Consensus Development Project (CDP): An overview of staffing for safe and effective nursing care.

We present an overview of the research evidence on nurse staffing levels in acute hospitals, and how it has been applied to policy and practice, focussing primarily on the UK. Drawing on research reviews and examples of specific studies, we outline the current state of knowledge. Much of the evidence comes from cross-sectional studies. More recently, longitudinal studies allow a causal link between staffing and outcomes to be inferred. Lack of specificity on staffing levels has hindered application of research findings to practice; research rarely specifies how many nurses are needed for safe and effective care. The most significant impediment to achieving safe staffing has been an underestimation of the number of RNs needed and overestimation of the potential for substitution, resulting in low baseline staffing and a national shortage of RNs. Repeatedly, new staffing solutions are sought rather than tackle the problem of too few RNs head-on.

Beyond ratios - flexible and resilient nurse staffing options to deliver cost-effective hospital care and address staff shortages: A simulation and economic modelling study.

BACKGROUND: In the face of pressure to contain costs and make best use of scarce nurses, flexible staff deployment (floating staff between units and temporary hires) guided by a patient classification system may appear an efficient approach to meeting variable demand for care in hospitals. OBJECTIVES: We modelled the cost-effectiveness of different approaches to planning baseline numbers of nurses to roster on general medical/surgical units while using flexible staff to respond to fluctuating demand. DESIGN AND SETTING: We developed an agent-based simulation, where hospital inpatient units move between being understaffed, adequately staffed or overstaffed as staff supply and demand (as measured by the Safer Nursing Care Tool patient classification system) varies. Staffing shortfalls are addressed by floating staff from overstaffed units or hiring temporary staff. We compared a standard staffing plan (baseline rosters set to match average demand) with a higher baseline 'resilient' plan set to match higher than average demand, and a low baseline 'flexible' plan. We varied assumptions about temporary staff availability and estimated the effect of unresolved low staffing on length of stay and death, calculating cost per life saved. RESULTS: Staffing plans with higher baseline rosters led to higher costs but improved outcomes. Cost savings from lower baseline staff mainly arose because shifts were left understaffed and much of the staff cost saving was offset by costs from longer patient stays. With limited temporary staff available, changing from low baseline flexible plan to the standard plan cost £13,117 per life saved and changing from the standard plan to the higher baseline 'resilient' plan cost £8,653 per life saved. Although adverse outcomes from low baseline staffing reduced when more temporary staff were available, higher baselines were even more cost-effective because the saving on staff costs also reduced. With unlimited temporary staff, changing from low baseline plan to the standard cost £4,520 per life saved and changing from the standard plan to the higher baseline cost £3,693 per life saved. CONCLUSION: Shift-by-shift measurement of patient demand can guide flexible staff deployment, but the baseline number of staff rostered must be sufficient. Higher baseline rosters are more resilient in the face of variation and appear cost-effective. Staffing plans that minimise the number of nurses rostered in advance are likely to harm patients because temporary staff may not be available at short notice. Such plans, which rely heavily on flexible deployments, do not represent an efficient or effective use of nurses. STUDY REGISTRATION: ISRCTN 12307968 Tweetable abstract: Economic simulation model of hospital units shows low baseline staff levels with high use of flexible staff are not cost-effective and don't solve nursing shortages.

Between a rock and a hard place: Registered nurses' accounts of their work situation in cancer care in Swedish acute care hospitals.

PURPOSE: Hospital organizational features related to registered nurses' (RNs') practice environment are often studied using quantitative measures. These are however unable to capture nuances of experiences of the practice environment from the perspective of individual RNs. The aim of this study is therefore to investigate individual RNs' experiences of their work situation in cancer care in Swedish acute care hospitals. METHODS: This study is based on a qualitative framework analysis of data derived from an open-ended question by 200 RNs working in specialized or general cancer care hospital units, who responded to the Swedish RN4CAST survey on nurse work environment. Antonovsky's salutogenic concepts "meaningfulness", "comprehensibility", and "manageability" were applied post-analysis to support interpretation of results. RESULTS: RNs describe a tension between expectations to uphold safe, high quality care, and working in an environment where they are unable to influence conditions for care delivery. A lacking sense of agency, on individual and collective levels, points to organizational factors impeding RNs' use of their competence in clinical decision-making and in governing practice within their professional scope. CONCLUSIONS: RNs in this study appear to experience work situations which, while often described as meaningful, generally appear neither comprehensible nor manageable. The lack of an individual and collective sense of agency found here could potentially erode RNs' sense of meaningfulness and readiness to invest in their work.

How many nurses do we need? A review and discussion of operational research techniques applied to nurse staffing.

