The association between nurse staffing and inpatient mortality: A shift-level retrospective longitudinal study

Workload and short sickness absences in a cohort of Finnish hospital employees

This article used register data on day-to-day working hours of hospital employees combined with patient characteristics at work unit (wards) level to measure workload and its implications for short, self-certified sickness absences. We measured statistically the average nursing treatment burden of different patient mixes in hospital wards, and then analyzed the overall workload (intensity) of working days by comparing it to the actual available nursing workforce. We found that a significant part of the workload variation occurred between working days, and it was related to unexpected changes in the number of employees. In atypical situations a long work shift was associated with caring for patients with fewer resources. The high workload of a day increased the risk of short sickness absences along the following 3-week period. The results show that managing short-term workload variability should be a key aim from the perspective of well-being at work, and that combining different data sources can provide novel, important insights to the measurement of workload.

A New Perspective on Missed Nursing Care in the Emergency Department: A Descriptive Cross-Sectional Study

INTRODUCTION

This descriptive cross-sectional study describes missed nursing care, quality of care, and patient safety rated by nursing staff in emergency departments. Required patient care that is omitted or delayed (missed nursing care) is associated with poorer quality of care and increased risk for adverse events, but studies are scarce in the emergency setting.

METHODS

Emergency registered nurses and nursing assistants (N=126) at 2 Swedish emergency departments participated in the study. The MISSCARE survey-Swedish version was used for data collection.

RESULTS

Emergency nursing staff assessed that nursing care is frequently missed in the emergency department. More than half of the 24 nursing care items were reported as missed by over 50% of the participants, and registered nurses rated most items significantly higher compared to nursing assistants. Half of the nursing staff perceived quality of care to be good, but nearly the same proportion perceived patient safety as poor. Registered nurses viewed both quality and safety worse than nursing assistants.

DISCUSSION

The present study found very high levels of missed nursing care in most nursing items. Results indicate that nursing staff in emergency departments need to prioritize between the tasks and that some tasks may not be relevant in the context. The emergency setting focuses primarily on identifying signs of urgency, assessing patients, performing interventions, and diagnostics. However, even items that seemed to be prioritized, such as reassessment of vital signs, had a surprisingly high level of missed nursing care in comparison to in-hospital wards.

Long-term impact of COVID-19 on nursing and care delivery: A national survey among anaesthetic and critical care nurses

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has put an exceptional strain on intensive care delivery and has significantly impacted nursing practice in the intensive care unit, consequently affecting nurses' working environment and health. Little is known about the long-term impact on the nursing workforce and care delivery in intensive care and anaesthetic departments.

AIM/OBJECTIVE

This cross-sectional study aimed to describe the long-term impact of the COVID-19 pandemic on the nursing profession and nursing care from the perspectives of anaesthetic and critical care nurses.

METHODS

In this study, an online questionnaire with open- and close-ended questions was distributed to registered nurses working in anaesthesia and intensive care between February 8 and March 7, 2022. The data were analysed using content analysis and descriptive statistics.

RESULTS

Of the 514 registered nurses who responded to the questionnaire, 256 (50%) worked in anaesthesia care and 215 (42%) in intensive care. The long-term impact of COVID-19 was expressed in three categories: nursing care on hold, insights and experiences forming a new professional identity, and the impact of organisational conditions on the profession. Critical care nurses considered nursing care comparable to that before the COVID-19 pandemic. Nurse anaesthetics experienced changes in nursing tasks and activities compared to that before the COVID-19 pandemic.

CONCLUSIONS

Nursing care is still influenced by the pandemic due to the lack of resources and persistent high workload and needs to be reclaimed and prioritised. Re-establishing high-quality nursing care is a shared responsibility of the organisation and nursing profession, and the organisation needs to create prerequisites for this. Furthermore, nurses' views and insights into their profession developed both positively and negatively during the pandemic, which must be further considered, including the profession's values.

Nursing care left undone in psychiatric hospitals and its association with nurse staffing: A cross-sectional multi-centre study in Switzerland

INTRODUCTION

Nursing care left undone occurs when nurses omit activities because of resource shortfalls. Higher levels of nursing care left undone are associated with worse nurse staffing and organizational factors. Plentiful evidence from acute, long-term and community care supports such associations; however, mental healthcare settings are under-studied.

