On the Association Between Demographic Structural Change and the Effectiveness of Nurse Staffing Policy for Inpatient Care: Evidence from Taiwan.

Purpose: This study investigates the influence of demographic changes on the effectiveness of hospital nurse staffing policy, measured by the cumulative response of inpatient care quality to adjustments in hospital nurse staffing levels in Taiwan. Methods: The research design utilized in this study aligns with the observational time-series methodology, and a total of 99 monthly time-series observations were collected from multiple databases administered by the Taiwan government over the period from January 2015 to March 2023. Specifically, the time-varying parameter vector autoregressive and autoregressive distributed lag models were employed to investigate the association between age distribution and nurse staffing policy effectiveness. Results: The time-varying impulse responses of the unplanned 14-day readmission rate after discharge to changes in nurse staffing levels indicate a positive association between patient-to-nurse ratios and unplanned 14-day readmission rates across various types of hospitals. Nevertheless, the effectiveness of hospitals' nurse staffing policy is observed to diminish with population aging, particularly evident in medical centers and regional hospitals. Conclusion: Policymakers should establish lower mandated patient-to-nurse ratios, grounded in practical nurse workforce planning, to address the needs of an aging society and enhance inpatient care quality through improved nurse staffing in hospitals.

Workforce thresholds and the non-linear association between registered nurse staffing and care quality in long-term residential care: A retrospective longitudinal study of English care homes with nursing.

BACKGROUND: Care needs amongst 425,000 dependent older residents in English care homes are becoming more complex. The quality of care in these homes is influenced by staffing levels, especially the presence of registered nurses (RNs). Existing research on this topic, often US-focused and relying on linear assumptions, has limitations. This study aims to investigate the non-linear relationship between RN staffing and care quality in English care homes using machine learning and administrative data from two major care home providers. METHODS: A retrospective observational study was conducted using data from two English care home providers. Each was analysed separately due to variations in data reporting and care processes. Various care quality indicators and staffing metrics were collected for a 3.5-year period. Regression analysis and machine learning (random forest) were employed to identify non-linear relationships. Ethical approval was obtained for the study. RESULTS: Using linear methods, higher skill mix - more care provided by RNs - was associated with lower incidence of adverse outcomes, such as urinary tract infections and hospitalisations. However, non-linear skill mix-outcome relationship modelling revealed both low and high skill mix levels were linked to higher risks. The effects of agency RN usage varied between providers, increasing risks in one but not the other. DISCUSSION: The study highlights the cost implications of increasing RN staffing establishments to improve care quality, suggesting a non-linear relationship and an optimal staffing threshold of around one-quarter of care provided by nurses. Alternative roles, such as care practitioners, merit exploration for meeting care demands whilst maintaining quality. This research underscores the need for a workforce plan for social care in England. It advocates for the incorporation of machine learning models alongside traditional regression-based methods. Our results may have limited generalisability to smaller providers and experimental research to redesign care processes effectively may be needed. CONCLUSION: RNs are crucial for quality in care homes. Contrary to the assumption that higher nurse staffing necessarily leads to better care quality, this study reveals a nuanced, non-linear relationship between RN staffing and care quality in English care homes. It suggests that identifying an optimal staffing threshold, beyond which increasing nursing inputs may not significantly enhance care quality may necessitate reconsidering care system design and (human) resource allocation. Further experimental research is required to elucidate resource-specific thresholds and further strengthen evidence for care home staffing. TWEETABLE ABSTRACT: How much nursing care is needed to assure quality in care homes? Evidence from 2 English care home providers shows that nurse sensitive outcomes (an indicator of quality) are better when ~25 % of care is provided by nurses. Nurse shortages increase risks for residents.

Hospital nurse staffing variation and Covid-19 deaths: A cross-sectional study.

