Shift-Level Team Familiarity Is Associated with Improved Outcomes in Mechanically Ventilated Adults.

RATIONALE: Organizing intensive care unit (ICU) interprofessional teams is a high priority due to workforce needs, but the role of interprofessional familiarity remains unexplored. OBJECTIVE: Determine if mechanically ventilated patients cared for by teams with greater familiarity have improved outcomes, such as lower mortality, shorter duration of mechanical ventilation (MV), and greater spontaneous breathing trial (SBT) implementation. METHODS: We used electronic health records data of 5 ICUs in an academic medical center to map interprofessional teams and their ICU networks, measuring team familiarity as network coreness and mean team value. We used patient-level regression models to link team familiarity with patient outcomes, accounting for patient/unit factors. We also performed a split-sample analysis by using 2018 team familiarity data to predict 2019 outcomes. MEASUREMENTS: Team familiarity was measured as the average number of patients shared by each clinician with all other clinicians in the ICU (i.e., coreness) and the average number of patients shared by any two members of the team (i.e., mean team value). MAIN RESULTS: Among 4,485 encounters, unadjusted mortality was 12.9%, average duration of MV was 2.32 days and SBT implementation was 89%; average team coreness was 467.2 (SD = 96.15) and average mean team value was 87.02 (SD=42.42). A standard-deviation increase in team coreness was significantly associated with a 4.5% greater probability of SBT implementation, 23% shorter MV duration, and 3.8% lower probability of dying; mean team value was significantly associated with lower mortality. Split-sample results were attenuated but congruent in direction and interpretation. CONCLUSIONS: Interprofessional familiarity was associated with improved outcomes; assignment models that prioritize familiarity might be a novel solution.

Racial and Ethnic Disparities in Home Health Referral Among Adult Medicare Patients.

BACKGROUND: Home health care (HHC) services following hospital discharge provide essential continuity of care to mitigate risks of posthospitalization adverse outcomes and readmissions, yet patients from racial and ethnic minority groups are less likely to receive HHC visits. OBJECTIVE: To examine how the association of nurse assessments of patients' readiness for discharge with referral to HHC services at the time of hospital discharge differs by race and ethnic minority group. RESEARCH DESIGN: Secondary data analysis from a multisite study of the implementation of discharge readiness assessments in 31 US hospitals (READI Randomized Clinical Trial: 09/15/2014-03/31/2017), using linear and logistic models adjusted for patient demographic/clinical characteristics and hospital fixed effects. SUBJECTS: All Medicare patients in the study's intervention arm (n=14,684). MEASURES: Patient's race/ethnicity and discharge disposition code for referral to HHC (vs. home) from electronic health records. Patient's Readiness for Hospital Discharge Scale (RHDS) score (0-10 scale) assessed by the discharging nurse on the day of discharge. RESULTS: Adjusted RHDS scores were similar for non-Hispanic White (8.21; 95% CI: 8.18-8.24), non-Hispanic Black (8.20; 95% CI: 8.12-8.28), Hispanic (7.92; 95% CI: 7.81-8.02), and other race/ethnicity patients (8.09; 95% CI: 8.01-8.17). Non-Hispanic Black patients with low RHDS scores (6 or less) were less likely than non-Hispanic White patients to be discharged with an HHC referral (Black: 26.8%, 95% CI: 23.3-30.3; White: 32.6%, 95% CI: 31.1-34.1). CONCLUSIONS: Despite similar RHDS scores, Black patients were less likely to be discharged with HHC. A better understanding of root causes is needed to address systemic structural injustice in health care settings.

Using machine-learning methods to predict in-hospital mortality through the Elixhauser index: A Medicare data analysis.

