Association of Nursing Overtime, Nurse Staffing, and Unit Occupancy with Health Care-Associated Infections in the NICU

Association of Shift-Level Organizational Factors with Nosocomial Infection in the Neonatal Intensive Care Unit

Objective

To evaluate the association between shift-level organizational data (unit occupancy, nursing overtime ratios [OTRs], and nursing provision ratios [NPRs]) with nosocomial infection (NI) among infants born very preterm in the neonatal intensive care unit (NICU).

Study design

This was a multicenter, retrospective cohort study, including 1921 infants 230/7-326/7 weeks of gestation admitted to 3 tertiary-level NICUs in Quebec between 2014 and 2018. Patient characteristics and outcomes (NIs) were obtained from the Canadian Neonatal Network database and linked to administrative data. For each shift, unit occupancy (occupied/total beds), OTR (nursing overtime hours/total nursing hours), and NPR (number of actual/number of recommended nurses) were calculated. Mixed-effect logistic regression models were used to calculate aOR for the association of organizational factors (mean over 3 days) with the risk of NI on the following day for each infant.

Results

Rate of NI was 11.5% (220/1921). Overall, median occupancy was 88.7% [IQR 81.0-94.6], OTR 4.4% [IQR 1.5-7.6], and NPR 101.1% [IQR 85.5-125.1]. A greater 3-day mean OTR was associated with greater odds of NI (aOR 1.08, 95% CI 1.02-1.15), a greater 3-day mean NPR was associated lower odds of NI (aOR 0.96, 95% CI 0.95-0.98), and occupancy was not associated with NI (aOR, 0.99, 95% CI 0.96-1.02). These findings were consistent across multiple sensitivity analyses.

Conclusions

Nursing overtime and nursing provision are associated with the adjusted odds of NI among infants born very preterm in the NICU. Further interventional research is needed to infer causality.

Job satisfaction and intent to stay in neonatal nursing in England and Wales: a study protocol

BACKGROUND

Nursing shortages are an ongoing concern for neonatal units, with many struggling to meet recommended nurse to patient ratios. Workforce data underlines the high proportion of neonatal nurses nearing retirement and a reduced number of nurses joining the profession. In order to recommend strategies to increase recruitment and retention to neonatal nursing, we need to understand the current challenges nurses are facing within the profession. The aim of this study is to investigate current job satisfaction, burnout, and intent to stay in neonatal nursing in England and Wales.

METHODS

This study has two parts: (1) a systematic review exploring job satisfaction, burnout and intent to stay in neonatal nursing, and any previous interventions undertaken to enhance nurse retention, (2) an online survey of neonatal nurses in England and Wales exploring job satisfaction, burnout and intent to stay in neonatal nursing. We will measure job satisfaction using the McCloskey Mueller Satisfaction Scale (MMSS), burnout using the Copenhagen Burnout Inventory (CBI) and the Nurse Retention Index (NRI) will be used to measure intent to stay. All nurses working in neonatal units in England and Wales will be eligible to participate in the nursing survey.

DISCUSSION

Retention of neonatal nurses is a significant issue affecting neonatal units across England and Wales, which can impact the delivery of safe patient care. Exploring job satisfaction and intent to stay will enable the understanding of challenges being faced and how best to support neonatal nurses. Identifying localised initiatives for the geographical areas most at risk of nurses leaving would help to improve nurse retention.

Evaluating associations between patient-to-nurse ratios and mortality, process of care events and vital sign documentation on paediatric wards: a secondary analysis of data from the EPOCH cluster-randomised trial

OBJECTIVE

To describe the associations between patient-to-nurse staffing ratios and rates of mortality, process of care events and vital sign documentation.

DESIGN

Secondary analysis of data from the evaluating processes of care and outcomes of children in hospital (EPOCH) cluster-randomised trial.

SETTING

22 hospitals caring for children in Canada, Europe and New Zealand.

PARTICIPANTS

Eligible hospitalised patients were aged>37 weeks and <18 years.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was all-cause hospital mortality. Secondary outcomes included five events reflecting the process of care, collected for all EPOCH patients; the frequency of documentation for each of eight vital signs on a random sample of patients; four measures describing nursing perceptions of care.

RESULTS

A total of 217 714 patient admissions accounting for 849 798 patient days over the course of the study were analysed. The overall mortality rate was 1.65/1000 patient discharges. The median (IQR) number of patients cared for by an individual nurse was 3.0 (2.8-3.6). Univariate Bayesian models estimating the rate ratio (RR) for the patient-to-nurse ratio and the probability that the RR was less than one found that a higher patient-to-nurse ratio was associated with fewer clinical deterioration events (RR=0.88, 95% credible interval (CrI) 0.77-1.03; P (RR<1)=95%) and late intensive care unit admissions (RR=0.76, 95% CrI 0.53-1.06; P (RR<1)=95%). In adjusted models, a higher patient-to-nurse ratio was associated with lower hospital mortality (OR=0.77, 95% CrI=0.57-1.00; P (OR<1)=98%). Nurses from hospitals with a higher patient-to-nurse ratio had lower ratings for their ability to influence care and reduced documentation of most individual vital signs and of the complete set of vital signs.