BACKGROUND: During the Covid-19 pandemic, Covid-19 mortality varied depending on the hospital where patients were admitted, but it is unknown what aspects of hospitals were important for mitigating preventable deaths. OBJECTIVE: To determine whether hospital differences in pre-pandemic and during pandemic nursing resources-average patient-to-registered nurse (RN) staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition-explain differences in risk-adjusted Covid-19 mortality; and to estimate how many deaths may have been prevented if nurses were better resourced prior to and during the pandemic. METHODS: This is a cross-sectional study of 87,936 Medicare beneficiaries (65-99 years old) hospitalized with Covid-19 and discharged (or died) between April 1 and December 31, 2020, in 237 general acute care hospitals in New York and Illinois. Measures of hospital nursing resources (i.e. patient-to-RN staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition) in the pre-pandemic period (December 2019 to February 2020) and during (April to June 2021) were used to predict in-hospital and 30-day mortality using adjusted logistic regression models. RESULTS: The mean age of patients was 78 years (8.6 SD); 51 % were male (n = 44,998). 23 % of patients admitted to the hospital with Covid-19 died during the hospitalization (n = 20,243); 31.5 % died within 30-days of admission (n = 27,719). Patients admitted with Covid-19 to hospitals with better nursing resources pre-pandemic and during the pandemic were statistically significantly less likely to die. For example, each additional patient in the average nurses' workload pre-pandemic was associated with 20 % higher odds of in-hospital mortality (OR 1.20, 95 % CI [1.12-1.28], p < 0.001) and 15 % higher odds of 30-day mortality (OR 1.15, 95 % CI [1.09-1.21], p < 0.001). Hospitals with greater proportions of BSN-qualified RNs, better quality nurse work environments, and Magnet recognition offered similar protective benefits to patients during the pandemic. If all hospitals in the study had superior nursing resources prior to or during the pandemic, models estimate many thousands of deaths among patients hospitalized with Covid-19 could have been avoided. CONCLUSIONS: Patients with Covid-19 admitted to hospitals with adequate numbers of RNs caring for patients, a workforce rich in BSN-qualified RNs, and high-quality nurse work environments (both prior to and during the Covid-19 pandemic) were more likely to survive the hospitalization. Bolstering these hospital nursing resources during ordinary times is necessary to ensure better patient outcomes and emergency-preparedness of hospitals for future public health emergencies.

Influence of multidisciplinary team care with abundant nurse staffing on patient-reported outcomes among patients with inflammatory bowel disease in clinical remission.

BACKGROUND: Patients with inflammatory bowel disease (IBD) experience difficulties in daily life and demanding self-care needs. The goal of our support for patients is to ease their difficulties and improve their belief in their capacity to self-manage their disease (self-efficacy), by increasing their ability for self-care. The nurse's contribution is vital in empowering patients and supporting them to better manage their disease. There is evidence that higher nurse staffing levels are associated with better patient outcomes in acute care settings, but little is known about the outpatient setting. The objective of this study was to explore the impact of multidisciplinary team care with abundant nurse staffing levels on patient-reported outcome measures (PROMs) among patients with IBD, encompassing Crohn's disease (CD) and ulcerative colitis (UC), in clinical remission. METHODS: Patients with IBD in clinical remission were included because disease activity influences the patient's subjective evaluation. A total of 499 valid responses from two different sources were analyzed: 318 from a specialized IBD clinic with abundant nurse staffing and a multidisciplinary care team (UC: 83, CD: 235) and 181 from an online survey panel (UC: 109, CD: 72). The IBD Self-Efficacy Scale (IBD-SES) and the difficulty of life scale (DLS) were used as disease-specific PROMs. RESULTS: In two multiple regression models adjusted by background characteristics (age, sex, diagnosis [UC/CD], employment status, use of biologics, and disease duration) using the IBD-SES or DLS as a dependent variable, the responses from clinic patients showed a more favorable score (higher self-efficacy or lower difficulty) than the online responses. CONCLUSIONS: Multidisciplinary team care with abundant nurse staffing may improve self-efficacy and ease difficulties of life among patients with IBD in clinical remission. These results could help bring attention to nurse staffing in an outpatient setting, which has previously been overlooked, and be the first to provide evidence of its importance in encouraging enhanced staffing levels.

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 the nursing practice environment, nurse staffing, patient surveillance and escalation of care on patient mortality: A multi-source quantitative study.

