The effects of a one-to-one nurse-to-patient ratio on the mortality rate in neonatal intensive care: a retrospective, longitudinal, population-based study

Small Patients but a Heavy Lift: Workload and Burnout of Advanced Practice Providers and Physicians in a Level IV Neonatal Intensive Care Unit

OBJECTIVE

This study explored the association between workload and the level of burnout reported by clinicians in our neonatal intensive care unit (NICU). A qualitative analysis was used to identify specific factors that contributed to workload and modulated clinician workload in the NICU.

STUDY DESIGN

We conducted a study utilizing postshift surveys to explore workload of 42 NICU advanced practice providers and physicians over a 6-month period. We used multinomial logistic regression models to determine associations between workload and burnout. We used a descriptive qualitative design with an inductive thematic analysis to analyze qualitative data.

RESULTS

Clinicians reported feelings of burnout on nearly half of their shifts (44%), and higher levels of workload during a shift were associated with report of a burnout symptom. Our study identified 7 themes related to workload in the NICU. Two themes focused on contributors to workload, 3 themes focused on modulators of workload, and the final 2 themes represented mixed experiences of clinicians' workload.

CONCLUSION

We found an association between burnout and increased workload. Clinicians in our study described common contributors to workload and actions to reduce workload. Decreasing workload and burnout along with improving clinician well-being requires a multifaceted approach on unit and systems levels.

Workload In Neonatology (WORKLINE): Validation and feasibility of a system for measuring clinician workload integrated into the electronic health record

OBJECTIVE

The purpose of the study was to validate WORKLINE, a NICU specific clinician workload model and to evaluate the feasibility of integrating WORKLINE into our EHR.

STUDY DESIGN

This was a prospective, observational study of the workload of 42 APPs and physicians in a large academic medical center NICU over a 6-month period. We used regression models with robust clustered standard errors to test associations of WORKLINE values with NASA Task Load Index (NASA-TLX) scores.

RESULTS

We found significant correlations between WORKLINE and NASA-TLX scores. APP caseload was not significantly associated with WORKLINE scores. We successfully integrated the WORKLINE model into our EHR to automatically generate workload scores.

CONCLUSION

WORKLINE provides an objective method to quantify the workload of clinicians in the NICU, and for APPs, performed better than caseload numbers to reflect workload. Integrating the WORKLINE model into the EHR was feasible and enabled automated workload scores.

Is nurse staffing associated with critical deterioration events on acute and critical care pediatric wards? A literature review

Pediatric and neonatal patients admitted to acute and critical care wards may experience critical deterioration events that may lead to unexpected deaths if unrecognized and untreated promptly. Adequate levels and skill-mix of nurse staffing are essential for the quality of patient monitoring and response to deteriorating patients. Insufficient staffing may have an impact on the occurrence of missed care and consequently on critical deterioration events, increasing the risk of mortality and failure-to-rescue. To review the literature to explore the association between nurse staffing levels or skill-mix and pediatric and neonatal critical deterioration events, such as mortality, pediatric intensive care unit (PICU)/neonatal intensive care unit (NICU) unplanned admissions, cardiac arrests, and failure-to-rescue. A structured narrative literature review was performed. Pubmed, Cinhal, and Web of Science were searched from January 2010 to September 2022. Four independent reviewers conducted the study screening and data extraction. The quality of the studies included was evaluated using the Joanna Briggs Institute critical appraisal tools. Out of a total of 2319 studies, 15 met the inclusion criteria. A total of seven studies were performed in PICU, six in NICU, and two in general pediatric wards. Nurse staffing measures and outcomes definitions used were heterogeneous. Most studies suggested nursing skill-mix, increased working experience, or higher nursing degrees were associated with increased survival in PICU. Decreased nursing staffing levels were associated with increased mortality in NICU and mechanically ventilated patients in PICU.

