Patient experience and nurse staffing level in South Korea.

Patient experience has recently become a key driver for hospital quality improvement in South Korea, marked by the introduction of the Patient Experience Assessment (PXA) within its National Health Insurance in 2017. While the PXA has garnered special attention from the media and hospitals, there has been a lack of focus on its structural determinants, hindering continuous and sustained improvement in patient experience. Given the relatively low number of practicing nurses per 1000 population in South Korea and the significant variation in nurse staffing levels across hospitals, the staffing level of nurses in hospitals could be a crucial structural determinant of patient experience. This study examines the association between patient experience and hospital nurse staffing levels in South Korea. We used individual- and hospital-level data from the 2019 PXA, encompassing 7250 patients from 42 tertiary hospitals and 16 235 patients from 109 non-tertiary general hospitals with 300 or more beds. The dependent variables were derived from the complete set of 21 proper questions on patient experience in the Nurse and other domains. The main explanatory variable was the hospital-level Nurse Staffing Grade (NSG), employed by the National Health Insurance to adjust reimbursement to hospitals. Multilevel ordered/binomial logistic or linear regression was conducted accounting for other hospital- and patient-level characteristics as well as acknowledging the nested nature of the data. A clear, positive association was observed between patient experience in the Nurse domain and NSG, even after accounting for other characteristics. For example, the predicted probability of reporting the top-box category of "Always" to the question "How often did nurses treat you with courtesy and respect?" was 70.3% among patients from non-tertiary general hospitals with the highest NSG, compared to 63.1% among patients from their peer hospitals with the lowest NSG. Patient experience measured in other domains that were likely to be affected by nurse staffing levels also showed similar associations, although generally weaker and less consistent than in the Nurse domain. Better patient experience was associated with higher hospital nurse staffing levels in South Korea. Alongside current initiatives focused on measuring and publicly reporting patient experience, strengthening nursing and other hospital workforce should also be included in policy efforts to improve patient experience.

Effects of Nurse Staffing on Missed Breastfeeding Support in Maternity Units With Different Nurse Work Environments.

PURPOSE: To examine the effect of nurse staffing in varying work environments on missed breastfeeding teaching and support in inpatient maternity units in the United States. BACKGROUND: Breast milk is the optimal food for newborns. Teaching and supporting women in breastfeeding are primarily a nurse's responsibility. Better maternity nurse staffing (fewer patients per nurse) is associated with less missed breastfeeding teaching and support and increased rates of breastfeeding. We examined the extent to which the nursing work environment, staffing, and nurse education were associated with missed breastfeeding care and how the work environment and staffing interacted to impact missed breastfeeding care. METHODS: In this cross-sectional study using the 2015 National Database of Nursing Quality Indicator survey, maternity nurses in hospitals in 48 states and the District of Columbia responded about their workplace and breastfeeding care. Clustered logistic regression models with interactions were used to estimate the effects of the nursing work environment and staffing on missed breastfeeding care. RESULTS: There were 19 486 registered nurses in 444 hospitals. Nearly 3 in 10 (28.2%) nurses reported missing breastfeeding care. In adjusted models, an additional patient per nurse was associated with a 39% increased odds of missed breastfeeding care. Furthermore, 1 standard deviation decrease in the work environment was associated with a 65% increased odds of missed breastfeeding care. In an interaction model, staffing only had a significant impact on missed breastfeeding care in poor work environments. CONCLUSIONS: We found that the work environment is more fundamental than staffing for ensuring that not only breastfeeding care is not missed but also breastfeeding care is sensitive to nurse staffing. Improvements to the work environment support the provision of breastfeeding care. IMPLICATIONS FOR RESEARCH AND PRACTICE: Both nurse staffing and the work environment are important for improving breastfeeding rates, but the work environment is foundational.

TAILR (Nursing-Sensitive Events and Their Association With Individual Nurse Staffing Levels) Project: Protocol for an International Longitudinal Multicenter Study.