AIM

The aim of the study was to describe nursing care left undone's frequency in mental health inpatient settings and explore its association with nurse staffing levels.

METHOD

As part of the multi-centre cross-sectional MatchRN Psychiatry study, data were collected by questionnaire from 114 units in 13 Swiss psychiatric hospitals. Nursing care left undone was analysed describing frequencies descriptively and used linear mixed models to assess its association with staffing.

RESULTS

Data from 994 nurses were analysed. The most commonly omitted activities were evaluating nursing processes (30.5%), formulating nursing diagnoses (27.4%) and defining care objectives (22.7%). Nursing care left undone was higher in units with low staffing levels.

DISCUSSION

As in somatic care settings, in psychiatric hospitals, 'indirect' care activities are most commonly omitted.

IMPLICATIONS FOR PRACTICE

This study highlights factors affecting the frequency of nursing care left undone, including staffing levels and perceived leadership. The findings emphasize the importance of nurse managers taking action to improve work environment factors.

Association of nurse understaffing and limited nursing work experience with in-hospital mortality among patients: A longitudinal register-based study

BACKGROUND

Although nurse understaffing and limited nursing work experience may affect hospital patients' risk of mortality, relatively little longitudinal patient-level evidence on these associations is available. Hospital administrative data could provide important information about the level of staffing, nurses' work experience and patient mortality over time.

OBJECTIVE

To examine whether daily exposure to nurse understaffing and limited nursing work experience is associated with patient mortality, using patient-level data with different exposure time windows and accounting for several patient-related characteristics.

METHODS

This longitudinal register-based study combined administrative data on patients (clinical database Auria) and employees (Titania® shift-scheduling) from one hospital district in Finland in 2013-2019, covering a total of 254,446 hospital stays in 40 units. We quantified nurse understaffing as the number of days with low nursing hours in relation to target hours (<90 % of the annual unit median), and limited work experience as the number of days with a low proportion of nurses with >3 years of in-hospital experience, and those aged over 25 (<90 % of the annual unit median). We used two survival model designs to analyze the associations between nurse understaffing and limited nursing work experience and the in-hospital mortality of the patients: we considered these exposures during the first days in hospital and as a cumulative proportion of days with suboptimal staffing during the first 30 days.

RESULTS

In total, 1.5 % (N = 3937) of the hospital stays ended in death. A 20 % increase in the proportion of days with nurse understaffing was associated with an increased, 1.05-fold mortality risk at the patient level (95 % confidence interval, 1.01-1.10). The cumulative proportion of days with limited nursing work experience, or the combination of nurse understaffing and limited work experience were not associated with increased risk of death among all patients. However, both indicators of limited nursing work experience were associated with an increased mortality risk among patients with comorbidities (HR 1.05, 95 % CI 1.02-1.08 and HR 1.05, 95 % CI 1.00-1.10, respectively).

CONCLUSIONS

Nurse understaffing was associated with a slight, but a potentially critical increase in patient in-hospital mortality. Limited nursing work experience was associated with increased in-hospital mortality in a subgroup of patients with comorbidities. Increased use of administrative data on planned and realized working hours could be a routine tool for reducing avoidable in-hospital mortality.

Nursing workforce characteristics and effect on life expectancy and under-five mortality in the ASEAN

AIM

To assess the effects of the nursing workforce and advanced nursing practice on the outcomes of patients and life expectancy, including mortality rates of under-five children in Cambodia, and to develop policy recommendations to increase the influence of the nursing workforce.

BACKGROUND

In low-middle-income nations, life expectancy and under-five mortality are important measures of public health. However, there is still a dearth of literature related to the nursing workforce in Southeast Asia.

METHOD

The authors retrieved the data from the World Nursing Report produced by the World Health Organization 2020 for 10 member states. The transparent reporting of a multivariable prediction model for individual prognosis or diagnosis checklist has guided this study. The univariate linear regression model was applied to categorize the potential predictors for each outcome assessment. In addition, the Spearman rank correlation test was selected to assess the potential predictors, and a multivariate statistical analysis was carried out for each of the five outcomes.