CONCLUSION

Evidence on the association of nurse staffing and critical deterioration events in PICU and NICU is limited, while there is no evidence reported for pediatric wards. Future research is needed to determine adequate levels of nurse/patient ratios and proportion of registered nurses in the skill-mix for pediatric acute and critical care nursing to improve outcomes on in-patient wards.

WHAT IS KNOWN

• Adult nursing skill-mix, staffing ratios, and level of education are associated with patient mortality and failure to rescue. • In children, nurse staffing levels are associated with clinical outcomes.

WHAT IS NEW

• Evidence on the association of nurse staffing levels or skill-mix with pediatric or neonatal mortality is limited. • There is some evidence regarding the association of nursing work experience, certification, higher level degree with in-hospital survival in PICU.

Association of nurse staffing and unit occupancy with mortality and morbidity among very preterm infants: a multicentre study

OBJECTIVE

In a healthcare system with finite resources, hospital organisational factors may contribute to patient outcomes. We aimed to assess the association of nurse staffing and neonatal intensive care unit (NICU) occupancy with outcomes of preterm infants born <33 weeks' gestation.

DESIGN

Retrospective cohort study.

SETTING

Four level III NICUs.

PATIENTS

Infants born 23-32 weeks' gestation 2015-2018.

MAIN OUTCOME MEASURES

Nursing provision ratios (nursing hours worked/recommended nursing hours based on patient acuity categories) and unit occupancy rates were averaged for the first shift, 24 hours and 7 days of admission of each infant. Primary outcome was mortality/morbidity (bronchopulmonary dysplasia, severe neurological injury, retinopathy of prematurity, necrotising enterocolitis and nosocomial infection). ORs for association of exposure with outcomes were estimated using generalised linear mixed models adjusted for confounders.

RESULTS

Among 1870 included infants, 823 (44%) had mortality/morbidity. Median nursing provision ratio was 1.03 (IQR 0.89-1.22) and median unit occupancy was 89% (IQR 82-94). In the first 24 hours of admission, higher nursing provision ratio was associated with lower odds of mortality/morbidity (OR 0.93, 95% CI 0.89 to 0.98), and higher unit occupancy was associated with higher odds of mortality/morbidity (OR 1.19, 95% CI 1.04 to 1.36). In causal mediation analysis, nursing provision ratios mediated 47% of the association between occupancy and outcomes.

CONCLUSIONS

NICU occupancy is associated with mortality/morbidity among very preterm infants and may reflect lack of adequate resources in periods of high activity. Interventions aimed at reducing occupancy and maintaining adequate resources need to be considered as strategies to improve patient outcomes.

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.

Data-Driven Nurse Staffing in the Neonatal Intensive Care Unit

ABSTRACT

The challenge of nurse staffing is amplified in the acute care neonatal intensive care unit (NICU) setting, where a wide range of highly variable factors affect staffing. A comprehensive overview of infant factors (severity, intensity), nurse factors (education, experience, preferences, team dynamics), and unit factors (structure, layout, shift length, care model) influencing pre-shift NICU staffing is presented, along with how intra-shift variability of these and other factors must be accounted for to maintain effective and efficient assignments. There is opportunity to improve workload estimations and acuity measures for pre-shift staffing using technology and predictive analytics. Nurse staffing decisions affected by intra-shift factor variability can be enhanced using novel care models that decentralize decision-making. Improving NICU staffing requires a deliberate, systematic, data-driven approach, with commitment from nurses, resources from the management team, and an institutional culture prioritizing patient safety.

Burden of Hospital-acquired SARS-CoV-2 Infections in Germany

Background

Avoiding in-hospital transmissions has been crucial in the COVID-19 pandemic. Little is known on the extent to which hospital-acquired SARS-CoV-2 variants have caused infections in Germany.

Aim

To analyse the occurrence and the outcomes of HAI with regard to different SARS-CoV-2 variants.

