A strategy for optimizing and evaluating behavioral interventions

By Linda M. Collins, Susan A. Murphy, Vijay N. Nair, Victor J. Strecher. Annals of Behavioral Medicine, 2005

461 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, General Health Professions, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b861e9ba8e9968c755064167968eeb3116362c8d

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In Developmental and Educational Psychology

In General Health Professions

In Statistics and Probability

Citations in the corpus

Designing a Pilot Sequential Multiple Assignment Randomized Trial for Developing an Adaptive Treatment Strategy (2012, unknown): “Following the lead of a diverse set of researchers, statisticians, and methodologists [31–36], we define a pilot study as a small-scale version of the larger study with the aim of fine-tuning the study design, evaluating its feasibility and acceptability, and preparing the research team for a future”
Understanding tailoring in communicating about health. (2008, methodology): “Given the potential complexity of possible multiple conditions and higher order interactions among them, it will probably be fruitful to control this complexity through techniques such as multiphase optimization strategies and fractional factorial designs [43].”
School‐based prevention: current status and future challenges (2010, methodology): “This might include dismantling designs and factorial designs (Collins, Murphy, Nair, & Strecher, 2005 ).”
Bringing parenting interventions back to the future: How randomized microtrials may benefit parenting intervention efficacy (2015, unknown): “Established experimental designs to compare the efﬁcacy of different intervention elements, such as factorial designs (Collins et al., 2005), can test both the discrete and synergistic effects of intervention elements.”
Developing adaptive treatment strategies in substance abuse research. (2007, methodology): “One way to address this challenge is to imbed the SMART experimental design into the MOST paradigm (Collins et al., 2005).”
The impact of enhancing students' social and emotional learning: a meta-analysis of school-based universal interventions. (2011, background): “…and theoretical purposes, research designs that examine the relative contribution of different intervention components can help to determine which speciﬁc skills or combinations of skills lead to different outcomes at different developmental periods (Collins, Murphy, Nair, & Strecher, 2005).”
Dynamic treatment regimes (2009, methodology): “As discussed in Murphy et al. (2007), another approach is to use the MOST paradigm developed in Collins et al. (2005).”
Harnessing Context Sensing to Develop a Mobile Intervention for Depression (2011, background): “Many of these would easily translate to Mobilyze!.”
Using Indices of Fidelity to Intervention Core Components to Identify Program Active Ingredients (2015, background): “First, it can inform refinements to an intervention to help strengthen its effectiveness (Collins et al., 2005) and provide guidance to practitioners and support staff (e.g., coaches) on what to prioritize to get the most leverage from the program.”
Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop (2017, methodology): “Theories, models, and methods to support this approach can be found in systems engineering and related sectors, for example, control theory [8], use of factorial or fractionated evaluation designs [9], and system optimization strategies [10] (please refer to [2] and Multimedia Appendix 2 for more de”
Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. (2015, methodology): “Since intervention options are randomly assigned at each decision point, a study lasting several weeks or several months may randomize each person hundreds or thousands of times, depending on the frequency at which intervention components being investigated are delivered.”
Design of Experiments with Multiple Independent Variables: A Resource Management Perspective on Complete and Reduced Factorial Designs (2009, methodology): “Collins et al. (2005) and Nair et al. (2008) have provided some introductory information on the use of fractional factorial designs in intervention research.”