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To determine whether better nursing resources (ie, nurse education, staffing, work environment) are each associated with improved postsurgical outcomes for patients with opioid use disorder (OUD). Background: Hospitalized patients with OUD are at increased risk of adverse outcomes. Evidence suggests that adverse postsurgical outcomes may be mitigated in hospitals with better nursing resources, but this has not been evaluated among surgical patients with OUD. Methods: Cross-sectional (2015-2016) data were utilized from the RN4CAST-US survey of hospital nurses, the American Hospital Association Annual Survey of hospitals, and state patient hospital discharge summaries. Multivariate logistic and zero-truncated negative binomial regression models were employed to examine the association between nursing resources and 30-day readmission, 30-day in-hospital mortality, and length of stay for surgical patients with OUD. Results: Of 919,601 surgical patients in 448 hospitals, 11,610 had identifiable OUD. Patients with compared to without OUD were younger and more often insured by Medicaid. Better nurse education, staffing, and work environment were each associated with better outcomes for all surgical patients. For patients with OUD, each 10% increase in the proportion of nurses with a bachelor's degree in nursing was associated with even lower odds of 30-day readmission (odds ratio [OR] = 0.88; P = 0.001), and each additional patient-per-nurse was associated with even lower odds of 30-day readmission (OR = 1.09; P = 0.024). Conclusions: All surgical patients fare better when cared for in hospitals with better nursing resources. The benefits of having more nurses with a bachelor's degree and fewer patients-per-nurse in hospitals appear greater for surgical patients with OUD.

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Background: The COVID-19 pandemic has stimulated interest in potential policy solutions to improve working conditions in hospitals and nursing homes. Policy action in the pandemic recovery period must be informed by pre-pandemic conditions. Purpose: To describe registered nurses' (RNs') working conditions, job outcomes, and measures of patient safety and care quality in hospitals and nursing homes just before the pandemic. Methods: Cross-sectional study using descriptive statistics to analyze survey data from RNs in New York and Illinois collected December 2019 through February 2020. Results: A total of 33,462 RNs were included in the final analysis. Before the pandemic, more than 40% of RNs reported high burnout, one in four were dissatisfied with their job, and one in five planned to leave their employer within 1 year. Among nursing home RNs, one in three planned to leave their employer. RNs reported poor working conditions characterized by not having enough staff (56%), administrators who did not listen/respond to RNs' concerns (42%), frequently missed nursing care (ranging from 8% to 34% depending on the nursing task in question), work that was interrupted or delayed by insufficient staff (88%), and performing non-nursing tasks (82%). Most RNs (68%) rated care quality at their workplace as less than excellent, and 41% gave their hospital an unfavorable patient safety rating. Conclusion: Hospitals and nursing homes were understaffed before the COVID-19 pandemic, and many RNs were dissatisfied with their employers' contribution to the widespread observed shortage of nursing care during the pandemic. Policy interventions to address understaffing include the implementation of safe nurse staffing standards and passage of the Nurse Licensure Compact to permit RNs to move expeditiously to locales with the greatest needs.

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INTRODUCTION: The ongoing challenge for Chilean hospitals of meeting population health needs merits attention to the health care workforce. No studies have explored how nursing might contribute to addressing this challenge. International research shows that organizational characteristics of the nursing workforce and practice environment are associated with patient outcomes. Chile lacks actionable evidence that applies to its context of care. METHOD: First, a review of international literature was developed to synthesize evidence on the association between organizational characteristics of the nursing workforce and patient outcomes. Second, a review of literature and other nonacademic sources was performed to describe the context of care and data pertaining to nurses in Chilean hospitals. Third, a research agenda for efficient utilization of the hospital nursing workforce in Chile was proposed. RESULTS: International evidence shows that low patient-to-nurse ratios, high skill mix, and good practice environments are associated with better patient outcomes. Chilean hospitals have financial constraints that greatly influence the context of nursing practice and the scarce data about nursing organization call for greater attention. CONCLUSION: The establishment and implementation of a research agenda is needed to build local evidence regarding effective organization of nurses to inform policies and to improve patient outcomes in Chile.

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BACKGROUND: Approaches to nurse staffing are commonly concerned with determining the minimum number of care hours according to the illness severity of patients. However, there is a gap in the literature considering multi-skill and multi-shift nurse staffing. This study addresses nurse staffing per skill category, at a strategical decision level, by considering the organization of work in shifts and coping with variability in demand. METHODS: We developed a method to determine the nursing staff levels in a hospital, given the required patient assistance. This method relies on a new mathematical model for complying with the legislation and guidelines while minimizing salary costs. A spreadsheet-based tool was developed to embed the model and to allow simulating different scenarios and evaluating the impact of demand fluctuations, thus supporting decision-making on staff dimensioning. RESULTS: Experiments were carried out considering real data from a Brazilian hospital unit. The results obtained by the model support the current total staff level in the unit under study. However, the distribution of staff among different skill categories revealed that the current real situation can be improved. CONCLUSIONS: The method allows the determining of staff level per shift and skill depending on the mix of patients' illness severity. Hospital management is offered the possibility of optimizing the staff level using a spreadsheet, a tool most managers are familiar with. In addition, it is possible to evaluate the implications of decisions on workforce dimensioning by simulating different demand scenarios. This tool can be easily adapted to other hospitals, using local rules and legislation.