CONCLUSIONS

The data from this study challenge the assumption that lower patient-to-nurse ratios will improve the safety of paediatric care in contexts where ratios are low. The mechanism of these effects warrants further evaluation including factors, such as nursing skill mix, experience, education, work environment and physician staffing ratios.

TRIAL REGISTRATION NUMBER

EPOCH clinical trial registered on clinical trial.gov NCT01260831; post-results.

Associations between unit workloads and outcomes of first extubation attempts in extremely premature infants below a gestational age of 26 weeks

Objective

The objective was to explore whether high workloads in neonatal intensive care units were associated with short-term respiratory outcomes of extremely premature (EP) infants born <26 weeks of gestational age.

Methods

This was a population-based study using data from the Norwegian Neonatal Network supplemented by data extracted from the medical records of EP infants <26 weeks GA born from 2013 to 2018. To describe the unit workloads, measurements of daily patient volume and unit acuity at each NICU were used. The effect of weekend and summer holiday was also explored.

Results

We analyzed 316 first planned extubation attempts. There were no associations between unit workloads and the duration of mechanical ventilation until each infant's first extubation or the outcomes of these attempts. Additionally, there were no weekend or summer holiday effects on the outcomes explored. Workloads did not affect the causes of reintubation for infants who failed their first extubation attempt.

Conclusion

Our finding that there was no association between the organizational factors explored and short-term respiratory outcomes can be interpreted as indicating resilience in Norwegian neonatal intensive care units.

Organizational Risk Factors and Clinical Impacts of Unplanned Extubation in the Neonatal Intensive Care Unit

OBJECTIVES

To assess the association between organizational factors and unplanned extubation events in the neonatal intensive care unit (NICU) and to evaluate the association between unplanned extubation event and bronchopulmonary dysplasia (BPD) among infants born at <29 weeks of gestational age.

STUDY DESIGN

This is a retrospective cohort study of infants admitted to a tertiary care NICU between 2016 and 2019. Nursing provision ratios, daily nursing overtime hours/total nursing hours ratio, and unit occupancy were compared between days with and days without unplanned extubation events. The association between unplanned extubation events (with and without reintubation) and the risk of BPD was evaluated in infants born at <29 weeks who required mechanical ventilation using a propensity score-matched cohort. Multivariable logistic regression analysis was used to assess the association between exposures and outcomes while adjusting for confounders.

RESULTS

On 108 of 1370 days there was ≥1 unplanned extubation event for a total of 116 unplanned extubation event events. Higher median nursing overtime hours (20 hours vs 16 hours) and overtime ratios (3.3% vs 2.5%) were observed on days with an unplanned extubation event compared with days without an unplanned extubation event (P = .01). Overtime ratio was associated with higher adjusted odds of a unplanned extubation event (aOR, 1.09; 95% CI, 1.01-1.18). In the subgroup of infants born at <29 weeks, those with an unplanned extubation event who were reintubated had a longer postmatching duration of mechanical ventilation (aOR, 13.06; 95% CI, 4.88-37.69) and odds of BPD (aOR, 2.86; 95% CI, 1.01-8.58) compared with those without an unplanned extubation event.

CONCLUSIONS

Nursing overtime ratio is associated with an increased number of unplanned extubation events in the NICU. In infants born at <29 weeks of gestational age, reintubation after an unplanned extubation event is associated with a longer duration of mechanical ventilation and increased risk of BPD.

Infections, accidents and nursing overtime in a neonatal intensive care unit

The paper investigates the effects of nursing overtime on nosocomial infections and medical accidents in a neonatal intensive care unit (NICU). The literature lacks clear evidence on this issue and we conjecture that this may be due to empirical and methodological factors. We model the occurrences of both events using a sample of 3979 neonates who represents over 84,846 observations (infant/days). We exploit an important change in workforce arrangement that was implemented in June 2012, and which aimed at reducing overtime hours to identify a causal impact between the latter and the two outcomes of interest. We contrast the results using a standard mixed-effects logit model with those of a semiparametric mixed-effects logit model. Contrary to the mixed-effects logit model, the semiparametric model unequivocally shows that both adverse events are impacted by nursing overtime as well as being highly sensitive to infant and NICU-related characteristics. Furthermore, the mixed-effects logit model is rejected in favour of the semiparametric one.

