The Quality in Psychiatric Care-Forensic In-Patient Staff (QPC-FIPS) instrument: Psychometric properties and staff views of the quality of forensic psychiatric services in Sweden
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چکیده
The aim of the present study was to evaluate the psychometric properties and dimensionality of the instrument Quality in Psychiatric Care-Forensic In-Patient Staff (QPC-FIPS) and to describe the perceived quality of psychiatric care among forensic inpatient service staff. A sample of 348 forensic inpatient staff from 18 forensic wards in Sweden participated in the study. A confirmatory factor analysis revealed a seven-factor structure with item loadings > 0.50 on expected factors, indicating adequate psychometric properties. The staff’s ratings of quality of care were high, 94% being positive. The highest ratings were found for the secluded-environment dimension and the lowest for the secure-environment dimension. Several factors influenced the ratings of quality of care, for instance, staff’s time to perform their duties and staff’s age. It is concluded that the QPC-FIPS can give valuable information about staff’s perceptions of the quality of care provided at inpatient forensic psychiatric care services, which can be used to identify areas for quality improvement. Use of the QPC-FIPS is an easy and inexpensive way to evaluate quality in forensic inpatient care, preferably in conjunction with the QPC-FIP instrument developed for forensic inpatients and covering the same items and dimensions.
منابع مشابه
Factor Structure and Psychometric Properties of the Danish Adaptation of the Instrument Quality in Psychiatric Care-Forensic In-Patient Staff (QPC-FIPS)
There is a need for an internationally standardized and psychometrically tested instrument to measure the perceptions of staff members on the quality of forensic inpatient care provided. The aim of the present study was to adapt the Swedish instrument Quality of Psychiatric Care-Forensic In-Patient Staff (QPC-FIPS) to the Danish context and to evaluate its psychometric properties and factor str...
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