BACKGROUND: Nursing-sensitive events (NSEs) are common, accounting for up to 77% of adverse events in hospitalized patients (eg, fall-related harm, pressure ulcers, and health care-associated infections). NSEs lead to adverse patient outcomes and impose an economic burden on hospitals due to increased medical costs through a prolonged hospital stay and additional medical procedures. To reduce NSEs and ensure high-quality nursing care, appropriate nurse staffing levels are needed. Although the link between nurse staffing and NSEs has been described in many studies, appropriate nurse staffing levels are lacking. Existing studies describe constant staffing exposure at the unit or hospital level without assessing patient-level exposure to nurse staffing during the hospital stay. Few studies have assessed nurse staffing and patient outcomes using a single-center longitudinal design, with limited generalizability. There is a need for multicenter longitudinal studies with improved potential for generalizing the association between individual nurse staffing levels and NSEs. OBJECTIVE: This study aimed (1) to determine the prevalence, preventability, type, and severity of NSEs; (2) to describe individual patient-level nurse staffing exposure across hospitals; (3) to assess the effect of nurse staffing on NSEs in patients; and (4) to identify thresholds of safe nurse staffing levels and test them against NSEs in hospitalized patients. METHODS: This international multicenter study uses a longitudinal and observational research design; it involves 4 countries (Switzerland, Sweden, Germany, and Iran), with participation from 14 hospitals and 61 medical, surgery, and mixed units. The 16-week observation period will collect NSEs using systematic retrospective record reviews. A total of 3680 patient admissions will be reviewed, with 60 randomly selected admissions per unit. To be included, patients must have been hospitalized for at least 48 hours. Nurse staffing data (ie, the number of nurses and their education level) will be collected daily for each shift to assess the association between NSEs and individual nurse staffing levels. Additionally, hospital data (ie, type, teaching status, and ownership) and unit data (ie, service line and number of beds) will be collected. RESULTS: As of January 2024, the verification process for the plausibility and comprehensibility of patients' and nurse staffing data is underway across all 4 countries. Data analyses are planned to be completed by spring 2024, with the first results expected to be published in late 2024. CONCLUSIONS: This study will provide comprehensive information on NSEs, including their prevalence, preventability, type, and severity, across countries. Moreover, it seeks to enhance understanding of NSE mechanisms and the potential impact of nurse staffing on these events. We will evaluate within- and between-hospital variability to identify productive strategies to ensure safe nurse staffing levels, thereby reducing NSEs in hospitalized patients. The TAILR (Nursing-Sensitive Events and Their Association With Individual Nurse Staffing Levels) study will focus on the optimization of scarce staffing resources. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56262.

The association between nurse staffing and quality of care in emergency departments: A systematic review.

BACKGROUND: The relationship between nurse staffing, skill-mix and quality of care has been well-established in medical and surgical settings, however, there is relatively limited evidence of this relationship in emergency departments. Those that have been published identified that lower nurse staffing levels in emergency departments are generally associated with worse outcomes with the conclusion that the evidence in emergency settings was, at best, weak. METHODS: We searched thirteen electronic databases for potentially eligible papers published in English up to December 2023. Studies were included if they reported on patient outcomes associated with nurse staffing within emergency departments. Observational, cross-sectional, prospective, retrospective, interrupted time-series designs, difference-in-difference, randomised control trials or quasi-experimental studies and controlled before and after studies study designs were considered for inclusion. Team members independently screened titles and abstracts. Data was synthesised using a narrative approach. RESULTS: We identified 16 papers for inclusion; the majority of the studies (n = 10/16) were observational. The evidence reviewed identified that poorer staffing levels within emergency departments are associated with increased patient wait times, a higher proportion of patients who leave without being seen and an increased length of stay. Lower levels of nurse staffing are also associated with an increase in time to medications and therapeutic interventions, and increased risk of cardiac arrest within the emergency department. CONCLUSION: Overall, there remains limited high-quality empirical evidence addressing the association between emergency department nurse staffing and patient outcomes. However, it is evident that lower levels of nurse staffing are associated with adverse events that can result in delays to the provision of care and serious outcomes for patients. There is a need for longitudinal studies coupled with research that considers the relationship with skill-mix, other staffing grades and patient outcomes as well as a wider range of geographical settings. TWEETABLE ABSTRACT: Lower levels of nurse staffing in emergency departments are associated with delays in patients receiving treatments and poor quality care including an increase in leaving without being seen, delay in accessing treatments and medications and cardiac arrest.

