Peer, Jason E; Kupper, Zeno; Long, Jeffrey D; Brekke, John S; Spaulding, William D (2007). Identifying mechanisms of treatment effects and recovery in rehabilitation of schizophrenia: longitudinal analytic methods. Clinical psychology review, 27(6), pp. 696-714. New York, N.Y.: Elsevier Science 10.1016/j.cpr.2007.01.004
Full text not available from this repository.The longitudinal dimension of schizophrenia and related severe mental illness is a key component of theoretical models of recovery. However, empirical longitudinal investigations have been underrepresented in the psychopathology of schizophrenia. Similarly, traditional approaches to longitudinal analysis of psychopathological data have had serious limitations. The utilization of modern longitudinal methods is necessary to capture the complexity of biopsychosocial models of treatment and recovery in schizophrenia. The present paper summarizes empirical data from traditional longitudinal research investigating recovery in symptoms, neurocognition, and social functioning. Studies conducted under treatment as usual conditions are compared to psychosocial intervention studies and potential treatment mechanisms of psychosocial interventions are discussed. Investigations of rehabilitation for schizophrenia using the longitudinal analytic strategies of growth curve and time series analysis are demonstrated. The respective advantages and disadvantages of these modern methods are highlighted. Their potential use for future research of treatment effects and recovery in schizophrenia is also discussed.
Item Type: |
Journal Article (Further Contribution) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Psychotherapy |
UniBE Contributor: |
Kupper, Zeno |
ISSN: |
0272-7358 |
ISBN: |
17343964 |
Publisher: |
Elsevier Science |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:55 |
Last Modified: |
05 Dec 2022 14:17 |
Publisher DOI: |
10.1016/j.cpr.2007.01.004 |
PubMed ID: |
17343964 |
Web of Science ID: |
000247983800003 |
URI: |
https://boris.unibe.ch/id/eprint/23596 (FactScience: 42768) |
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