Association of Registered Nurse Staffing With Mortality Risk of Medicare Beneficiaries Hospitalized With Sepsis.

Importance: Sepsis is a major physiologic response to infection that if not managed properly can lead to multiorgan failure and death. The US Centers for Medicare & Medicaid Services (CMS) requires that hospitals collect data on core sepsis measure Severe Sepsis and Septic Shock Management Bundle (SEP-1) in an effort to promote the early recognition and treatment of sepsis. Despite implementation of the SEP-1 measure, sepsis-related mortality continues to challenge acute care hospitals nationwide. Objective: To determine if registered nurse workload was associated with mortality in Medicare beneficiaries admitted to an acute care hospital with sepsis. Design Setting and Participants: This cross-sectional study used 2018 data from the American Hospital Association Annual Survey, CMS Hospital Compare, and Medicare claims on Medicare beneficiaries age 65 to 99 years with a primary diagnosis of sepsis that was present on admission to 1 of 1958 nonfederal, general acute care hospitals that had data on CMS SEP-1 scores and registered nurse workload (indicated by registered nurse hours per patient day [HPPD]). Patients with sepsis were identified based on 29 International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes. Data were analyzed throughout 2021. Exposures: SEP-1 score and registered nurse staffing. Main Outcomes and Measures: The patient outcome of interest was mortality within 60 days of admission. Hospital characteristics included number of beds, ownership, teaching status, technology status, rurality, and region. Patient characteristics included age, sex, transfer status, intensive care unit admission, palliative care, do-not-resuscitate order, and a series of 29 comorbid diseases based on the Elixhauser Comorbidity Index. Results: In total, 702 140 Medicare beneficiaries (mean [SD] age, 78.2 [8.7] years; 360 804 women [51%]) had a diagnosis of sepsis. The mean SEP-1 score was 56.1, and registered nurse HPPD was 6.2. In a multivariable regression model, each additional registered nurse HPPD was associated with a 3% decrease in the odds of 60-day mortality (odds ratio, 0.97; 95% CI 0.96-0.99) controlling for SEP-1 score and hospital and patient characteristics. Conclusions and Relevance: The results of this cross-sectional study suggest that hospitals that provide more registered nurse hours of care could likely improve SEP-1 bundle compliance and decrease the likelihood of mortality in Medicare beneficiaries with sepsis.

Hospital nurse staffing and sepsis protocol compliance and outcomes among patients with sepsis in the USA: a multistate cross-sectional analysis.

OBJECTIVES: Sepsis is a serious inflammatory response to infection with a high death rate. Timely and effective treatment may improve sepsis outcomes resulting in mandatory sepsis care protocol adherence reporting. How the impact of patient-to-nurse staffing compares to sepsis protocol compliance and patient outcomes is not well understood. This study aimed to determine the association between hospital sepsis protocol compliance, patient-to-nurse staffing ratios and patient outcomes. DESIGN: A cross-sectional study examining hospital nurse staffing, sepsis protocol compliance and sepsis patient outcomes, using linked data from nurse (2015-2016, 2020) and hospital (2017) surveys, and Centers for Medicare and Medicaid Services Hospital Compare (2017) and corresponding MedPAR patient claims. SETTING: 537 hospitals across six US states (California, Florida, Pennsylvania, New York, Illinois and New Jersey). PARTICIPANTS: 252 699 Medicare inpatients with sepsis present on admission. MEASURES: The explanatory variables are nurse staffing and SEP-1 compliance. Outcomes are mortality (within 30 and 60 days of index admission), readmissions (within 7, 30, and 60 days of discharge), admission to the intensive care unit (ICU) and lengths of stay (LOS). RESULTS: Sepsis protocol compliance and nurse staffing vary widely across hospitals. Each additional patient per nurse was associated with increased odds of 30-day and 60-day mortality (9% (OR 1.09, 95% CI 1.05 to 1.13) and 10% (1.10, 95% CI 1.07 to 1.14)), 7-day, 30-day and 60-day readmission (8% (OR 1.08, 95% CI 1.05 to 1.11, p<0.001), 7% (OR 1.07, 95% CI 1.05 to 1.10, p<0.001), 7% (OR 1.07, 95% CI 1.05 to 1.10, p<0.001)), ICU admission (12% (OR 1.12, 95% CI 1.03 to 1.22, p=0.007)) and increased relative risk of longer LOS (10% (OR 1.10, 95% CI 1.08 to 1.12, p<0.001)). Each 10% increase in sepsis protocol compliance was associated with shorter LOS (2% ([OR 0.98, 95% CI 0.97 to 0.99, p<0.001)) only. CONCLUSIONS: Outcomes are more strongly associated with improved nurse staffing than with increased compliance with sepsis protocols.

