Alternative Models of Nurse Staffing May Be Dangerous in High-Stakes Hospital Care.

BACKGROUND: Hospitals are resurrecting the outdated "team nursing" model of staffing that substitutes lower-wage staff for registered nurses (RNs). OBJECTIVES: To evaluate whether reducing the proportion of RNs to total nursing staff in hospitals is in the best interest of patients, hospitals, and payers. RESEARCH DESIGN: Cross-sectional, retrospective. SUBJECTS: In all, 6,559,704 Medicare patients in 2676 general acute-care US hospitals in 2019. MEASURES: Patient outcomes: in-hospital and 30-day mortality, 30-day readmission, length of stay, and patient satisfaction. Avoidable Medicare costs associated with readmissions and cost savings to hospitals associated with shorter stays are projected. RESULTS: A 10 percentage-point reduction in RNs was associated with 7% higher odds of in-hospital death, 1% higher odds of readmission, 2% increase in expected days, and lower patient satisfaction. We estimate a 10 percentage-point reduction in RNs would result in 10,947 avoidable deaths annually and 5207 avoidable readmissions, which translates into roughly $68.5 million in additional Medicare costs. Hospitals would forgo nearly $3 billion in cost savings annually because of patients requiring longer stays. CONCLUSIONS: Reducing the proportion of RNs in hospitals, even when total nursing personnel hours are kept the same, is likely to result in significant avoidable patient deaths, readmissions, longer lengths of stay, and decreased patient satisfaction, in addition to excess Medicare costs and forgone cost savings to hospitals. Estimates represent only a 10 percentage-point dilution in skill mix; however, the team nursing model includes much larger reductions of 40-50 percentage-points-the human and economic consequences of which could be substantial.

Nurse-sensitive quality and benchmarking in hospitals striving for Magnet® or Pathway® designation: A qualitative study.

AIM: To examine if and how selected German hospitals use nurse-sensitive clinical indicators and perspectives on national/international benchmarking. DESIGN: Qualitative study. METHODS: In 2020, 18 expert interviews were conducted with key informants from five purposively selected hospitals, being the first in Germany implementing Magnet® or Pathway®. Interviews were analyzed using content analysis with deductive-inductive coding. The study followed the COREQ guideline. RESULTS: Three major themes emerged: first, limited pre-existence of and necessity for nurse-sensitive data. Although most interviewees reported data collection for hospital-acquired pressure ulcers and falls with injuries, implementation varied and interviewees highlighted the necessity to develop additional nurse-sensitive indicators for the German context. Second, the theme creating an enabling data environment comprised building clinicians' acceptance, establishing a data culture, and reducing workload by using electronic health records. Third, challenges and opportunities in establishing benchmarking were identified but most interviewees called for a national or European benchmarking system. CONCLUSION: The need for further development of nurse-sensitive clinical indicators and its implementation in practice was highlighted. Several actions were suggested at hospital level to establish an enabling data environment in clinical care, including a nationwide or European benchmarking system. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: Involving nurses in data collection, comparison and benchmarking of nurse-sensitive indicators and their use in practice can improve quality of patient care. IMPACT: Nurse-sensitive indicators were rarely collected, and a need for action was identified. The study results show research needs on nurse-sensitive indicators for Germany and Europe. Measures were identified to create an enabling data environment in hospitals. An initiative was started in Germany to establish a nurse-sensitive benchmarking capacity. PATIENT OR PUBLIC CONTRIBUTION: Clinical practitioners and nurse/clinical managers were interviewed.

Validation of a short form of the practice environment scale of the nursing work index: The PES-5.

