Progetto di Ricerca LARS (Laboratorio di Ricerca Infermieristica Agenzia Regionale alla Sanità, Friuli Venezia Giulia). Studio osservazionale sugli esiti dei modelli organizzativi assistenziali delle medicine, su infermieri, su pazienti ed organizzazione.

Palese, Alvisa and Lavia, Barbara and Bassan, Fabia and De Corti, Cinzia and Del Forno, Miria and Finos, Rosanna and Flaibani, Lidia and Mesaglio, Maura and Paroni, Roberto and Pellizzari, Mara and Piazza, Donatella and Zamolo, Maurizia and Roberto, Iuli and Saitto, Carlo and Clagnan, Elena and Busolini, Anna and Simon, Giorgio and Tosolini, Gino (2006) Progetto di Ricerca LARS (Laboratorio di Ricerca Infermieristica Agenzia Regionale alla Sanità, Friuli Venezia Giulia). Studio osservazionale sugli esiti dei modelli organizzativi assistenziali delle medicine, su infermieri, su pazienti ed organizzazione. Assistenza infermieristica e ricerca, 25 (2). pp. 118-122. ISSN 1592-5986

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Abstract

No large scale studies have been conducted in Italy to assess factors that influence hospital nurses’ satisfaction. Aims. To explore the relationship between participative organizative models and outcomes on nurses (work satisfaction, burnout, intention to stay), patients (satisfaction with quality of care) and organization (nurses turnover). Materials and methods. This multicentre regional study involves 20 acute medical wards and more than 500 nurses. Data on the organizative model adopted in the ward will be collected with an ad hoc questionnaire with scores from 7 (scarcelimited involvement of nurses in decision making) to 35 (nurses take decisions on the management of the ward). Nurses satisfaction with their work is measured with the Nursing Work Index Revised; burnout with the Maslack Burnout Inventory; patients satisfaction with the Experiences of Nursing Care Scale Newcastle Satisfaction with Nursing Scale. The outcomes considered for the organization will be turnover, absences from work, injuries. Resultats. The study is ongoing. The association of each outcome to the organizzative model will be explored. Multivariate regression model will be adjusted for casemix index of the previuos year. T test and chi square tests will be used and a p value of 0.05 will be considered significant.

Item Type: Article
Subjects: 600 Tecnologia - Scienze applicate > 610 Medicina e salute (Classificare qui la tecnologia dei servizi medici) > 614 Medicina legale; incidenza delle malattie; Medicina preventiva pubblica
Depositing User: Matteo Viola
Date Deposited: 18 Jun 2014 12:59
Last Modified: 18 Jun 2014 12:59
URI: http://eprints.bice.rm.cnr.it/id/eprint/9186

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