The Development of Recovery Curves for the Life Status Questionnaire as a Means of Identifying Patients at Risk for Psychotherapy Treatment Failure

The aim of this study was to create a model for tracking individual patients' progress across psychotherapy. This model provides a system for clinicians and researchers to identify cases at risk for treatment failure. A large national database of repeated administrations of the Life Status Ques...

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Other Authors: Thompson, Kara Cattani (authoraut)
Format: Others
Language:English
English
Published: Florida State University
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Online Access:http://purl.flvc.org/fsu/fd/FSU_migr_etd-1558
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spelling ndltd-fsu.edu-oai-fsu.digital.flvc.org-fsu_1760682020-06-05T03:07:38Z The Development of Recovery Curves for the Life Status Questionnaire as a Means of Identifying Patients at Risk for Psychotherapy Treatment Failure Thompson, Kara Cattani (authoraut) Boroto, Daniel R. (professor directing dissertation) Figley, Charles R. (outside committee member) Lambert, Michael J. (committee member) Megargee, Edwin I. (committee member) Sachs-Ericsson, Natalie J. (committee member) Smith, James C. (committee member) Department of Psychology (degree granting department) Florida State University (degree granting institution) Text text Florida State University Florida State University English eng 1 online resource computer application/pdf The aim of this study was to create a model for tracking individual patients' progress across psychotherapy. This model provides a system for clinicians and researchers to identify cases at risk for treatment failure. A large national database of repeated administrations of the Life Status Questionnaire was used to develop anempirically based statistical model. The model displayed estimated recovery curves with corresponding prediction intervals for patients entering therapy across a range of frequently occurring intake scores. The recovery curves were replicated on an independent sample of patients. There was no evidence of statistically meaningful differences between the slopes or intercepts of the recovery curves. Additionally, the model was able to identify 95% of cases whose final treatment outcome status was considered a treatment failure. These findings indicate confidence in the reliability and criterion validity of the model. This study provided the foundation for establishing an effective system of clinician feedback in a routine practice setting. It is hoped that the use of this system will supplement carefully developed treatment plans and make good therapists even better. A Dissertation Submitted to the Department of Psychology in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy. Summer Semester, 2003. April 25, 2003. Identifying Patients at Risk for Psychotherpy Treatment Includes bibliographical references. Daniel R. Boroto, Professor Directing Dissertation; Charles R. Figley, Outside Committee Member; Michael J. Lambert, Committee Member; Edwin I. Megargee, Committee Member; Natalie J. Sachs-Ericsson, Committee Member; James C. Smith, Committee Member. Psychology FSU_migr_etd-1558 http://purl.flvc.org/fsu/fd/FSU_migr_etd-1558 This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). The copyright in theses and dissertations completed at Florida State University is held by the students who author them. http://diginole.lib.fsu.edu/islandora/object/fsu%3A176068/datastream/TN/view/Development%20of%20Recovery%20Curves%20for%20the%20Life%20Status%20Questionnaire%20as%20a%20Means%20of%20Identifying%20Patients%20at%20Risk%20for%20Psychotherapy%20Treatment%20Failure.jpg
collection NDLTD
language English
English
format Others
sources NDLTD
topic Psychology
spellingShingle Psychology
The Development of Recovery Curves for the Life Status Questionnaire as a Means of Identifying Patients at Risk for Psychotherapy Treatment Failure
description The aim of this study was to create a model for tracking individual patients' progress across psychotherapy. This model provides a system for clinicians and researchers to identify cases at risk for treatment failure. A large national database of repeated administrations of the Life Status Questionnaire was used to develop anempirically based statistical model. The model displayed estimated recovery curves with corresponding prediction intervals for patients entering therapy across a range of frequently occurring intake scores. The recovery curves were replicated on an independent sample of patients. There was no evidence of statistically meaningful differences between the slopes or intercepts of the recovery curves. Additionally, the model was able to identify 95% of cases whose final treatment outcome status was considered a treatment failure. These findings indicate confidence in the reliability and criterion validity of the model. This study provided the foundation for establishing an effective system of clinician feedback in a routine practice setting. It is hoped that the use of this system will supplement carefully developed treatment plans and make good therapists even better. === A Dissertation Submitted to the Department of Psychology in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy. === Summer Semester, 2003. === April 25, 2003. === Identifying Patients at Risk for Psychotherpy Treatment === Includes bibliographical references. === Daniel R. Boroto, Professor Directing Dissertation; Charles R. Figley, Outside Committee Member; Michael J. Lambert, Committee Member; Edwin I. Megargee, Committee Member; Natalie J. Sachs-Ericsson, Committee Member; James C. Smith, Committee Member.
author2 Thompson, Kara Cattani (authoraut)
author_facet Thompson, Kara Cattani (authoraut)
title The Development of Recovery Curves for the Life Status Questionnaire as a Means of Identifying Patients at Risk for Psychotherapy Treatment Failure
title_short The Development of Recovery Curves for the Life Status Questionnaire as a Means of Identifying Patients at Risk for Psychotherapy Treatment Failure
title_full The Development of Recovery Curves for the Life Status Questionnaire as a Means of Identifying Patients at Risk for Psychotherapy Treatment Failure
title_fullStr The Development of Recovery Curves for the Life Status Questionnaire as a Means of Identifying Patients at Risk for Psychotherapy Treatment Failure
title_full_unstemmed The Development of Recovery Curves for the Life Status Questionnaire as a Means of Identifying Patients at Risk for Psychotherapy Treatment Failure
title_sort development of recovery curves for the life status questionnaire as a means of identifying patients at risk for psychotherapy treatment failure
publisher Florida State University
url http://purl.flvc.org/fsu/fd/FSU_migr_etd-1558
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