BACKGROUND: A favourable nursing practice environment and adequate nurse staffing have been linked to reduced patient mortality. However, the contribution of nursing care processes such as patient surveillance and escalation of care, on patient mortality is not well understood. OBJECTIVE: The aim of this study was to investigate the effect of the nursing practice environment, nurse staffing, missed care related to patient surveillance and escalation of care on 30-day inpatient mortality. DESIGN: A multi-source quantitative study including a cross-sectional survey of nurses, and retrospective data extracted from an audit of medical and admission records. SETTING(S): A large tertiary teaching hospital (600 beds) in metropolitan Sydney, Australia. METHODS: Data on the nursing practice environment, nurse staffing and missed care were obtained from the nursing survey. Patient deterioration data and patient outcome data were collected from the medical and admission records respectively. Logistic regression models were used to examine the association between the nursing practice environment, patient deterioration and 30-day inpatient mortality accounting for clustering of episodes within patients using generalised estimating equations. RESULTS: Surveys were completed by 304 nurses (84.5 % female, mean age 34.4 years, 93.4 % Registered Nurses) from 16 wards. Patient deterioration data was collected for 30,011 patient deterioration events and 63,847 admitted patient episodes of care. Each additional patient per nurse (OR = 1.22, 95 % CI = 1.04-1.43) and the presence of increased missed care for patient surveillance (OR = 1.13, 95 % CI = 1.03-1.23) were associated with higher risk of 30-day inpatient mortality. The use of a clinical emergency response system reduced the risk of mortality (OR = 0.82, 95 % CI = 0.76-0.89). A sub-group analysis excluding aged care units identified a 38 % increase in 30-day inpatient mortality for each additional patient per nurse (OR = 1.38, 95 % CI = 1.15-1.65). The nursing practice environment was also significantly associated with mortality (OR = 0.79, 95 % CI: 0.72-0.88) when aged care wards were excluded. CONCLUSIONS: Patient mortality can be reduced by increasing nurse staffing levels and improving the nursing practice environment. Nurses play a pivotal role in patient safety and improving nursing care processes to minimise missed care related to patient surveillance and ensuring timely clinical review for deteriorating patients reduces inpatient mortality. TWEETABLE ABSTRACT: Patient mortality can be reduced by improving the nursing practice environment & increasing the number of nurses so that nurses have more time to monitor patients. Investing in nurses results in lower mortality and better outcomes. #PatientSafety #NurseStaffing #WorkEnvironment #Mortality.

Diverse perspectives on unit-level nurse staffing ratios in medical-surgical units: A Delphi policy analysis.

BACKGROUND: Appropriate staffing is essential to acute care delivery. Staffing ratio policy generates controversy. PURPOSE: This study examines perspectives on unit-level nurse-to-patient ratio policy in adult medical-surgical units. METHOD: Delphi methodology uses an invited diverse panel to analyze a policy's effects. Panelists completed iterative surveys about the impact they expect from unit-level ratio policy. FINDINGS: Panelists demonstrated moderate agreement that the proposed policy could increase staffing levels, decrease patient length of stay, and reduce nurse attrition. Other potential outcomes included reducing staffing in units above the minimum and increasing short-term costs. Panelists agreed that the policy could increase patient safety and nurse satisfaction and did not agree about the effect on long-term cost and innovation. Panelists also anticipated a mostly positive effect on patients and nurses. DISCUSSION: Policies that set unit-level nurse-to-patient ratios offer a potential strategy to improve medical-surgical staffing. Policy design should consider the range of expected outcomes.

Working on differentiated nursing practices in hospitals: A learning history on enacting new nursing roles.

OBJECTIVE: This study aims to better understand how new future-oriented nursing roles are enacted in a general hospital. DESIGN: A learning history, that is, a participatory action-oriented research design to explore and foster organizational learning. METHODS: Data collection consisted of a (historical) document analysis, the shadowing of differentiated nursing practices (36 h), 22 open interviews, 4 oral history interviews, 2 focus groups and a podcast series (7 h) created with participants. RESULTS: The data gathered revealed three important themes regarding enacting new nursing roles: (1) stretching the nature of nursing work, (2) using earlier experiences and (3) collectively tackling taboos. CONCLUSIONS: Differentiated nursing practices and enacting new nursing roles have long and complex histories. Attempts to differentiate are often met with resistance from within the nursing profession. This study shows how the new role of nurse coordinator was negotiated in nursing teams. With a bottom-up approach focused on collective responsibilities. By acknowledging and reflecting on the past, spaces were enacted in which the role of nurse coordinator became one role, among others, in the delivery of patient care. IMPACT: This study provides an innovative perspective on differentiated nursing practices by focusing on the past, the present and the future. We found that local, situated conditions can be taken as starting points when new nursing roles are enacted. In addition, shifting focus from individual nursing roles to nursing team development, emphasizing collective responsibilities, softens strong (historically) grown emotions and creates spaces in which new roles become negotiable. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Nurse Staffing, Work Hours, Mandatory Overtime, and Turnover in Acute Care Hospitals Affect Nurse Job Satisfaction, Intent to Leave, and Burnout: A Cross-Sectional Study.

