosch contributed to the conceptualization of the study provided clinical implications to the study findings and edited the manuscriptThis study was funded by a grant from the National Institute of Mental Health R34MH093502 PI dosReis Charles E Cunningham’s participation was supported by the Jack Laidlaw Chair in PatientCentered Health Care Charles E Cunningham receives royalties from workshops and materials for COPE a large community parent education program He is a shareholder and receives salary support from BCFPI Inc which provides screening and outcome measures for children and youth

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