RESUMEN
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 surveys and via routinely collected hospital discharge data). All staff nurses of a random selection of medical and surgical units (at least 2 per hospital) were surveyed. The nurse survey has the purpose to measure the experiences of nurses on their job (e.g. job satisfaction, burnout) as well as to allow the creation of aggregated hospital level measures of staffing and working conditions. The patient survey is organized in a sub-sample of countries and hospitals using a one-day census approach to measure the patient experiences with medical and nursing care. In addition to conducting a patient survey, hospital discharge abstract datasets will be used to calculate additional patient outcomes like in-hospital mortality and failure-to-rescue. Via the organizational survey, information about the organizational profile (e.g. bed size, types of technology available, teaching status) is collected to control the analyses for institutional differences.This information will be linked via common identifiers and the relationships between different aspects of the nursing work environment and patient and nurse outcomes will be studied by using multilevel regression type analyses. These results will be used to simulate the impact of changing different aspects of the nursing work environment on quality of care and satisfaction of the nursing workforce. DISCUSSION: RN4CAST is one of the largest nurse workforce studies ever conducted in Europe, will add to accuracy of forecasting models and generate new approaches to more effective management of nursing resources in Europe.
RESUMEN
OBJECTIVE: To describe nurses' perception in relation to the quality of care and their work environment, as well as to describe their quality of sleep. To analyze the relationship between ward and work shift with nurses' perception of their work environment, sleep quality and day time drowsiness. METHODS: A multicentre, observational and descriptive study carried out between 2012-2014 in seven hospitals of the Spanish National Health System. Work environment, work satisfaction, sleep quality and quality of patient care were evaluated through validated tools. RESULTS: 635 registered nurses participated in the study. Eighty-three point seven percent perceived the quality of cares as good/excellent, and 55.1% rated the work environment of their hospital as good/excellent. PES-NWI classified 39% of hospitals as unfavourable and 20% as favourable. Fifteen point four percent of the nurses had a high level of burnout and 58.3% had low burnout. Sleep quality was 6.38 for nurses working on day shifts, 6.78 for the rotational shifts and 7.93 for night shifts. Significant differences were found between subjective sleep quality score, sleep duration, sleep disturbances and daytime dysfunction. CONCLUSIONS: In the provision of quality care services, there is a multitude of related factors such as shift, ward, satisfaction, and nurses' perceptions of patient safety and sleep quality.