Hospital Performance on Hospital Consumer Assessment of Healthcare Providers and System Ratings: Associations With Nursing Factors.

OBJECTIVE: To determine which hospital nursing resources (staffing, skill mix, nurse education, and nurse work environment) are most predictive of hospital Hospital Consumer Assessment of Healthcare Providers and System (HCAHPS) performance. BACKGROUND: HCAHPS surveying is designed to quantify patient experience, a measure of patient-centered care. Hospitals are financially incentivized through the Centers for Medicare and Medicaid Services to achieve high HCAHPS ratings, but little is known about what modifiable hospital factors are associated with higher HCAHPS ratings. PATIENTS AND METHODS: Secondary analysis of multiple linked data sources in 2016 providing information on hospital HCAHPS ratings, hospital nursing resources, and other hospital attributes (eg, size, teaching, and technology status). Five hundred forty non-federal adult acute care hospitals in California, Florida, New Jersey, and Pennsylvania, and 11,786 registered nurses working in those hospitals. Predictor variables included staffing (ie, patient-to-nurse ratio), skill mix (ie, the proportion of registered nurses to all nursing staff), nurse education (ie, percentage of nurses with a bachelor's degree or higher), and nurse work environment (ie, the quality of the environment in which nurses work). HCAHPS ratings were the outcome variable. RESULTS: More favorable staffing, higher proportions of bachelor-educated nurses, and better work environments were associated with higher HCAHPS ratings. The work environment had the largest association with higher HCAHPS ratings, followed by nurse education, and then staffing. Superior staffing and work environments were associated with higher odds of a hospital being a "higher HCAHPS performer" compared with peer hospitals. CONCLUSION: Improving nursing resources is a strategic organizational intervention likely to improve HCAHPS ratings.

Racial disparities in low-risk cesarean birth rates across hospitals.

BACKGROUND: We compared low-risk cesarean birth rates for Black and White women across hospitals serving increasing proportions of Black women and identified hospitals where Black women had low-risk cesarean rates less than or equal to White women. METHODS: In this cross-sectional analysis of secondary data from four states, we categorized hospitals by their proportion of Black women giving birth from "low" to "high". We analyzed the odds of low-risk cesarean for Black and White women across hospital categories. RESULTS: Our sample comprised 493 hospitals and the 65,524 Black and 251,426 White women at low risk for cesarean who birthed in them. The mean low-risk cesarean rate was significantly higher for Black, compared with White, women in the low (20.1% vs. 15.9%) and medium (18.1% vs. 16.9%) hospital categories. In regression models, no hospital structural characteristics were significantly associated with the odds of a Black woman having a low-risk cesarean. For White women, birthing in a hospital serving the highest proportion of Black women was associated with a 21% (95% CI: 1.01-1.44) increase in the odds of having a low-risk cesarean. DISCUSSION: Black women had higher odds of a low-risk cesarean than White women and were more likely to access care in hospitals with higher low-risk cesarean rates. The existence of hospitals where low-risk cesarean rates for Black women were less than or equal to those of White women was notable, given a predominant focus on hospitals where Black women have poorer outcomes. Efforts to decrease the low-risk cesarean rate should focus on (1) improving intrapartum care for Black women and (2) identifying differentiating organizational factors in hospitals where cesarean birth rates are optimally low and equivalent among racial groups as a basis for system-level policy efforts to improve equity and reduce cesarean birth rates.

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.

Isolated, small, and large hospitals have fewer nursing resources than urban hospitals: Implications for rural health policy.

OBJECTIVE: The purpose was to compare nurse education, patient-to-nurse staffing, nursing skill mix, and nurse work environments across hospitals depending on extent of rurality. DESIGN: Cross-sectional, comparative, and descriptive. SAMPLE: The final sample included 566 urban, 49 large, 18 small, and 9 isolated hospitals from California, Florida, and Pennsylvania. MEASUREMENT: Data collected from large random samples from the 2005-2008 Multi-State Nursing Care and Patient Safety Study funded by the National Institute of Nursing Research and National Institutes of Health were linked to 2005-2006 American Hospital Association data. Rural-Urban Commuting Area codes developed by the University of Washington and the United States Department of Agriculture Economic Research Service were used to determine the extent of hospital rurality across the sample. RESULTS: Hospital percentages of baccalaureate prepared nurses differed significantly among urban (38%), large (28%), small (31%), and isolated rural hospitals (21%). Patient-to-registered nurse ratios in urban (4.8), large (5.6), small (5.6), and isolated rural hospitals (7.3) differed. Rural hospital nursing skill mix differed, and was lowest in isolated rural hospitals (65%). Nursing foundations for quality care were poorer in large, small, and isolated rural hospitals. CONCLUSION: Results support bolstering rural nursing resources in more remote locations, potentially through rural health policies.

