Matching Nursing Assignment to Patients' Acuity Level: The Road to Nurses' Satisfaction

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.

Consistently Exploring Nurse Staffing and Neurocritical Care Unit Turnover

ABSTRACT

BACKGROUND: Staffing models within nursing units have long been a hot topic of discussion. The COVID-19 pandemic exacerbated this discussion by straining the national nursing environment and workforce. Before the pandemic, the neuroscience intensive care unit (NSICU) primarily used an acuity-adjusted staffing model and aimed for a nurse-to-patient ratio of 1:1.5. During and after the pandemic, the NSICU was forced to primarily use a centralized staffing model because of the increased turnover in the hospital at large and a rise in patient census. METHODS : Unit census data in an NSICU were tracked before, during, and after the pandemic alongside utilization of a centralized staffing model in the hospital at large. RESULTS : During this time, the NSICU saw a statistically significant increase in average nurse-to-patient ratio and incidences of both floating and tripled assignments. The NSICU simultaneously saw a 180% increase in nursing turnover. CONCLUSION : Although we cannot prove that a centralized staffing model is directly responsible for higher nursing turnover, its utilization led to greater incidence of poor staffing-reflected in deviation from the nurse-to-patient ratio goal of the unit. Nurse staffing concerns play a large role in nurse satisfaction in the workforce: staffing shortages have been described both as a precursor to and as a consequence of increased nursing turnover.

Examining Nurse and Patient Factors Before and After Implementing an Oncology Acuity Tool: A Mixed Methods Study

Background and Purpose: To evaluate the nurse documentation compliance, pressure injury compliance, and fall prevention compliance before and after implementing an oncology acuity tool (OAT) at a specialized cancer center in Jordan. Methods: A mixed methods design was used. A qualitative approach was employed using a semistructured interview with 15 nurses selected by purposive sampling. In contrast, the quantitative approach included pre- and postdata obtained to identify the role of adopting the OAT in improving nursing documentation and applying fall and pressure injury-prevention precaution measures. Results: The thematic analysis developed seven themes, including oncology acuity score (OAS) and assignment processes, OAS and patient outcomes, OAS and nurse outcomes, limitations of the OAT, driving forces, restraining forces, and recommendations or suggestions. The results showed significant improvements in nursing documentation (p =.0385), application of pressure injury (p ≤ .00001), and falling precaution measures (p ≤ .00001). Conclusion: Nurse assignment, nursing compliance, and patients' and nurses' outcomes improved after utilizing the OAT.

Real requirements of nursing activities and patient-related factors related to nursing overload in an internal medicine department

Adequate nursing care can be decisive for the outcome of a patient admitted to an internal medicine ward. Individual prediction of nursing activity at the time of a patient's admission could improve the work process. This study aimed to assess the objectively assessed nursing requirements of patients admitted to a medical setting and to identify clinical factors that correlate with high demands. This is a prospective and pragmatic observational study that enrolled patients admitted to the Internal Medicine ward at the Altovicentino Civil Hospital (Italy) between September 1 and December 31, 2022. Nursing activities were recorded for the first 3 days of hospitalization and standardized as performance/5 min/patient. Patients requiring more than the 75th percentile of performance/5 min/patient were considered nursing over-activities. Multivariable models were used to assess patient-related risk factors associated with nursing over-activity. This study enrolled 333 patients (mean age: 74.2; 55.6% male). Their mean Charlson Comorbidity Index (CCI), Clinical Frailty Scale (CFS), Chronic Barthel Index, and Sistema Informtativo della Performance Infermieristica (SIPI) scores were 5.3, 4.2, 62.4, and 53.7, respectively. Mean National Early Warning System (NEWS) on admission was 3.9 (standard deviation: 2.8). A median of 73 (interquartile range [IQR]: 54-109) nursing care activities/5 min/patient were performed. NEWS score (odds ratio [OR]: 1.372, 95% confidence interval [95%CI]: 1.216-1.547, p < 0.001) and Acute Barthel Index (OR: 0.983, 95%CI: 0.967-0.999, p = 0.041) were independent risk factors for nursing over-activities. NEWS and the Acute Barthel Index could help reorganize nursing resources within internal medicine wards, allowing for an equal distribution between patients who require more resources and those who require less.

Clinical decision support system for clinical nurses' decision-making on nurse-to-patient assignment: a scoping review protocol

INTRODUCTION

Optimal nurse-to-patient assignment plays a crucial role in healthcare delivery, with direct implications for patient outcomes and the workloads of nursing staff. However, this process is highly intricate, involving a multitude of factors that must be carefully considered. The application of a clinical decision support system (CDSS) to support nursing decision-making can have a positive impact not only on patient outcomes but also on nursing efficiency. This scoping review aims to explore the implementation of CDSS in the decision process of optimal nurse-patient assignment (NPA).

