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BACKGROUND: Hospitals are resurrecting the outdated "team nursing" model of staffing that substitutes lower-wage staff for registered nurses (RNs).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.

Mortality Among the Dementia Population in Not-For-Profit Hospitals with Better Nursing Resources.

The dementia population has higher rates of mortality during hospital stays than those without dementia. The aim of this study is to examine the relationship between ownership status (i.e. for-profit vs. not-for-profit) and nursing resources (i.e. nurse work environment, nurse-to-patient staffing, and nurse education) on 30-day mortality among post-surgical older adults with dementia. A cross-sectional analysis of linked American Hospital Association, Medicare claims, and nurse survey data was conducted using multi-level logistic regression models. We examined these models to assess the relationship between ownership status and 30-day mortality after adjusting patient and hospital characteristics. We also analyzed the relationship between the hospital ownership status and the 30-day mortality, after considering the three nursing resources. Older adults with dementia who received care in hospitals with not-for-profit status were less likely to die within 30 days of admission following surgery compared to those treated in hospitals with for-profit hospital status (i.e. odds ratio 0.82, 95% confidence interval 0.73-0.92, p = <.001). In addition, the odds ratios estimating the association between ownership and mortality were similar across the different models of the three nursing resources with and without those controls (i.e. 0.88 vs. 0.83 vs. 0.82). Surgical patients with dementia had better outcomes when cared for in not-for-profit hospitals, particularly with greater levels of nurse education and nurse staffing. The relationship between profit status and mortality was partly explained by the lower levels of nurse staffing and education in for-profit vs. not-for-profit hospitals.

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.

Work Environment and Operational Failures Associated With Nurse Outcomes, Patient Safety, and Patient Satisfaction.

BACKGROUND: Operational failures, defined as the inability of the work system to reliably provide information, services, and supplies needed when, where, and to who, are a pervasive problem in U.S. hospitals that disrupt nurses' ability to provide safe and effective care. OBJECTIVES: We examined the relationship between operational failures, patient satisfaction, nurse-reported quality and safety, and nurse job outcomes (e.g., burnout and job satisfaction) and whether differences in hospital work environments explained the relationship. METHODS: We conducted a cross-sectional analysis using population-based survey data from 11,709 registered nurses in 415 hospitals who participated in the RN4CAST-US nurse survey (2015-2016) and the 2016 Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. The RN4CAST-US nurse survey focused on hospital quality and safety, job outcomes, and hospital work environments. The HCAHPS survey collected publicly reported patient data on their satisfaction with their care. Operational failures were evaluated using an eight-item composite measure that assessed missing supplies, orders, medication, missing/wrong patient diet, electronic documentation problems, insufficient staff, and time spent on workarounds and nonnursing tasks. Multilevel regression models were used to test the hypothesized relationships. RESULTS: Operational failures were associated with low patient satisfaction scores, poor quality and safety outcomes, and poor nurse job outcomes, and those associations were partly accounted for by hospital work environments. DISCUSSION: Operational failures prevent high-quality care and positive patient and nurse outcomes. Operational failures and the hospital work environment should be targeted simultaneously to maximize quality improvement efforts. Hospital leadership should work with frontline staff to identify and target the sources of operational failures in nursing units. Improvements to hospital work environments may reduce the occurrence of operational failures.

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.

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.

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.

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.

Improved work environments and staffing lead to less missed nursing care: A panel study.

AIM: To document how changes in the hospital work environment and nurse staffing over time are associated with changes in missed nursing care. BACKGROUND: Missed nursing care is considered an indicator of poorer care quality and has been associated with worse patient care experiences and health outcomes. Several systematic reviews of cross-sectional studies report that nurses in hospitals with supportive work environments and higher staffing miss less care. Causal evidence demonstrating these relationships is needed. METHODS: This panel study utilized secondary data from 23,650 nurses surveyed in 2006 and 14,935 surveyed in 2016 in 458 hospitals from a four-state survey of random samples of licensed nurses. RESULTS: Over the 10-year period, most hospitals exhibited improved work environments, better nurse staffing and more missed care. In hospitals with improved work environments or nurse staffing, the prevalence and frequency of missed care decreased significantly. The effect on missed care of changes in the work environment was greater than that of nurse staffing. CONCLUSIONS: Changes in the hospital work environment and staffing influence missed care. IMPLICATIONS FOR NURSING MANAGEMENT: Modifications in the work environment and staffing are strategies to mitigate care compromise. Nurse managers should investigate work settings in order to identify weaknesses.