Nursing Care Disparities in Neonatal Intensive Care Units.

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.

Disparities in perinatal quality outcomes for very low birth weight infants in neonatal intensive care.

OBJECTIVE: To determine if hospital-level disparities in very low birth weight (VLBW) infant outcomes are explained by poorer hospital nursing characteristics. DATA SOURCES: Nurse survey and VLBW infant registry data. STUDY DESIGN: Retrospective study of 8,252 VLBW infants in 98 Vermont Oxford Network hospital neonatal intensive care units (NICUs) nationally. NICUs were classified into three groups based on their percent of infants of black race. Two nurse-sensitive perinatal quality standards were studied: nosocomial infection and breast milk. DATA COLLECTION: Primary nurse survey (N = 5,773, 77 percent response rate). PRINCIPAL FINDINGS: VLBW infants born in high-black concentration hospitals had higher rates of infection and discharge without breast milk than VLBW infants born in low-black concentration hospitals. Nurse understaffing was higher and practice environments were worse in high-black as compared to low-black hospitals. NICU nursing features accounted for one-third to one-half of the hospital-level health disparities. CONCLUSIONS: Poorer nursing characteristics contribute to disparities in VLBW infant outcomes in two nurse-sensitive perinatal quality standards. Improvements in nursing have potential to improve the quality of care for seven out of ten black VLBW infants who are born in high-black hospitals in this country.

Home health agency work environments and hospitalizations.

BACKGROUND: An important goal of home health care is to assist patients to remain in community living arrangements. Yet home care often fails to prevent hospitalizations and to facilitate discharges to community living, thus putting patients at risk of additional health challenges and increasing care costs. OBJECTIVES: To determine the relationship between home health agency work environments and agency-level rates of acute hospitalization and discharges to community living. METHODS AND DESIGN: Analysis of linked Center for Medicare and Medicaid Services Home Health Compare data and nurse survey data from 118 home health agencies. Robust regression models were used to estimate the effect of work environment ratings on between-agency variation in rates of acute hospitalization and community discharge. RESULTS: Home health agencies with good work environments had lower rates of acute hospitalizations and higher rates of patient discharges to community living arrangements compared with home health agencies with poor work environments. CONCLUSION: Improved work environments in home health agencies hold promise for optimizing patient outcomes and reducing use of expensive hospital and institutional care.

Advancing the science of patient safety.

Despite a decade's worth of effort, patient safety has improved slowly, in part because of the limited evidence base for the development and widespread dissemination of successful patient safety practices. The Agency for Healthcare Research and Quality sponsored an international group of experts in patient safety and evaluation methods to develop criteria to improve the design, evaluation, and reporting of practice research in patient safety. This article reports the findings and recommendations of this group, which include greater use of theory and logic models, more detailed descriptions of interventions and their implementation, enhanced explanation of desired and unintended outcomes, and better description and measurement of context and of how context influences interventions. Using these criteria and measuring and reporting contexts will improve the science of patient safety.

Variations in nursing practice environments: relation to staffing and hospital characteristics.

BACKGROUND: While improvements in nursing practice environments are considered essential to address the nursing shortage, relatively little is known about the nursing practice environments in most hospitals. OBJECTIVES: The objectives of this study are to describe variations in nursing practice environments across hospitals and to examine their associations to hospital bed size, community size, teaching intensity, and nurse staffing levels. METHODS: The research design was cross-sectional analyses of nurse survey and administrative data for 156 Pennsylvania hospitals from 1999. For comparative reference, nurse survey data from earlier years from two small samples of nursing magnet hospitals were analyzed. The nursing practice environment was measured by the Practice Environment Scale of the Nursing Work Index (PES-NWI). RESULTS: Nursing practice environments varied greatly among the hospitals studied. The nursing practice environments of the small samples of magnet hospitals were superior to those of the Pennsylvania sample. About 17% of the hospitals in the Pennsylvania sample had favorable practice environments. Pennsylvania hospitals with better practice environments had higher RN-to-bed ratios. Practice environment differences were not associated with hospital bed size or community size. Hospitals with a modest teaching level had less favorable environments. DISCUSSION: Considerable variation exists in the quality of hospital nursing practice environments. Five out of six hospitals are targets for improvement. Favorable nursing practice environments can be achieved in a wide variety of hospital settings.