The Practice Environment Scale of the Nursing Work Index (PES-NWI) has been utilized for two decades globally to measure nurse work environments. Its 31 items in five domains present a substantial respondent burden, threatening survey response rates. The purpose of this study was to derive and validate a short form: the PES-5. We conducted a cross-sectional, secondary analysis of survey data from nurses in 760 hospitals in six U.S. states in 2016 or 2019. One representative item per subscale was selected by highest item-to-subscale R2 from the original PES-NWI publication. Five psychometric properties of the PES-5 were evaluated. The reproduced structure of the full form was confirmed in the 2016 data by the highest R2 for the selected items. The unidimensional structure of the PES-5 was confirmed through confirmatory factor analysis. The correlation between the composite values of the 28-item and 5-item versions was 0.94. The Cronbach's alpha reliability of the PES-5 was >0.80. The intraclass correlation coefficient (ICC 1, k), which evaluates the stability of aggregated values when data are clustered, i.e., nurses are nested within hospitals, was >0.80 in both datasets, demonstrating satisfactory aggregate properties. Construct validity was supported by the selected items being ranked highly in their respective subscales by an expert panel. Criterion validity was supported by an analysis of variance of the PES-5 mean value across responses to a single-item work environment measure. Similar patterns of relationships with other key variables were identified by statistically significant odds ratios in regression models predicting patient mortality from the PES-5. The classification accuracy of the PES-5 was high, with 88% of hospitals classified identically by both versions. The PES-5 shows promise for measurement of nurses' work environments while maximizing response rate by reducing participant burden.

Emergency Nurses' Well-Being in Magnet Hospitals and Recommendations for Improvements in Work Environments: A Multicenter Cross-Sectional Observational Study.

INTRODUCTION: This study aimed to determine the well-being outcomes and quality of work environment among emergency nurses compared with inpatient nurses working in Magnet hospitals and identify recommendations in emergency department work environments that hold promise for enhancing emergency nurses' well-being. METHODS: This is a cross-sectional analysis of multicenter survey data collected in 2021 from 11,743 nurses practicing in 60 United States Magnet hospitals. Nurses report on burnout, job dissatisfaction, intent to leave, work environment, and recommendations to improve well-being. RESULTS: Emergency nurses are significantly more likely to report high burnout (P = .04), job dissatisfaction (P < .001), and intent to leave (P < .001) than inpatient nurses working in the same Magnet hospitals. Emergency nurses are significantly more likely to report insufficient staffing (P = .001), an unfavorable work environment (P < .001), and lack confidence that management will act to resolve problems in patient care (P < .001) but did report significantly better working relationships with physicians (P < .001) than their inpatient counterparts. The 2 greatest recommendations to improve well-being included improving nurse staffing (91.4%) and the ability to take uninterrupted breaks (86.7%); the lowest-ranked recommendations were employing more advanced practice providers (25.9%) and appointing a wellness champion (21.2%). DISCUSSION: High burnout and other adverse nurse outcomes are common among emergency nurses in Magnet hospitals. Modifiable features of ED work environments including inadequate nurse staffing, inability of nurses to take uninterrupted breaks, and lack of responsiveness of management to persistent problems in patient care warrant high priority attention by Magnet hospital leaders.

Nurse Work Environment and Hospital-Onset Clostridioides difficile Infection.

BACKGROUND: Clostridioides difficile is the leading cause of hospital-onset diarrhea and is associated with increased lengths of stay and mortality. While some hospitals have successfully reduced the burden of C. difficile infection (CDI), many still struggle to reduce hospital-onset CDI. Nurses-because of their close proximity to patients-are an important resource in the prevention of hospital-onset CDI. OBJECTIVE: Determine whether there is an association between the nurse work environment and hospital-onset CDI. METHODS: Survey data of 2016 were available from 15,982 nurses employed in 353 acute care hospitals. These data, aggregated to the hospital level, provided measures of the nurse work environments. They were merged with 2016 hospital-onset CDI data from Hospital Compare, which provided our outcome measure-whether a hospital had a standardized infection ratio (SIR) above or below the national average SIR. Hospitals above the average SIR had more infections than predicted when compared to the national average. RESULTS: In all, 188 hospitals (53%) had SIRs higher than the national average. The odds of hospitals having higher than average SIRs were significantly lower, with odds ratios ranging from 0.35 to 0.45, in hospitals in the highest quartile for all four nurse work environment subscales (managerial support, nurse participation in hospital governance, physician-nurse relations, and adequate staffing) than in hospitals in the lowest quartile. CONCLUSIONS: Findings show an association between the work environment of nurses and hospital-onset CDI. A promising strategy to lower hospital-onset CDI and other infections is a serious and sustained commitment by hospital leaders to significantly improve nurse work environments.