Hospital nurse staffing and patient outcomes in Chile: a multilevel cross-sectional study.

BACKGROUND: Unrest in Chile over inequalities has underscored the need to improve public hospitals. Nursing has been overlooked as a solution to quality and access concerns, and nurse staffing is poor by international standards. Using Chile's new diagnosis-related groups system and surveys of nurses and patients, we provide information to policy makers on feasibility, net costs, and estimated improved outcomes associated with increasing nursing resources in public hospitals. METHODS: For this multilevel cross-sectional study, we used data from surveys of hospital nurses to measure staffing and work environments in public and private Chilean adult high-complexity hospitals, which were linked with patient satisfaction survey and discharge data from the national diagnosis-related groups database for inpatients. All adult patients on medical and surgical units whose conditions permitted and who had been hospitalised for more than 48 h were invited to participate in the patient experience survey until 50 responses were obtained in each hospital. We estimated associations between nurse staffing and work environment quality with inpatient 30-day mortality, 30-day readmission, length of stay (LOS), patient experience, and care quality using multilevel random-effects logistic regression models and zero-truncated negative binomial regression models, with clustering of patients within hospitals. FINDINGS: We collected and analysed surveys of 1652 hospital nurses from 40 hospitals (34 public and six private), satisfaction surveys of 2013 patients, and discharge data for 761 948 inpatients. Nurse staffing was significantly related to all outcomes, including mortality, after adjusting for patient characteristics, and the work environment was related to patient experience and nurses' quality assessments. Each patient added to nurses' workloads increased mortality (odds ratio 1·04, 95% CI 1·01-1·07, p<0·01), readmissions (1·02, 1·01-1·03, p<0·01), and LOS (incident rate ratio 1·04, 95% CI 1·01-1·06, p<0·05). Nurse workloads across hospitals varied from six to 24 patients per nurse. Patients in hospitals with 18 patients per nurse, compared with those in hospitals with eight patients per nurse, had 41% higher odds of dying, 20% higher odds of being readmitted, 41% higher odds of staying longer, and 68% lower odds of rating their hospital highly. We estimated that savings from reduced readmissions and shorter stays would exceed the costs of adding nurses by US$1·2 million and $5·4 million if the additional nurses resulted in average workloads of 12 or ten patients per nurse, respectively. INTERPRETATION: Improved hospital nurse staffing in Chile was associated with lower inpatient mortality, higher patient satisfaction, fewer readmissions, and shorter hospital stays, suggesting that greater investments in nurses could return higher quality of care and greater value. FUNDING: Sigma Theta Tau International, University of Pennsylvania Global Engagement Fund, University of Pennsylvania School of Nursing's Center for Health Outcomes, and Policy Research and Population Research Center. TRANSLATION: For the Spanish translation of the abstract see Supplementary Materials section.

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.

Nurse employment contracts in Chinese hospitals: impact of inequitable benefit structures on nurse and patient satisfaction.