Accurate in-hospital mortality prediction can reflect the prognosis of patients, help guide allocation of clinical resources, and help clinicians make the right care decisions. There are limitations to using traditional logistic regression models when assessing the model performance of comorbidity measures to predict in-hospital mortality. Meanwhile, the use of novel machine-learning methods is growing rapidly. In 2021, the Agency for Healthcare Research and Quality published new guidelines for using the Present-on-Admission (POA) indicator from the International Classification of Diseases, Tenth Revision, for coding comorbidities to predict in-hospital mortality from the Elixhauser's comorbidity measurement method. We compared the model performance of logistic regression, elastic net model, and artificial neural network (ANN) to predict in-hospital mortality from Elixhauser's measures under the updated POA guidelines. In this retrospective analysis, 1,810,106 adult Medicare inpatient admissions from six US states admitted after September 23, 2017, and discharged before April 11, 2019 were extracted from the Centers for Medicare and Medicaid Services data warehouse. The POA indicator was used to distinguish pre-existing comorbidities from complications that occurred during hospitalization. All models performed well (C-statistics >0.77). Elastic net method generated a parsimonious model, in which there were five fewer comorbidities selected to predict in-hospital mortality with similar predictive power compared to the logistic regression model. ANN had the highest C-statistics compared to the other two models (0.800 vs. 0.791 and 0.791). Elastic net model and AAN can be applied successfully to predict in-hospital mortality.

Value-informed nursing practice: What is it and how to make it a reality.

Nurses make decisions about the use of costly resources in countless care delivery settings 24 hours a day. Consequently, nurses are inseparably connected to not only the quality and safety of care, but to the cost-of-care as well. This article is Part 1 of a 6-part series on value-informed nursing practice. It describes the concept of 'value-informed nursing practice'-practice that focuses not only on outcomes, but also on the cost of care-as a new way to envision nursing practice.

Value-informed nursing practice is needed to make our healthcare systems more environmentally sustainable.

In this 3rd part of our 6-part series on value-informed nursing practice-practice that focuses on both achieving desired patient outcomes and minimizing the use of costly resources to achieve these outcomes-we focus on the importance of nurses in improving environmental outcomes and reducing costly environmental waste. We also propose how nursing education needs to change to prepare the next generation of nurses to effectively address environmental problems through providing value-informed nursing practice.

Part 6. Education for value-informed nursing practice.

With the ongoing transition to value-based health care, a strong command of foundational economic concepts, like cost and value, and the ability to thoughtfully engage in value-informed nursing practice have become essential for the future of the nursing profession. Earlier in this six-part series, we explained value-informed nursing practice, its historical, economic, and ethical foundation, its promise for an environmentally responsible, innovation-driven future health care, and why its adoption requires a reframing of some of the nursing's professional norms and behaviors. This paper concludes the series with one of the most important issues-education for value-informed nursing practice. We begin by setting forth our vision of how nursing students will learn and apply value informed nursing practice, consider challenges that nurse educators will face, and offer some suggestions for engraining value into the consciousness of the nursing profession.

Part 4: Value-informed nursing practice depends on nursing innovation.

With the adoption of value-based payments which tie reimbursement to patient outcomes and costs, days when nursing is viewed primarily as a cost to hospitals will soon be over. Already the backbone of high-quality care delivery and patient outcomes, nurses are becoming key drivers of health care organizations' financial outcomes, too. The first three articles published in this 6-part series on value-informed nursing practice-practice that considers both the outcomes and the cost of producing the outcomes-described what value-informed nursing practice means, its economic, policy, and ethical impetuses, and how value-informed nursing practice helps improve environmental sustainability of health systems. Here, in Part 4, we focus on the importance of nursing innovation in implementing value-informed nursing practice. We begin by discussing how innovation is connected to value and then examine the false dichotomy, perceived by many, between innovation and evidence-based care. Following this, we examine how health care organizations and systems can support nursing innovation, before concluding with recommendations for nursing educators.

The Effect of Healthcare Provider Availability on Spine Spending.

BACKGROUND: Spine conditions are costly and a major cause of disability. A growing body of evidence suggests that healthcare utilization and spending are driven by provider availability, which varies geographically and is a topic of healthcare policy debate. OBJECTIVE: To estimate the effect of provider availability on spine spending. DESIGN: Retrospective cohort study using relocation as a natural experiment. PARTICIPANTS: Fee-for-service Medicare beneficiaries over age 65 who relocated to a new hospital referral region between 2010 and 2014. MAIN MEASURES: We used generalized linear models to evaluate how changes in per-beneficiary availability of three types of healthcare providers (primary care physicians, spine surgeons, and chiropractors) affected annual per-beneficiary spine spending. We evaluated increases and decreases in provider availability separately. To account for the relative sizes of the provider workforces, we also calculated estimates of the effects of changes in national workforce size on changes in national spine spending. KEY RESULTS: The association between provider availability and spending was generally stronger among beneficiaries who experienced a decrease (versus an increase) in availability. Of the three provider groups, spine surgeon availability was most strongly associated with spending. Among beneficiaries who experienced a decrease in availability, a decrease in one spine surgeon per 10,000 beneficiaries was associated with a decrease of $36.97 (95% CI: $12.51, $61.42) in annual spending per beneficiary, versus a decrease of $1.41 (95% CI: $0.73, $2.09) for a decrease in primary care physician availability. However, changes in the national workforce size of primary care physicians were associated with the largest changes in national spine spending. CONCLUSIONS: Provider availability affects individual spine spending, with substantial changes observed at the national level. The effect depends on provider type and whether availability increases or decreases. Policymakers should consider how changes in the size of the physician workforce affect healthcare spending.