Objectives: This study examined the impact of nurse staffing, working hours, mandatory overtime, and turnover on nurse outcomes in acute care hospitals. Previous studies have focused on the single characteristics of sub-optimal nurse staffing but have not considered them comprehensively. Methods: Data were collected in July-September 2022 using convenience sampling and an online survey (N = 397). For the analysis, 264 nurses working as staff nurses at 28 hospitals met the inclusion criteria. Univariate analysis and multivariable generalized estimating equation (GEE) were performed. Results: Both nurse staffing (ß = -0.036, standard error [SE] = 0.011) and turnover (ß = -0.006, SE = 0.003) were significant factors affecting job satisfaction. In the multivariable GEE, only mandatory overtime (ß = 0.395, SE = 0.116) was significantly related to intent to leave. Nurse staffing, work hours, mandatory overtime, and turnover were not significantly related to burnout. Subjective health status and workload were significantly associated with burnout. Conclusion: Nurse staffing policies and improvement programs in hospitals should be implemented to improve nurses' job satisfaction. Labor policy should ban mandatory overtime.

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 development and implementation of the district nursing Welsh Levels of Care Tool.

District nurses provide a vital service to individuals and their families and carers in the community. With increasing complexity of care and changes in the needs of the UK population, developing evidence-based workforce and workload tools which are fit for purpose is essential. This article describes the development, piloting and implementation of the District Nursing Welsh Levels of Care (DN WLoC), acuity and dependency tool which has been designed to be used alongside nurses professional judgment, to evidence the acuity and dependency of patients, and to help inform decisions of nurse staffing requirements in district nursing services. The initial pilot successfully achieved its objective and demonstrated that the draft DN WLoC tool is applicable in practice by district nurses across Wales, with limited but positive findings in the reliability and validity of the WLoC tool when applied in clinical practice.

Organizational Context and Facilitation Interactions on Delirium Risk in Long-Term Care: A Cross-Sectional Study.

OBJECTIVES: Organizational context (eg, leadership) and facilitation (eg, coaching behaviors) are thought to interact and influence staff best practices in long-term care (LTC), including the management of delirium. Our objective was to assess if organizational context and facilitation-individually, and their interactions-were associated with delirium in LTC. DESIGN: Retrospective cross-sectional analysis of secondary data. SETTING AND PARTICIPANTS: We included 8755 residents from 281 care units in 86 LTC facilities in 3 Canadian provinces. METHODS: Delirium (present/absent) was assessed using the Resident Assessment Instrument-Minimum Data Set 2.0 (RAI-MDS 2.0). The Alberta Context Tool (ACT) measured 10 modifiable features of care unit organizational context. We measured the care unit's total care hours per resident day and the proportion of care hours that care aides contributed (staffing mix). Facilitation included the facility manager's perception of RAI-MDS reports' adequacy and pharmacist availability. We included unit managers' change-oriented organizational citizenship behavior (OCB) and an item reflecting how often care aides recommended policy changes. Associations of organizational context, facilitation, and their interactions with delirium were analyzed using mixed-effects logistic regressions, controlling for covariates. RESULTS: Delirium symptoms were prevalent in 17.4% of residents (n = 1527). Manager-perceived adequacy of RAI-MDS reports was linked to reduced delirium symptoms [odds ratio (OR) = 0.63]. Higher care hours per resident day (OR = 1.2) and an available pharmacist in the facility (OR = 1.5) were associated with increased delirium symptoms. ACT elements showed no direct association with delirium. However, on care units with low social capital scores (context), increased unit managers' OCB decreased delirium symptoms. On care units with high vs low evaluation scores (context), increased staffing mix reduces delirium symptoms more substantially. CONCLUSIONS AND IMPLICATIONS: Unit-level interactions between organizational context and facilitation call for targeted quality improvement interventions based on specific contextual factors, as effectiveness may vary across contexts.

Nurses' intention to leave, nurse workload and in-hospital patient mortality in Italy: A descriptive and regression study.

