An empirical method to identify patterns in the course of psychotic episodes of people with schizophrenia
| Autor: | Hedda Helm, Lorenzo Burti, Graham Thornicroft, Mariangela Mazzi, Maarten W. J. Koeter, Jonathan Bindman, Aart H. Schene, Bernd Puschner, Michele Tansella, Morven Leese |
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| Přispěvatelé: | Amsterdam Neuroscience, Amsterdam Public Health, Adult Psychiatry |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Adult
Male medicine.medical_specialty Adolescent Databases Factual Schizophrenia (object-oriented programming) Adherence therapy Outcome (game theory) Homogeneous clusters law.invention Disability Evaluation Young Adult Randomized controlled trial law medicine Cluster Analysis Humans Longitudinal Studies Psychiatry Research Articles Aged Randomized Controlled Trials as Topic Retrospective Studies Psychiatric Status Rating Scales Clinical course Middle Aged Psychotic episodes Diagnostic and Statistical Manual of Mental Disorders Hospitalization Psychiatry and Mental health Psychotic Disorders Disease Progression Quality of Life Schizophrenia Female Schizophrenic Psychology Factor Analysis Statistical Psychology Clinical psychology |
| Zdroj: | International journal of methods in psychiatric research, 18(4), 265-278. Wiley-Blackwell |
| ISSN: | 1049-8931 |
| Popis: | Objective: This paper illustrates the process of constructing, selecting and applying simple measures in order to empirically derive patterns of course of psychotic episodes in schizophrenia. Method: Data were collected with a composite instrument constructed for a multi-centre, follow-up randomized controlled trial of adherence therapy for people with schizophrenia. The instrument included a retrospective weekly assessment of psychotic/non-psychotic status, which was used to derive the measures, and the DSM-IV course specifiers. Results: The measures discriminated well between different course patterns and identified homogeneous clusters of subjects which correlated with the groups derived from the DSM-IV course specifiers. Conclusions: The new measures provide an empirical basis to identify specific patterns of course and to differentiate patients according to pre-defined criteria. They can be used in follow-up studies as measures of outcome, to investigate correlations between variables and to identify potential predictors of outcome. Copyright © 2009 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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