A Best-Worst Scaling Experiment to Prioritize Caregiver Concerns About ADHD Medication for Children

IntroductionBest–worst scaling (BWS) is becoming increasingly popular to elicit preferences in health care. However, little is known about current practice and trends in the use of BWS in health care. This study aimed to identify, review and critically appraise BWS in health care, and to identify trends over time in key aspects of BWS.MethodsA systematic review was conducted, using Medline (via Pubmed) and EMBASE to identify all English-language BWS studies published up until April 2016. Using a predefined extraction form, two reviewers independently selected articles and critically appraised the study quality, using the Purpose, Respondents, Explanation, Findings, Significance (PREFS) checklist. Trends over time periods (≤2010, 2011, 2012, 2013, 2014 and 2015) were assessed further.ResultsA total of 62 BWS studies were identified, of which 26 were BWS object case studies, 29 were BWS profile case studies and seven were BWS multi-profile case studies. About two thirds of the studies were performed in the last 2 years. Decreasing sample sizes and decreasing numbers of factors in BWS object case studies, as well as use of less complicated analytical methods, were observed in recent studies. The quality of the BWS studies was generally acceptable according to the PREFS checklist, except that most studies did not indicate whether the responders were similar to the non-responders.ConclusionUse of BWS object case and BWS profile case has drastically increased in health care, especially in the last 2 years. In contrast with previous discrete-choice experiment reviews, there is increasing use of less sophisticated analytical methods.Electronic supplementary materialThe online version of this article (doi:10.1007/s40273-016-0429-5) contains supplementary material, which is available to authorized users.

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“…[50]USA201511916166101103 Ross et al. [51]USA20152516166101114 Wittenberg et al. [52]USA20153011115101NANA2 Yan et al.…”

Section: Resultsmentioning

confidence: 99%

Using Best–Worst Scaling to Investigate Preferences in Health Care

et al. 2016

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“…In a BWS survey instrument, attributes are presented in subsets that are chosen based on a balanced incomplete block design (Ross et al 2015) to ensure equal probability of selection for each attribute. The respondent is asked to select the most relevant or favorable (the Bbest^) and the least relevant or favorable (the Bworst^) attribute among each subset.…”

Section: Methodsmentioning

confidence: 99%

Prioritizing Parental Worry Associated with Duchenne Muscular Dystrophy Using Best‐Worst Scaling

Peay

Hollin

Bridges

2015

Journal of Genetic Counseling

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Duchenne muscular dystrophy (DMD) is a progressive, fatal pediatric disorder with significant burden on parents. Assessing disease impact can inform clinical interventions. Best-worst scaling (BWS) was used to elicit parental priorities among 16 short-term, DMD-related worries identified through community engagement. Respondents viewed 16 subsets of worries, identified using a balanced, incomplete block design, and identified the most and least worrying items. Priorities were assessed using best-worst scores (spanning +1 to -1) representing the relative number of times items were endorsed as most and least worrying. Independent-sample t-tests compared prioritization of parents with ambulatory and non-ambulatory children. Participants (n = 119) most prioritized worries about weakness progression (BW score = 0.64) and getting the right care over time (BW = 0.25). Compared to parents of non-ambulatory children, parents of ambulatory children more highly prioritized missing treatments (BW = 0.31 vs. 0.13, p < 0.001) and being a good enough parent (BW = 0.06 vs. -0.08, p = 0.010), and less prioritized child feeling like a burden (BW = -0.24 vs. -0.07, p < 0.001). Regardless of child's disease stage, caregiver interventions should address the emotional impact of caring for a child with a progressive, fatal disease. We demonstrate an accessible, clinically-relevant approach to prioritize disease impact using BWS, which offers an alternative to the use of traditional rating/ranking scales.

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“…Researchers have conducted a series of studies that have used this innovative approach to investigate the best way to provide information to parents of children with mental health problems (Cunningham et al 2009), determine the preferences of parents seeking services in a mental health clinic (Cunningham et al 2008;Cunningham et al 2013), and identify the preferences of teachers with respect to bullying prevention efforts in schools (Cunningham et al 2009) or parents regarding treatments for attention-deficit/hyperactivity disorder (Ross et al 2015;Schatz et al 2015). These studies illustrate the utility of this approach for learning about the various preferences of consumers overall as well as within sub-populations, which directly inform the development of palatable, preferable, and useful intervention approaches.…”

Section: Individual Difference Considerations In Intervention Developmentioning

confidence: 99%

Parental Preferences for Early Intervention Programming Examined Using Best–Worst Scaling Methodology

Fabiano

Schatz

Jerome

2016

Child Youth Care Forum

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A Best-Worst Scaling Experiment to Prioritize Caregiver Concerns About ADHD Medication for Children

Cited by 24 publications

References 17 publications

Using Best–Worst Scaling to Investigate Preferences in Health Care

Using Best–Worst Scaling to Investigate Preferences in Health Care

Prioritizing Parental Worry Associated with Duchenne Muscular Dystrophy Using Best‐Worst Scaling

Parental Preferences for Early Intervention Programming Examined Using Best–Worst Scaling Methodology

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