Methods

Patients with SARS-CoV-2 infections hospitalized between March 1^st, 2020 and May 17^th, 2022 in 79 hospitals of the Helios Group were included. Information on patients' characteristics and outcomes were retrieved from claims data. In accordance with the Robert Koch Institute, infections were classified as hospital-acquired when tested positive >6 days after admission and if no information hinted at a different source.

Findings

In all, 62,875 SARS-CoV-2 patients were analysed, of whom 10.6% had HAI. HAIs represented 14.7% of SARS-CoV-2 inpatients during the Wildtype period, 3.5% during Alpha (odds ratio: 0.21; 95% confidence interval: 0.19–0.24), 8.8% during Delta (2.70; 2.35–3.09) and 10.1% during Omicron (1.10; 1.03–1.19). When age and comorbidities were accounted for, HAI had lower odds for death than community-acquired infections (0.802; 0.740–0.866). Compared to the Wildtype period, HAIs during Omicron were associated with lower odds for ICU (0.78; 0.69–0.88), ventilation (0.47; 0.39–0.56), and death (0.33; 0.28–0.40).

Conclusion

Hospital-acquired SARS-CoV-2 infections occurred throughout the pandemic, affecting highly vulnerable patients. Although transmissibility increased with newer variants, the proportion of HAIs decreased, indicating improved infection prevention and/or the effect of immunization. Furthermore, the Omicron period was associated with improved outcomes. However, the burden of hospital-acquired SARS-CoV-2 infections remains high.

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.

Refining regional organization of services in the UK to improve outcomes of pregnancies delivering at extremely low gestational age

Care for pregnant women and their infants at extremely low gestational ages challenges clinical teams. The continuing rise in survival at gestational ages below 25 weeks has prompted re-evaluation of practice guidelines within the UK and other countries. This paper describes the background data that have guided our practice, the approach that has been taken to deliver optimal outcomes for pregnancies delivering at extremely low gestational age in the UK, mainly through centralising care, and discusses the research and audit data that support our practice. In particular, we emphasize the importance of a coordinated perinatal approach to both mother and infant, and careful assessment of the risks to both, to ensure that we develop the highest quality personalized care for each family, supported by national quality improvement and research evidence.

Weight Is More Accurate than Gestational Age When Estimating the Optimal Endotracheal Tube Depth in Neonates

Determining the optimal endotracheal tube (ETT) depth in neonates remains challenging for neonatologists. The guideline for optimal ETT depth is based on the patients’ weight or gestational age. However, there is a discrepancy in the suggested ETT depth between these two parameters. The aim of this retrospective study was to compare the recommended weight-based and age-based formulas for optimal ETT depth and obtain the optimal reference before intubation. Participants were assigned to group 1 if the recommended ETT insertion depth based on weight was concordant with the recommended depth based on gestational age, and to group 2 if the weight and age-based depth recommendations were discordant. After exclusion, 180 patients were included in the analysis. Results indicated that the predicted ETT depth suggested by age required more adjustment than by weight (p < 0.05). Furthermore, the required adjustment in the weight-based formula was smaller than the age-based formula (p < 0.05). Multivariate linear regression analysis revealed that weight was the key factor affecting the optimal depth (p < 0.001). These results imply that when there is a discrepancy in ETT depth between the weight-based and age-based recommendation, the weight-based one will be more accurate than the age-based one.

Human Resources for Health-Related Challenges to Ensuring Quality Newborn Care in Low- and Middle-Income Countries: A Scoping Review

BACKGROUND

A critical shortage of health workers with needed maternal and newborn competencies remains a major challenge for the provision of quality care for mothers and newborns, particularly in low- and middle-income countries. Supply-side challenges related to human resources for health (HRH) worsen shortages and can negatively affect health worker performance and quality of care. This review scoped country-focused sources to identify and map evidence on HRH-related challenges to quality facility-based newborn care provision by nurses and midwives.

