Evidence of the Association between Nurse Staffing Levels and Patient and Nurses’ Outcomes in Acute Care Hospitals across Japan: A Scoping Review (original) (raw)
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The relationship between nurse staffing and patient outcomes: A case study
International Journal of Nursing Studies, 2009
Background: Research has shown a direct relationship between staffing levels and patient outcomes for specific nurse-sensitive indicators, with lower patient to nurse ratios (i.e. less patients per nurse) associated with better outcomes. Objectives: To explore the relationship between nurse staffing characteristics (the nursing hours worked by permanent and temporary staff and nurse hours per patient day) and patient outcomes: pressure sores, patient falls, upper gastrointestinal bleed, pneumonia, sepsis, shock and deep vein thrombosis. Design: A case study using retrospective hospital data, at ward level. Setting: A tertiary cardio-respiratory NHS Trust in England, comprising two hospitals. Participants: All patients, including day cases, who were admitted to either hospital as an in-patient over 12 months. Methods: Data were extracted from corporate hospital systems. The clinical areas were categorised as lower dependency, i.e. wards, or critical care which included ICU and high dependency units. The relationship between nurse staffing characteristics and patient outcomes was assessed using either a Poisson or negative binomial regression model as appropriate. We sought to establish whether the outcomes were affected by the nurse hours per patient day, the permanent nurse hours worked as a percentage of the total hours, and the permanent nurse hours worked as a percentage of the permanent and bank hours combined. Results: In the lower dependency category wards there was only a weak association demonstrated between nurse staffing and the majority of the outcomes. The results from the high dependency critical care areas showed few significant results with only the rate of sepsis being significantly reduced as the ratio of permanent staff hours increased. Conclusions: The study demonstrated the possibility of using existing hospital data to examine the relationship between nurse staffing and patient outcomes, however the associations found were weak and did not replicate reliably the findings from previous work.
International journal of …, 2009
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. #
Nurse staffing, quality of nursing care and nurse job outcomes in intensive care units
Journal of Clinical Nursing, 2009
Aim. To examine the relationship between nurse staffing and nurse-rated quality of nursing care and job outcomes.Background. Nurse staffing has been reported to influence patient and nurse outcomes.Design. A cross-sectional study with a survey conducted August–October 2007.Methods. The survey included 1365 nurses from 65 intensive care units in 22 hospitals in Korea. Staffing was measured using two indicators: the number of patients per nurse measured at the unit level and perception of staffing adequacy at the nurse level. Quality of care and job dissatisfaction were measured with a four-point scale and burnout measured by the Maslach Burnout Inventory. Multilevel logistic regression models were used to determine the relationships between staffing and quality of care and job outcomes.Results. The average patient-to-nurse ratio was 2·8 patients per nurse. A fifth of nurses perceived that there were enough nurses to provide quality care, one third were dissatisfied, half were highly burnt out and a quarter planned to leave in the next year. Nurses were more likely to rate quality of care as high when they cared for two or fewer patients (odds ratio, 3·26; 95% confidence interval, 1·14–9·31) or 2·0–2·5 patients (odds ratio, 2·44; 95% confidence interval, 1·32–4·52), compared with having more than three patients. Perceived adequate staffing was related to a threefold increase (odds ratio, 2·97; 95% confidence interval, 2·22–3·97) in the odds of nurses’ rating high quality and decreases in the odds of dissatisfaction (odds ratio, 0·30; 95% confidence interval, 0·23–0·40), burnout (odds ratio, 0·50; 95% confidence interval, 0·34–0·73) and plan to leave (odds ratio, 0·40; 95% confidence interval, 0·28–0·56).Conclusions. Nurse staffing was associated with quality of care and job outcomes in the context of Korean intensive care units.Relevance to clinical practice. Adequate staffing must be assured to achieve better quality of care and job outcomes.