PURPOSE: Ongoing economic and health system reforms in China have transformed nurse employment in Chinese hospitals. Employment of 'bianzhi' nurses, a type of position with state-guaranteed lifetime employment that has been customary since 1949, is decreasing while there is an increase in the contract-based nurse employment with limited job security and reduced benefits. The consequences of inequities between the two types of nurses in terms of wages and job-related benefits are unknown. This study examined current rates of contract-based nurse employment and the effects of the new nurse contract employment strategy on nurse and patient outcomes in Chinese hospitals. METHODS: This cross-sectional study used geographically representative survey data collected from 2008 to 2010 from 181 hospitals in six provinces, two municipalities, and one autonomous region in China. Logistic regression models were used to estimate the association between contract-based nurse utilization, dissatisfaction among contract-based nurses, nurse intentions to leave their positions, and patient satisfaction, controlling for nurse, patient, and hospital characteristics. PRINCIPAL RESULTS: Hospital-level utilization of contract-based nurses varies greatly from 0 to 91%, with an average of 51%. Contract-based nurses were significantly more dissatisfied with their remuneration and benefits than 'bianzhi' nurses who have more job security (P <0.01). Contract-based nurses who were dissatisfied with their salary and benefits were more likely to intend to leave their current positions (P <0.01). Hospitals with high levels of dissatisfaction with salary and benefits among contract-based nurses were rated lower and less likely to be recommended by patients (P < 0.05). CONCLUSIONS: Our results suggest a high utilization of contract-based nurses in Chinese hospitals, and that the inequities in benefits between contract-based nurses and 'bianzhi' nurses may adversely affect both nurse and patient satisfaction in hospitals. Our study provides empirical support for the 'equal pay for equal work' policy emphasized by the China Ministry of Health's recent regulations, and calls for efforts in Chinese hospitals to eliminate the disparities between 'bianzhi' and contract-based nurses.

Impact of critical care nursing on 30-day mortality of mechanically ventilated older adults.

OBJECTIVES: The mortality rate for mechanically ventilated older adults in ICUs is high. A robust research literature shows a significant association between nurse staffing, nurses' education, and the quality of nurse work environments and mortality following common surgical procedures. A distinguishing feature of ICUs is greater investment in nursing care. The objective of this study is to determine the extent to which variation in ICU nursing characteristics-staffing, work environment, education, and experience-is associated with mortality, thus potentially illuminating strategies for improving patient outcomes. DESIGN: Multistate, cross-sectional study of hospitals linking nurse survey data from 2006 to 2008 with hospital administrative data and Medicare claims data from the same period. Logistic regression models with robust estimation procedures to account for clustering were used to assess the effect of critical care nursing on 30-day mortality before and after adjusting for patient, hospital, and physician characteristics. SETTING: Three hundred and three adult acute care hospitals in California, Florida, New Jersey, and Pennsylvania. PATIENTS: The patient sample included 55,159 older adults on mechanical ventilation admitted to a study hospital. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Patients in critical care units with better nurse work environments experienced 11% lower odds of 30-day mortality than those in worse nurse work environments. Additionally, each 10% point increase in the proportion of ICU nurses with a bachelor's degree in nursing was associated with a 2% reduction in the odds of 30-day mortality, which implies that the odds on patient deaths in hospitals with 75% nurses with a bachelor's degree in nursing would be 10% lower than in hospitals with 25% nurses with a bachelor's degree in nursing. Critical care nurse staffing did not vary substantially across hospitals. Staffing and nurse experience were not associated with mortality after accounting for these other nurse characteristics. CONCLUSIONS: Patients in hospitals with better critical care nurse work environments and higher proportions of critical care nurses with a bachelor's degree in nursing experienced significantly lower odds of death.

An observational study of nurse staffing ratios and hospital readmission among children admitted for common conditions.

BACKGROUND: Hospital patient-to-nurse staffing ratios are associated with quality outcomes in adult patient populations but little is known about how these factors affect paediatric care. We examined the relationship between staffing ratios and all-cause readmission (within 14 days, 15-30 days) among children admitted for common medical and surgical conditions. METHODS: We conducted an observational cross-sectional study of readmissions of children in 225 hospitals by linking nurse surveys, inpatient discharge data and information from the American Hospital Association Annual Survey. Registered Nurses (N=14 194) providing direct patient care in study hospitals (N=225) and children hospitalised for common conditions (N=90 459) were included. RESULTS: Each one patient increase in a hospital's average paediatric staffing ratio increased a medical child's odds of readmission within 15-30 days by a factor of 1.11, or by 11% (95% CI 1.02 to 1.20) and a surgical child's likelihood of readmission within 15-30 days by a factor of 1.48, or by 48% (95% CI 1.27 to 1.73). Children treated in hospitals with paediatric staffing ratios of 1 : 4 or less were significantly less likely to be readmitted within 15-30 days. There were no significant effects of nurse staffing ratios on readmissions within 14 days. DISCUSSION: Children with common conditions treated in hospitals in which nurses care for fewer patients each are significantly less likely to experience readmission between 15 and 30 days after discharge. Lower patient-to-nurse ratios hold promise for preventing unnecessary hospital readmissions for children through more effective predischarge monitoring of patient conditions, improved discharge preparation and enhanced quality improvement success.