RESULTS

According to the study's findings, nurse density and advanced practice nursing improve both female and male life expectancy. The existence of advanced nursing roles is associated with decreased under-five mortality.

CONCLUSIONS

There are great opportunities to improve the nursing workforce within Cambodia and other Association of Southeast Asian Nations member states to increase patient outcomes. Investment in nursing is essential for improved patient outcomes.

IMPLICATIONS FOR NURSING AND HEALTH POLICY

Health policy investments in these projects and future initiatives intended to advance nurse density, education, and practice are based on this study's results. Policy initiatives should focus on increasing density because nursing appears to impact life expectancy and other outcomes.

Draining the specialized nursing brains, the emigration paradigm of Ghana: A cross-sectional study

AIM

The study aimed to determine the emigration intentions of specialist nurses (SNs) and ascertain the influencing factors, implications and mitigating factors in Ghana.

DESIGN

A cross-sectional study.

METHODS

The sample was composed of 225 participants conveniently selected from a tertiary facility in Ghana. A turnover intention scale and the researchers' developed questionnaire were used to collect the data between June 1 and September 30, 2021. Data were analysed through descriptive statistics and linear regression.

RESULTS

The composite mean score for specialist nurses' intention to migrate was high (mean = 3.43); and the push factors accounted for the intentions explaining 48.6% of the variation (R2  = 0.486, F(5, 219)  = 38.46, p < 0.001). The associated challenges of specialist nurses' emigration are increased cost of training new specialist nurses, poor quality of specialist nursing care, burnout syndrome among staff and poor patient health outcomes.

Developing a reflection and analysis tool (We-ReAlyse) for readmissions to the intensive care unit: A quality improvement project

BACKGROUND

Readmissions to the intensive care unit are associated with poorer patient outcomes and health prognoses, alongside increased lengths of stay and mortality risk. To improve quality of care and patients' safety, it is essential to understand influencing factors relevant to specific patient populations and settings. A standardized tool for systematic retrospective analysis of readmissions would help healthcare professionals understand risks and reasons affecting readmissions; however, no such tool exists.

PURPOSE

This study's purpose was to develop a tool (We-ReAlyse) to analyze readmissions to the intensive care unit from general units by reflecting on affected patients' pathways from intensive care discharge to readmission. The results will highlight case-specific causes of readmission and potential areas for departmental- and institutional-level improvements.

METHOD

A root cause analysis approach guided this quality improvement project. The tool's iterative development process included a literature search, a clinical expert panel, and a testing in January and February 2021.

RESULTS

The We-ReAlyse tool guides healthcare professionals to identify areas for quality improvement by reflecting the patient's pathway from the initial intensive care stay to readmission. Ten readmissions were analyzed by using the We-ReAlyse tool, resulting in key insights about possible root causes like the handover process, patient's care needs, the resources on the general unit and the use of different electronic healthcare record systems.

CONCLUSIONS

The We-ReAlyse tool provides a visualization/objectification of issues related to intensive care readmissions, gathering data upon which to base quality improvement interventions. Based on the information on how multi-level risk profiles and knowledge deficits contribute to readmission rates, nurses can target specific quality improvements to reduce those rates.

IMPLICATIONS FOR CLINICAL PRACTICE AND RESEARCH

With the We-ReAlyse tool, we have the opportunity to collect detailed information about ICU readmissions for an in-depth analysis. This will allow health professionals in all involved departments to discuss and either correct or cope with the identified issues. In the long term, this will allow continuous, concerted efforts to reduce and prevent ICU readmissions. To obtain more data for analysis and to further refine and simplify the tool, it may be applied to larger samples of ICU readmissions. Furthermore, to test its generalizability, the tool should be applied to patients from other departments and other hospitals. Adapting it to an electronic version would facilitate the timely and comprehensive collection of necessary information. Finally, the tool's emphasis comprises reflecting on and analyzing ICU readmissions, allowing clinicians to develop interventions targeting the identified problems. Therefore, future research in this area will require the development and evaluation of potential interventions.