METHODS

Evidence for this review was collected iteratively, beginning with pertinent World Health Organization documents and extending to articles identified via database and manual reference searches and country reports. Evidence from country-focused sources from 2000 onward was extracted using a data extraction tool that was designed iteratively; thematic analysis was used to map the 10 categories of HRH challenges.

FINDINGS

A total of 332 peer-reviewed articles were screened, of which 22 met inclusion criteria. Fourteen additional sources were added from manual reference search and gray literature sources. Evidence has been mapped into 10 categories of HRH-related challenges: (1) lack of health worker data and monitoring; (2) poor health worker preservice education; (3) lack of HW access to evidence-based practice guidelines, continuing education, and continuing professional development; (4) insufficient and inequitable distribution of health workers and heavy workload; (5) poor retention, absenteeism, and rotation of experienced staff; (6) poor work environment, including low salary; (7) limited and poor supervision; (8) low morale, motivation, and attitude, and job dissatisfaction; (9) weaknesses of policy, regulations, management, leadership, governance, and funding; and (10) structural and contextual barriers.

CONCLUSION

The mapping provides needed insight that informed new World Health Organization strategies and supporting efforts to address the challenges identified and strengthen human resources for neonatal care, with the ultimate goal of improving newborn care and outcomes.

[Quality of Care for Very Low Birth Weight Infants in Germany - Evaluation of Publicly Available Data from 2014 to 2018]

Hintergrund Seit 2014 werden Ergebnisdaten der Versorgung sehr kleiner Frühgeborener (FG) in Deutschland zentral erfasst und sind unter www.perinatalzentren.org abrufbar. Mit den online verfügbaren Daten soll der Zusammenhang zwischen Fallzahl und Ergebnisqualität untersucht werden.

Methoden Bei der Ergebnisveröffentlichung für den 5-Jahreszeitraum 2014–2018 werden die Fallzahl pro Perinatalzentrum und Überleben bzw. Überleben ohne schwere Erkrankungen in Relation zum Bundesdurchschnitt für FG<1500 g Geburtsgewicht ausgewiesen. Neben der Fallzahl wird auch eine nach Risikofaktoren adjustierte Fallzahl ausgewiesen. Mittels Regression wurde der Zusammenhang zwischen Fallzahl, adjustierter Fallzahl und Überlebenswahrscheinlichkeit untersucht.

Ergebnisse Von den 212 Perinatalzentren waren 163 (77%) als Level 1 und 49 (23%) als Level 2 Zentren gelistet und versorgten 9300 (94%; Median 51; Min 13 bis Max 186) bzw. 538 (6%; 9; 4–28) FG<1500 g pro Jahr. Für die Fallzahl ließ sich keine signifikante Korrelation mit der Überlebenswahrscheinlichkeit nachweisen. Die adjustierte Fallzahl zeigte einen schwachen linearen Zusammenhang mit dem Überleben ohne schwere Erkrankungen (p=0,02; R2=0,03). Bei nicht-parametrischer Regression stellten sich signifikante Effekte ab einer adjustierten Fallzahl von mehr als 170 (Überleben) bzw. 100 (Überleben ohne schwere Erkrankungen) FG pro Jahr und Zentrum ein. Im Bereich darunter erklärt die Fallzahl keinen Anteil der Streuung.

Schlussfolgerung Es findet sich nur ein schwacher linearer und nichtlinearer Zusammenhang zwischen adjustierter Fallzahl und relativer Überlebenswahrscheinlichkeit, der maßgeblich durch sehr große Zentren getrieben ist.

Trends in Perinatal Practices and Neonatal Outcomes of Very Low Birth Weight Infants during a 16-year Period at NEOCOSUR Centers

OBJECTIVE

To describe trends in mortality, major morbidity, and perinatal care practices of very low birth weight infants born at NEOCOSUR Neonatal Network centers from January 1, 2001, through December 31, 2016.

STUDY DESIGN

A retrospective analysis of prospectively collected data from all inborn infants with a birthweight of 500-1500 g and 23-35 weeks of gestation.