The Effect of Reduced Access to Chiropractic Care on Medical Service Use for Spine Conditions Among Older Adults.

OBJECTIVE: The purpose of this study was to examine the extent to which access to chiropractic care affects medical service use among older adults with spine conditions. METHODS: We used Medicare claims data to identify a cohort of 39,278 older adult chiropractic care users who relocated during 2010-2014 and thus experienced a change in geographic access to chiropractic care. National Plan and Provider Enumeration System data were used to determine chiropractor per population ratios across the United States. A reduction in access to chiropractic care was defined as decreasing 1 quintile or more in chiropractor per population ratio after relocation. Using a difference-in-difference analysis (before versus after relocation), we compared the use of medical services among those who experienced a reduction in access to chiropractic care versus those who did not. RESULTS: Among those who experienced a reduction in access to chiropractic care (versus those who did not), we observed an increase in the rate of visits to primary care physicians for spine conditions (an annual increase of 32.3 visits, 95% CI: 1.4-63.1 per 1,000) and rate of spine surgeries (an annual increase of 5.5 surgeries, 95% CI: 1.3-9.8 per 1,000). Considering the mean cost of a visit to a primary care physician and spine surgery, a reduction in access to chiropractic care was associated with an additional cost of $114,967 per 1,000 beneficiaries on medical services ($391 million nationally). CONCLUSIONS: Among older adults, reduced access to chiropractic care is associated with an increase in the use of some medical services for spine conditions.

Nurse Continuity at Discharge and Return to Hospital.

BACKGROUND: Promoting continuity of nurse assignment during discharge care has the potential to increase patient readiness for discharge-which has been associated with fewer readmissions and emergency department visits. The few studies that examined nurse continuity during acute care hospitalizations did not focus on discharge or postdischarge outcomes. OBJECTIVES: The aim of this research was to examine the association of continuity in nurse assignment to patients prior to hospital discharge with return to hospital (readmission and emergency department or observation visits), including exploration of the mediating pathway through patient readiness for discharge and moderating effects of unit environment and unit nurse characteristics. METHODS: In a sample of 18,203 adult, medical-surgical patients from 31 Magnet hospitals, a correlational path analysis design was used in a secondary analysis to evaluate the effect of nurse continuity on readmissions and emergency department or observation visits within 30 days after hospital discharge. The mediating pathway through discharge readiness measured by patient self-report and nurse assessments was also assessed. Moderating effects of unit environment and nursing characteristics were examined across quartiles of unit environment (nurse staffing hours per patient day) and unit nurse characteristics (education and experience). Analyses were adjusted for patient characteristics, unit fixed effects, and clustering at the unit level. RESULTS: Continuous nurse assignment on the last 2 days of hospitalization was observed in 6,441 (35.4%) patient discharges and was associated with a 0.85 absolute percentage point reduction (7.8% relative reduction) in readmissions. There was no significant association with emergency department or observation visits. Sensitivity analysis revealed a stronger effect in patients with higher Elixhauser Comorbidity Indexes. Readiness for discharge was not a mediator of the effect of continuity on return to hospital. Unit characteristics were not associated with nurse continuity. No moderation effect was evident for unit environment and nurse characteristics. DISCUSSION: Continuity of nurse assignment on the last 2 days of hospitalization can reduce readmissions. Staffing for continuity may benefit patients and healthcare systems, with greater benefits for high-comorbidity patients. Nurse continuity prior to hospital discharge should be a priority consideration in assigning acute care nurses to augment readmission reduction efforts.

Individual Nurse Productivity in Preparing Patients for Discharge Is Associated With Patient Likelihood of 30-Day Return to Hospital.