Journal of Nursing Scholarship, 2007
of a purposively-selected expert panel from 10 countries consisting of 24 researchers specializing in nurse staffing and quality of health care and 8 nurse administrators. Methods: Each participant was sent by e-mail an up-to-date review of all evidence related to 39 patient-outcome, 14 nurse-staffing and 31 background variables and asked to rate the importance/usefulness of each variable for research on nurse staffing and patient outcomes.
A Longitudinal Examination of Hospital Registered Nurse Staffing and Quality of Care
Health Services Research, 2004
Objective. To evaluate previous research findings of the relationship between nurse staffing and quality of care by examining the effects of change in registered nurse staffing on change in quality of care. Data Sources/Study Setting. Secondary data from the American Hospital Association (AHA)(nurse staffing, hospital characteristics), InterStudy and Area Resource Files (ARF) (market characteristics), Centers for Medicare and Medicaid Services (CMS) (financial performance), and Healthcare Cost and Utilization Project (HCUP) (quality measures--in-hospital mortality ratio and the complication ratios for decubitus ulcers, pneumonia, and urinary tract infection, which were risk-adjusted using the Medstat s disease staging algorithm). Study Design. Data from a longitudinal cohort of 422 hospitals were analyzed from 1990-1995 to examine the relationships between nurse staffing and quality of care. Data Collection/Extraction Methods. A generalized method of moments estimator for dynamic panel data was used to analyze the data. Principal Findings. Increasing registered nurse staffing had a diminishing marginal effect on reducing mortality ratio, but had no consistent effect on any of the complications. Selected hospital characteristics, market characteristics, and financial performance had other independent effects on quality measures. Conclusions. The findings provide limited support for the prevailing notion that improving registered nurse (RN) staffing unconditionally improves quality of care.
International Journal of Nursing Studies, 2021
Background: Worldwide, hospitals face pressure to reduce costs. Some respond by working with a reduced number of nurses or less qualified nursing staff. Objective: This study aims at examining the relationship between mortality and patient exposure to shifts with low or high nurse staffing. Methods: This longitudinal study used routine shift-, unit-, and patient-level data for three years (2015-2017) from one Swiss university hospital. Data from 55 units, 79,893 adult inpatients and 3646 nurses (2670 registered nurses, 438 licensed practical nurses, and 538 unlicensed and administrative personnel) were analyzed. After developing a staffing model to identify high-and low-staffed shifts, we fitted logistic regression models to explore associations between nurse staffing and mortality. Results: Exposure to shifts with high levels of registered nurses had lower odds of mortality by 8.7% [odds ratio 0.91 95% CI 0.89-0.93]. Conversely, low staffing was associated with higher odds of mortality by 10% [odds ratio 1.10 95% CI 1.07-1.13]. The associations between mortality and staffing by other groups was less clear. For example, both high and low staffing of unlicensed and administrative personnel were associated with higher mortality, respectively 1.03 [95% CI 1.01-1.04] and 1.04 [95% CI 1.03-1.06]. Discussion and implications: This patient-level longitudinal study suggests a relationship between registered nurses staffing levels and mortality. Higher levels of registered nurses positively impact patient outcome (i.e. lower odds of mortality) and lower levels negatively (i.e. higher odds of mortality). Contributions of the three other groups to patient safety is unclear from these results. Therefore, substitution of either group for registered nurses is not recommended.
Do nurse staffing levels affect patient mortality in acute secondary care?
British Journal of Nursing, 2017
This systematic literature review explores and considers whether registered nurse staffing levels affect patient mortality in acute secondary care settings. A discussion makes particular reference to the philosophical foundations of contrasting research approaches used within the literature. At the time of writing, the author was a modern matron for surgery, managing the ear, nose and throat; head and neck; airway; and reconstructive plastic surgery services in a large acute teaching hospital in central London. Effective management and leadership of acute clinical areas requires appropriate nurse:patient ratios. In practice settings, patient to staff ratios are based on care being provided by highly skilled and competent nurses providing best-quality, evidence-based practice.