RESULTS

We examined data for 13 987 very low birth weight infants with a mean birth weight of 1081 ± 281 g and a gestational age of 28.8 ± 2.9 weeks. Overall mortality was 26.8% without significant changes throughout the study period. Decreases in early onset sepsis from 6.3% to 2.8% (P <.001), late onset sepsis from 21.1% to 19.5% (P = .002), retinopathy of prematurity from 21.3% to 13.8% (P <.001), and hydrocephalus from 3.8% to 2.4% (P <.001), were observed. The incidence for bronchopulmonary dysplasia decreased from 17.3% to 16% (P = .043), incidence of severe intraventricular hemorrhage was 10.4%, necrotizing enterocolitis 11.1%, and periventricular leukomalacia 3.8%, and did not change over the study period. Administration of antenatal corticosteroids increased from 70.2% to 82.3% and cesarean delivery from 65.9% to 75.4% (P <.001). The use of conventional mechanical ventilation decreased from 67.7% to 63.9% (P <.001) and continuous positive airway pressure use increased from 41.3% to 64.3% (P <.001). Survival without major morbidity increased from 37.4% to 44.5% over the study period (P <.001).

CONCLUSIONS

Progress in perinatal and neonatal care at network centers was associated with an improvement in survival without major morbidity of very low birth weight infants during a 16-year period. However, overall mortality remained unchanged.

Midwife-to-newborn ratio and neonatal outcome in healthy term infants

AIM

To assess the effect of midwife-to-infant ratio on healthy term infant outcome.

METHODS

Infants were enrolled in an inhospital midwife-led centre and an obstetrician-led centre with different midwife-to-infant ratios (1:2.5-1:5 vs 1:7-1:15). The primary endpoint was exclusive breastfeeding rate; secondary endpoints were neonatal admission in neonatal care unit rate and length of hospital stay.

RESULTS

One hundred and ten infants were enrolled in both midwife- and obstetrician-led centre. Exclusive breastfeeding rate at discharge was higher (88% vs 78%, P = .048) in infants born in the midwife- than in the obstetrician-led centre. Admission rate in neonatal care units (9% vs 2%, P = .017) and stay in hospital duration (3.1 ± 1.8 vs 2.6 ± 0.8 days, P = .008) were higher in the obstetrician- than in the midwife-led centre. Birth in the midwife-led centre increased the likelihood of exclusive breastfeeding (OR: 2.04, 1.07-3.92), while newborns' admission in neonatal care units decreased it (OR : 0.17, 0.07-0.43).

CONCLUSION

Healthy term infants' neonatal outcome is negatively associated with a low midwife-to-infant ratio which decreases exclusive breastfeeding rate and is associated with a higher likelihood of admission in neonatal care units and longer stay in hospital.

Improving the Efficiency and Impact of Clinical Research: A Game Changer for 21st Century Neonatology

Every clinician is aware of the many uncertainties that exist in everyday clinical care. These contribute to variation and inequity in outcomes and pose dangers to patient wellbeing and safety. Evidence generation is still too slow, too expensive, too much left to chance, too ad hoc, and wholly inadequate. Modern technologies can drive faster, more efficient evidence generation and implementation of findings. However, professional and public buy-in are also needed for success; in short, a new conceptual framework aimed at reducing uncertainties effectively, efficiently, and incrementally in clinical practice is required. Currently, much-needed research to reduce practice uncertainties is often never done, or conducted in ways that are inefficient or lack impact. The consequence is poor patient care and abrogation of the cardinal duty of doctors to "first, do no harm." Research is efficient if high quality, conducted rapidly, at reasonable cost, with minimal burden on investigators and participants. Research has impact if outcomes are incorporated into evidence syntheses, and robust conclusions are implemented into practice without delay. Here, I will discuss ways that build upon modern thinking and new technologies to improve the efficiency and impact of clinical research.