OBJECTIVE: Applied to value-based health care, the economic term "individual productivity" refers to the quality of an outcome attributable through a care process to an individual clinician. This study aimed to (1) estimate and describe the discharge preparation productivities of individual acute care nurses and (2) examine the association between the discharge preparation productivity of the discharging nurse and the patient's likelihood of a 30-day return to hospital [readmission and emergency department (ED) visits]. RESEARCH DESIGN: Secondary analysis of patient-nurse data from a cluster-randomized multisite study of patient discharge readiness and readmission. Patients reported discharge readiness scores; postdischarge outcomes and other variables were extracted from electronic health records. Using the structure-process-outcomes model, we viewed patient readiness for hospital discharge as a proximal outcome of the discharge preparation process and used it to measure nurse productivity in discharge preparation. We viewed hospital return as a distal outcome sensitive to discharge preparation care. Multilevel regression analyses used a split-sample approach and adjusted for patient characteristics. SUBJECTS: A total 522 nurses and 29,986 adult (18+ y) patients discharged to home from 31 geographically diverse medical-surgical units between June 15, 2015 and November 30, 2016. MEASURES: Patient discharge readiness was measured using the 8-item short form of Readiness for Hospital Discharge Scale (RHDS). A 30-day hospital return was a categorical variable for an inpatient readmission or an ED visit, versus no hospital return. RESULTS: Variability in individual nurse productivity explained 9.07% of variance in patient discharge readiness scores. Nurse productivity was negatively associated with the likelihood of a readmission (-0.48 absolute percentage points, P<0.001) and an ED visit (-0.29 absolute percentage points, P=0.042). CONCLUSIONS: Variability in individual clinician productivity can have implications for acute care quality patient outcomes.

Effects of Implementing a Health Team Communication Redesign on Hospital Readmissions Within 30 Days.

BACKGROUND AND RATIONALE: Poor communication between health team members can interfere with timely, coordinated preparation for hospital discharge. Research on daily bedside interprofessional health team rounds and nursing bedside shift handoff reports provides evidence that these strategies can improve communication. AIMS: To improve health team communication and collaboration about hospital discharge; improve patient experience of discharge measured by patient-reported quality of discharge teaching, readiness for discharge, and postdischarge coping difficulty; and reduce readmissions and emergency department (ED) visits postdischarge. METHODS: A two-sample pre- and postintervention design provided baseline data for redesign of health team communication processes and comparison data for evaluation of the new process' impact. Health team members (n = 105 [pre], n = 95 [post]) from two surgical units of an academic medical center in the midwestern United States provided data on discharge-related communication and collaboration. Patients (n = 413 [pre], n = 191 [post]) provided data on their discharge experience (quality of discharge teaching, readiness for discharge, postdischarge coping difficulty) and outcomes (readmissions, ED visits). Chi-square and t tests were used for unadjusted pre- and postintervention comparisons. Logistic regression of readmissions with a matched pre- and postintervention sample included adjustments for patient characteristics and hospitalization factors. RESULTS: Readmissions decreased from 18% to 12% (p < .001); ED visits decreased from 4.4% to 1.5% (p < .001). Changes in health team communication and collaboration and patients' experience of discharge were minimal. DISCUSSION: The targeted outcomes of readmission and ED visits improved after the health team communication process redesign. The process indicators did not improve; potential explanations include unmeasured hospital and unit discharge, and other care process changes during the study timeframe. LINKING EVIDENCE TO PRACTICE: Evidence from daily interprofessional team bedside rounding and bedside shift report studies was translated into a redesign of health team communication for discharge. These strategies support readmission reduction efforts.

Validation of the Registered Nurse Assessment of Readiness for Hospital Discharge Scale.