Hospital use of agency-employed supplemental nurses and patient mortality and failure to rescue.

OBJECTIVE: To determine the association between the use of agency-employed supplemental registered nurses (SRNs) to staff hospitals and patient mortality and failure to rescue (FTR). DATA SOURCES: Primary survey data from 40,356 registered nurses in 665 hospitals in four states in 2006 were linked with American Hospital Association and inpatient mortality data from state agencies for approximately 1.3 million patients. STUDY DESIGN: Logistic regression models were used to examine the association between SRN use and 30-day in-hospital mortality and FTR, controlling for patient and hospital characteristics, nurse staffing, the proportion of nurses with bachelor's degrees, and quality of the work environment. PRINCIPAL FINDINGS: Before controlling for multiple nurse characteristics of hospitals, higher proportions of agency-employed SRNs in hospitals appeared to be associated with higher mortality (OR = 1.06) and FTR (OR = 1.05). Hospitals with higher proportions of SRNs have poorer work environments, however, and the significant relationships between SRNs and mortality outcomes were rendered insignificant when work environments were taken into account. CONCLUSIONS: Higher use of SRNs does not appear to have deleterious consequences for patient mortality and may alleviate nurse staffing problems that could produce higher mortality.

Impact of nurse staffing mandates on safety-net hospitals: lessons from California.

CONTEXT: California is the first and only state to implement a patient-to-nurse ratio mandate for hospitals. Increasing nurse staffing is an important organizational intervention for improving patient outcomes. Evidence suggests that staffing improved in California hospitals after the mandate was enacted, but the outcome for hospitals bearing a disproportionate share of uncompensated care-safety-net hospitals-remains unclear. One concern was that California's mandate would burden safety-net hospitals without improving staffing or that hospitals would reduce their skill mix, that is, the proportion of registered nurses of all nursing staff. We examined the differential effect of California's staffing mandate on safety-net and non-safety-net hospitals. METHODS: We used a time-series design with Annual Hospital Disclosure data files from the California Office of Statewide Health Planning and Development (OSHPD) for the years 1998 to 2007 to assess differences in the effect of California's mandate on staffing outcomes in safety-net and non-safety-net hospitals. FINDINGS: The mandate resulted in significant staffing improvements, on average nearly a full patient per nurse fewer (-0.98) for all California hospitals. The greatest effect was in those hospitals with the lowest staffing levels at the outset, both safety-net and non-safety-net hospitals, as the legislation intended. The mandate led to significantly improved staffing levels for safety-net hospitals, although there was a small but significant difference in the effect on staffing levels of safety-net and non-safety-net hospitals. Regarding skill mix, a marginally higher proportion of registered nurses was seen in non-safety-net hospitals following the mandate, while the skill mix remained essentially unchanged for safety-net hospitals. The difference between the two groups of hospitals was not significant. CONCLUSIONS: California's mandate improved staffing for all hospitals, including safety-net hospitals. Furthermore, improvement did not come at the cost of a reduced skill mix, as was feared. Alternative and more targeted designs, however, might yield further improvement for safety-net hospitals and reduce potential disparities in the staffing and skill mix of safety-net and non-safety-net hospitals.

Quality of care and patient satisfaction in hospitals with high concentrations of black patients.