Missed nursing care: A cross-sectional and multi-centric study from Turkey.

AIM: The aim of this study is to explore the extent of missed nursing care in Turkey and identify its predictors. DESIGN: This was a descriptive, cross-sectional, multicentre study. METHODS: A total of 477 nurses working in seven public hospitals participated in this study from March to July 2019. The survey included two components: a personal and professional characteristics data form and the MISSCARE survey. RESULTS: The study revealed that emotional support, patient bathing and ambulation were the most frequently missed nursing care activities. An inadequate number of assistive personnel and staff, along with an unexpected increase in patient volume, were identified as the primary reasons for missed nursing care. Of the 21 missed nursing care activities, nine predictive models showed statistical significance (p < 0.05). Factors such as the type of unit, years of work experience, working hours, number of patients cared for in a shift and intention to leave the unit were found to be significant predictors of seven missed nursing care activities (p < 0.05). CONCLUSION: This study found that numerous variables influence each care activity, which suggests the need to devise more targeted and specific strategies to minimize missed nursing care. Thorough investigation into the impact of these strategies on each care activity is essential.

An Innovative Academic/Practice Partnership to Support Nursing Workforce Needs and Student Clinical Education.

ABSTRACT: Innovation is needed to solve nursing workforce issues during times of crisis. A collaborative effort between a hospital system and several universities resulted in the Bridge to Professional Practice Program that was implemented during a period of high patient volume and nursing student downtime. The program provided support for staffing needs and clinical hours to promote readiness for practice for students. The program evaluation outcomes and recommendations for improvement are addressed.

Telenursing: A Concept Analysis.

The national nursing shortage is affecting hospital leaders in their ability to employ nursing staff. Nursing staffing shortages contribute to extended nurse-to-patient ratios and increased workload for staff. Increased workload contributes to missed nursing care and correlates with increased patient length of stay, readmission rates, patient safety errors, and hospital-acquired infections. Telehealth services have shown initial improvements in care quality outcomes but have not addressed nursing workload or nursing shortages. Telenursing has potential to provide additional nursing support to offset the workloads of bedside nursing staff and break the associated cycle of adverse outcomes. Various definitions of telenursing are present in the literature, but a concept analysis of telenursing has not been published. Understanding the concept of telenursing is necessary to integrate this concept within the context of researching nursing shortages and patient and nurse outcomes in acute care hospitals. The author used Walker and Avant's eight-step procedure to define the concept of telenursing and present a model case, a related case, and a contrary case to describe the telenursing concept. This concept analysis helps to provide clarity around the concept of telenursing and directions for future research. Understanding the concept of telenursing is necessary to integrate this concept within the context of researching nursing shortages, nursing satisfaction, and patient and nurse outcomes in various healthcare settings.

Confronting the Workforce Tsunami: Nonnegotiable Tactics to Reverse the Exodus of RNs.

The sobering facts are clear: hospitals and health systems are facing a severe nursing shortage, with safe inpatient staffing approaching near-crisis levels. Safely staffing inpatient care is challenging. Stopping the exodus of nurses from acute care must be prioritized by the entire C-suite, with the chief nurse executive at the center of all decisions. Beyond aggressive retention strategies, different in-kind solutions to address the practice environment are nonnegotiable and help address nursing concerns about continued hospital employment.

An Innovative Nurse Staffing Model: Nurses Are Happy2Help and Strike the Right Balance.