Association between the nurse work environment and patient experience in Chilean hospitals: A multi-hospital cross-sectional study.

INTRODUCTION: International evidence shows that nurses' work environments affect patient outcomes, including their care experiences. In Chile, several factors negatively affect the work environment, but they have not been addressed in prior research. The aim of this study was to measure the quality of the nurse work environment in Chilean hospitals and its association with patient experience. DESIGN: A cross-sectional study of 40 adult general high-complexity hospitals across Chile. METHODS: Participants included bedside nurses (n = 1632) and patients (n = 2017) in medical or surgical wards, who responded to a survey. The work environment was measured through the Practice Environment Scale of the Nursing Work Index. Hospitals were categorized as having a good or poor work environment. A set of patient experience outcomes were measured through the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. Adjusted logistic regression models were used to test associations between the environment and patient experiences. RESULTS: For all outcomes, the percentage of patients satisfied was higher in hospitals with good as compared to poor work environments. In good environment hospitals patients had significantly higher odds of being satisfied with communication with nurses (OR 1.46, 95% CI: 1.10-1.94, p = 0.010), with pain control (OR 1.52, 95% CI: 1.14-2.02, p = 0.004), and with nurses' timely responses in helping them to go to the bathroom (OR 2.17, 95% CI: 1.49-3.16, p < 0.0001). CONCLUSIONS: Hospitals with good environments outperform hospitals with poor environments in most patient care experience indicators. Efforts to improve nurses' work environment hold promise for improving patient experiences in Chilean hospitals. CLINICAL RELEVANCE: Hospital administrators and nurse managers should value, especially in the context of financial constraints and understaffing, the implementation of strategies to improve the quality of nurses´ work environments so that they can provide patients with a better care experience.

A repeated cross-sectional study of nurses immediately before and during the COVID-19 pandemic: Implications for action.

BACKGROUND: The shortage of nursing care in US hospitals has become a national concern. PURPOSE: The purpose of this manuscript was to determine whether hospital nursing care shortages are primarily due to the pandemic and thus likely to subside or due to hospital nurse understaffing and poor working conditions that predated it. METHODS: This study used a repeated cross-sectional design before and during the pandemic of 151,335 registered nurses in New York and Illinois, and a subset of 40,674 staff nurses employed in 357 hospitals. FINDINGS: No evidence was found that large numbers of nurses left health care or hospital practice in the first 18 months of the pandemic. Nurses working in hospitals with better nurse staffing and more favorable work environments prior to the pandemic reported significantly better outcomes during the pandemic. DISCUSSION: Policies that prevent chronic hospital nurse understaffing have the greatest potential to stabilize the hospital nurse workforce at levels supporting good care and clinician wellbeing.

Effects of nurse-to-patient ratio legislation on nurse staffing and patient mortality, readmissions, and length of stay: a prospective study in a panel of hospitals.