METHODS AND ANALYSIS

This scoping review will follow a stage of the Arksey and O'Malley framework. It will also be based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews' (PRISMA-ScR) guidelines. The research primarily aims to identify studies' findings on applying CDSSs in the NPA process. Hence, academic and grey literature articles from six international bibliographic databases (ie, MEDLINE via PubMed, EMBASE via Ovid, CINAHL via EBSCOhost, IEEE Xplore, Scopus, ProQuest Dissertations and Theses Global) will be considered, where search strategies will be tailored to each database. The literature search will be conducted in February 2024, and the identified studies will be independently screened by two primary reviewers. After extracting data, the qualitative data will be analysed thematically, and the quantitative data will be subjected to descriptive statistics. The research is scheduled to conclude in December 2024.

ETHICS AND DISSEMINATION

Ethical approval is not required as primary data will not be collected in this study. The findings of this study will be disseminated through peer-reviewed publications and conference presentations.

Implementing a patient acuity tool: Perceived effectiveness for more equitable staff assignments

PURPOSE

This study aimed to assess the acceptability, relevance, and effectiveness of a patient acuity tool (PAT) among part-time and full-time RNs.

METHODS

A pre- and post-test intervention was used to evaluate a PAT among part-time and full-time RNs on a 28-bed telemetry unit at a Magnet®-designated hospital. An eight-item PAT questionnaire measured nurse acceptability. Relevance was evaluated using the RN Opinion of Relevance of Concepts of the PAT Questionnaire, and effectiveness was evaluated using the RN Opinion of Effectiveness of the PAT Questionnaire.

RESULTS

A total of 22/33 (66.6%) RNs participated and completed the PAT questionnaire that measured nurse acceptability of the PAT assessment process. Statistically significant differences were demonstrated between two out of eight variables pre-post intervention; "the way we currently evaluate patient acuity assists the charge nurse in making nurse-patient assignments" (t 3.070, df 22, P = .006), "the way we currently evaluate patient acuity is an accurate assessment of acuity" (t 2.390, df 22, P = .026).

CONCLUSION

Acuity tools should be specific for a nursing unit and adapt to staffing and patient needs, which can include a change in a patient's condition, unexpected discharges and/or admissions, and psychosocial components.

Nursing knowledge and perceptions of COVID-19 pandemic in Jordanian intensive care units

Objectives

The goal of this study was to find out the level of knowledge and perception among the nurses in intensive care units (ICUs).

Methods

The study was set up in a cross-sectional design. During the COVID-19 pandemic, nurses completed a self-reporting questionnaire to assess their knowledge and perception of the pandemic. 182 ICU nurses were asked for information. We used statistical analyses that were both descriptive and inferential.

Results

There was a statistically significant link between nurses' knowledge and their years of experience (r = 0.15, p = .03), their experience with COVID-19 infection (r = 0.83, p = .01), and having a first-degree relative who had COVID-19 (r = 0.17, p = .02). Also, nurses knew a fair amount about COVID-19. There was a statistically significant link between how nurses felt and how they were trained to care for COVID-19 patients (r = 0.15, p = .034), nurses who had COVID-19 infection (r = 0.30, p = .001), and having a first-degree relative who had COVID-19 infection (r = 0.18, p = .014).

Conclusion

The Jordanian nurses' understanding of COVID-19 disease is categorized as average because the majority of their responses ranged between 56 % and 86 %. The nurses' knowledge was related to their length of experience in the field, and their perceptions were related to how they had been trained to care for COVID-19 patients.

Effects of Implementing an Acuity Tool on a Psychiatric Intensive Care Unit

BACKGROUND

Staff shortages, reduced budgets, and high acuity of violent psychiatric patients can create challenges in psychiatric intensive care units (PICUs).

LOCAL PROBLEM

Staffing of the psychiatric unit was based on patient census rather than evidence-based practices.

METHODS

A pre-/postintervention design was used to examine changes in nursing satisfaction and patient outcomes as measured with the National Database of Nursing Quality Indicators (NDNQI) survey results.

INTERVENTIONS

A psychiatric specific acuity tool was implemented on the PICU of a Veterans Administration hospital.

RESULTS

After an initial decrease related to the COVID-19 pandemic, total acuity and the total number of nurses remained relatively stable while the unit census declined. NDNQI survey results improved with the largest being a 52-percentile increase for the quality-of-care summary measure.

CONCLUSIONS

An acuity tool can help standardize practice, determine fair patient assignments among staff, increase nurse satisfaction, and promote best practices for patient safety.

Risk of Malnutrition and Clinical Outcomes Among Mechanically Ventilated Patients in Intensive Care Units

BACKGROUND

Critically ill patients who are mechanically ventilated are at a high risk for malnutrition, which is associated with poor clinical outcomes.

AIM

The aim of this study was to determine whether the modified version of Nutrition Risk in the Critically Ill (mNUTRIC) score predicts patients' clinical and functional outcomes in intensive care units (ICUs) in Jordan.

