Literature DB >> 32715429

Working Towards the Development and Implementation of Precision Mental Healthcare: An Example.

Wolfgang Lutz1, Brian Schwartz2, Juan Martín Gómez Penedo2, Kaitlyn Boyle2, Anne-Katharina Deisenhofer2.   

Abstract

Leonard Bickman's (2020) Festschrift paper in the special issue "The Future of Children's Mental Health Services" on improving mental health services is an impressive reflection of his career, highlighting his major insights and the development of mental health services research as a whole. Five major difficulties in this field's current research and practice are attentively delineated: poor diagnostics, measurement problems, disadvantages of randomized controlled trials (RCTs), lack of feedback and personalized treatments. Dr. Bickman recommends possible solutions based on his extensive experience and empirical findings. We agree with his thoughts and illustrate how we, challenged with the same problems, have attempted to develop clinically informed research and evidence-based clinical practice. A comprehensive feedback system that deals with the aforementioned problems is briefly described. It includes pre-treatment recommendations for treatment strategies and an empirically informed dropout prediction based on a variety of data sources. In addition to treatment recommendations, continuous feedback as well as individualized treatment adaptation tools are provided during ongoing therapy. New projects are being implemented to further improve the system by including new data assessment strategies and sources, e.g., ecological momentary assessment (EMA) and automated video analysis.

Entities:  

Keywords:  Artificial intelligence; Personalized and precision mental health; Routine outcome monitoring; Treatment navigation

Year:  2020        PMID: 32715429     DOI: 10.1007/s10488-020-01053-y

Source DB:  PubMed          Journal:  Adm Policy Ment Health        ISSN: 0894-587X


  4 in total

1.  Understanding the differential impact of outcome monitoring: therapist variables that moderate feedback effects in a randomized clinical trial.

Authors:  Kim de Jong; Patricia van Sluis; M Annet Nugter; Willem J Heiser; Philip Spinhoven
Journal:  Psychother Res       Date:  2012-04-02

2.  Assessing treatment integrity in personalized CBT: the inventory of therapeutic interventions and skills.

Authors:  Kaitlyn Boyle; Anne-Katharina Deisenhofer; Julian A Rubel; Björn Bennemann; Birgit Weinmann-Lutz; Wolfgang Lutz
Journal:  Cogn Behav Ther       Date:  2019-07-02

3.  Leptospiral antibodies in random human population in Sikkim.

Authors:  A K Mukherjea; A K Sen
Journal:  Bull Calcutta Sch Trop Med       Date:  1966-04

4.  A measurement feedback system (MFS) is necessary to improve mental health outcomes.

Authors:  Leonard Bickman
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2009-08-21       Impact factor: 8.829

  4 in total
  3 in total

Review 1.  Cognitive Behavior Therapy at the Crossroads.

Authors:  Simon E Blackwell; Thomas Heidenreich
Journal:  Int J Cogn Ther       Date:  2021-02-08

2.  Screening accuracy of a 14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: Comparison with the PHQ-9 depression screening.

Authors:  Sebastian Burchert; André Kerber; Johannes Zimmermann; Christine Knaevelsrud
Journal:  PLoS One       Date:  2021-01-06       Impact factor: 3.240

3.  Festschrift for Leonard Bickman: Introduction to The Future of Children's Mental Health Services Special Issue.

Authors:  Sonja K Schoenwald; Catherine P Bradshaw; Kimberly Eaton Hoagwood; Marc S Atkins; Nicholas Ialongo; Susan R Douglas
Journal:  Adm Policy Ment Health       Date:  2020-09
  3 in total

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