Sean Clarke

Abstract

Aim. The aim of the study was to investigate relationships between nurse practice environment, burnout, job outcomes and nurse-assessed quality of care. Background. A growing line of work confirms that, in countries with distinctly different healthcare systems, nurses report similar shortcomings in their work environments and the quality of care in hospitals. Neither the specific work environment factors most involved in dissatisfaction, burnout and other negative job outcomes, and patient outcomes, nor the mechanisms tying nurse job outcomes to quality of care are well understood. Method. A Nurse Practice Environment and Outcome causal structure involving pathways between practice environment dimensions and outcome variables with components of burnout in a mediating position was developed. Survey data from 401 staff nurses across 31 units in two hospitals (including the Revised Nursing Work Index, the Maslach Burnout Inventory, and job outcome and nurse-assessed quality of care variables) were used to test this model using structural equation modelling techniques. The data were collected from December 2006 to January 2007. Results. Goodness of fit statistics confirmed an improved model with burnout dimensions in mediating positions between nurse practice environment dimensions and both job outcomes and nurse-assessed quality of care, explaining 20% and 46% of variation in these two indicators, respectively. Conclusion. These findings suggest that hospital organizational properties, including nurse-physician relations, are related to quality of care assessments, and to the outcomes of job satisfaction and turnover intentions, with burnout dimensions appearing to play mediating roles. Additionally, a direct relationship between assessments of care quality and management at the unit level was observed.

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Background: In the Rationing of Nursing Care in Switzerland Study, implicit rationing of care was the only factor consistently significantly associated with all six studied patient outcomes. These results highlight the importance of rationing as a new system factor regarding patient safety and quality of care. Since at least some rationing of care appears inevitable, it is important to identify the thresholds of its influences in order to minimize its negative effects on patient outcomes. Objectives: To describe the levels of implicit rationing of nursing care in a sample of Swiss acute care hospitals and to identify clinically meaningful thresholds of rationing. Design: Descriptive cross-sectional multi-center study. Settings: Five Swiss-German and three Swiss-French acute care hospitals. Participants: 1338 nurses and 779 patients. Methods: Implicit rationing of nursing care was measured using the newly developed Basel Extent of Rationing of Nursing Care (BERNCA) instrument. Other variables were measured using survey items from the International Hospital Outcomes Study battery. Data were summarized using appropriate descriptive measures, and logistic regression models were used to define a clinically meaningful rationing threshold level. Results: For the studied patient outcomes, identified rationing threshold levels varied from 0.5 (i.e., between 0 ('never') and 1 ('rarely') to 2 ('sometimes')). Three of the identified patient outcomes (nosocomial infections, pressure ulcers, and patient satisfaction) were particularly sensitive to rationing, showing negative consequences anywhere it was consistently reported (i.e., average BERNCA scores of 0.5 or above). In other cases, increases in negative outcomes were first observed from the level of 1 (average ratings of rarely). Conclusions: Rationing scores generated using the BERNCA instrument provide a clinically meaningful method for tracking the correlates of low resources or difficulties in resource allocation on patient outcomes. Thresholds identified here provide parameters for administrators to respond to whenever rationing reports exceed the determined level of '0.5' or '1'. Since even very low levels of rationing had negative consequences on three of the six studied outcomes, it is advisable to treat consistent evidence of any rationing as a significant threat to patient safety and quality of care.

Abstract

Background: Studies have linked nurse staffing levels (number and skill mix) to several nurse-sensitive patient outcomes. However, evidence from European countries has been limited. Objectives: This study examines the association between nurse staffing levels (i.e. acuity-adjusted Nursing Hours per Patient Day, the proportion of registered nurses with a Bachelor's degree) and 10 different patient outcomes potentially sensitive to nursing care. Design-setting-participants: Cross-sectional analyses of linked data from the Belgian Nursing Minimum Dataset (general acute care and intensive care nursing units: n = 1403) and Belgian Hospital Discharge Dataset (general, orthopedic and vascular surgery patients: n = 260,923) of the year 2003 from all acute hospitals (n = 115). Methods: Logistic regression analyses, estimated by using a Generalized Estimation Equation Model, were used to study the association between nurse staffing and patient outcomes. Results: The mean acuity-adjusted Nursing Hours per Patient Day in Belgian hospitals was 2.62 (S.D. = 0.29). The variability in patient outcome rates between hospitals is considerable. The inter-quartile ranges for the 10 patient outcomes go from 0.35 for Deep Venous Thrombosis to 3.77 for failure-to-rescue. No significant association was found between the acuity-adjusted Nursing Hours per Patient Day, proportion of registered nurses with a Bachelor's degree and the selected patient outcomes. Conclusion: The absence of associations between hospital-level nurse staffing measures and patient outcomes should not be inferred as implying that nurse staffing does not have an impact on patient outcomes in Belgian hospitals. To better understand the dynamics of the nurse staffing and patient outcomes relationship in acute hospitals, further analyses (i.e. nursing unit level analyses) of these and other outcomes are recommended, in addition to inclusion of other study variables, including data about nursing practice environments in hospitals.