Comparison of Three Nursing Workload Assessment Tools in the Neonatal Intensive Care Unit and Their Association with Outcomes of Very Preterm Infants

OBJECTIVE

Nursing workload assessment tools are widely used to determine nurse staffing requirements in the neonatal intensive care unit (NICU). We aimed to compare three existing workload assessment tools and assess their association with mortality or morbidity among very preterm infants.

STUDY DESIGN

Single-center retrospective cohort study of infants born <33 weeks and admitted to a 52-bed tertiary NICU in 2017 to 2018. Required nurse staffing was estimated for each shift using the Winnipeg Assessment of Neonatal Nursing Needs Tool (WANNNT) used as reference tool, the Quebec Provincial NICU Nursing Ratio (QPNNR), and the Canadian NICU Resource Utilization (CNRU). Poisson regression models with robust error variance estimators were used to assess the association between nursing provision ratios (actual number of nurses/required number of nurses) during the first 7 days of admission and neonatal outcomes.

RESULTS

Median number of nurses required per shift using the WANNNT was 25.0 (interquartile range [IQR]: 23.1-26.7). Correlation between WANNNT and QPNNR was high (r = 0.92, p < 0.0001), but the QPNNR underestimated the number of nurses per shift by 4.8 (IQR: 4.1-5.4). Correlation between WANNNT and CNRU was moderate (r = 0.45, p < 0.0001). The NICU nursing provision ratios during the first 7 days of admission calculated using the WANNNT (adjusted risk ratio [aRR]: 0.96, 95% confidence interval [CI]: 0.93-0.99) and QPNNR (aRR: 0.97, 95% CI: 0.95-0.99) were associated with mortality or morbidity.

CONCLUSION

Lower nursing provision ratio calculated using the WANNNT and CNRU during the first 7 days of admission is associated with an increased risk of mortality/morbidity in very preterm infants.

KEY POINTS

· NICUs use different nursing workload assessment tools.. · We validated three different nursing workload assessment tools used in the NICU.. · Nursing provision ratio is associated the risk of mortality/morbidity in preterm infants..

Work hours and overtime of nurses working in Cambodian hospitals

Aim

To examine the nature and prevalence of Cambodian nurses’ work hours and overtime and related factors

Background

The chronic shortage of nursing workforce is a major cause of overtime among nurses.

Introduction

Nursing shortage and working overtime among nurses negatively affect nurse and patient outcomes, but nurses’ work hours and overtime in Cambodia have not been comprehensively examined.

Methods

A multicenter cross‐sectional study was conducted in four Cambodian hospitals. Data were collected from 253 nurses providing direct nursing care using a questionnaire. The STROBE checklist was used for reporting this study.

Results

More than a fifth of staff nurses worked more than 48 h, which is the legal work hour limit in Cambodia. Two major reasons for working mandatory or voluntary overtime, on‐call or 24‐h on‐call were (a) not wanting to let down colleagues and (b) able to get all work done. The number of patients cared for was related to whether or not nurses worked 48 h or more.

Conclusion

Overtime work and adverse nurse scheduling are common in Cambodia.

Implications for nursing and health policy

Nurse managers and healthcare institutes in Cambodia need to monitor Cambodian nurses’ work hours, which are often beyond the legal work hour limit. Moreover, it is important to understand why nurses work overtime and develop health policies, strategies, and programs that can help promote patient and nurse safety and retain qualified nursing staff. The 24‐h on‐call practice needs to be regulated according to the labor policy in healthcare institutes to prevent adverse nurse and patient outcomes.

Relationships between comprehensive characteristics of nurse work schedules and adverse patient outcomes: A systematic literature review

AIMS

To review the comprehensive characteristics of adverse nurse work schedules and to synthesise the evidence of their relationships with adverse patient outcomes.

BACKGROUND

To manage nurse shortages and fluctuations in patient censuses, nurses often work overtime. This increases nurses' work hours and causes them to have fewer breaks. Such extended work schedules, long shift length, long weekly work hours and insufficient beaks can be considered as adverse nurse work schedules. Understanding how these adverse nurse work schedules affect patient outcomes is important to ensure patient safety.

DESIGN

A systematic review of nursing and healthcare literature was conducted in this study.

METHODS

Eight electronic bibliographic databases (CINAHL, Cochrane Library, DBpia, EBSCO, PubMed, PsycINFO, RISS and Web of Science) were used to search research articles published from 2000 to 2019. The study selection process followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA).

RESULTS

From the search, 2,366 articles were identified, 22 of which were included in this review. Working more than 12 hours in a day had an adverse effect on patient outcomes, as was working more than 40 hours per week. There were mixed findings in the relationship between nurse overtime and adverse patient outcomes.

CONCLUSIONS

This study found a conclusive relationship between excessive nurse work hours and adverse patient outcomes. This review highlights the importance of managing adverse nurse schedules such as long daily and weekly work hours to improve patient safety and prevent adverse patient outcomes.