Despite a long history of health services research that indicates that having sufficient nursing staff on hospital wards is critical for patient safety, and sustained interest in nurse staffing methods, there is a lack of agreement on how to determine safe staffing levels. For an alternative viewpoint, we look to a separate body of literature that makes use of operational research techniques for planning nurse staffing. Our goal is to provide examples of the use of operational research approaches applied to nurse staffing, and to discuss what they might add to traditional methods. The paper begins with a summary of traditional approaches to nurse staffing and their limitations. We explain some key operational research techniques and how they are relevant to different nurse staffing problems, based on examples from the operational research literature. We identify three key contributions of operational research techniques to these problems: "problem structuring", handling complexity and numerical experimentation. We conclude that decision-making about nurse staffing could be enhanced if operational research techniques were brought in to mainstream nurse staffing research. There are also opportunities for further research on a range of nurse staff planning aspects: skill mix, nursing work other than direct patient care, quantifying risks and benefits of staffing below or above a target level, and validating staffing methods in a range of hospitals.

Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal cohort study.

OBJECTIVE: To determine the association between daily levels of registered nurse (RN) and nursing assistant staffing and hospital mortality. DESIGN: This is a retrospective longitudinal observational study using routinely collected data. We used multilevel/hierarchical mixed-effects regression models to explore the association between patient outcomes and daily variation in RN and nursing assistant staffing, measured as hours per patient per day relative to ward mean. Analyses were controlled for ward and patient risk. PARTICIPANTS: 138 133 adult patients spending >1 days on general wards between 1 April 2012 and 31 March 2015. OUTCOMES: In-hospital deaths. RESULTS: Hospital mortality was 4.1%. The hazard of death was increased by 3% for every day a patient experienced RN staffing below ward mean (adjusted HR (aHR) 1.03, 95% CI 1.01 to 1.05). Relative to ward mean, each additional hour of RN care available over the first 5 days of a patient's stay was associated with 3% reduction in the hazard of death (aHR 0.97, 95% CI 0.94 to 1.0). Days where admissions per RN exceeded 125% of the ward mean were associated with an increased hazard of death (aHR 1.05, 95% CI 1.01 1.09). Although low nursing assistant staffing was associated with increases in mortality, high nursing assistant staffing was also associated with increased mortality. CONCLUSION: Lower RN staffing and higher levels of admissions per RN are associated with increased risk of death during an admission to hospital. These findings highlight the possible consequences of reduced nurse staffing and do not give support to policies that encourage the use of nursing assistants to compensate for shortages of RNs.

Post-operative mortality, missed care and nurse staffing in nine countries: A cross-sectional study.

BACKGROUND: Variation in post-operative mortality rates has been associated with differences in registered nurse staffing levels. When nurse staffing levels are lower there is also a higher incidence of necessary but missed nursing care. Missed nursing care may be a significant predictor of patient mortality following surgery. AIM: Examine if missed nursing care mediates the observed association between nurse staffing levels and mortality. METHOD: Data from the RN4CAST study (2009-2011) combined routinely collected data on 422,730 surgical patients from 300 general acute hospitals in 9 countries, with survey data from 26,516 registered nurses, to examine associations between nurses' staffing, missed care and 30-day in-patient mortality. Staffing and missed care measures were derived from the nurse survey. A generalized estimation approach was used to examine the relationship between first staffing, and then missed care, on mortality. Bayesian methods were used to test for mediation. RESULTS: Nurse staffing and missed nursing care were significantly associated with 30-day case-mix adjusted mortality. An increase in a nurse's workload by one patient and a 10% increase in the percent of missed nursing care were associated with a 7% (OR 1.068, 95% CI 1.031-1.106) and 16% (OR 1.159 95% CI 1.039-1.294) increase in the odds of a patient dying within 30days of admission respectively. Mediation analysis shows an association between nurse staffing and missed care and a subsequent association between missed care and mortality. CONCLUSION: Missed nursing care, which is highly related to nurse staffing, is associated with increased odds of patients dying in hospital following common surgical procedures. The analyses support the hypothesis that missed nursing care mediates the relationship between registered nurse staffing and risk of patient mortality. Measuring missed care may provide an 'early warning' indicator of higher risk for poor patient outcomes.

Nursing skill mix in European hospitals: cross-sectional study of the association with mortality, patient ratings, and quality of care.

OBJECTIVES: To determine the association of hospital nursing skill mix with patient mortality, patient ratings of their care and indicators of quality of care. DESIGN: Cross-sectional patient discharge data, hospital characteristics and nurse and patient survey data were merged and analysed using generalised estimating equations (GEE) and logistic regression models. SETTING: Adult acute care hospitals in Belgium, England, Finland, Ireland, Spain and Switzerland. PARTICIPANTS: Survey data were collected from 13 077 nurses in 243 hospitals, and 18 828 patients in 182 of the same hospitals in the six countries. Discharge data were obtained for 275 519 surgical patients in 188 of these hospitals. MAIN OUTCOME MEASURES: Patient mortality, patient ratings of care, care quality, patient safety, adverse events and nurse burnout and job dissatisfaction. RESULTS: Richer nurse skill mix (eg, every 10-point increase in the percentage of professional nurses among all nursing personnel) was associated with lower odds of mortality (OR=0.89), lower odds of low hospital ratings from patients (OR=0.90) and lower odds of reports of poor quality (OR=0.89), poor safety grades (OR=0.85) and other poor outcomes (0.80

A cross-sectional study of 'care left undone' on nursing shifts in hospitals.