Factors Influencing Perioperative Nurse Turnover: A Classic Grounded Theory Study

Perioperative nurse turnover rates range from 12% to 18.8%, and approximately 75% of perioperative managers reported at least one vacancy in 2021. Perioperative leaders are challenged to mitigate nurse turnover effectively because factors contributing to a nurse's decision to leave their job are not well defined. The purpose of this qualitative study using classic grounded theory was to explore perioperative nurses' turnover decision-making processes. We used social media to recruit participants and then conducted 26 interviews to collect data. We completed comparative analysis of the data and developed the Perioperative Nurse Turnover Decision-Making Theory, which describes the influence of the dimensions of perioperative nurse well-being (ie, physical and emotional well-being, career development, work-life balance, compensation, workplace culture) on their decision to leave an OR position. Perioperative leaders should consider the nurses' decision-making process when developing and implementing interventions aimed at reducing turnover.

Association between better night-shift nurse staffing and surgical outcomes: A retrospective cohort study using a nationwide inpatient database in Japan

INTRODUCTION

Although many studies have investigated the relationship between patient outcomes and the level of nurse staffing, little is known about the association between increased night-shift nurse staffing and patient outcomes. In the Japanese universal health insurance system, a new scheme of additional financial incentives for acute care hospitals was launched in 2012 to increase the number of nurses during the night shift in general wards. The objective of this study was to investigate whether an additional financial incentive to increase night-shift nurse staffing in general wards was associated with better patient outcomes.

DESIGN

Adoption of the above-mentioned scheme of additional financial incentives was used as a natural experiment, and the difference-in-differences method was conducted to evaluate the effect of the scheme. The study was performed using a nationwide inpatient database and hospital information in Japan.

METHODS

To conduct a difference-in-differences analysis, first, hospitals with and without increased night-shift nurse staffing were matched using propensity score matching. A patient-level difference-in-differences analysis was then conducted. The intervention group comprised the hospitals that adopted the new scheme of additional financial incentives. The outcome measures were in-hospital mortality, failure to rescue, and length of hospital stay.

RESULTS

Subjects were 403,971 adult patients who underwent planned major surgeries in Japanese acute care hospitals from April 2012 to March 2018. The adjusted difference-in-differences estimates were not significant for in-hospital mortality (odds ratio: 0.83; 95% confidence interval: 0.68 to 1.01; p = 0.07) or failure to rescue (odds ratio: 0.92; 95% confidence interval: 0.73 to 1.14; p = 0.44). The adjusted difference-in-differences estimate for length of hospital stay was significant (percent change: -3.2%; 95% confidence interval: -6.1 to -0.3%; p = 0.029), indicating that the adoption of the scheme was associated with a decreased length of hospital stay.

CONCLUSIONS

Increased night-shift nurse staffing was not associated with a decrease in in-hospital mortality or failure to rescue, but it was associated with a reduction in the length of hospital stay. It may be necessary to consider changes in policy content to make the policy more effective. The findings of this study are potentially useful for medical policymakers considering nurse staffing to decrease the length of stay, which may decrease costs.

CLINICAL RELEVANCE

This study showed that increased night-shift nurse staffing was not associated with a decrease in in-hospital mortality or failure to rescue, but it was associated with a reduction in the length of hospital stay. The examination of the effectiveness of increasing nurse staffing during a specific shift in acute care hospitals is potentially useful for health policymakers worldwide in their considerations of future nurse staffing policies.

The Association between Nursing Skill Mix and Patient Outcomes in a Mental Health Setting: An Observational Feasibility Study

Higher levels of educational preparation for nurses are associated with lower mortality rates in both medical and surgical wards. In mental health inpatient wards, few studies have examined whether specialist mental health nurse training has any impact on patient outcomes. The aim of this retrospective observational study was to establish the feasibility of extracting and linking nurse education and inpatient outcome data from hospital administrative sources to inform the design of future mental health nursing skill mix studies. Study participants were people experiencing mental ill-health and admitted to psychiatric inpatient care for at least 24 h. The exposure was the ratio of mental health nurses to comprehensive nurses for each patient for each day of their admission. The outcome was readmission for psychiatric inpatient care within 12 months of discharge from the index admission. Confounders were patient demographic (age, gender) and clinical characteristics (diagnosis, legal status, community follow-up). Forty-four patients included in the study were inpatients for a total of 595 days. The median hospital stay was 12 days (IQR = 7-17). In total, 11 (25%) patients were readmitted. In the readmitted and not readmitted groups, the median skill mix ratio was 5 (IQR = 5-7) and 5 (1-6), respectively. It was feasible to extract and code patient and nurse data from hospital databases and link them together. However, a substantial amount of manual post hoc recoding was required to enable us to calculate the exposure (mental health to comprehensive nurse ratio) in a precise way. It may be realistic to automate our methodology in an appropriately powered mental health nursing skill mix study. Australian and New Zealand clinical trial registry: ACTRN12619001337167p.