Higher nurse-to-patient ratios are associated with poor patient care and adverse nurse outcomes, including emotional exhaustion and intention to leave. We examined the effect of nurses' intention to leave and nurse-patient workload on in-hospital patient mortality in Italy. A multicentered descriptive and regression study using clinical data of patients aged 50 years or older with a hospital stay of at least two days admitted to surgical wards linked with nurse variables including workload and education levels, work environment, job satisfaction, intention to leave, nurses' perception of quality and safety of care, and emotional exhaustion. The final dataset included 15 hospitals, 1046 nurses, and 37,494 patients. A 10 % increase in intention to leave and an increase of one unit in nurse-patient workload increased likelihood of inpatient hospital mortality by 14 % (odds ratio 1.14; 1.02-1.27 95 % CI) and 3.4 % (odds ratio 1.03; 1.00-1.06 95 % CI), respectively. No other studies have reported a significant association between intention to leave and patient mortality. To improve patient outcomes, the healthcare system in Italy needs to implement policies on safe human resources policy stewardship, leadership, and governance to ensure nurse wellbeing, higher levels of safety, and quality nursing care.

How much do we know about nursing care delivery models in a hospital setting? A mapping review.

To deal with the upcoming challenges and complexity of the nursing profession, it is deemed important to reflect on our current organization of care. However, before starting to rethink the organization of nursing care, an overview of important elements concerning nursing care organization, more specifically nursing models, is necessary. The aim of this study was to conduct a mapping review, accompanied by an evidence map to map the existing literature, to map the field of knowledge on a meta-level and to identify current research gaps concerning nursing models in a hospital setting. Next to nursing models, two other organizational correlates seem to be of importance when looking at the organization of nursing care: nurse staffing and skill mix. Although it seems that in recent research, the theoretical focus on the organization of nursing care has been left behind, the increasingly complex healthcare environment might gain from the use of nursing theory, or in this case, care delivery models. As almost no fundamental studies have been done toward the combination of care delivery models, nurse staffing, and skill mix, those elements should be taken into account to fully capture the organization of nursing care in future research.

Association between intensive care unit nursing grade and mortality in patients with cardiogenic shock and its cost-effectiveness.

BACKGROUND: Despite the high workload of cardiac intensive care unit (ICU), there is a paucity of evidence on the association between nurse workforce and mortality in patients with cardiogenic shock (CS). This study aimed to evaluate the prognostic impact of the ICU nursing grade on mortality and cost-effectiveness in CS. METHODS: A nationwide analysis was performed using the K-NHIS database. Patients diagnosed with CS and admitted to the ICU at tertiary hospitals were enrolled. ICU nursing grade was defined according to the bed-to-nurse ratio: grade1 (bed-to-nurse ratio < 0.5), grade2 (0.5 ≤ bed-to-nurse ratio < 0.63), and grade3 (0.63 ≤ bed-to-nurse ratio < 0.77) or above. The primary endpoint was in-hospital mortality. Cost-effective analysis was also performed. RESULTS: Of the 72,950 patients with CS, 27,216 (37.3%) were in ICU nursing grade 1, 29,710 (40.7%) in grade 2, and 16,024 (22.0%) in grade ≥ 3. The adjusted-OR for in-hospital mortality was significantly higher in patients with grade 2 (grade 1 vs. grade 2, 30.6% vs. 37.5%, adjusted-OR 1.14, 95% CI1.09-1.19) and grade ≥ 3 (40.6%) with an adjusted-OR of 1.29 (95% CI 1.23-1.36) than those with grade 1. The incremental cost-effectiveness ratio of grade1 compared with grade 2 and ≥ 3 was $25,047/year and $42,888/year for hospitalization and $5151/year and $5269/year for 1-year follow-up, suggesting that grade 1 was cost-effective. In subgroup analysis, the beneficial effects of the high-intensity nursing grade on mortality were more prominent in patients who received CPR or multiple vasopressors usage. CONCLUSIONS: For patients with CS, ICU grade 1 with a high-intensity nursing staff was associated with reduced mortality and more cost-effectiveness during hospitalization compared to grade 2 and grade ≥ 3, and its beneficial effects were more pronounced in subjects at high risk of CS.

Is the National Early Warning Score able to identify nursing activity load? A prospective observational study.