AIMS: To determine factors associated with variation in 'care left undone' (also referred to as 'missed care') by Registered Nurses (RNs) in acute hospital wards in Sweden. BACKGROUND: 'Care left undone' has been examined as a factor mediating the relationship between nurse staffing and patient outcomes. The context has not previously been explored to determine what other factors are associated with variation in 'care left undone' by RNs. DESIGN: Cross-sectional survey to explore the association of RN staffing and contextual factors such as time of shift, nursing role and patient acuity/dependency on 'care left undone' was examined using multi-level logistic regression. METHODS: A survey of 10,174 RNs working on general medical and surgical wards in 79 acute care hospitals in Sweden (January-March 2010). RESULTS: Seventy-four per cent of nurses reported some care was left undone on their last shift. The time of shift, patient mix, nurses' role, practice environment and staffing have a significant relationship with care left undone. The odds of care being left undone is halved on shifts where RN care for six patients or fewer compared with shifts where they care for 10 or more. CONCLUSION: The previously observed relationship between RN staffing and care left undone is confirmed. Reports of care left undone are influenced by RN roles. Support worker staffing has little effect. Research is needed to identify how these factors relate to one another and whether care left undone is a predictor of adverse patient outcomes.

Patient satisfaction and non-UK educated nurses: a cross-sectional observational study of English National Health Service Hospitals.

OBJECTIVES: To examine whether patient satisfaction with nursing care in National Health Service (NHS) hospitals in England is associated with the proportion of non-UK educated nurses providing care. DESIGN: Cross-sectional analysis using data from the 2010 NHS Adult Inpatient Survey merged with data from nurse and hospital administrator surveys. Logistic regression models with corrections for clustering were used to determine whether the proportions of non-UK educated nurses were significantly related to patient satisfaction before and after taking account of other hospital, nursing and patient characteristics. SETTING: 31 English NHS trusts. PARTICIPANTS: 12,506 patients 16 years of age and older with at least one overnight stay that completed a satisfaction survey; 2962 bedside care nurses who completed a nurse survey; and 31 NHS trusts. MAIN OUTCOME MEASURE: Patient satisfaction. RESULTS: The percentage of non-UK educated nurses providing bedside hospital care, which ranged from 1% to 52% of nurses, was significantly associated with patient satisfaction. After controlling for potential confounding factors, each 10-point increase in the percentage of non-UK educated nurses diminished the odds of patients reporting good or excellent care by 12% (OR=0.88), and decreased the odds of patients agreeing that they always had confidence and trust in nurses by 13% (OR=0.87). Other indicators of patient satisfaction also revealed lower satisfaction in hospitals with higher percentages of non-UK educated nurses. CONCLUSIONS: Use of non-UK educated nurses in English NHS hospitals is associated with lower patient satisfaction. Importing nurses from abroad to substitute for domestically educated nurses may negatively impact quality of care.

'Care left undone' during nursing shifts: associations with workload and perceived quality of care.

BACKGROUND: There is strong evidence to show that lower nurse staffing levels in hospitals are associated with worse patient outcomes. One hypothesised mechanism is the omission of necessary nursing care caused by time pressure-'missed care'. AIM: To examine the nature and prevalence of care left undone by nurses in English National Health Service hospitals and to assess whether the number of missed care episodes is associated with nurse staffing levels and nurse ratings of the quality of nursing care and patient safety environment. METHODS: Cross-sectional survey of 2917 registered nurses working in 401 general medical/surgical wards in 46 general acute National Health Service hospitals in England. RESULTS: Most nurses (86%) reported that one or more care activity had been left undone due to lack of time on their last shift. Most frequently left undone were: comforting or talking with patients (66%), educating patients (52%) and developing/updating nursing care plans (47%). The number of patients per registered nurse was significantly associated with the incidence of 'missed care' (p<0.001). A mean of 7.8 activities per shift were left undone on wards that are rated as 'failing' on patient safety, compared with 2.4 where patient safety was rated as 'excellent' (p < 0.001). CONCLUSIONS: Nurses working in English hospitals report that care is frequently left undone. Care not being delivered may be the reason low nurse staffing levels adversely affects quality and safety. Hospitals could use a nurse-rated assessment of 'missed care' as an early warning measure to identify wards with inadequate nurse staffing.