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OBJECTIVES: To describe the variation across neonatal intensive care units (NICUs) in missed nursing care in disproportionately black and non-black-serving hospitals. To analyze the nursing factors associated with missing nursing care. DATA SOURCES/STUDY SETTING: Survey of random samples of licensed nurses in four large U.S. states. STUDY DESIGN: This was a retrospective, secondary analysis of 1,037 staff nurses in 134 NICUs classified into three groups based on their percent of infants of black race. Measures included the average patient load, individual nurses' patient loads, professional nursing characteristics, nurse work environment, and nursing care missed on the last shift. DATA COLLECTION: Survey data from a Multi-State Nursing Care and Patient Safety Study were analyzed (39 percent response rate). PRINCIPAL FINDINGS: The patient-to-nurse ratio was significantly higher in high-black hospitals. Nurses in high-black NICUs missed nearly 50 percent more nursing care than in low-black NICUs. Lower nurse staffing (an additional patient per nurse) significantly increased the odds of missed care, while better practice environments decreased the odds. CONCLUSIONS: Nurses in high-black NICUs face inadequate staffing. They are more likely to miss required nursing care. Improving staffing and workloads may improve the quality of care for the infants born in high-black hospitals.

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OBJECTIVE: To study the association between hospital nurse staffing and Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores. DATA SOURCES: State hospital financial and utilization reports, Healthcare Cost and Utilization Project State Inpatient Databases, HCAHPS survey, and American Hospital Association Annual Survey of Hospitals. STUDY DESIGN: Retrospective study using cross-sectional and longitudinal models to estimate the effect of nurse staffing levels and skill mix on seven HCAHPS measures. DATA COLLECTION/EXTRACTION METHODS: Hospital-level data measuring nurse staffing, patient experience, and hospital characteristics from 2009 to 2011 for 341 hospitals (977 hospital years) in California, Maryland, and Nevada. PRINCIPAL FINDINGS: Nurse staffing level (i.e., number of licensed practical nurses and registered nurses per 1,000 inpatient days) was significantly and positively associated with all seven HCAHPS measures in cross-sectional models and three of seven measures in longitudinal models. Nursing skill mix (i.e., percentage of all staff who are registered nurses) was significantly and negatively associated with scores on one measure in cross-sectional models and none in longitudinal models. CONCLUSIONS: After controlling for unobserved hospital characteristics, the positive influences of increased nurse staffing levels and skill mix were relatively small in size and limited to a few measures of patients' inpatient experience.

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CONTEXT: Nurses are principal caregivers in the neonatal intensive care unit and support mothers to establish and sustain a supply of human milk for their infants. Whether an infant receives essential nutrition and immunological protection provided in human milk at discharge is an issue of health care quality in this setting. OBJECTIVES: To examine the association of the neonatal intensive care unit work environment, staffing levels, level of nurse education, lactation consultant availability, and nurse-reported breastfeeding support with very low birth weight infant receipt of human milk at discharge. DESIGN AND SETTING: Cross sectional analysis combining nurse survey data with infant discharge data. PARTICIPANTS: A national sample of neonatal intensive care units (N=97), nurses (N=5614) and very low birth weight infants (N=6997). METHODS: Sequential multivariate linear regression models were estimated at the unit level between the dependent variable (rate of very low birth weight infants discharged on "any human milk") and the independent variables (nurse work environment, nurse staffing, nursing staff education and experience, lactation consultant availability, and nurse-reported breastfeeding support). RESULTS: The majority of very low birth weight infants (52%) were discharged on formula only. Fewer infants (42%) received human milk mixed with fortifier or formula. Only 6% of infants were discharged on exclusive human milk. A 1 SD increase (0.25) in the Practice Environment Scale of the Nursing Work Index composite score was associated with a four percentage point increase in the fraction of infants discharged on human milk (p<0.05). A 1 SD increase (0.15) in the fraction of nurses with a bachelor's degree in nursing was associated with a three percentage point increase in the fraction infants discharged on human milk (p<0.05). The acuity-adjusted staffing ratio was marginally associated with the rate of human milk at discharge (p=.056). A 1 SD increase (7%) in the fraction of infants who received breastfeeding support was associated with an eight percentage point increase in the fraction of infants discharged on human milk (p<0.001). CONCLUSIONS: Neonatal intensive care units with better work environments, better educated nurses, and more infants who receive breastfeeding support by nurses have higher rates of very low birth weight infants discharged home on human milk. Investments by nurse administrators to improve work environments and support educational preparation of nursing staff may ensure that the most vulnerable infants have the best nutrition at the point of discharge.

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