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Evaluating the organisational climate in Italian public healthcare institutions by means of a questionnaire

BACKGROUND: By means of the ICONAS project, the Healthcare Agency of an Italian Region developed, and used a standardised questionnaire to quantify the organisational climate. The aims of the project were (a) to investigate whether the healthcare institutions were interested in measuring climate, (b...

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Autores principales: Wienand, Ulrich, Cinotti, Renata, Nicoli, Augusta, Bisagni, Miriam
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891100/
https://www.ncbi.nlm.nih.gov/pubmed/17519007
http://dx.doi.org/10.1186/1472-6963-7-73
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author Wienand, Ulrich
Cinotti, Renata
Nicoli, Augusta
Bisagni, Miriam
author_facet Wienand, Ulrich
Cinotti, Renata
Nicoli, Augusta
Bisagni, Miriam
author_sort Wienand, Ulrich
collection PubMed
description BACKGROUND: By means of the ICONAS project, the Healthcare Agency of an Italian Region developed, and used a standardised questionnaire to quantify the organisational climate. The aims of the project were (a) to investigate whether the healthcare institutions were interested in measuring climate, (b) to estimate the range of applicability and reliability of the instrument, (c) to analyse the dimensions of climate among healthcare personnel, (d) to assess the differences among employees with different contractual positions. METHODS: The anonymous questionnaire containing 50 items, each with a scale from 1 to 10, was offered to the healthcare organisations, to be compiled during ad hoc meetings. The data were sent to the central project coordinator. The differences between highly specialised staff (mostly physicians) and other employees were assessed after descriptive statistical analysis of the single items. Both Principal Component Analysis and Factor Analysis were used. RESULTS: Ten healthcare organisations agreed to partecipate. The questionnaire was completed by 8691 employees out of 13202. The mean value of organisational climate was 4.79 (range 1–10). There were significant differences among single items and between the 2 groups of employees. Multivariate methods showed: (a) one principal component explained > 40% of the variance, (b) 7 factors summarised the data. CONCLUSION: Italian healthcare institutions are interested in assessing organisational phenomena, especially after the reforms of the nineties. The instrument was found to be applicable and suitable for measuring organisational climate. Administration of the questionnaire leads to an acceptable response rate. Climate can be discribed by means of 7 underlying dimensions.
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spelling pubmed-18911002007-06-13 Evaluating the organisational climate in Italian public healthcare institutions by means of a questionnaire Wienand, Ulrich Cinotti, Renata Nicoli, Augusta Bisagni, Miriam BMC Health Serv Res Research Article BACKGROUND: By means of the ICONAS project, the Healthcare Agency of an Italian Region developed, and used a standardised questionnaire to quantify the organisational climate. The aims of the project were (a) to investigate whether the healthcare institutions were interested in measuring climate, (b) to estimate the range of applicability and reliability of the instrument, (c) to analyse the dimensions of climate among healthcare personnel, (d) to assess the differences among employees with different contractual positions. METHODS: The anonymous questionnaire containing 50 items, each with a scale from 1 to 10, was offered to the healthcare organisations, to be compiled during ad hoc meetings. The data were sent to the central project coordinator. The differences between highly specialised staff (mostly physicians) and other employees were assessed after descriptive statistical analysis of the single items. Both Principal Component Analysis and Factor Analysis were used. RESULTS: Ten healthcare organisations agreed to partecipate. The questionnaire was completed by 8691 employees out of 13202. The mean value of organisational climate was 4.79 (range 1–10). There were significant differences among single items and between the 2 groups of employees. Multivariate methods showed: (a) one principal component explained > 40% of the variance, (b) 7 factors summarised the data. CONCLUSION: Italian healthcare institutions are interested in assessing organisational phenomena, especially after the reforms of the nineties. The instrument was found to be applicable and suitable for measuring organisational climate. Administration of the questionnaire leads to an acceptable response rate. Climate can be discribed by means of 7 underlying dimensions. BioMed Central 2007-05-22 /pmc/articles/PMC1891100/ /pubmed/17519007 http://dx.doi.org/10.1186/1472-6963-7-73 Text en Copyright © 2007 Wienand et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wienand, Ulrich
Cinotti, Renata
Nicoli, Augusta
Bisagni, Miriam
Evaluating the organisational climate in Italian public healthcare institutions by means of a questionnaire
title Evaluating the organisational climate in Italian public healthcare institutions by means of a questionnaire
title_full Evaluating the organisational climate in Italian public healthcare institutions by means of a questionnaire
title_fullStr Evaluating the organisational climate in Italian public healthcare institutions by means of a questionnaire
title_full_unstemmed Evaluating the organisational climate in Italian public healthcare institutions by means of a questionnaire
title_short Evaluating the organisational climate in Italian public healthcare institutions by means of a questionnaire
title_sort evaluating the organisational climate in italian public healthcare institutions by means of a questionnaire
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891100/
https://www.ncbi.nlm.nih.gov/pubmed/17519007
http://dx.doi.org/10.1186/1472-6963-7-73
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