The Scientist Practitioner: Research and Accountability in the Age of Managed Care

The scientist-practitioner model is the single most popular approach to the training of graduate students in applied psychology and in related fields. It shows the student that involvement in practice-based research and accountability is both an applied and a research necessity. It stresses that research and practice are not separate domains, but integrated.

Table of Contents:
Each chapter begins with an “Introduction.” Preface. About the Authors and Contributors. 1.The Scientist Practitioner. Development of the Scientist-Practitioner Model. A Historical Perspective on the Scientist-Practitioner Split. Research Has Little Influence on Practice. Where Did Practitioners Get Their Techniques? The Future: Clinical Practice in the Era of Managed Care. 2.Managed Care, the Scientist Practitioner, and the Future of Behavioral Healthcare Delivery. Behavioral Healthcare: The Past. The Industrialization of Healthcare. Current Behavioral Healthcare Delivery Systems. The Future. Conclusion. 3.Current Research Strategies and the Role of the Practitioner. Research on Panic Disorder with Agoraphobia. The Establishment of Psychosocial Treatments with Proven Efficacy. Alternative Models of Research. 4.Opportunities for Integrating the Scientist Practitioner into a System of Managed Behavioral Healthcare Delivery. An Integrated System of Science-Based Practice. Practice Guidelines. 5.The Essentials of Time-Series Methodology. Repeated Measurement and the Individual Level of Analysis. Quality of Measurement. Specifying the Intervention. Establishing the Degree of Variability in Repeated Measures. Accountability: The Continuity of Case Studies and Single-Case Experimentation. Replication. An Attitude of Investigative Play. Knowledge of Design Elements. 6.Within-Series Elements. The Simple Phase-Change Element. Using the Simple Phase Change. Complex Phase-Change Elements. Follow-Up. Evaluating the Results of within Series Strategies. 7.Between-Series Elements. The Alternating-Treatments Design. The Simultaneous-Treatment Design. 8.Combined-Series Elements and the Integrated Use of Research Tools. The Multiple Baseline. The Crossover Design. The Constant-Series Control. The True Reversal. Conclusion. Combining Single Case Design Elements. Stretching the Guidelines. The Contribution of “Case Studies.” 9.Research in General Practice Settings: Production and Consumption of Clinical Replication Series. Clinical Replication Series. Guidelines for Conducting Clinical Replication Series. The Masters and Johnson Series. Examining Failures. Statistical Approaches for Predicting Success and Failure. Conclusions. Creating a Structure for Clinical Replication: Practice Research Networks. Guidelines for Consuming Clinical Replication Data. 10.Program Evaluation. Needs Assessment. Program Goals and Content. Monitoring of Program Processes. Assessing Program Outcomes. Assessing Costs. Evaluation Design. The Use of Program Evaluation Techniques. Ethical Issues. 11.General Strategies in Assessment and Data Collection. Assessment in the Era of Managed Care: A Population-Based Approach. Goals of Assessment. Guidelines for Collecting Measures. Summary and Conclusions. 12.William J. Korotitsch and Rosemary O. Nelson-Gray, Self-Report and Physiological Measures. Self-Report Measures. Issues in the Use of Self-Report. Physiological Measures. Clinical Applications of Psychophysiological Measurement. Composite Measures. Summary. 13.Susan Baird and Rosemary O. Nelson-Gray, Direct Observation and Self-Monitoring. Direct Observation. Introduction to Self-Monitoring. What and How to Self-Monitor: Behaviors and Devices. Computers and Self-Monitoring. Using Self-Monitoring with Clients. Accuracy of Self-Monitoring. The Reactivity of Self-Monitoring. Summary. References. Author Index. Subject Index.