BACKGROUND: Substantial evidence indicates that patient outcomes are more favourable in hospitals with better nurse staffing. One policy designed to achieve better staffing is minimum nurse-to-patient ratio mandates, but such policies have rarely been implemented or evaluated. In 2016, Queensland (Australia) implemented minimum nurse-to-patient ratios in selected hospitals. We aimed to assess the effects of this policy on staffing levels and patient outcomes and whether both were associated. METHODS: For this prospective panel study, we compared Queensland hospitals subject to the ratio policy (27 intervention hospitals) and those that discharged similar patients but were not subject to ratios (28 comparison hospitals) at two timepoints: before implementation of ratios (baseline) and 2 years after implementation (post-implementation). We used standardised Queensland Hospital Admitted Patient Data, linked with death records, to obtain data on patient characteristics and outcomes (30-day mortality, 7-day readmissions, and length of stay [LOS]) for medical-surgical patients and survey data from 17 010 medical-surgical nurses in the study hospitals before and after policy implementation. Survey data from nurses were used to measure nurse staffing and, after linking with standardised patient data, to estimate the differential change in outcomes between patients in intervention and comparison hospitals, and determine whether nurse staffing changes were related to it. FINDINGS: We included 231 902 patients (142 986 in intervention hospitals and 88 916 in comparison hospitals) assessed at baseline (2016) and 257 253 patients (160 167 in intervention hospitals and 97 086 in comparison hospitals) assessed in the post-implementation period (2018). After implementation, mortality rates were not significantly higher than at baseline in comparison hospitals (adjusted odds ratio [OR] 1·07, 95% CI 0·97-1·17, p=0·18), but were significantly lower than at baseline in intervention hospitals (0·89, 0·84-0·95, p=0·0003). From baseline to post-implementation, readmissions increased in comparison hospitals (1·06, 1·01-1·12, p=0·015), but not in intervention hospitals (1·00, 0·95-1·04, p=0·92). Although LOS decreased in both groups post-implementation, the reduction was more pronounced in intervention hospitals than in comparison hospitals (adjusted incident rate ratio [IRR] 0·95, 95% CI 0·92-0·99, p=0·010). Staffing changed in hospitals from baseline to post-implementation: of the 36 hospitals with reliable staffing measures, 30 (83%) had more than 4·5 patients per nurse at baseline, with the number decreasing to 21 (58%) post-implementation. The majority of change was at intervention hospitals, and staffing improvements by one patient per nurse produced reductions in mortality (OR 0·93, 95% CI 0·86-0·99, p=0·045), readmissions (0·93, 0·89-0·97, p<0·0001), and LOS (IRR 0·97, 0·94-0·99, p=0·035). In addition to producing better outcomes, the costs avoided due to fewer readmissions and shorter LOS were more than twice the cost of the additional nurse staffing. INTERPRETATION: Minimum nurse-to-patient ratio policies are a feasible approach to improve nurse staffing and patient outcomes with good return on investment. FUNDING: Queensland Health, National Institutes of Health, National Institute of Nursing Research.

Racial Disparities in Stroke Readmissions Reduced in Hospitals With Better Nurse Staffing.

BACKGROUND: Racial minorities are disproportionately affected by stroke, with Black patients experiencing worse poststroke outcomes than White patients. A modifiable aspect of acute stroke care delivery not yet examined is whether disparities in stroke outcomes are related to hospital nurse staffing levels. OBJECTIVES: The aim of this study was to determine whether 7- and 30-day readmission disparities between Black and White patients were associated with nurse staffing levels. METHODS: We conducted a secondary analysis of 542 hospitals in four states. Risk-adjusted, logistic regression models were used to determine the association of nurse staffing with 7- and 30-day all-cause readmissions for Black and White ischemic stroke patients. RESULTS: Our sample included 98,150 ischemic stroke patients (87% White, 13% Black). Thirty-day readmission rates were 10.4% (12.7% for Black patients, 10.0% for White patients). In models accounting for hospital and patient characteristics, the odds of 30-day readmissions were higher for Black than White patients. A significant interaction was found between race and nurse staffing, with Black patients experiencing higher odds of 30- and 7-day readmissions for each additional patient cared for by a nurse. In the best-staffed hospitals (less than three patients per nurse), Black and White stroke patients' disparities were no longer significant. DISCUSSION: Disparities in readmissions between Black and White stroke patients may be linked to the level of nurse staffing in the hospitals where they receive care. Tailoring nurse staffing levels to meet the needs of Black ischemic stroke patients represents a promising intervention to address systemic inequities linked to readmission disparities among minority stroke patients.

Hospital work environment, nurse staffing and missed care in Chile: A cross-sectional observational study.

