UMB Data Catalog

A project of the Health Sciences and Human Services Library
Find Datasets from
UMB Researchers
Include your dataset
of 1 Next >
Results Found: 1

  • Best-Worst Scaling to Prioritize Outcomes Meaningful to Caregivers of Youth with Mental Health Multimorbidities: A Pilot Study
    UMB Dataset

    Authors
    Susan dosReis
    Wendy Castillo Camelo
    Melissa M. Ross
    Saad Tariq
    Description

    This pilot study tested the use of a best-worst scaling (BWS) instrument to aid caregivers of a child with mental health comorbidities in clarifying preferences for treatment outcomes. BWS methodology closely approximates real-life decision-making by requiring the selection of one “most important” and one “least important” among a group of competing attributes. 38 caregivers were recruited from support groups in Maryland from March through July of 2015. Criteria for participation were a) their child was 21 years or younger, b) was diagnosed with a developmental delay related to cognitive or emotional disability and, c) with a comorbid mental illness (i.e. ADHD, depression, anxiety, etc.). Subsequent to survey completion, the caregivers took part in one of 6 debriefing sessions to determine the ease of comprehension, relevance of the concepts, distinctiveness of the statements, and clarity of language. The dataset includes family demographics, child characteristics (diagnoses, type of treatment, etc.), session transcripts, and statistics associated with the caregiver responses to the attributes included in the BWS instrument.

    Subject
    Caregivers
    Comorbidity
    Decision Making
    Developmental Disabilities
    Geographic Coverage
    Maryland
    Timeframe
    2015

Filter by

Subject Domain
Geographic Coverage
Access Restrictions
Timeframe