Empirically and clinically useful decision making in psychotherapy: Differential predictions with treatment response models

Wolfgang Lutz*, Stephen M. Saunders, Scott C. Leon, Zoran Martinovich, Joachim Kosfelder, Dietmar Schulte, Klaus Grawe, Sven Tholen

*Corresponding author for this work

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

In the delivery of clinical services, outcomes monitoring (i.e., repeated assessments of a patient's response to treatment) can be used to support clinical decision making (i.e., recurrent revisions of outcome expectations on the basis of that response). Outcomes monitoring can be particularly useful in the context of established practice research networks. This article presents a strategy to disaggregate patients into homogeneous subgroups to generate optimal expected treatment response profiles, which can be used to predict and track the progress of patients in different treatment modalities. The study was based on data from 618 diagnostically diverse patients treated with either a cognitive-behavioral treatment protocol (n = 262) or an integrative cognitive-behavioral and interpersonal treatment protocol (n = 356). The validity of expected treatment response models to predict treatment in those 2 protocols for individual patients was evaluated. The ways such a procedure might be used in outpatient centers to learn more about patients, predict treatment response, and improve clinical practice are discussed.

Original languageEnglish (US)
Pages (from-to)133-141
Number of pages9
JournalPsychological assessment
Volume18
Issue number2
DOIs
StatePublished - Jun 1 2006

Fingerprint

Psychotherapy
Decision Making
Clinical Protocols
Therapeutics
Outpatients
Research

Keywords

  • Adaptive decision making
  • Differential predictions
  • Expected treatment response
  • Outcomes management
  • Patient-focused research

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

Cite this

Lutz, Wolfgang ; Saunders, Stephen M. ; Leon, Scott C. ; Martinovich, Zoran ; Kosfelder, Joachim ; Schulte, Dietmar ; Grawe, Klaus ; Tholen, Sven. / Empirically and clinically useful decision making in psychotherapy : Differential predictions with treatment response models. In: Psychological assessment. 2006 ; Vol. 18, No. 2. pp. 133-141.
@article{5215cc662b2547d09755ed3a0905e290,
title = "Empirically and clinically useful decision making in psychotherapy: Differential predictions with treatment response models",
abstract = "In the delivery of clinical services, outcomes monitoring (i.e., repeated assessments of a patient's response to treatment) can be used to support clinical decision making (i.e., recurrent revisions of outcome expectations on the basis of that response). Outcomes monitoring can be particularly useful in the context of established practice research networks. This article presents a strategy to disaggregate patients into homogeneous subgroups to generate optimal expected treatment response profiles, which can be used to predict and track the progress of patients in different treatment modalities. The study was based on data from 618 diagnostically diverse patients treated with either a cognitive-behavioral treatment protocol (n = 262) or an integrative cognitive-behavioral and interpersonal treatment protocol (n = 356). The validity of expected treatment response models to predict treatment in those 2 protocols for individual patients was evaluated. The ways such a procedure might be used in outpatient centers to learn more about patients, predict treatment response, and improve clinical practice are discussed.",
keywords = "Adaptive decision making, Differential predictions, Expected treatment response, Outcomes management, Patient-focused research",
author = "Wolfgang Lutz and Saunders, {Stephen M.} and Leon, {Scott C.} and Zoran Martinovich and Joachim Kosfelder and Dietmar Schulte and Klaus Grawe and Sven Tholen",
year = "2006",
month = "6",
day = "1",
doi = "10.1037/1040-3590.18.2.133",
language = "English (US)",
volume = "18",
pages = "133--141",
journal = "Psychological Assessment",
issn = "1040-3590",
publisher = "American Psychological Association Inc.",
number = "2",

}

Empirically and clinically useful decision making in psychotherapy : Differential predictions with treatment response models. / Lutz, Wolfgang; Saunders, Stephen M.; Leon, Scott C.; Martinovich, Zoran; Kosfelder, Joachim; Schulte, Dietmar; Grawe, Klaus; Tholen, Sven.

In: Psychological assessment, Vol. 18, No. 2, 01.06.2006, p. 133-141.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Empirically and clinically useful decision making in psychotherapy

T2 - Differential predictions with treatment response models

AU - Lutz, Wolfgang

AU - Saunders, Stephen M.

AU - Leon, Scott C.

AU - Martinovich, Zoran

AU - Kosfelder, Joachim

AU - Schulte, Dietmar

AU - Grawe, Klaus

AU - Tholen, Sven

PY - 2006/6/1

Y1 - 2006/6/1

N2 - In the delivery of clinical services, outcomes monitoring (i.e., repeated assessments of a patient's response to treatment) can be used to support clinical decision making (i.e., recurrent revisions of outcome expectations on the basis of that response). Outcomes monitoring can be particularly useful in the context of established practice research networks. This article presents a strategy to disaggregate patients into homogeneous subgroups to generate optimal expected treatment response profiles, which can be used to predict and track the progress of patients in different treatment modalities. The study was based on data from 618 diagnostically diverse patients treated with either a cognitive-behavioral treatment protocol (n = 262) or an integrative cognitive-behavioral and interpersonal treatment protocol (n = 356). The validity of expected treatment response models to predict treatment in those 2 protocols for individual patients was evaluated. The ways such a procedure might be used in outpatient centers to learn more about patients, predict treatment response, and improve clinical practice are discussed.

AB - In the delivery of clinical services, outcomes monitoring (i.e., repeated assessments of a patient's response to treatment) can be used to support clinical decision making (i.e., recurrent revisions of outcome expectations on the basis of that response). Outcomes monitoring can be particularly useful in the context of established practice research networks. This article presents a strategy to disaggregate patients into homogeneous subgroups to generate optimal expected treatment response profiles, which can be used to predict and track the progress of patients in different treatment modalities. The study was based on data from 618 diagnostically diverse patients treated with either a cognitive-behavioral treatment protocol (n = 262) or an integrative cognitive-behavioral and interpersonal treatment protocol (n = 356). The validity of expected treatment response models to predict treatment in those 2 protocols for individual patients was evaluated. The ways such a procedure might be used in outpatient centers to learn more about patients, predict treatment response, and improve clinical practice are discussed.

KW - Adaptive decision making

KW - Differential predictions

KW - Expected treatment response

KW - Outcomes management

KW - Patient-focused research

UR - http://www.scopus.com/inward/record.url?scp=33746271566&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33746271566&partnerID=8YFLogxK

U2 - 10.1037/1040-3590.18.2.133

DO - 10.1037/1040-3590.18.2.133

M3 - Article

C2 - 16768589

AN - SCOPUS:33746271566

VL - 18

SP - 133

EP - 141

JO - Psychological Assessment

JF - Psychological Assessment

SN - 1040-3590

IS - 2

ER -