PURPOSE: To examine the influence of nursing-specifically nurse staffing and the nurse work environment-on quality of care and patient satisfaction in hospitals with varying concentrations of Black patients. DESIGN: Cross-sectional secondary analysis of 2006-2007 nurse survey data collected across four states (Florida, Pennsylvania, New Jersey, and California), the Hospital Consumer Assessment of Healthcare Providers and Systems survey, and administrative data. Global analysis of variance and linear regression models were used to examine the association between the concentration of Black patients on quality measures (readiness for discharge, patient or family complaints, health care-associated infections) and patient satisfaction, before and after accounting for nursing and hospital characteristics. RESULTS: Nurses working in hospitals with higher concentrations of Blacks reported poorer confidence in patients' readiness for discharge and more frequent complaints and infections. Patients treated in hospitals with higher concentrations of Blacks were less satisfied with their care. In the fully adjusted regression models for quality and patient satisfaction outcomes, the effects associated with the concentration of Blacks were explained in part by nursing and structural hospital characteristics. CONCLUSIONS: This study demonstrates a relationship between nursing, structural hospital characteristics, quality of care, and patient satisfaction in hospitals with high concentrations of Black patients. CLINICAL RELEVANCE: Consideration of nursing factors, in addition to other important hospital characteristics, is critical to understanding and improving quality of care and patient satisfaction in minority-serving hospitals.

Contradicting fears, California's nurse-to-patient mandate did not reduce the skill level of the nursing workforce in hospitals.

When California passed a law in 1999 establishing minimum nurse-to-patient staffing ratios for hospitals, it was feared that hospitals might respond by disproportionately hiring lower-skill licensed vocational nurses. This article examines nurse staffing ratios for California hospitals for the period 1997-2008. It compares staffing levels to those in similar hospitals in the United States. We found that California's mandate did not reduce the nurse workforce skill level as feared. Instead, California hospitals on average followed the trend of hospitals nationally by increasing their nursing skill mix, and they primarily used more highly skilled registered nurses to meet the staffing mandate. In addition, we found that the staffing mandate resulted in roughly an additional half-hour of nursing per adjusted patient day beyond what would have been expected in the absence of the policy. Policy makers in other states can look to California's experience when considering similar approaches to improving patient care.

Nurses' widespread job dissatisfaction, burnout, and frustration with health benefits signal problems for patient care.

Job dissatisfaction among nurses contributes to costly labor disputes, turnover, and risk to patients. Examining survey data from 95,499 nurses, we found much higher job dissatisfaction and burnout among nurses who were directly caring for patients in hospitals and nursing homes than among nurses working in other jobs or settings, such as the pharmaceutical industry. Strikingly, nurses are particularly dissatisfied with their health benefits, which highlights the need for a benefits review to make nurses' benefits more comparable to those of other white-collar employees. Patient satisfaction levels are lower in hospitals with more nurses who are dissatisfied or burned out-a finding that signals problems with quality of care. Improving nurses' working conditions may improve both nurses' and patients' satisfaction as well as the quality of care.

Risk factors for hospital-acquired 'poor glycemic control': a case-control study.

OBJECTIVE: To determine the patient and hospital characteristics associated with severe manifestations of 'poor glycemic control'-a 'no-pay' hospital-acquired condition defined by the US Medicare program based on hospital claims related to severe complications of diabetes. DESIGN: A nested case-control study. SETTING: California acute care hospitals from 2005 to 2006. PARTICIPANTS: All cases (n= 261) with manifestations of poor glycemic control not present on admission admitted to California acute care hospitals from 2005 to 2006 and 261 controls were matched (1:1) using administrative data for age, sex, major diagnostic category and severity of illness. MAIN OUTCOME MEASURE(S): The adjusted odds ratio (OR) for experiencing poor glycemic control. RESULTS: Deaths (16 vs. 9%, P= 0.01) and total costs ($26,125 vs. $18,233, P= 0.026) were significantly higher among poor glycemic control cases. Risk-adjusted conditional logistic regression revealed that each additional chronic condition increased the odds of poor glycemic control by 12% (OR: 1.12, 95% CI: 1.04-1.22). The interaction of registered nurse staffing and hospital teaching status suggested that in non-teaching hospitals, each additional nursing hour per adjusted patient day significantly reduced the odds of poor glycemic control by 16% (OR: 0.84, 95% CI: 0.73-0.96). Nurse staffing was not significant in teaching hospitals (OR: 0.98, 95% CI: 0.88-1.11). CONCLUSIONS: Severe poor glycemic control complications are relatively rare but meaningful events with disproportionately high costs and mortality. Increasing nurse staffing may be an effective strategy in reducing poor glycemic control complications particularly in non-teaching hospitals.