AIMS AND OBJECTIVES: To characterise the problem of missed nursing care in Chilean hospitals and to test associations with hospital organisational variables. BACKGROUND: Missed nursing care is a common problem in different countries, but it has not been studied in Chile. DESIGN: Multihospital cross-sectional study (Supplementary file 1: STROBE guideline). METHODS: Study population of 45 adult high-complexity hospitals and 1853 registered nurses (RN) working on medical-surgical units. Primary data were collected through a nurse survey. Nurses reported, out of a list of nursing care activities, the ones left undone during their last shift. The main independent variables were the work environment, measured through the Practice Environment Scale of the Nursing Work Index, patient-to-nurse ratios and RN skillmix. Adjusted logistic regression analyses were used to test associations, accounting for clustering of nurses working in the same hospital. RESULTS: The hospital response rate was 88.9% and, for nurses, 88.1%. The mean patient-to-nurse ratio was 14.5 (range 6-23). The average skillmix was 31% RN. Eighty-six percent of nurses missed at least one activity. The activities most frequently missed included patient education, comforting patients and surveillance. The adjusted model showed a significant association between the work environment, staffing ratios and missed care. The RN skillmix was not associated. CONCLUSIONS: Missed care is highly prevalent problem in Chilean hospitals. Clinical activities were the least missed. It is necessary to improve work environments and reduce the number of patients per nurse to improve the safety and quality of care. RELEVANCE FOR CLINICAL PRACTICE: The study results are relevant since they provide new data to Chile. Better work environments and adequate human resources are modifiable factors that can be addressed from a managerial perspective, with low-cost strategies to effectively reduce missed care and improve safety and quality.

Variations in nursing baccalaureate education and 30-day inpatient surgical mortality.

BACKGROUND: In 2010, the IOM recommended an increase in the proportion of bachelor's-prepared (BSN) nurses to 80% by 2020. This goal was largely based on evidence linking hospitals with higher proportions of BSN nurses to better patient outcomes. Though, evidence is lacking on whether outcomes differ by a hospital's composition of initial BSN and transitional RN-to-BSN nurses. PURPOSE: The purpose of this study is to determine whether risk-adjusted odds of surgical mortality are associated with a hospital's proportion of initial BSN and transitional RN-to-BSN nurses. METHODS: Logistic regression models were used to analyze cross-sectional data of general surgical patients, nurses, and hospitals in four large states in 2015 to 2016. FINDINGS: Higher hospital proportions of BSN nurses, regardless of educational pathway, are associated with lower odds of 30-day inpatient surgical mortality. DISCUSSION: Findings support promoting multiple BSN educational pathways to reach the IOM's recommendation of at least an 80% BSN workforce.

Electronic Health Record Usability: Associations With Nurse and Patient Outcomes in Hospitals.

BACKGROUND: Electronic health record (EHR) usability issues represent an emerging threat to the wellbeing of nurses and patients; however, few large studies have examined these relationships. OBJECTIVE: To examine associations between EHR usability and nurse job (burnout, job dissatisfaction, and intention to leave) and surgical patient (inpatient mortality and 30-day readmission) outcomes. METHODS: A cross-sectional analysis of linked American Hospital Association, state patient discharge, and nurse survey data was conducted. The sample included 343 hospitals, 1,281,848 surgical patients, and 12,004 nurses. Logistic regression models were used to assess relationships between EHR usability and outcomes, before and after accounting for EHR adoption level (comprehensive vs. basic or less) and other confounders. RESULTS: In fully adjusted models, nurses who worked in hospitals with poorer EHR usability had significantly higher odds of burnout [odds ratio (OR), 1.41; 95% confidence interval (CI), 1.21-1.64], job dissatisfaction (OR, 1.61; 95% CI, 1.37-1.90) and intention to leave (OR, 1.31; 95% CI, 1.09-1.58) compared with nurses working in hospitals with better usability. Surgical patients treated in hospitals with poorer EHR usability had significantly higher odds of inpatient mortality (OR, 1.21; 95% CI, 1.09-1.35) and 30-day readmission (OR, 1.06; 95% CI, 1.01-1.12) compared with patients in hospitals with better usability. Comprehensive EHR adoption was associated with higher odds of nurse burnout (OR, 1.14; 95% CI, 1.01-1.28). CONCLUSION: Employing EHR systems with suboptimal usability was associated with higher odds of adverse nurse job outcomes and surgical patient mortality and readmission. EHR usability may be more important to nurse job and patient outcomes than comprehensive EHR adoption.

Better Nurse Staffing Is Associated With Survival for Black Patients and Diminishes Racial Disparities in Survival After In-Hospital Cardiac Arrests.

