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Socio-demographic analysis of free-lance nurses in a non-institutional employment regimen.

作者信息

Scerbo F, Rocco G, Stievano A, Vellone E, Maurici M, Cammarano A, Pulimeno A, Alvaro R

机构信息

Department of Biomedicine and Prevention, University Tor Vergata of Rome, Italy.

Center of Excellence for Nursing Scholarship, National College of Nurses Rome, Italy.

出版信息

Ann Ig. 2020 Nov-Dec;32(6):599-607. doi: 10.7416/ai.2020.2381.

DOI:10.7416/ai.2020.2381
PMID:33175071
Abstract

INTRODUCTION

The free-lance nurse, not bound to rigid organizational systems, can offer personalized assistance always respecting the rights of the person and of the profession. More recent graduates have decided to undertake the nursing profession by moving towards the free-lance nursing, considering it both as a career opening and as a professional opportunity, although this option never got much attention from the researchers in the Italian nursing scene. Free-lance nursing is now considered a valuable opportunity to develop a nursing career. This market is destined to grow for different reasons, such as an increasing chronicity of health conditions of more and more ageing population and the deficits of the National Health Service (Servizio Sanitario Nazionale - SSN) in community and home care.

AIM

The aim of the study was to evaluate the correlation between the development of the free-lance nursing and the Italian socio-economic context.

METHODS

The design of the study was descriptive - observational. Data collection and observation was carried out from January 2018 until April 2108. For the analysis a linear regression model was adopted to quantify a cause-effect relationship between one or more independent variables and the dependent variable which interprets the phenomenon investigated. The regression carried out was descriptive to analytically express the observed reality and represent it in a plausible way. The specification model was represented as: Free-lance nurses per capita = per capita income + Out of Pocket expense per capita + waiting lists in days + number of beds per inhabitants + NHS nurses per inhabitants.

RESULTS

The estimate carried out had an R of 0.813, R-square equal to 0.6612, adjusted R-square 0.540 and standard error of the estimate 1.277, highlighting a correlation between the variables adopted in the model and a p = 0.005. From the analysis of the variables used, the average per capita income (p = 0.045) and the nurses working in the National Health Service /1,000 beds (p = 0.017) were statistically significant.

CONCLUSIONS

It can be stated that the free-lance nursing profession is costly for patients and therefore develops more revenue where the average per capita income grows, but the research also seems to show that, where the National Health Service has too few nurses, the private demand increases in order to satisfy healthcare needs.

摘要

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