G_Clinic questionnaire to assess job satisfaction in the clinical management units, Spain

• Published in: Revista espanola de salud publica Vol. 88; no. 3; p. 419
• Main Authors: Porcel-Gálvez, Ana M, Martínez-Lara, Concepción, Gil-García, Eugenia, Grao-Cruces, Alberto
• Format: Journal Article
• Language: Spanish
• Published: Spain 01.05.2014
• Subjects: Adult; Cross-Sectional Studies; Factor Analysis, Statistical; Female; Humans; Job Satisfaction; Male; Nursing Staff, Hospital - psychology; Nursing Staff, Hospital - statistics & numerical data; Psychometrics; Reproducibility of Results; Spain; Surveys and Questionnaires; Workplace; Spain
• ISSN: 2173-9110
• DOI: 10.4321/S1135-57272014000300011

Job satisfaction of nurses is a determinant factor in the quality and organizational adaptation of clinical management models in the current socio-economic context. The aim of this study was to construct and validate a questionnaire to measure job satisfaction of nurses in the Clinical Management Units in the Andalusian Public Health System. Clinimetric and cross-sectional study with a sample of 314 nurses of two university hospitals from Seville. Nurses were surveyed in 2011, from March to June. We used the Font Roja questionnaire adapted to our study variables. We performed analyses of correlations, reliability and construct validity, using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to test the a priori model. The end questionnaire consists of 10 items, whose internal consistency was 0.75, with a percentage of variance explaining of 63.67%. CFA confirmed 4 dimensions (work environment, work relationships, motivation, and recognition): significant χ2 (p < .001); χ2/gl = 2.013; GFI= 0.958, RMR = 0.055 y RMSEA = 0.057; AGFI = 0.927, NFI = 0.878, TLI = 0.902, CFI =0.933 e IFI = 0.935; AIC = 132.486 y ECVI = 0.423. This new questionnaire (G_Clinic) improves clinimetric values of the Font Roja questionnaire, because it reduces the number of items, improves the reliability of the dimensions, increases the value of variance explained, and allows knowing job satisfaction of nurses in clinical managementt.