BACKGROUND: Racial disparities in survival among patients who had an in-hospital cardiac arrest (IHCA) have been linked to hospital-level factors. OBJECTIVES: To determine whether nurse staffing is associated with survival disparities after IHCA. RESEARCH DESIGN: Cross-sectional data from (1) the American Heart Association's Get With the Guidelines-Resuscitation database; (2) the University of Pennsylvania Multi-State Nursing Care and Patient Safety Survey; and (3) The American Hospital Association annual survey. Risk-adjusted logistic regression models, which took account of the hospital and patient characteristics, were used to determine the association of nurse staffing and survival to discharge for black and white patients. SUBJECTS: A total of 14,132 adult patients aged 18 and older between 2004 and 2010 in 75 hospitals in 4 states. RESULTS: In models that accounted for hospital and patient characteristics, the odds of survival to discharge was lower for black patients than white patients [odds ratio (OR)=0.70; 95% confidence interval (CI), 0.61-0.82]. A significant interaction was found between race and medical-surgical nurse staffing for survival to discharge, such that each additional patient per nurse lowered the odds of survival for black patients (OR=0.92; 95% CI, 0.87-0.97) more than white patients (OR=0.97; 95% CI, 0.93-1.00). CONCLUSIONS: Our findings suggest that disparities in IHCA survival between black and white patients may be linked to the level of medical-surgical nurse staffing in the hospitals in which they receive care and that the benefit of being admitted to hospitals with better staffing may be especially pronounced for black patients.

Value of Nurse Practitioner Inpatient Hospital Staffing.

BACKGROUND: Evidence indicates hospitals with better registered nurse (RN) staffing have better patient outcomes. Whether involving more nurse practitioners (NPs) in inpatient care produces better outcomes is largely unknown. OBJECTIVE: The objective of this study was to determine whether the presence of more NPs produces better inpatient outcomes net of RN staffing. RESEARCH DESIGN: This was a 2015-2016 cross-sectional data on 579 hospitals linked from: (1) RN4CAST-US nurse surveys; (2) Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) patient surveys; (3) surgical patient discharge abstracts; (4) Medicare Spending per Beneficiary (MSPB) reports; (5) American Hospital Association (AHA) Annual Survey. Hospitals were grouped according to their NP/beds ratios [<1 NP/100 beds (N=132), 1-2.99 NPs/100 beds (N=279), and 3+ NPs/100 beds (N=168)]. SUBJECTS: RNs randomly sampled nurses from licensure lists yielded 22,273 RNs in study hospitals; discharge data for 1.4 million surgical patients; HCAHPS data for 86% of study hospitals. MEASURES: Mortality, readmissions, lengths of stay, MSPB, patient experience, and quality reported by patients and nurses. RESULTS: After adjustments, patients in hospitals with 3+ NPs/100 beds had lower odds than patients in hospitals with <1 NP/100 beds of 30-day mortality [odds ratio (OR)2=0.76; 95% confidence interval (CI)=0.67-0.82; P<0.001] and 7-day readmissions (OR2=0.90; 95% CI=0.86-0.96; P<0.001), shorter average length of stay (incident rate ratio2=0.92; 95% CI=0.88-0.96; P<0.001) and 5.4% lower average MSPB (95% CI=3.8%-7.1%). Patients and nurses in the hospitals with higher NP/bed ratios were significantly more likely to report better care quality and safety, and nurses reported lower burnout, higher job satisfaction, greater intentions of staying in their jobs. CONCLUSIONS: Having more NPs in hospitals has favorable effects on patients, staff nurse satisfaction, and efficiency. NPs add value to existing labor resources.

Is Hospital Nurse Staffing Legislation in the Public's Interest?: An Observational Study in New York State.