The heterogeneous causal effects of neonatal care: a model of endogenous demand for multiple treatment options based on geographical access to care

Neonatal units in the UK are organised into three levels, from highest Neonatal Intensive Care Unit (NICU), to Local Neonatal Unit (LNU) to lowest Special Care Unit (SCU). We model the endogenous treatment selection of neonatal care unit of birth to estimate the average and marginal treatment effects of different neonatal designations on infant mortality, length of stay and hospital costs. We use prognostic factors, survival and hospital care use data on all preterm births in England for 2014-2015, supplemented by national reimbursement tariffs and instrumental variables of travel time from a geographic information system. The data were consistent with a model of demand for preterm birth care driven by physical access. In-hospital mortality of infants born before 32 weeks was 8.5% overall, and 1.2 (95% CI: -0.7, 3.2) percentage points lower for live births in hospitals with NICU or SCU compared to those with an LNU according to instrumental variable estimates. We find imprecise differences in average total hospital costs by unit designation, with positive unobserved selection of those with higher unexplained absolute and incremental costs into NICU. Our results suggest a limited scope for improvement in infant mortality by increasing in-utero transfers based on unit designation alone.

Development and use of an adjusted nurse staffing metric in the neonatal intensive care unit

OBJECTIVE

To develop a nurse staffing prediction model and evaluate deviation from predicted nurse staffing as a contributor to patient outcomes.

DATA SOURCES

Secondary data collection conducted 2017-2018, using the California Office of Statewide Health Planning and Development and the California Perinatal Quality Care Collaborative databases. We included 276 054 infants born 2008-2016 and cared for in 99 California neonatal intensive care units (NICUs).

STUDY DESIGN

Repeated-measures observational study. We developed a nurse staffing prediction model using machine learning and hierarchical linear regression and then quantified deviation from predicted nurse staffing in relation to health care-associated infections, length of stay, and mortality using hierarchical logistic and linear regression.

DATA COLLECTION METHODS

We linked NICU-level nurse staffing and organizational data to patient-level risk factors and outcomes using unique identifiers for NICUs and patients.

PRINCIPAL FINDINGS

An 11-factor prediction model explained 35 percent of the nurse staffing variation among NICUs. Higher-than-predicted nurse staffing was associated with decreased risk-adjusted odds of health care-associated infection (OR: 0.79, 95% CI: 0.63-0.98), but not with length of stay or mortality.

CONCLUSIONS

Organizational and patient factors explain much of the variation in nurse staffing. Higher-than-predicted nurse staffing was associated with fewer infections. Prospective studies are needed to determine causality and to quantify the impact of staffing reforms on health outcomes.

Effective coverage and budget implications of skill-mix change to improve neonatal nursing care: an explorative simulation study in Kenya

Introduction

Neonatal mortality is an urgent policy priority to improve global population health and reduce health inequality. As health systems in Kenya and elsewhere seek to tackle increased neonatal mortality by improving the quality of care, one option is to train and employ neonatal healthcare assistants (NHCAs) to support professional nurses by taking up low-skill tasks.

Methods

Monte-Carlo simulation was performed to estimate the potential impact of introducing NHCAs in neonatal nursing care in four public hospitals in Nairobi on effectively treated newborns and staff costs over a period of 10 years. The simulation was informed by data from 3 workshops with >10 stakeholders each, hospital records and scientific literature. Two univariate sensitivity analyses were performed to further address uncertainty.

Results

Stakeholders perceived that 49% of a nurse full-time equivalent could be safely delegated to NHCAs in standard care, 31% in intermediate care and 20% in intensive care. A skill-mix with nurses and NHCAs would require ~2.6 billionKenyan Shillings (KES) (US$26 million) to provide quality care to 58% of all newborns in need (ie, current level of coverage in Nairobi) over a period of 10 years. This skill-mix configuration would require ~6 billion KES (US$61 million) to provide quality of care to almost all newborns in need over 10 years.