Implications of the California nurse staffing mandate for other states.

OBJECTIVES: To determine whether nurse staffing in California hospitals, where state-mandated minimum nurse-to-patient ratios are in effect, differs from two states without legislation and whether those differences are associated with nurse and patient outcomes. DATA SOURCES: Primary survey data from 22,336 hospital staff nurses in California, Pennsylvania, and New Jersey in 2006 and state hospital discharge databases. STUDY DESIGN: Nurse workloads are compared across the three states and we examine how nurse and patient outcomes, including patient mortality and failure-to-rescue, are affected by the differences in nurse workloads across the hospitals in these states. PRINCIPAL FINDINGS: California hospital nurses cared for one less patient on average than nurses in the other states and two fewer patients on medical and surgical units. Lower ratios are associated with significantly lower mortality. When nurses' workloads were in line with California-mandated ratios in all three states, nurses' burnout and job dissatisfaction were lower, and nurses reported consistently better quality of care. CONCLUSIONS: Hospital nurse staffing ratios mandated in California are associated with lower mortality and nurse outcomes predictive of better nurse retention in California and in other states where they occur.

Rationing of nursing care and its relationship to patient outcomes: the Swiss extension of the International Hospital Outcomes Study.

OBJECTIVE: To explore the association between implicit rationing of nursing care and selected patient outcomes in Swiss hospitals, adjusting for major organizational variables, including the quality of the nurse practice environment and the level of nurse staffing. Rationing was measured using the newly developed Basel Extent of Rationing of Nursing Care (BERNCA) instrument. Additional data were collected using an adapted version of the International Hospital Outcomes Study questionnaire. DESIGN: Multi-hospital cross-sectional surveys of patients and nurses. SETTING: Eight Swiss acute care hospitals PARTICIPANTS: Nurses (1338) and patients (779) on 118 medical, surgical and gynecological units. MAIN OUTCOME MEASURES: Patient satisfaction, nurse-reported medication errors, patient falls, nosocomial infections, pressure ulcers and critical incidents involving patients over the previous year. RESULTS: Generally, nurses reported rarely having omitted any of the 20 nursing tasks listed in the BERNCA over their last 7 working days. However, despite relatively low levels, implicit rationing of nursing care was a significant predictor of all six patient outcomes studied. Although the adequacy of nursing resources was a significant predictor for most of the patient outcomes in unadjusted models, it was not an independent predictor in the adjusted models. Low nursing resource adequacy ratings were a significant predictor for five of the six patient outcomes in the unadjusted models, but not in the adjusted ones. CONCLUSION: As a system factor in acute general hospitals, implicit rationing of nursing care is an important new predictor of patient outcomes and merits further study.

Supplemental nurse staffing in hospitals and quality of care.

OBJECTIVE: To promote evidence-based decision making regarding hospital staffing, the authors examined the characteristics of supplemental nurses, as well as the relationship of supplemental staff to nurse outcomes and adverse events. BACKGROUND: The use of supplemental nurses to bolster permanent nursing staff in hospitals is widespread but controversial. Quality concerns have been raised regarding the use of supplemental staff. METHODS: Data from the 2000 National Sample Survey of Registered Nurses were used to determine whether the qualifications of supplemental nurses working in hospitals differed from permanent staff nurses. Data from Pennsylvania nurse surveys were analyzed to examine whether nurse outcomes and adverse events differed in hospitals with varying proportions of nonpermanent nurses. RESULTS: Temporary nurses have qualifications similar to permanent staff nurses. Deficits in patient care environments in hospitals employing more temporary nurses explain the association between poorer quality and temporary nurses. CONCLUSION: Negative perceptions of temporary nurses may be unfounded.