BACKGROUND: The Safe Staffing for Quality Care Act under consideration in the New York (NY) state assembly would require hospitals to staff enough nurses to safely care for patients. The impact of regulated minimum patient-to-nurse staffing ratios in acute care hospitals in NY is unknown. OBJECTIVES: To examine variation in patient-to-nurse staffing in NY hospitals and its association with adverse outcomes (ie, mortality and avoidable costs). RESEARCH DESIGN: Cross-sectional data on nurse staffing in 116 acute care general hospitals in NY are linked with Medicare claims data. SUBJECTS: A total of 417,861 Medicare medical and surgical patients. MEASURES: Patient-to-nurse staffing is the primary predictor variable. Outcomes include in-hospital mortality, length of stay, 30-day readmission, and estimated costs using Medicare-specific cost-to-charge ratios. RESULTS: Hospital staffing ranged from 4.3 to 10.5 patients per nurse (P/N), and averaged 6.3 P/N. After adjusting for potential confounders each additional patient per nurse, for surgical and medical patients, respectively, was associated with higher odds of in-hospital mortality [odds ratio (OR)=1.13, P=0.0262; OR=1.13, P=0.0019], longer lengths of stay (incidence rate ratio=1.09, P=0.0008; incidence rate ratio=1.05, P=0.0023), and higher odds of 30-day readmission (OR=1.08, P=0.0002; OR=1.06, P=0.0003). Were hospitals staffed at the 4:1 P/N ratio proposed in the legislation, we conservatively estimated 4370 lives saved and $720 million saved over the 2-year study period in shorter lengths of stay and avoided readmissions. CONCLUSIONS: Patient-to-nurse staffing varies substantially across NY hospitals and higher ratios adversely affect patients. Our estimates of potential lives and costs saved substantially underestimate potential benefits of improved hospital nurse staffing.

Evaluating the Costs and Outcomes of Hospital Nursing Resources: a Matched Cohort Study of Patients with Common Medical Conditions.

BACKGROUND: Nursing resources, such as staffing ratios and skill mix, vary across hospitals. Better nursing resources have been linked to better patient outcomes but are assumed to increase costs. The value of investments in nursing resources, in terms of clinical benefits relative to costs, is unclear. OBJECTIVE: To determine whether there are differential clinical outcomes, costs, and value among medical patients at hospitals characterized by better or worse nursing resources. DESIGN: Matched cohort study of patients in 306 acute care hospitals. PATIENTS: A total of 74,045 matched pairs of fee-for-service Medicare beneficiaries admitted for common medical conditions (25,446 sepsis pairs; 16,332 congestive heart failure pairs; 12,811 pneumonia pairs; 10,598 stroke pairs; 8858 acute myocardial infarction pairs). Patients were also matched on hospital size, technology, and teaching status. MAIN MEASURES: Better (n = 76) and worse (n = 230) nursing resourced hospitals were defined by patient-to-nurse ratios, skill mix, proportions of bachelors-degree nurses, and nurse work environments. Outcomes included 30-day mortality, readmission, and resource utilization-based costs. KEY RESULTS: Patients in hospitals with better nursing resources had significantly lower 30-day mortality (16.1% vs 17.1%, p < 0.0001) and fewer readmissions (32.3% vs 33.6%, p < 0.0001) yet costs were not significantly different ($18,848 vs 18,671, p = 0.133). The greatest outcomes and cost advantage of better nursing resourced hospitals were in patients with sepsis who had lower mortality (25.3% vs 27.6%, p < 0.0001). Overall, patients with the highest risk of mortality on admission experienced the greatest reductions in mortality and readmission from better nursing at no difference in cost. CONCLUSIONS: Medicare beneficiaries with common medical conditions admitted to hospitals with better nursing resources experienced more favorable outcomes at almost no difference in cost.

Changes in proportion of bachelor's nurses associated with improvements in patient outcomes.

This study uses data from two cross-sections in time (2006, 2016) to determine whether changes over time in hospital employment of bachelor's of science in nursing (BSN) nurses is associated with changes in patient outcomes. Data sources include nurse survey data, American Hospital Association Annual Survey data, and patient administrative claims data from state agencies in California, Florida, New Jersey, and Pennsylvania. The study sample included general surgical patients aged 18-99 years admitted to one of the 519 study hospitals. Multilevel logistic regression and truncated negative binomial models were used to estimate the cross-sectional and longitudinal effects of the proportion of hospital BSN nurses on patient outcomes (i.e., in-hospital mortality, 7- and 30-day readmissions, length of stay). Between 2006 and 2016, the average proportion of BSN nurses in hospitals increased from 41% to 56%. Patients in hospitals that increased their proportion of BSN nurses over time had significantly reduced odds of risk-adjusted mortality (odds ratio [OR]: 0.95, 95% confidence interval [CI]: 0.92-0.98), 7-day readmission (OR: 0.96, 95% CI: 0.94-0.99) and 30-day readmission (OR: 0.98, 95% CI: 0.95-1.00), and shorter lengths of stay (incident rate ratio [IRR]: 0.98, 95% CI: 0.97-0.99). Longitudinal findings of an association between increased proportions of BSN nurses and improvements in patient outcomes corroborate previous cross-sectional research, suggesting that a better educated nurse workforce may add value to hospitals and patients.

