18 research outputs found
Evaluating the organisational climate in Italian public healthcare institutions by means of a questionnaire
<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>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.</p
Factors associated with job satisfaction among Chinese community health workers: a cross-sectional study
Automatic Approaches to On-Land/On-Board Filtering and Lossy Compression of AVIRIS Images
Hyperspectral imaging is widely used in different applications [1]. However, the obtained data occupy rather large volume and their compression is important for data transmission via communication lines, transferring to customers and/or archiving [2]. Lossless compression is often unable to produce a desirable compression ratio (CR) [1, 2], thus, lossy compression techniques are widely applied [3]. For lossy compression, there are two conflicting requirements – to provide larger CR an