OBJECTIVE: The aim of this study was to develop a flexible nurse reallocation solution. BACKGROUND: Successful nurse reallocation supports appropriate staffing and may enhance workforce flexibility. METHODS: An innovative program incentivizing regular nursing staff to volunteer for extra shifts systemwide was implemented at a large healthcare organization. RESULTS: Nurses' perceptions of appropriate staffing improved, and nursing care quality was not compromised. The program primed the organization to respond to the pandemic. CONCLUSIONS: The staffing model has been sustained for 3+ years.

Alternative Approaches to Ensuring Adequate Nurse Staffing: The Effect of State Legislation on Hospital Nurse Staffing.

OBJECTIVE: The objective of this study was to addresses the basic question of whether alternative legislative approaches are effective in encouraging hospitals to increase nurse staffing. METHODS: Using 16 years of nationally representative hospital-level data from the American Hospital Association (AHA) annual survey, we employed a difference-in-difference design to compare changes in productive hours per patient day for registered nurses (RNs), licensed practical/vocational nurses (LPNs), and nursing assistive personnel (NAP) in the state that mandated staffing ratios, states that legislated staffing committees, and states that legislated public reporting, to changes in states that did not implement any nurse staffing legislation before and after the legislation was implemented. We constructed multivariate linear regression models to assess the effects with hospital and year fixed effects, controlling for hospital-level characteristics and state-level factors. RESULTS: Compared with states with no legislation, the state that legislated minimum staffing ratios had an 0.996 (P<0.01) increase in RN hours per patient day and 0.224 (P<0.01) increase in NAP hours after the legislation was implemented, but no statistically significant changes in RN or NAP hours were found in states that legislated a staffing committee or public reporting. The staffing committee approach had a negative effect on LPN hours (difference-in-difference=-0.076, P<0.01), while the public reporting approach had a positive effect on LPN hours (difference-in-difference=0.115, P<0.01). There was no statistically significant effect of staffing mandate on LPN hours. CONCLUSIONS: When we included California in the comparison, our model suggests that neither the staffing committee nor the public reporting approach alone are effective in increasing hospital RN staffing, although the public reporting approach appeared to have a positive effect on LPN staffing. When we excluded California form the model, public reporting also had a positive effect on RN staffing. Future research should examine patient outcomes associated with these policies, as well as potential cost savings for hospitals from reduced nurse turnover rates.

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.

The effect of a nursing strike on emergency department operational metrics.

BACKGROUND: In July of 2017, after more than 15 months of negotiations, an academic teaching hospital in Boston failed to reach an agreement on the terms of contract renewal with its nursing union resulting in a strike. Replacement nurses were hired by the hospital to fulfill nursing duties for five days. OBJECTIVES: This study aims to measure the effects of this nursing strike on the patients seen in the emergency department (ED) by examining operational metrics before and during the strike. METHODS: Retrospective analysis of patient visits occurring for the five days of the strike (July 12-16, 2017) compared with the analogous five-day period immediately preceding that of the strike (July 5-9, 2017). RESULTS: During the strike, ED volume decreased by 23.6% (691 vs. 528 visits), and the decrease was more pronounced for adult vs. pediatric visits. There were no differences in patient sex, race/ethnicity or age groups. EMS transports decreased by 49.1% (171 vs. 87 transports). Although patient dispositions were similar in both periods, length of stay decreased for discharged patients (median 204 vs 178 minutes, p=0.01), and did not change significantly for admitted patients (median 322 vs. 320 minutes, p=0.33). There was one patient death in each of the periods. CONCLUSION: Although rare, nursing strikes do occur. These data may be useful for hospitals preparing for a strike.

Critical Care Nursing: A Key Constraint to COVID-19 Response and Healthcare Now and in the Future.

This article discusses the crucial role and dearth of critical care nurses in the United States highlighted during the COVID-19 pandemic. This challenge of sufficient critical care nursing resources existed before the pandemic, but now concern is heightened by the need for such crucial healthcare providers now and in the future. We present strategies to address the gap, as well as challenges inherent in the suggested approaches. The discussion is relevant as nurse leaders adapt to COVID-19 and other novel challenges in the future.