A Methodology For Studying Organizational Performance: A Multistate Survey of Front-line Providers.

BACKGROUND: Rigorous measurement of organizational performance requires large, unbiased samples to allow inferences to the population. Studies of organizations, including hospitals, often rely on voluntary surveys subject to nonresponse bias. For example, hospital administrators with concerns about performance are more likely to opt-out of surveys about organizational quality and safety, which is problematic for generating inferences. OBJECTIVE: The objective of this study was to describe a novel approach to obtaining a representative sample of organizations using individuals nested within organizations, and demonstrate how resurveying nonrespondents can allay concerns about bias from low response rates at the individual-level. METHODS: We review and analyze common ways of surveying hospitals. We describe the approach and results of a double-sampling technique of surveying nurses as informants about hospital quality and performance. Finally, we provide recommendations for sampling and survey methods to increase response rates and evaluate whether and to what extent bias exists. RESULTS: The survey of nurses yielded data on over 95% of hospitals in the sampling frame. Although the nurse response rate was 26%, comparisons of nurses' responses in the main survey and those of resurveyed nonrespondents, which yielded nearly a 90% response rate, revealed no statistically significant differences at the nurse-level, suggesting no evidence of nonresponse bias. CONCLUSIONS: Surveying organizations via random sampling of front-line providers can avoid the self-selection issues caused by directly sampling organizations. Response rates are commonly misinterpreted as a measure of representativeness; however, findings from the double-sampling approach show how low response rates merely increase the potential for nonresponse bias but do not confirm it.

Effect of Changes in Hospital Nursing Resources on Improvements in Patient Safety and Quality of Care: A Panel Study.

BACKGROUND: Evidence shows hospitals with better nursing resources have better outcomes but few studies have shown that outcomes change over time within hospitals as nursing resources change. OBJECTIVES: To determine whether changes in nursing resources over time within hospitals are related to changes in quality of care and patient safety. RESEARCH DESIGN: Multilevel logistic response models, using data from a panel of 737 hospitals in which cross-sections of nurse informants surveyed in 2006 and 2016, were used to simultaneously estimate longitudinal and cross-sectional associations between nursing resources, quality of care, and patient safety. MEASURES: Nursing resources included hospital-level measures of work environments, nurse staffing, and nurse education. Care quality was measured by overall rating of care quality, confidence in patients managing care after discharge, confidence in management resolving patient care problems; patient safety was measured by patient safety grade, concern with mistakes, and freedom to question authority. RESULTS: After taking into account cross-sectional differences between hospitals, differences among nurses within hospitals, and potential confounding variables, changes within hospitals in nursing resources were associated with significant changes in quality of care and patient safety. Improvements in work environment of 1 SD decrease odds of unfavorable quality care and patient safety by factors ranging from 0.82 to 0.97. CONCLUSIONS: Improvements within hospitals in work environments, nurse staffing, and educational composition of nurses coincide with improvements in quality of care and patient safety. Cross-sectional results closely approximate longitudinal panel results.

Unmet Nursing Care Linked to Rehospitalizations Among Older Black AMI Patients: A Cross-Sectional Study of US Hospitals.

BACKGROUND: Recent studies suggest that nurses may be unable to complete all aspects of necessary care due to a lack of time. Research is needed to determine whether unmet nursing care contributes to disparities in readmissions for vulnerable populations. OBJECTIVES: To examine differences in the relationship between nursing care left undone and acute myocardial infarction readmissions among older black patients compared with older white patients. RESEARCH DESIGN: Cross-sectional analysis of multiple datasets, including: 2006 to 2007 administrative discharge data, a survey of registered nurses, and the American Hospital Association Annual Survey. Risk-adjusted logistic regression models were used to estimate the association between care left undone and 30-day readmission. Interactions were used to examine the moderating effect of care left undone on readmission by race. RESULTS: The sample included 69,065 patients in 253 hospitals in California, New Jersey, and Pennsylvania. Older black patients were 18% more likely to experience a readmission after adjusting for patient and hospital characteristics and more likely to be in hospitals where nursing care was often left undone. Black patients were more likely to be readmitted when nurses were unable to talk/comfort patients [odds ratio (OR), 1.09; 95% confidence interval (CI), 1.01-1.19], complete documentation (OR, 1.16; 95% CI, 1.01-1.32), or administer medications in a timely manner (OR, 1.26; 95% CI, 1.09-1.46). CONCLUSIONS: Unmet nursing care is associated with readmissions for older black patients following acute myocardial infarction. Investment in nursing resources to improve the delivery of nursing care may decrease disparities in readmission.