METHODS

A prospective, observational, quantitative research design was used. A convenience sample of 129 mechanically ventilated patients was recruited from ICUs in 7 hospitals across the different Jordanian health care sectors. Each patient was assessed and scored by the mNUTRIC tool.

RESULTS

Of the total 129 mechanically ventilated patients, the mean (SD) age of critically ill participants was 66.38 (17.46) years, 69.8% of the participants were male (n = 90), and 30.2% were female (n = 39). Approximately 88.4% of mechanical ventilator patients were at a high risk of malnutrition at the time of ICU admission. Overall, high mNUTRIC score (≥5) was significantly associated with MV duration (P = .004), ICU length of stay (P = .002), mortality (odds ratio, 5.43; P = .005), and functional outcomes (odds ratio, 0.184; P = .009).

RELEVANCE TO CLINICAL PRACTICE

Using nutrition risk screening tools such as the mNUTRIC score will add great benefits to nursing practice through identifying patients who are at a high risk of malnutrition within the first 48 hours of their admission in the ICU.

A New Patient Acuity Tool to Support Equitable Patient Assignments in a Progressive Care Unit

Making fair and equitable staffing decisions and patient assignments created complexities and undue nursing dissatisfaction on a 20-bed progressive care unit. Common themes shared by the nursing staff included inadequate staffing ratios, increased workload, and unease for patient safety. On the basis of these concerns, a unit-based needs assessment provided insight into what perceived and actual barriers exist preventing nurses from providing excellent care. Information gathered helped determine what could be done to overcome some barriers, and performing a comprehensive unit profile assessment allowed for better insight into how the unit was currently functioning. A comprehensive review of literature was undertaken to examine articles related to patient acuity utilizing the electronic databases CINAHL, PubMed, and MEDLINE. Key words and phrases included the following: acuity, patient acuity, acuity tools, progressive care acuity, nurse-patient assignment, workload, nursing assignments, and equitable staffing. Utilizing the results of the nurse survey, and information gained from articles gathered during the literature review, a patient acuity tool was created. The tool was believed to be an accurate representation of the patients' acuity, and the majority of charge nurses reported that they utilized the patient acuity tool score when making nurse-patient assignments. Overall staff satisfaction and perceptions of nurse-patient assignment equity were improved.

Implementation of the MATRIX Staffing Grid Improves Nurse Satisfaction With Rehabilitation Unit Staffing

ABSTRACT

BACKGROUND: Information on nurse satisfaction and unit acuity is scarce in the literature. The purpose of this study is to evaluate the effect of the MATRIX Staffing Grid (MSG) on nurse assignment satisfaction in a 20-bed inpatient rehabilitation facility. METHODS: Prospective systematic implementation study of the MSG occurred in 5 phases: development, baseline, run-in, implementation, and sustainability. Pretest/posttest nursing satisfaction data were analyzed using Wilcoxon-Mann-Whitney tests. RESULTS: Analysis of 128 satisfaction surveys demonstrated that the median total satisfaction score increased by 35% after MSG implementation (P < .05), with no change in patient satisfaction or adverse event rates. CONCLUSION: A systematic approach to implementation of the MSG evidence-based practice significantly improved nursing satisfaction with patient assignment in a way that addressed specific needs. The MSG has now been adopted into practice at our institution. The MSG may be feasible for implementation in inpatient rehabilitation units to improve staffing satisfaction.

Identifying Patterns of Turnover Intention Among Alabama Frontline Nurses in Hospital Settings During the COVID-19 Pandemic

Introduction

Current research about frontline nurse stress and turnover intention lacks context related to rural communities’ plight in providing organizational resources during the current COVID-19 pandemic. These implications have been particularly underexamined in the United States, whose regional differences may influence how frontline nurses perceive the access and utility of organizational resources. This study investigates if anxiety and stress while working during the current COVID-19 pandemic contribute to frontline nurses’ desire to leave their current position in Alabama hospital settings.

Material and Methods

A cross-sectional survey was developed and distributed as a Qualtrics survey to frontline nurses using social media and professional contacts. A total of 111 frontline nurse respondents within May 19–June 12, 2020 were included in this study.

Results

A significant correlation was found between gender (p= 0.002), marital status (p= 0.000) and seniority (p= 0.049) on turnover intention. A nurse’s perceived anxiety and stress related to their patients’ acuity (r= 0.257, p= 0.004), their personal health as a risk factor (r= 0.507, p= 0.000), their patient assignments (r= 0.239, p= 0.01), their personal protective equipment (r= 0.412, p= 0.000), and their psychological support (r= 0.316, p= 0.001) correspond to higher turnover intention among nurses working with patients infected with COVID-19.

Conclusion

Perceived resource loss in task autonomy, PPE, and psychosocial support increased turnover intention among frontline nurses in Alabama. Research is needed to understand how intrinsic motivations and social support influence individual nurse staff’s perceptions of resource loss and job demands. Further, more research is necessary to examine the implications of rurality and place in discussing turnover intention and organizational resources across multiple health systems.