BACKGROUND: Statistical models for predicting readmissions have been published for high-risk patient populations but typically focus on patient characteristics; nurse judgment is rarely considered in a formalized way to supplement prediction models. OBJECTIVES: The purpose of this study was to determine psychometric properties of long and short forms of the Registered Nurse Readiness for Hospital Discharge Scale (RN-RHDS), including reliability, factor structure, and predictive validity. METHODS: Data were aggregated from two studies conducted at four hospitals in the Midwestern United States. The RN-RHDS was completed within 4 hours before hospital discharge by the discharging nurse. Data on readmissions and emergency department visits within 30 days were extracted from electronic medical records. RESULTS: The RN-RHDS, both long and short forms, demonstrate acceptable reliability (Cronbach's alphas of .90 and .73, respectively). Confirmatory factor analysis demonstrated less than adequate fit with the same four-factor structure observed in the patient version. Exploratory factor analysis identified three factors, explaining 60.2% of the variance. When nurses rate patients as less ready to go home (<7 out of 10), patients are 6.4-9.3 times more likely to return to the hospital within 30 days, in adjusted models. DISCUSSION: The RN-RHDS, long and short forms, can be used to identify medical-surgical patients at risk for potential unplanned return to hospital within 30 days, allowing nurses to use their clinical judgment to implement interventions prior to discharge. Use of the RN-RHDS could enhance current readmission risk prediction models.

Patients Negatively Impacted by Discontinuity of Nursing Care During Acute Hospitalization.

BACKGROUND: Continuity of nursing care in hospitals remains poor and not prioritized, and we do not know whether discontinuous nursing care is negatively impacting patient outcomes. OBJECTIVES: This study aims to examine nursing care discontinuity and its effect on patient clinical condition over the course of acute hospitalization. RESEARCH DESIGN: Retrospective longitudinal analysis of electronic health records (EHR). Average point-in-time discontinuity was estimated from time of admission to discharge and compared with theoretical predictions for optimal continuity and random nurse assignment. Mixed-effects models estimated within-patient change in clinical condition following a discontinuity. SUBJECTS: A total of 3892 adult medical-surgical inpatients were admitted to a tertiary academic medical center in the Eastern United States during July 1, 2011 and December 31, 2011. MEASURES: Exposure: discontinuity of nursing care was measured at each nurse assessment entry into a patient's EHR as assignment of the patient to a nurse with no prior assignment to that patient. OUTCOME: patient's clinical condition score (Rothman Index) continuously tracked in the EHR. RESULTS: Discontinuity declined from nearly 100% in the first 24 hours to 70% at 36 hours, and to 50% by the 10th postadmission day. Discontinuity was higher than predicted for optimal continuity, but not random. Each instance of discontinuity lead to a 0.12-0.23 point decline in the Rothman Index score, with more pronounced effects for older and high-mortality risk patients. CONCLUSIONS: Discontinuity in acute care nurse assignments was high and negatively impacted patient clinical condition. Improved continuity of provider-patient assignment should be advocated to improve patient outcomes in acute care.

Receipt of Caregiving and Fall Risk in US Community-dwelling Older Adults.

BACKGROUND: Falls and fall-related injuries (FRI) are common and costly occurrences among older adults living in the community, with increased risk for those with physical and cognitive limitations. Caregivers provide support for older adults with physical functioning limitations, which are associated with fall risk. DESIGN: Using the 2004-2012 waves of the Health and Retirement Study, we examined whether receipt of low (0-13 weekly hours) and high levels (≥14 weekly hours) of informal care or any formal care is associated with lower risk of falls and FRIs among community-dwelling older adults. We additionally tested whether serious physical functioning (≥3 activities of daily living) or cognitive limitations moderated this relationship. RESULTS: Caregiving receipt categories were jointly significant in predicting noninjurious falls (P=0.03) but not FRIs (P=0.30). High levels of informal care category (P=0.001) and formal care (P<0.001) had stronger associations with reduced fall risk relative to low levels of informal care. Among individuals with ≥3 activities of daily living, fall risks were reduced by 21% for those receiving high levels of informal care; additionally, FRIs were reduced by 42% and 58% for those receiving high levels of informal care and any formal care. High levels of informal care receipt were also associated with a 54% FRI risk reduction among the cognitively impaired. CONCLUSIONS: Fall risk reductions among older adults occurred predominantly among those with significant physical and cognitive limitations. Accordingly, policy efforts involving fall prevention should target populations with increased physical functioning and cognitive limitations. They should also reduce financial barriers to informal and formal caregiving.

Effectiveness of implementing a dyadic psychoeducational intervention for cancer patients and family caregivers.