Association between nurse staffing levels and rotavirus infection in neonatal intensive care units: A retrospective observational study

OBJECTIVES

To explore the relationship between nurse staffing levels and rotavirus infection in neonatal intensive care units.

RESEARCH METHODOLOGY

This study adopted a retrospective observational design with data from the Health Insurance Review and Assessment Service (2018) database in South Korea. Participants were 35,308 infants in neonatal intensive care units. Multiple logistic regression analyses were employed to examine the association between nurse staffing levels and rotavirus infection in neonatal intensive care units after adjusting for confounding variables such as patient and hospital-related characteristics.

RESULTS

A total of 1,514 (4.3%) infants developed rotavirus infection. Among the confounding variables, infectious disease, and being admitted from January to March and in December significantly increased the risk of rotavirus infection, whereas low birth weight, cardiovascular disorders, neonatal jaundice, receiving breastmilk, central line insertion, and ventilator usage significantly decreased the risk. Neonatal intensive care units with a grade 5 nurse staffing level (compared with grades 1-4) had a higher risk of rotavirus infection.

CONCLUSIONS

The results suggest that neonatal intensive care units with higher (vs lower) nurse staffing levels are associated with lower rotavirus infection rates among infants. High-risk infants are extremely susceptible to hospital-acquired infections, and more intensive nursing care that differs from that provided to adult or paediatric patients is required. Therefore, nurse staffing levels with less than a 2:1 patient-to-nurse ratio are needed to control and prevent rotavirus infection in neonatal intensive care units.

Evaluation of the effect of a Nursing System Framework on Nurse Sensitive Indicators, mortality and readmission in an NHS Trust

In 2018, an NHS Trust (UK) implemented an innovative Nursing System Framework (NSF). The NSF formalized a two-year strategy, which provided teams with clear aims and measurable objectives to deliver care. Failures of coordination of nursing services are well-recognized threats to the quality, safety and sustainability of care provision.

AIM

To evaluate the efficacy of introducing a NSF in an NHS Trust, using nursing sensitive indicators and pre-selected mortality, data outcome measures.

DESIGN

A before and after implementation, observational study.

METHODS

105,437 admissions were extracted at an admission record level. Data was extracted from 1st September 2018 through to the 31st August 2019.

RESULTS

Using SQUIRE guidelines to report the study, insufficient evidence was found to reject a null hypothesis with a chi-squared test of association between in-hospital death and the NSF intervention period, with a p-value of .091. However, trends were seen in the data, which suggested a positive association.

CONCLUSION

The NSF is a complex intervention, which provides direction for improvements but requires further research to understand the benefits for nurses, Midwives, Health Visitors and patients.

Association between nursing cost and patient outcomes in intensive care units: A retrospective cohort study of Belgian hospitals

INTRODUCTION

Hospitals with better nursing resources report more favourable patient outcomes with almost no difference in cost as compared to those with worse nursing resources. The aim of this study was to assess the association between nursing cost per intensive care unit bed and patient outcomes (mortality, readmission, and length of stay).

METHODOLOGY

This was a retrospective cohort study using data collected from the intensive care units of 17 Belgian hospitals from January 01 to December 31, 2018. Hospitals were dichotomized using median annual nursing cost per bed. A total of 18,235 intensive care unit stays were included in the study with 5,664 stays in the low-cost nursing group and 12,571 in the high-cost nursing group.