Predictors of specialty certification among paediatric hospital nurses.

AIMS AND OBJECTIVES: To evaluate differences in hospitals' proportion of specialty certified nurses and to determine whether and to what extent individual nurse characteristics and organisational hospital characteristics are associated with a nurse's likelihood of having specialty certification. BACKGROUND: Prior research has shown that patients in hospitals with high proportions of specialty certified nurses have better outcomes including lower mortality and fewer adverse events, yet less is known about what motivates nurses to obtain specialty certification. METHODS AND DESIGN: Cross-sectional study of paediatric nurses in 119 acute care hospitals. Multivariate logistic regression models were used to determine the association between individual nurse characteristics, organisational hospital characteristics and an individual nurses' likelihood of holding a specialty certification. STROBE was followed. RESULTS: The proportion of certified nurses varies substantially among hospitals, with Magnet® hospitals being significantly more likely, on average, to have higher proportions of certified nurses. Nurses in children's hospitals were no more likely than paediatric nurses in general hospitals to be certified. A nurse's years of experience and bachelors-preparation were significantly associated with higher odds of having certification. The strongest predictors of certification were favourable nurse work environments and Magnet® -designation of the hospital. CONCLUSIONS: While individual attributes of the nurse were associated with a nurse's likelihood of having a specialty certification, the strongest predictors of certification were modifiable attributes of the hospital-a favourable nurse work environment and Magnet® -designation. RELEVANCE TO CLINICAL PRACTICE: Hospital administrators seeking to increase the proportion of specialty certified nurses in their organisation should look to improvements in the organisation's nurse work environment as a possible mechanism.

System-Level Improvements in Work Environments Lead to Lower Nurse Burnout and Higher Patient Satisfaction.

BACKGROUND: Burnout among nurses is associated with lower patient satisfaction, yet few system-level solutions have been identified to improve outcomes. PURPOSE: The purpose of this study was to examine the relationship between nurse burnout and patient satisfaction and determine whether work environments are associated with these outcomes. METHODS: This study was a cross-sectional analysis of 463 hospitals in 4 states. Burnout was defined using the Maslach Burnout Inventory. Patient satisfaction was obtained from the Hospital Consumer Assessment of Healthcare Providers and Systems survey. RESULTS: Fifty percent of hospitals where burnout is high have poor work environments, which is strongly related to lower patient satisfaction. CONCLUSIONS: High levels of nurse burnout are associated with lower patient satisfaction. Our findings demonstrate that hospitals can improve outcomes through investments in work environments.

Nursing home work environment, care quality, registered nurse burnout and job dissatisfaction.

The objective of this cross-sectional study was to examine the relationships between work environment, care quality, registered nurse (RN) burnout, and job dissatisfaction in nursing homes. We linked 2015 RN4CAST-US nurse survey data with LTCfocus and Nursing Home Compare. The sample included 245 Medicare and Medicaid-certified nursing homes in four states, and 674 of their RN employees. Nursing homes with good vs. poor work environments, had 1.8% fewer residents with pressure ulcers (p = .02) and 16 fewer hospitalizations per 100 residents per year (p = .05). They also had lower antipsychotic use, but the difference was not statistically significant. RNs were one-tenth as likely to report job dissatisfaction (p < .001) and one-eighth as likely to exhibit burnout (p < .001) when employed in good vs. poor work environments. These results suggest that the work environment is an important area to target for interventions to improve care quality and nurse retention in nursing homes.