An Analysis of the Application of the Harmony Search Algorithm to Solving the Nurse Rostering Problem.

The nurse rostering problem describes the task of distributing nurses over working time slots, called shifts, in such a way that the workforce demand for each shift in a scheduling period is met, while ensuring that each nurse is not overttasked or undertasked. This problem is a major issue in Ghana, which this research aims to tackle. To that end, the performance of a heuristic algorithm that showed promise, called the Harmony Search algorithm, is examined. The algorithm, as applied to solving the nurse rostering problem in a hospital in Ghana, was implemented and evaluated with the Python programming language. The results suggest that the algorithm performs well in generating 1-week duty rosters but falters for extended periods, indicating that it may not on its own be potent enough to handle optimization problems. Finally, we outline some recommendations future researchers may want to note.

Tiered Model of Nurse Staffing for Critical Care and Emergency Departments in the Wake of a Pandemic.

AIM: To identify strategies that increase hospital bed capacity, material resources, and available nurse staffing during a national pandemic. BACKGROUND: The COVID-19 outbreak resulted in an influx of acutely ill patients requiring critical care. The volume and acuity of this patient population increased the demand for care and stretched hospitals beyond their capacity. While increasing hospital bed capacity and material resources are crucial, healthcare systems have noted one of the greatest limitations to rapid expansion has been the number of available medical personnel, particularly those trained in emergency and critical care nursing. EVALUATION: Program evaluation occurred on a daily basis with hospital throughput, focusing on logistics including our ability to expand bed volume, resource utilization, and the ability to meet staffing needs. CONCLUSION: This article describes how a quaternary care hospital in New York City prepared for the COVID-19 surge in patients by maximizing and shifting nursing resources to its most impacted services, the emergency department (ED) and the intensive care units (ICUs). A tier-based staffing model and rapid training were operationalized to address nurse-staffing shortages in the ICU and ED, identifying key factors for swift deployment. IMPLICATIONS FOR NURSING MANAGERS: Frequent communication between staff and leaders improves teamwork and builds trust and buy-in during normal operations and particularly in times of crisis.

Observational study of the relationship between nurse staffing levels and compliance with mandatory nutritional assessments in hospital.

BACKGROUND: In the UK, it is recommended that hospital patients have their nutritional status assessed within 24 h of admission using the Malnutrition Universal Screening Tool (MUST). The present study aimed to examine the association between nurse staffing levels and missed nutritional status assessments. METHODS: A single-centre, retrospective, observational study was employed using routinely collected MUST assessments from 32 general adult hospital wards over 2 years, matched to ward nurse staffing levels. We used mixed-effects logistic regression to control for ward characteristics and patient factors. RESULTS: Of 43 451 instances where staffing levels could be linked to a patient for whom an assessment was due, 21.4% had no MUST score recorded within 24 h of admission. Missed assessments varied between wards (8-100%). There was no overall association between registered nurse staffing levels and missed assessments; although higher admissions per registered nurse were associated with more missed assessments [odds ratio (OR) = 1.09, P = 0.005]. Higher healthcare assistant staffing was associated with lower rates of missed assessments (OR = 0.80, P < 0.001). There was a significant interaction between registered nurses and healthcare assistants staffing levels (OR = 0.97, P = 0.011). CONCLUSIONS: Despite a written hospital policy requiring a nutritional assessment within 24 h of admission, missed assessments were common. The observed results show that compliance with the policy for routine MUST assessments within 24 h of hospital admission is sensitive to staffing levels and workload. This has implications for planning nurse staffing.

Special Report: Frontline Nurses Say 'Never Again'.

Nurses share experiences from the pandemic and strategies to successfully manage future health care crises.

The Impact of COVID-19 on the Global Nursing Workforce.

Skilled nurses are critically important to an effective pandemic response.