The Many-Facet Rasch Model (MFRM - Linacre, 1989; 1994) has the great advantage for clinical practice that it allows the practitioner not only to examine and assess the patient behavior patterns, but it allows as well to analyze the patient behavior at different occasions during a period of time. In this study, on the basis of previous research (e. g. Rangell, 1981; Markova & Berrios, 1995) and of psychiatric practice the Psychiatric Patient Self-Awareness (PPSA) behavior is identified through five indexes, namely: 1. Request (the subject decides autonomously to ask for help); 2. Autonomy (the subject is aware of his health status); 3. Content (the reasons why a request for help is advanced); 4. Relations (the subject is able to communicate with the others); 5. Context (the subject is aware of the context where he is acting). In this study the main purposes consist in confirming the existence of the PPSA variable and in defining the patient awareness behavior patterns in a period of time by means of MFRM analysis. The combination of Rasch analysis and expert clinical knowledge allows us to predict clinical diagnosis of PPSA behavior. Further the inclusion of a time-point facet enables us to investigate and diagnose patient behavior longitudinally, which is helpful in patient treatment and predicting the usage of clinical resources.

Assessing psychiatric patient self-awareness behavior with Many-Facet Rasch analysis

MANNARINI, STEFANIA;
2008

Abstract

The Many-Facet Rasch Model (MFRM - Linacre, 1989; 1994) has the great advantage for clinical practice that it allows the practitioner not only to examine and assess the patient behavior patterns, but it allows as well to analyze the patient behavior at different occasions during a period of time. In this study, on the basis of previous research (e. g. Rangell, 1981; Markova & Berrios, 1995) and of psychiatric practice the Psychiatric Patient Self-Awareness (PPSA) behavior is identified through five indexes, namely: 1. Request (the subject decides autonomously to ask for help); 2. Autonomy (the subject is aware of his health status); 3. Content (the reasons why a request for help is advanced); 4. Relations (the subject is able to communicate with the others); 5. Context (the subject is aware of the context where he is acting). In this study the main purposes consist in confirming the existence of the PPSA variable and in defining the patient awareness behavior patterns in a period of time by means of MFRM analysis. The combination of Rasch analysis and expert clinical knowledge allows us to predict clinical diagnosis of PPSA behavior. Further the inclusion of a time-point facet enables us to investigate and diagnose patient behavior longitudinally, which is helpful in patient treatment and predicting the usage of clinical resources.
2008
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2267581
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