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Abstract

In light of evidence linking registered nurse (RN) staffing levels to patient outcomes in chronic hemodialysis facilities, U.S. government regulations have set minimum RN staffing requirements during dialysis. Consequently, facility administrators are focused on decreasing nurse attrition in this crucial practice setting. This study used a cross-sectional, correlational design to investigate the effects of workload, practice environment, and care processes on burnout among nurses in U.S. chronic hemodialysis centers and to determine the association between burnout and nurses' intentions to leave their jobs. Findings indicate that predictors were associated with an increased likelihood of nurse burnout and that nurses experiencing burnout were more likely to be planning to leave their jobs. Findings have important implications for retention of nurses, enhancement of patient safety, and adherence to new federal staffing requirements in chronic hemodialysis units.

Abstract

Aim: To study the relationship between nurse work environment, job outcomes and nurse-assessed quality of care in the Belgian context. Background: Work environment characteristics are important for attracting and retaining professional nurses in hospitals. The Revised Nursing Work Index (NWI-R) was originally designed to describe the professional nurse work environment in U.S. Magnet Hospitals and subsequently has been extensively used in research internationally. Method: The NWI-R was translated into Dutch to measure the nurse work environment in 155 nurses across 13 units in three Belgian hospitals. Factor analysis was used to identify a set of coherent subscales. The relationship between work environments and job outcomes and nurse-assessed quality of care was investigated using logistic and linear regression analyses. Results: Three reliable, consistent and meaningful subscales of the NWI-R were identified: nurse-physician relations, nurse management at the unit level and hospital management and organizational support. All three subscales had significant associations with several outcome variables. Nurse-physician relations had a significant positive association with nurse job satisfaction, intention to stay the hospital, the nurse-assessed unit level quality of care and personal accomplishment. Nurse management at the unit level had a significant positive association with the nurse job satisfaction, nurse-assessed quality of care on the unit and in the hospital, and personal accomplishment. Hospital management and organizational support had a significant positive association with the nurse-assessed quality of care in the hospital and personal accomplishment. Higher ratings of nurse-physician relations and nurse management at the unit level had significant negative associations with both the Maslach Burnout Inventory emotional exhaustion and depersonalization dimensions, whereas hospital management and organizational support was inversely associated only with depersonalization scores. Conclusion: A Dutch version of the NWI-R questionnaire produced comparable subscales to those found by many other researchers internationally. The resulting measures of the professional practice environment in Belgian hospitals showed expected relationships with nurse self-reports of job outcomes and perceptions of hospital quality.

Abstract

Background: In most multicenter studies that examine the relationship between nurse staffing and patient safety, nurse-staffing levels are measured per hospital. This can obscure relationships between staffing and outcomes at the unit level and lead to invalid inferences. Objective: In the present study, we examined the association between nurse-staffing levels in nursing units that treat postoperative cardiac surgery patients and the in-hospital mortality of these patients. Design-setting-participants: We illustrated our approach by using administrative databases (Year 2003) representing all Belgian cardiac centers (n = 28), which included data from 58 intensive care and 75 general nursing units and 9054 patients. Methods: We used multilevel logistic regression models and controlled for differences in patient characteristics, nursing care intensity, and cardiac procedural volume. Results: Increased nurse staffing in postoperative general nursing units was significantly associated with decreased mortality. Nurse staffing in postoperative intensive care units was not significantly associated with in-hospital mortality possibly due to lack of variation in ICU staffing across hospitals. Conclusion: This study, together with the international body of evidence, suggests that nurse staffing is one of several variables influencing patient safety. These findings further suggest the need to study the impact of nurse-staffing levels on in-hospital mortality using nursing-unit-level specific data.

Abstract

Conducting research on nurse staffing and outcomes is very challenging, and the application of staffing-outcomes research in practice is both fraught with controversy and vitally important for the safety of our patients and the future of the profession. As I stand back and think about being involved in staffing-outcomes research for nearly a decade and sharing many of my thoughts about this rapidly growing literature in reviews and commentaries in print, certain metaphors for trends in this field come to mind. I won't claim originality for the insights that follow or attempt to thoroughly trace the genealogy of the stories and metaphors here, but offer them to provide what I hope is a fresh perspective to material that I and many of my colleagues have visited and revisited on numerous occasions.

Abstract

Pay-for-performance (P4P) initiatives attempt to drive quality of care by aligning desired care processes and outcomes with reimbursement. P4P schemes have emerged at a time of great concern about safety and quality in health care and in the face of a growing nurse shortage. This article discusses the state of the literature linking structures for providing nursing care, measures of process heavily favored in P4P initiatives, and patient outcomes and outlines how P4P is expected to affect nursing practice. It also presents directions for managing practice settings to cope with P4P and for steering nursing's involvement in this area of health policy. As implementation broadens, it remains to be seen whether unintended consequences emerge or whether nurses are successful in using the programs and the data sets that result from them to justify investments in nursing services and solidify the profession's position.

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