Better Nurse Staffing and Nurse Work Environments Associated With Increased Survival of In-Hospital Cardiac Arrest Patients.

BACKGROUND: Although nurses are the most likely first responders to witness an in-hospital cardiac arrest (IHCA) and provide treatment, little research has been undertaken to determine what features of nursing are related to cardiac arrest outcomes. OBJECTIVES: To determine the association between nurse staffing, nurse work environments, and IHCA survival. RESEARCH DESIGN: Cross-sectional study of data from: (1) the American Heart Association's Get With The Guidelines-Resuscitation database; (2) the University of Pennsylvania Multi-State Nursing Care and and Patient Safety; and (3) the American Hospital Association annual survey. Logistic regression models were used to determine the association of the features of nursing and IHCA survival to discharge after adjusting for hospital and patient characteristics. SUBJECTS: A total of 11,160 adult patients aged 18 and older between 2005 and 2007 in 75 hospitals in 4 states (Pennsylvania, Florida, California, and New Jersey). RESULTS: Each additional patient per nurse on medical-surgical units was associated with a 5% lower likelihood of surviving IHCA to discharge (odds ratio=0.95; 95% confidence interval, 0.91-0.99). Further, patients cared for in hospitals with poor work environments had a 16% lower likelihood of IHCA survival (odds ratio=0.84; 95% confidence interval, 0.71-0.99) than patients cared for in hospitals with better work environments. CONCLUSIONS: Better work environments and decreased patient-to-nurse ratios on medical-surgical units are associated with higher odds of patient survival after an IHCA. These results add to a large body of literature suggesting that outcomes are better when nurses have a more reasonable workload and work in good hospital work environments. Improving nurse working conditions holds promise for improving survival following IHCA.

Nurse staffing and education and hospital mortality in nine European countries: a retrospective observational study.

BACKGROUND: Austerity measures and health-system redesign to minimise hospital expenditures risk adversely affecting patient outcomes. The RN4CAST study was designed to inform decision making about nursing, one of the largest components of hospital operating expenses. We aimed to assess whether differences in patient to nurse ratios and nurses' educational qualifications in nine of the 12 RN4CAST countries with similar patient discharge data were associated with variation in hospital mortality after common surgical procedures. METHODS: For this observational study, we obtained discharge data for 422,730 patients aged 50 years or older who underwent common surgeries in 300 hospitals in nine European countries. Administrative data were coded with a standard protocol (variants of the ninth or tenth versions of the International Classification of Diseases) to estimate 30 day in-hospital mortality by use of risk adjustment measures including age, sex, admission type, 43 dummy variables suggesting surgery type, and 17 dummy variables suggesting comorbidities present at admission. Surveys of 26,516 nurses practising in study hospitals were used to measure nurse staffing and nurse education. We used generalised estimating equations to assess the effects of nursing factors on the likelihood of surgical patients dying within 30 days of admission, before and after adjusting for other hospital and patient characteristics. FINDINGS: An increase in a nurses' workload by one patient increased the likelihood of an inpatient dying within 30 days of admission by 7% (odds ratio 1·068, 95% CI 1·031-1·106), and every 10% increase in bachelor's degree nurses was associated with a decrease in this likelihood by 7% (0·929, 0·886-0·973). These associations imply that patients in hospitals in which 60% of nurses had bachelor's degrees and nurses cared for an average of six patients would have almost 30% lower mortality than patients in hospitals in which only 30% of nurses had bachelor's degrees and nurses cared for an average of eight patients. INTERPRETATION: Nurse staffing cuts to save money might adversely affect patient outcomes. An increased emphasis on bachelor's education for nurses could reduce preventable hospital deaths. FUNDING: European Union's Seventh Framework Programme, National Institute of Nursing Research, National Institutes of Health, the Norwegian Nurses Organisation and the Norwegian Knowledge Centre for the Health Services, Swedish Association of Health Professionals, the regional agreement on medical training and clinical research between Stockholm County Council and Karolinska Institutet, Committee for Health and Caring Sciences and Strategic Research Program in Care Sciences at Karolinska Institutet, Spanish Ministry of Science and Innovation.