Background: Current human resources planning models in nursing are unreliable and ineffective as they consider volumes, but ignore effects on quality in patient care. The project RN4CAST aims innovative forecasting methods by addressing not only volumes, but quality of nursing staff as well as quality of patient care. Methods/Design: A multi-country, multilevel cross-sectional design is used to obtain important unmeasured factors in forecasting models including how features of hospital work environments impact on nurse recruitment, retention and patient outcomes. In each of the 12 participating European countries, at least 30 general acute hospitals were sampled. Data are gathered via four data sources (nurse, patient and organizational ...
Background: Most of previous studies aimed to estimate the effect of nurse staffing on quality of ac...
Objectives: To determine the association of hospital nursing skill mix with patient mortality, patie...
There is considerable evidence of an association between nurse staffing levels and patient outcomes....
Background: Current human resources planning models in nursing are unreliable and ineffective as the...
BACKGROUND: Current human resources planning models in nursing are unreliable and ineffective as the...
ABSTRACT: BACKGROUND: Current human resources planning models in nursing are unreliable and ineffect...
Background: Current human resources planning models in nursing are unreliable and ineffective as the...
Introduction: The RN4CAST - study (acronym for Nurse Forecasting in Europe) was launched in 2009 and...
The study was conducted as part of European RN4CAST project, with participation of 16 countries, inc...
Austerity measures and health-system redesign to minimise hospital expenditures risk adversely affec...
Objective: This study was designed to develop a model for predicting nurse scheduling needs in a hos...
The past two decades have witnessed a growing b ody of US research evidence supporting contentions ...
One substantial challenge facing healthcare systems worldwide is the aging population. Here in Switz...
SUMMARY: RN4CAST-Chile builds upon two decades of global nursing outcomes research and the successfu...
Background Austerity measures and health-system redesign to minimise hospital expenditures risk adv...
Background: Most of previous studies aimed to estimate the effect of nurse staffing on quality of ac...
Objectives: To determine the association of hospital nursing skill mix with patient mortality, patie...
There is considerable evidence of an association between nurse staffing levels and patient outcomes....
Background: Current human resources planning models in nursing are unreliable and ineffective as the...
BACKGROUND: Current human resources planning models in nursing are unreliable and ineffective as the...
ABSTRACT: BACKGROUND: Current human resources planning models in nursing are unreliable and ineffect...
Background: Current human resources planning models in nursing are unreliable and ineffective as the...
Introduction: The RN4CAST - study (acronym for Nurse Forecasting in Europe) was launched in 2009 and...
The study was conducted as part of European RN4CAST project, with participation of 16 countries, inc...
Austerity measures and health-system redesign to minimise hospital expenditures risk adversely affec...
Objective: This study was designed to develop a model for predicting nurse scheduling needs in a hos...
The past two decades have witnessed a growing b ody of US research evidence supporting contentions ...
One substantial challenge facing healthcare systems worldwide is the aging population. Here in Switz...
SUMMARY: RN4CAST-Chile builds upon two decades of global nursing outcomes research and the successfu...
Background Austerity measures and health-system redesign to minimise hospital expenditures risk adv...
Background: Most of previous studies aimed to estimate the effect of nurse staffing on quality of ac...
Objectives: To determine the association of hospital nursing skill mix with patient mortality, patie...
There is considerable evidence of an association between nurse staffing levels and patient outcomes....