Optimizing behavioral health interventions with single-case designs: from development to dissemination

Dallery, Jesse; Raiff, Bethany R.

doi:10.1007/s13142-014-0258-z

Cited by 70 publications

(64 citation statements)

References 79 publications

(121 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Small single case or case series studies can be used to evaluate dose, safety, tolerability, and impact of introduction of new treatment components (Dallery & Raiff, 2014; Kazdin, 1982). The more rigorous adaptive designs provide the methodology for determining the impact of serial introduction of multiple treatment components (Lei, Nahum-Shani, Lynch, Oslin, & Murphy, 2012).…”

Section: The Orbit Model For Behavioral Treatment Developmentmentioning

confidence: 99%

From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases.

et al. 2015

View full text Add to dashboard Cite

Objective Given the critical role of behavior in preventing and treating chronic diseases, it is important to accelerate the development of behavioral treatments that can improve chronic disease prevention and outcomes. Findings from basic behavioral and social science research hold great promise for addressing behaviorally-based clinical health problems, yet there is currently no established pathway for translating fundamental behavioral science discoveries into health-related treatments ready for Phase III efficacy testing. This article provides a systematic framework for guiding efforts to translate basic behavioral science findings into behavioral treatments for preventing and treating chronic illness. Methods The ORBIT model for behavioral treatment development is described as involving a flexible and progressive process, pre-specified clinically significant milestones for forward movement, and return to earlier stages for refinement and optimization. Results This article presents the background and rationale for the ORBIT model, a summary of key questions for each phase, a selection of study designs and methodologies well-suited to answering these questions, and pre-specified milestones for forward or backward movement across phases. Conclusions The ORBIT model provides a progressive, clinically-relevant approach to increasing the number of evidence-based behavioral treatments available to prevent and treat chronic diseases.

show abstract

Section: The Orbit Model For Behavioral Treatment Developmentmentioning

confidence: 99%

From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases.

et al. 2015

View full text Add to dashboard Cite

show abstract

“…An additional advantage of technology is that it facilitates the use of research designs that focus on changing an individual's behavior over time (Dallery et al 2013a; Dallery and Raiff 2014). For example, single-case research designs require frequent assessment of health behavior, which is more feasible with technology than traditional, in-person methods.…”

Section: Technology-based Interventions To Promote Healthmentioning

confidence: 99%

A New Frontier: Integrating Behavioral and Digital Technology to Promote Health Behavior

2014

Self Cite

View full text Add to dashboard Cite

Modifiable behavioral risk factors such as cigarette smoking, physical inactivity, and obesity contribute to over 40 % of premature deaths in the USA. Advances in digital and information technology are creating unprecedented opportunities for behavior analysts to assess and modify these risk factors. Technological advances include mobile devices, wearable sensors, biomarker detectors, and real-time access to therapeutic support via information technology. Integrating these advances with behavioral technology in the form of conceptually systematic principles and procedures could usher in a new generation of effective and scalable behavioral interventions targeting health behavior. In this selective review of the literature, we discuss how technological tools can assess and modify a range of antecedents and consequences of healthy and unhealthy behavior. We also describe practical, methodological, and conceptual advantages for behavior analysts that stem from the use of technology to assess and treat health behavior.

show abstract

“…MOST studies can be conducted using a range of experimental designs, including factorial and fractional factorial experiments [4,7], SMART trials [30,35], microrandomized trials [26,31], system ID experiments [17], and single-case experimental designs [11,12,27]. Many of these designs are useful for testing BCTs, and, as we argue later in the paper, some of them (factorial designs, single-case experiments) are very well suited for HCI BCT evaluations.…”

Section: Related Workmentioning

confidence: 99%

“…Single-case experimental designs [11,12] provide a different methodology for causal inference by systematically varying when participants have access to an intervention. For instance, after a week of baseline, participants in a walking study might be sent step goals for a week, after which the goals would be withdrawn for another week (often called an A/B/A or reversal design).…”

Section: Toward Usable Evidencementioning

confidence: 99%

Toward Usable Evidence

Klasnja

Hekler

Korinek

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

Over the last ten years, HCI researchers have introduced a range of novel ways to support health behavior change, from glanceable displays to sophisticated game dynamics. Yet, this research has not had as much impact as its originality warrants. A key reason for this is that common forms of evaluation used in HCI make it difficult to effectively accumulate—and use—knowledge across research projects. This paper proposes a strategy for HCI research on behavior change that retains the field's focus on novel technical contributions while enabling accumulation of evidence that can increase impact of individual research projects both in HCI and the broader behavior-change science. The core of this strategy is an emphasis on the discovery of causal effects of individual components of behavior-change technologies and the precise ways in which those effects vary with individual differences, design choices, and contexts in which those technologies are used.

show abstract

Optimizing behavioral health interventions with single-case designs: from development to dissemination

Cited by 70 publications

References 79 publications

From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases.

From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases.

A New Frontier: Integrating Behavioral and Digital Technology to Promote Health Behavior

Toward Usable Evidence

Contact Info

Product

Resources

About