PURPOSE: This study examined the effectiveness, feasibility, and satisfaction with implementation of the FOCUS program in two US Cancer Support Community affiliates in Ohio and California as well as the cost to deliver the program. FOCUS is an evidence-based psychoeducational intervention for dyads (cancer patients and caregivers). METHODS: A pre-post-intervention design was employed. Eleven, five-session Focus programs were delivered by licensed professionals in a small group format (three-four dyads/group) to 36 patient-caregiver dyads. An Implementation Training Manual, a FOCUS Intervention Protocol Manual, and weekly conference calls were used to foster implementation. Participants completed questionnaires prior to and following completion of each five-session FOCUS program to measure primary (emotional distress, quality of life) and secondary outcomes (benefits of illness, self-efficacy, and dyadic communication). Enrollment and retention rates and fidelity to FOCUS were used to measure feasibility. Cost estimates were based on time and median hourly wages. Repeated analysis of variance was used to analyze the effect of FOCUS on outcomes for dyads. Descriptive statistics were used to examine feasibility, satisfaction, and cost estimates. RESULTS: FOCUS had positive effects on QOL (p = .014), emotional (p = .012), and functional (p = .049) well-being, emotional distress (p = .002), benefits of illness (p = .013), and self-efficacy (p = .001). Intervention fidelity was 85% with enrollment and retention rates of 71.4 and 90%, respectively. Participants were highly satisfied. Cost for oversight and delivery of the five-session FOCUS program was $168.00 per dyad. CONCLUSIONS: FOCUS is an economic and effective intervention to decrease distress and improve the quality of life for dyads.

Cesarean deliveries and maternal weight retention.

BACKGROUND: Cesarean delivery accounts for nearly one-third of all births in the U.S. and contributes to an additional $38 billion in healthcare costs each year. Although Cesarean delivery has a long record of improving maternal and neonatal mortality and morbidity, increased utilization over time has yielded public health concerns and calls for reductions. Observational evidence suggests Cesarean delivery is associated with increased maternal postpartum weight, which may have significant implications for the obesity epidemic. Previous literature, however, typically does not address selection biases stemming from correlations of pre-pregnancy weight and reproductive health with Cesarean delivery. METHODS: We used fetal malpresentation as a natural experiment as it predicts Cesarean delivery but is uncorrelated with pre-pregnancy weight or maternal health. We used hospital administrative data (including fields used in vital birth record) from the state of Wisconsin from 2006 to 2013 to create a sample of mothers with at least two births. Using propensity score methods, we compared maternal weight prior to the second pregnancy of mothers who delivered via Cesarean due to fetal malpresentation to mothers who deliver vaginally. RESULTS: We found no evidence that Cesarean delivery in the first pregnancy causally leads to greater maternal weight, BMI, or movement to a higher BMI classification prior to the second pregnancy. CONCLUSIONS: After accounting for correlations between pre-pregnancy weight, gestational weight gain, and mode of delivery, there is no evidence of a causal link between Cesarean delivery and maternal weight retention.

Rankings matter: nurse graduates from higher-ranked institutions have higher productivity.

BACKGROUND: Increasing demand for baccalaureate-prepared nurses has led to rapid growth in the number of baccalaureate-granting programs, and to concerns about educational quality and potential effects on productivity of the graduating nursing workforce. We examined the association of individual productivity of a baccalaureate-prepared nurse with the ranking of the degree-granting institution. METHODS: For a sample of 691 nurses from general medical-surgical units at a large magnet urban hospital between 6/1/2011-12/31/2011, we conducted multivariate regression analysis of nurse productivity on the ranking of the degree-granting institution, adjusted for age, hospital tenure, gender, and unit-specific effects. Nurse productivity was coded as "top"/"average"/"bottom" based on a computation of individual nurse value-added to patient outcomes. Ranking of the baccalaureate-granting institution was derived from the US News and World Report Best Colleges Rankings' categorization of the nurse's institution as the "first tier" or the "second tier", with diploma or associate degree as the reference category. RESULTS: Relative to diploma or associate degree nurses, nurses who had attended first-tier universities had three-times the odds of being in the top productivity category (OR = 3.18, p < 0.001), while second-tier education had a non-significant association with productivity (OR = 1.73, p = 0.11). Being in the bottom productivity category was not associated with having a baccalaureate degree or the quality tier. CONCLUSIONS: The productivity boost from a nursing baccalaureate degree depends on the quality of the educational institution. Recognizing differences in educational outcomes, initiatives to build a baccalaureate-educated nursing workforce should be accompanied by improved access to high-quality educational institutions.