Treatment Integrity: A Foundation for Evidence-Based Practice in Applied Psychology
For individuals in the U.S. & U.S. territories
Treatment integrity, in its broadest sense, is the extent to which an intervention is implemented as intended. Over the past 3 decades, understanding of treatment integrity has greatly evolved.
This book summarizes the current state of our knowledge of treatment integrity on such topics as
- how it fits into the larger contexts of evidence-based practice and implementation science
- its relation to ethics and the law
- conceptual models, assessment, promotion, and application
- conceptual models of treatment integrity in the fields of medicine, prevention science, and health psychology
- assessment of treatment integrity itself
- how a conceptual model can inform the development of a comprehensive treatment integrity assessment system
- its use in practice and research in education and psychology
Authoritative and up to date, this volume is a unique resource for all professionals supervising, providing, or evaluating intervention services, including researchers and practitioners in clinical, counseling, and school psychology; child and adolescent psychiatry; social work; communication disorders; special and general education; program evaluation; and educational leadership.
Introduction: Treatment Integrity in Psychological Research and Practice
Lisa M. Hagermoser Sanetti and Thomas R. Kratochwill
I. Conceptualizing Treatment Integrity
- Treatment Fidelity in Health Services Research
Heather A. King and Hayden Bosworth
- Understanding and Promoting Treatment Integrity in Prevention
Brian K. Bumbarger
- Treatment Integrity as Adult Behavior Change: A Review of Theoretical Models
Anna C. J. Long and Brandy R. Maynard
II. Assessing Treatment Integrity
- Conceptual Foundations for Measuring the Implementation of Educational Innovations
Jeanne Century and Amy Cassata
- Measuring and Analyzing Treatment Integrity Data in Research
Frank M. Gresham
- Assessment of Treatment Integrity in Psychotherapy Research
III. Promoting Treatment Integrity
- The Use of Performance Feedback to Improve Intervention Implementation in Schools
George H. Noell and Kristin A. Gansle
- Producing High Levels of Treatment Integrity in Practice: A Focus on Preparing Practitioners
Dean L. Fixsen, Karen A. Blase, Allison J. Metz, and Sandra F. Naoom
- Behavior Analytic Techniques to Promote Treatment Integrity
Florence D. DiGennaro Reed, Jason M. Hirst, and Veronica J. Howard
IV. Applying Treatment Integrity Assessment and Promotion Methods
- Legal and Ethical Issues Related to Treatment Integrity in Psychology and Education
Julia E. McGivern and Martha J. Walter
- Treatment Integrity in Conjoint Behavioral Consultation: Active Ingredients and Potential Pathways of Influence
Susan M. Sheridan, Kristin M. Rispoli, and Shannon R. Holmes
- Treatment Integrity in Urban, Community-Based Prevention Programs
Courtney N. Baker, Stephen S. Leff, Katherine Bevans, and Thomas J. Power
About the Editors
Lisa M. Hagermoser Sanetti, PhD, is an associate professor at the University of Connecticut, a research scientist with the Center for Behavioral Education and Research, and a licensed psychologist in Connecticut.
Dr. Sanetti's research interests involve implementation science, treatment integrity assessment and promotion, and evidence-based practice in schools. In 2012, she received the Lightner Witmer Award from APA for her early career scholarship related to treatment integrity.
Thomas R. Kratochwill, PhD, is Sears Roebuck Foundation-Bascom Professor at the University of Wisconsin–Madison, director of the School Psychology Program, and a licensed psychologist in Wisconsin.
Dr. Kratochwill is the author of more than 200 journal articles and book chapters. He has written or edited more than 30 books and has made more than 300 professional presentations. His research interests include problem-solving consultation, transportability of evidence-based interventions to practice, children's anxiety disorders, and single-case research design and data analysis.