Optimization of Behavioral, Biobehavioral, and Biomedical Interventions

1. Front Matter

   Pages i-xii

   PDF

2. Using the Multiphase Optimization Strategy (MOST) to Develop an Optimized Online STI Preventive Intervention Aimed at College Students: Description of Conceptual Model and Iterative Approach to Optimization

   • Kari C. Kugler, David L. Wyrick, Amanda E. Tanner, Jeffrey J. Milroy, Brittany Chambers, Alice Ma et al.

   Pages 1-21

3. Implementing Factorial Experiments in Real-World Settings: Lessons Learned While Engineering an Optimized Smoking Cessation Treatment

   • Megan E. Piper, Tanya R. Schlam, David Fraser, Madeline Oguss, Jessica W. Cook

   Pages 23-45

4. Multilevel Factorial Designs in Intervention Development

   • Inbal Nahum-Shani, John J. Dziak

   Pages 47-87

5. Experimental Designs for Research on Adaptive Interventions: Singly and Sequentially Randomized Trials

   • Daniel Almirall, Inbal Nahum-Shani, Lu Wang, Connie Kasari

   Pages 89-120

6. Intensively Adaptive Interventions Using Control Systems Engineering: Two Illustrative Examples

   • Daniel E. Rivera, Eric B. Hekler, Jennifer S. Savage, Danielle Symons Downs

   Pages 121-173

7. Coding and Interpretation of Effects in Analysis of Data from a Factorial Experiment

   • Kari C. Kugler, John J. Dziak, Jessica Trail

   Pages 175-205

8. Optimizing the Cost-Effectiveness of a Multicomponent Intervention Using Data from a Factorial Experiment: Considerations, Open Questions, and Tradeoffs Among Multiple Outcomes

   • John J. Dziak

   Pages 207-267

9. Investigating an Intervention’s Causal Story: Mediation Analysis Using a Factorial Experiment and Multiple Mediators

   • Rachel A. Smith, Donna L. Coffman, Xun Zhu

   Pages 269-294

10. Back Matter

    Pages 295-301

    PDF

Behavioral, biobehavioral, and biomedical interventions are programs with the objective of improving and maintaining human health and well-being, broadly defined, in individuals, families, schools, organizations, or communities.  These interventions may be aimed at, for example, preventing or treating disease, promoting physical and mental health, preventing violence, or improving academic achievement.  

This book provides additional information on a principled empirical framework for developing interventions that are more effective, efficient, economical, and scalable.  This framework is introduced in the monograph, "Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST)" by Linda M. Collins (Springer, 2018).  The present book is focused on advanced topics related to MOST.   The chapters, all written by experts, are devoted to topics ranging from experimental design and data analysis to development of a conceptual model and implementation of a complex experiment in the field. Intervention scientists who are preparing to apply MOST will find this book an important reference and guide for their research.  Fields to which this work pertains include public health (medicine, nursing, health economics, implementation sciences), behavioral sciences (psychology, criminal justice), statistics, and education.

• Behavioral and biobehavioral interventions
• BBI
• Intervention
• Adaptive intervention
• Statistical analysis for behavioral sciences
• Factorial experiments
• Experimental design

• The Pennsylvania State University, The Methodology Center, University Park, USA

  Linda M. Collins, Kari C. Kugler

Linda M. Collins is Distinguished Professor of Human Development and Family Studies, Professor of Statistics, and the director of The Methodology Center at the Pennsylvania State University. She is interested in most aspects of research methods.  Her current work focuses on experimental and non-experimental design, particularly for building, optimizing and evaluating behavioral, biobehavioral, and biomedical interventions. Professor Collins also has a long-standing interest in models for longitudinal data, particularly latent transition analysis, and other latent class models.


Kari C. Kugler is an Assistant Teaching Professor in Biobehavioral Health and an Affiliate of the Methodology Center at Penn State. Trained as a behavioral epidemiologist, her work focuses on the design and analysis of multi-component, multi-level interventions targeting a wide range of health behaviors among various populations and contexts.  She collaborates with intervention scientists on building highly effective and efficient behavioral interventions.

Policies and ethics