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The Quality in Psychiatric Care–Inpatient Staff Instrument: A Psychometric Evaluation

Much work has focused on the development of instruments that measure the quality of care, but few studies have been published for staff assessment of the quality of care provided by inpatient psychiatric care. Therefore, an instrument is needed to measure the quality of care from the perspective of...

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Autores principales: Schröder, Agneta, Lundqvist, Lars-Olov
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323779/
https://www.ncbi.nlm.nih.gov/pubmed/35885740
http://dx.doi.org/10.3390/healthcare10071213
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author Schröder, Agneta
Lundqvist, Lars-Olov
author_facet Schröder, Agneta
Lundqvist, Lars-Olov
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description Much work has focused on the development of instruments that measure the quality of care, but few studies have been published for staff assessment of the quality of care provided by inpatient psychiatric care. Therefore, an instrument is needed to measure the quality of care from the perspective of facility staff. The aim of the present study was to evaluate the psychometric properties and factor structure of the Quality in Psychiatric Care-Inpatient Staff (QPC-IPS) instrument. A sample of 104 staff at seven wards in four regions in Sweden completed the QPC-IPS, which consists of 30 items covering six dimensions of quality. Confirmatory factor analysis confirmed the proposed six factor structure of the QPC-IPS. Internal consistency for the full QPC-IPS was adequate, but poor for some of the dimensions. Staff ratings of the quality of care were generally high. The highest rating was for the Support dimension and the lowest for the Secure environment dimension.
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spelling pubmed-93237792022-07-27 The Quality in Psychiatric Care–Inpatient Staff Instrument: A Psychometric Evaluation Schröder, Agneta Lundqvist, Lars-Olov Healthcare (Basel) Article Much work has focused on the development of instruments that measure the quality of care, but few studies have been published for staff assessment of the quality of care provided by inpatient psychiatric care. Therefore, an instrument is needed to measure the quality of care from the perspective of facility staff. The aim of the present study was to evaluate the psychometric properties and factor structure of the Quality in Psychiatric Care-Inpatient Staff (QPC-IPS) instrument. A sample of 104 staff at seven wards in four regions in Sweden completed the QPC-IPS, which consists of 30 items covering six dimensions of quality. Confirmatory factor analysis confirmed the proposed six factor structure of the QPC-IPS. Internal consistency for the full QPC-IPS was adequate, but poor for some of the dimensions. Staff ratings of the quality of care were generally high. The highest rating was for the Support dimension and the lowest for the Secure environment dimension. MDPI 2022-06-28 /pmc/articles/PMC9323779/ /pubmed/35885740 http://dx.doi.org/10.3390/healthcare10071213 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Schröder, Agneta
Lundqvist, Lars-Olov
The Quality in Psychiatric Care–Inpatient Staff Instrument: A Psychometric Evaluation
title The Quality in Psychiatric Care–Inpatient Staff Instrument: A Psychometric Evaluation
title_full The Quality in Psychiatric Care–Inpatient Staff Instrument: A Psychometric Evaluation
title_fullStr The Quality in Psychiatric Care–Inpatient Staff Instrument: A Psychometric Evaluation
title_full_unstemmed The Quality in Psychiatric Care–Inpatient Staff Instrument: A Psychometric Evaluation
title_short The Quality in Psychiatric Care–Inpatient Staff Instrument: A Psychometric Evaluation
title_sort quality in psychiatric care–inpatient staff instrument: a psychometric evaluation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323779/
https://www.ncbi.nlm.nih.gov/pubmed/35885740
http://dx.doi.org/10.3390/healthcare10071213
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