Personalization of Psychological Treatments and Data-informed Clinical Practice_Enduring

The development of change measurement in psychotherapy has substantially evolved in recent decades, making it an integral part of clinical practice and training. This presentation addresses fundamental issues of change in psychotherapy: how to measure, monitor or to predict it and how to provide feedback on treatment change. The presentation starts with a historical overview of psychotherapy research, covering several approaches applied to a data-informed clinical practice. The focus will be on the impact of assessments and feedback into clinical practice, the tracking and prediction of individual change, therapist differences, and continuous and discontinuous patterns of change within treatments as well as differences between treatments. A research program and treatment navigation system is presented (the Trier Treatment Navigator), that investigates the change processes as well as progress and outcome on different levels of the psychotherapeutic endeavor. Such new treatment navigation systems allow the inclusion of individually tailored problem-solving strategies for treatment selection and adaptation, especially for those patients at risk for treatment failure. Furthermore, the integration and implementation of outcome measurement into clinical practice and training and its hurdles will be presented.

 

Target Audience

This program was designed for physicians, nurses, nurse practitioners, psychologists, and social workers. 

Recommended Reading:

  1. Lutz, W., de Jong, K., Rubel, J., & Delgadillo, J. (2021). Measuring, Predicting and Tracking Change in Psychotherapy. In M. Barkham, W. Lutz, & L. G. Castonguay (Eds.), Bergin and Garfield's Handbook of Psychotherapy and Behavior Change (7th ed.), (pp. 89-133),. New York, NY: Wiley.
  2. Lutz, W., Deisenhofer, A.-K., Rubel, J., Bennemann, B., Giesemann, J., Poster, K., & Schwartz, B. (2021). Prospective evaluation of clinical decision support system in psychological therapy. Journal of Consulting and Clinical Psychology. https://doi.org/10.1037/ccp0000642
  3. Lutz, W., Rubel, J., Schwartz, B., Schilling, V., & Deisenhofer, A. (2019). Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN). Behaviour Research and Therapy.https://www.sciencedirect.com/science/article/abs/pii/S000579671930124X?via%3Dihub
  4. Lutz, W., Schwartz, B., Hofmann, S. G., Fisher, A. J., Husen, K., & Rubel, J. A. (2018). Network analysis predicts treatment dropout in patients with mood and anxiety disorders. Scientific Reports. 8, 7819. DOI: 10.1038/s41598-018-25953-0

Learning Objectives

Upon completion of this activity, participants should be able to:

  • Describe what Personalized Mental Health Care is
  • Identify what we know about therapist effects
  • Recognize what is the better-than-average effect
  • Identify why clinical support tools are useful for routine practice
  • Explain how digital phenotyping information can be useful for clinical practice

 

 
Course summary
Available credit: 
  • 0.75 AMA PRA Category 1 Credit™
    The University of Pittsburgh School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
  • 0.75 ANCC
    UPMC Provider Unit is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation
  • 0.75 APA
  • 0.75 Attendance
Course opens: 
02/25/2022
Course expires: 
02/25/2025

Speaker:

Wolfgang Lutz, PhD

Wolfgang Lutz is a Professor and Director of the Outpatient Clinic and Postgraduate Clinical Training
Program in the Clinical Psychology and Psychotherapy department at the University of Trier in Germany.
Dr. Lutz’s research focuses on change in psychotherapy and using empirical data for personalized
decision-making in mental health. He is particularly interested in assessing and modelling patients’
individual change in anxiety and depressive disorders over the course of treatment. His work also entails
identifying predictors and mediators of treatment outcome. His work has been featured in numerous
psychology journals, including Journal of Consulting and Clinical Psychology, Journal of Affective
Disorders, JAMA Psychiatry, Behaviour Research and Therapy, Psychological Assessment, and more. Dr.
Lutz has been recognized for various awards and fellowships, including an Early Career Contribution
Award of the International Society for Psychotherapy Research, and distinguished research and leader
recognition from the Association for Psychological Science.

Planning Commitee:

Judy Callan, PhD RN
Rudi De Raedt, PhD
Angela Fang, PhD
Ryan Jane Jacoby, Ph.D.
Maria Kryza-Lacombe, PhD
Andrew Peckham, PhD
Greg Siegle, PhD
Marlene Strege,PhD
Michael Thase, MD

Conflict of Interest Disclosure:

No members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships with any companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.

Disclaimer Statement

The information presented at this CME program represents the views and opinions of the individual presenters, and does not constitute the opinion or endorsement of, or promotion by, the UPMC Center for Continuing Education in the Health Sciences, UPMC / University of Pittsburgh Medical Center or Affiliates and University of Pittsburgh School of Medicine.  Reasonable efforts have been taken intending for educational subject matter to be presented in a balanced, unbiased fashion and in compliance with regulatory requirements. However, each program attendee must always use his/her own personal and professional judgment when considering further application of this information, particularly as it may relate to patient diagnostic or treatment decisions including, without limitation, FDA-approved uses and any off-label uses.

 

In support of improving patient care, the University of Pittsburgh is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

The University of Pittsburgh School of Medicine designates this enduring material for a maximum of .75 AMA PRA Category 1 CreditsTM. Physicians should only claim credit commensurate with the extent of their participation in the activity.

Psychology (APA) Continuing Education (CE) credits for psychologists are provided through the co-sponsorship of the American Psychological Association (APA) Office of Continuing Education in Psychology (CEP). The APA CEP office maintains responsibility for the content of the programs

The maximum number of hours awarded for this Continuing Nursing Education activity is .75 contact hours.

Other health care professionals will receive a certificate of attendance confirming the number of contact hours commensurate with the extent of participation in this activity.

All presenters disclosure of relevant financial relationships with any entity producing, marketing, re-selling, or distributing health care goods or services, used on, or consumed by, patients is listed above.  No other planners, members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships to disclose.

 

Available Credit

  • 0.75 AMA PRA Category 1 Credit™
    The University of Pittsburgh School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
  • 0.75 ANCC
    UPMC Provider Unit is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation
  • 0.75 APA
  • 0.75 Attendance
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