BACKGROUND: The National Early Warning Score scale correlates well with the intensity of the patient's acute condition. It could also correlate with the nursing activity load and prove useful in defining and redistributing nursing resources based on the acuity of patients. AIM: To assess whether patients' National Early Warning Score at hospital admission correlates with objective nursing demands and can be used to optimize the distribution of available care resources. METHODS: This single-center prospective study included patients admitted to the Department of Internal Medicine at the Civil Hospital in Altovicentino (Italy) between September 1 and December 31, 2022. Nursing activities were recorded for the first three days after admission and standardized to the daily mean as performance/5 min/patient/day. Linear regression was used to assess the correlation between nursing demands for different National Early Warning Scores. RESULTS: This study included 333 patients. Their mean National Early Warning Score was 3.9 (standard deviation: 2.9), with 61 % (203/333) in the National Early Warning Score <5 category, 19.5 % (65/333) in the National Early Warning Score 5-6 category, and 19.5 % (65/333) in the National Early Warning Score >6 category. Their average daily care requirements increased from 22 (16-30) activities/5 min/patient/day in the low National Early Warning Score category to 30 (20-39) activities/5 min/patient/day in the intermediate National Early Warning Score category (p < 0.001) and 35 (23-45) activities/5 min/patient/day in the high National Early Warning Score category (p < 0.001). CONCLUSION: The National Early Warning Score correlates with nursing care activities for patients with an acute condition and can be used to optimize the distribution of available care resources.

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.

It's Time! The Path for Nursing Reimbursement Reform.

Since the COVID-19 pandemic, nurses and nurse leaders are increasingly vocal about chronic understaffing and the impact the staffing crisis continues to have on nurses' well-being and patient outcomes. The American Nurses Association's Nurse Staffing Task Force addressed the importance of staffing standards as a critically needed step toward improving patient and population health outcomes. Against the backdrop of ongoing nursing shortages, hospital leaders have been hesitant to embrace staffing ratios, expressing concerns about their ability to hire and retain sufficient nursing staff, as operational revenue margins remain thin and nursing labor is costly. This article explicates structural issues within the current nursing reimbursement model that harms hospitals' business case for investments in nurse staffing and work environments. We argue that nurses must advocate for nursing reimbursement reform to increase the nursing workforce and improve nurse staffing and work environments. Such reform is necessary to support sustained hospital investments, financial philosophies, and approaches to meaningfully address and improve nurse staffing.

Determination of Nursing Care Times Based on the Perroca Patient Classification Instrument in the Inpatient Oncology Unit: A Mixed Method Study.

OBJECTIVES: The aim of this study was to determine the daily nursing care times of hospitalized inpatient oncology unit patients according to degree of acuity using the Perroca Patient Classification tool. DATA SOURCES: This study used a mixed method sequential explanatory design. The "Nursing Activity Record Form" and "Perroca Patient Classification Instrument" were used for quantitative data collection, and direct observation was performed for 175 hours via time-motion study. Descriptive statistics, between-group comparison, and correlation analysis were used for data analysis. Using a semistructured questionnaire, qualitative data were collected from individual in-depth interviews with seven nurses who participated in the quantitative part of the study. Qualitative data were analyzed by thematic analysis. The reporting of this study followed GRAMMS checklist. CONCLUSIONS: As a result of the integration of quantitative and qualitative data, daily nursing care duration was determined as 2 to 2.5 hours for Type 1 patients, 2.6 to 3.5 hours for Type 2 patients, 3.6 to 4.75 hours for Type 3 patients, and 4.76 to 5.5 hours for Type 4 patients. The findings showed that in an inpatient oncology unit, nursing care hours increased as patients' Perroca Patient Classification Instrument acuity grade increased; thus, the instrument was discriminative in determining patients' degree of acuity. IMPLICATIONS FOR NURSING PRACTICE: Nurse managers can utilize this study's results to plan daily assignments that are sensitive to patient care needs. The results can also help nurse managers to identify relationships between nurse staffing and patient outcomes at the unit level, as well as to develop ways to analyze such relationships.

Unit-Based Nurses' Development of a Couplet Care Acuity Scoring Tool.

OBJECTIVE: To evaluate content validity (CV) and interrater reliability (IRR) of an acuity scoring tool developed for the couplet care/postpartum/nursery patient population and to determine if there was agreement between supervisor or director scoring and staff scoring. DESIGN: A scoring tool to assess the acuity of the couplet care/postpartum/nursery patients was developed. SETTING: Two hospitals: one Level 2 hospital, one Level 3 hospital. Unit-based patient care councils participated in the development, and all couplet care nurses participated in scoring patients for testing. MEASUREMENTS: The final tool was evaluated for CV and IRR using expert review, universal agreement scores, and discriminant content validation. RESULTS: Regarding CV for the Couplet Care Acuity Scoring Tool, the average of the number of experts in agreement divided by the total number of experts across all items was 1.00. Regarding IRR, the intraclass correlation coefficient was 0.85, indicating that the tool is valid and reliable for the study sample. CONCLUSION: The tool was reliable and valid in this study. Future testing is needed with larger samples and different health care facilities.