RELEVANCE TO CLINICAL PRACTICE

Study findings support the importance of monitoring and regulating nurse work schedules and adverse scheduling practices to improve nurse well-being and health and to prevent adverse patient outcomes.

South Korean nurses' lived experiences supporting maternal postpartum bonding in the neonatal intensive care unit

Purpose: Preterm birth and admission to a neonatal intensive care unit (NICU) can disrupt the parent-infant bonding relationship. Although neonatal nurses are in the best position to support maternal postpartum bonding in the NICU, few qualitative studies have described their challenges, strategies, and lived experiences. Methods: This study aimed to explore and understand the experiences and perspectives of nurses supporting infants hospitalized in the NICU and their families in relation to the bonding process. We conducted a qualitative study using interpretive phenomenological analysis with 12 in-depth, semi-structured interviews recorded and transcribed verbatim between April and November 2018. We thematically analysed the data using NVivoTM software. Results: Two themes emerged: (1) Being a bridge between separated mothers and infants (five subthemes); (2) Challenges in providing supportive care for maternal postpartum bonding in the NICU (three subthemes). Conclusions: Nurses have a variety of experiences regarding maternal postpartum bonding; however, the clinical reality of NICUs limits support for bonding formation. Although nurses face challenges (e.g., institutional policies, insufficient resources, training) when supporting maternal postpartum bonding, they act as the bridge between mothers and infants, becoming advocates for NICU families and taking care of their growth and developmental needs as caregivers.

Association of Nurse Staffing With Nosocomial Infections of Very Low-Birth-Weight Infants

Prior studies have reported inconsistent findings regarding the relationship between nurse staffing and nosocomial infections in very low-birth-weight (VLBW) infants. Little is known about whether similar associations occur in Korea. The purpose of this study was to identify the nurse staffing of neonatal intensive care units (NICUs) in Korea and to verify the association between nurse staffing and nosocomial infections among VLBW infants in NICUs. We selected 4654 VLBW infants admitted to 52 hospitals. Nosocomial infections were defined as incidence of bloodstream infection, urinary tract infection (UTI), or rotavirus infection. The average number of NICU patients per nurse was 4.51(minimum-maximum: 2.38-8.16). Hospitals with a higher number of patients per nurse exhibited a significant increased UTI rate (P = .005) and rotavirus infection rate (P = .025) in the univariate analysis. After adjusting for all patient and hospital characteristics, UTI significantly increased with increasing number of patients per nurse (odds ratio [OR] = 1.79; 95% confidence interval, 1.29-2.47), while bloodstream infection (OR = 0.93; 95% confidence interval, 0.79-1.09) and rotavirus infection (OR = 1.14; 95% confidence interval, 0.92-1.41) were not significant. These findings revealed that a nurse staffing in NICUs is an important factor for preventing UTI among VLBW infants.

Assessment of Time-Series Machine Learning Methods for Forecasting Hospital Discharge Volume

IMPORTANCE

Forecasting the volume of hospital discharges has important implications for resource allocation and represents an opportunity to improve patient safety at periods of elevated risk.

OBJECTIVE

To determine the performance of a new time-series machine learning method for forecasting hospital discharge volume compared with simpler methods.

DESIGN

A retrospective cohort study of daily hospital discharge volumes at 2 large, New England academic medical centers between January 1, 2005, and December 31, 2014 (hospital 1), or January 1, 2005, and December 31, 2010 (hospital 2), comparing time-series forecasting methods for prediction was performed. Data analysis was conducted from February 28, 2017, to August 30, 2018. Group-level data for all discharges from inpatient units were included. In addition to conventional methods, a technique originally developed for allocating data center resources, and comparison strategies for incorporating prior data and frequency of model updates, was conducted to identify the model application that optimized forecast accuracy.

MAIN OUTCOMES AND MEASURES

Model calibration as measured by R2 and, secondarily, number of days with errors greater than 1 SD of daily volume.

RESULTS

During the forecasted year, hospital 1 had 54 411 discharges (daily mean, 149) and hospital 2 had 47 456 discharges (daily mean, 130). The machine learning method was well calibrated at both sites (R2, 0.843 and 0.726, respectively) and made errors greater than 1 SD of daily volume on only 13 and 22 days, respectively, of the forecast year at the 2 sites. Last-value-carried-forward models performed somewhat less well (calibration R2, 0.781 and 0.596, respectively) with 13 and 46 errors of 1 SD or greater, respectively. More frequent retraining and training sets of longer than 1 year had minimal effects on the machine learning method's performance.

CONCLUSIONS AND RELEVANCE

Volume of hospital discharges can perhaps be reliably forecasted using simple carry-forward models as well as methods drawn from machine learning. The benefit of the latter does not appear to be dependent on extensive training data and may enable forecasts up to 1 year in advance with superior absolute accuracy to carry-forward models.