RESULTS

The rate of high length of stay outliers in the intensive care unit was significantly lower in the high-cost nursing group (9.2% vs 14.4%) compared to the low-cost nursing group. Intensive care unit readmission was not significantly different in the two groups. Mortality was lower in the high-cost nursing group for intensive care unit (9.9% vs 11.3%) and hospital (13.1% vs 14.6%) mortality. The nursing cost per intensive care bed was different in the two groups, with a median [IQR] cost of 159,387€ [140,307-166,690] for the low-cost nursing group and 214,032€ [198,094-230,058] for the high-cost group. In multivariate analysis, intensive care unit mortality (OR = 0.80, 95% CI: 0.69-0.92, p < 0.0001), in-hospital mortality (OR = 0.82, 95% CI: 0.72-0.93, p < 0.0001), and high length of stay outliers (OR = 0.48, 95% CI: 0.42-0.55, p < 0.0001) were lower in the high-cost nursing group. However, there was no significant effect on intensive care readmission between the two groups (OR = 1.24, 95% CI: 0.97-1.51, p > 0.05).

CONCLUSIONS

This study found that higher-cost nursing per bed was associated with significantly lower intensive care unit and in-hospital mortality rates, as well as fewer high length of stay outliers, but had no significant effect on readmission to the intensive care unit. .

The Association between Nursing Skill Mix and Patient Outcomes in a Mental Health Setting: Protocol for an Observational Feasibility Study

International research on nursing skill mix has focused primarily on medical and surgical patient populations. The association between nursing skill mix and clinical outcomes for psychiatric inpatients has not been explored. The aim of this study is to establish the feasibility of extracting and linking nurse and inpatient data from hospital administrative data sources. This is an observational study. Data will be extracted from hospital administrative sources and linked together. Patient information will include duration and number of psychiatric hospital admissions. We will extract information on the educational preparation of nurses working in the participating hospitals to enable us to calculate estimates of the nursing skill mix. The study will be conducted in two psychiatric inpatient services in Australia. Our study will test the feasibility of extracting and linking nursing skill mix and patient data in a mental health setting and will inform the methodological development of an appropriately powered observational study. Australian and New Zealand clinical trial registry: ACTRN12619001337167p.

Association between nurse aide staffing and patient mortality after major cancer surgeries in acute care settings: A retrospective cohort study

This study examined the association between adding nurse aides and patient mortality in acute care settings. We conducted a retrospective cohort study using a national healthcare administrative claims database. We identified patients who underwent planned surgery for six types of cancer from 2010 to 2017. Multivariable logistic analyses were used to examine the association between the nurse aide staffing level and patient outcomes. The primary outcomes were failure to rescue and 30-day hospital mortality. We examined 330 666 in-hospital patients. The median number of nurse aides per 100 occupied beds was 6.60 (interquartile range, 4.61-8.43). In the multivariable analysis, nurse aide staffing level was not significantly associated with failure to rescue or 30-day hospital mortality. The Japanese government provides economic incentives to hospitals that hire more nurse aides, expecting that a higher nurse aide staffing level will help licensed nurses concentrate on the tasks that need their specialties. However, our findings suggest that adding nurse aides may not be associated with lower rates of failure to rescue or 30-day hospital mortality in acute care settings.

Nursing staff ratio and skill mix in Swedish emergency departments: A national cross-sectional benchmark study

AIM

The aim of this study is to describe ratio and skill mix for nursing staff in Swedish emergency departments over a specific 24-h period.

BACKGROUND

The link between number of patients per nursing staff and missed nursing care is well described within the in-hospital setting, showing association with negative outcomes such as increased mortality. Potential association within the emergency department setting is still unexplored.

METHOD

This is a national descriptive cross-sectional benchmark study.

RESULTS

The majority (n = 54; 89%) of Swedish emergency departments participated. The patients-per-registered nurse ratio varied between the shifts, from 0.3 patients to 8.8 patients (mean 3.2). The variation of patients per licenced practical nurse varied, from 1.5 to 23.5 patients (mean 5.0). The average skill mix was constant at around 60% registered nurses and 40% licenced practical nurses.

CONCLUSION

The varying ratios for patient per registered nurse and licenced practical nurse in Swedish emergency departments are noteworthy. Furthermore, the patient flow and nursing staff numbers did not match one another, resulting in higher nursing staff ratios during the evening shift.

IMPLICATIONS FOR NURSING MANAGEMENT

Findings can be used to improve rosters in relation to crowding, to manage the challenging recruitment and retention situation for nursing staff and to improve patient safety.