Conclusion

Changing skill-mix in hospital care by introducing NHCAs may be an affordable way to reduce neonatal mortality in low/middle-income countries. This option should be considered in ongoing policy discussions and supported by further evidence.

Primary prevention of ROP and the oxygen saturation targeting trials

Reducing the burden of visual morbidity from retinopathy of prematurity (ROP) begins with primary prevention, and improvements in neonatal care with a positive impact on ROP are possible in all settings. Strategies range from rigorous adoption of inexpensive evidence-based protocols, for example on temperature control, prevention of sepsis and support for breast-milk feeding, through to comprehensive quality improvement programmes, and fostering team work and camaraderie. Oxygen monitoring is essential for very preterm infants receiving supplementary oxygen. The Neonatal Oxygenation Prospective Meta-analysis (NeOProM) collaboration has reported analysis of five trials of oxygen saturation (SpO₂) targeting in very preterm infants and shown that a SpO₂ target of 85-89% compared to 91-95% was associated with increased mortality (on average 28 extra deaths for every 1000 infants treated). Adopting a SpO₂ target higher than 85-89% might increase the risk of ROP for some infants, highlighting the importance of pursuing all other means of prevention.

Epidemiology and healthcare factors associated with neonatal enterococcal infections

OBJECTIVE

To investigate the epidemiology and healthcare factors associated with late-onset neonatal enterococcal infections.

DESIGN

Multicentre, multinational retrospective cohort study using prospectively collected infection data from a neonatal infection surveillance network between 2004 and 2016; this was supplemented with healthcare data from a questionnaire distributed to participating neonatal units.

SETTING

Sixty neonatal units across Europe (UK, Greece, Estonia) and Australia.

PATIENTS

Infants admitted to participating neonatal units who had a positive culture of blood, cerebrospinal fluid or urine after 48 hours of life.

RESULTS

In total, 414 episodes of invasive Enterococcus spp infection were reported in 388 infants (10.1% of a total 4083 episodes in 3602 infants). Enterococcus spp were the second most common cause of late-onset infection after coagulase-negative Staphylococcus spp and were strongly associated with necrotising enterocolitis (NEC) (adjusted OR 1.44, 95% CI 1.02 to 2.03, p=0.038), total parenteral nutrition (TPN) (adjusted OR 1.34, 95% CI 1.06 to 1.70, p=0.016), increasing postnatal age (per 1-week increase: adjusted OR 1.04, 95% CI 1.02 to 1.06, p<0.001) and decreasing birth weight (per 1 kg increase: adjusted OR 0.85, 95% CI 0.74 to 0.97, p=0.017). There was no evidence that inadequate nurse to patient staffing ratios in high-dependency units were associated with a higher risk of enterococcal infections.

CONCLUSIONS

Enterococcus spp were the second most frequent cause of late-onset infections. The association between enterococcal infections, NEC and TPN may inform empiric antimicrobial regimens in these contexts and provide insights into reducing these infections.

Nasal Injury with Continuous Positive Airway Pressure: Need for "Privileging" Nursing Staff

OBJECTIVES

Use of continuous positive airway pressure (CPAP) in neonates is associated with nasal injury (NI) for which various risk factors related to the neonatal characteristics and properties of interfaces used have been reported. "Privileging" of nursing staff may influence safety and incidence of adverse events. In this prospective cohort study, authors studied the incidence of NI and risk factors for NI in babies requiring CPAP after privileging staff for CPAP care bundles.

METHODS

All neonates on CPAP over a 6-mo period were included. Standard operating procedures were formulated and staff of NICU (nurses and doctors) were educated at the start of the study and periodically in 6 comprehensive areas of care- encompassing position of head, prongs and cap; nasal suctioning and interruptions in pressure on the nose. The staff who completed the training and evaluation were declared as "privileged". NI (measured by a standard staging) and risk factors were predefined and studied.

RESULTS

Of the 51 babies who required respiratory supports, 35 required CPAP care. Nine babies (25%) out of 35 who required CPAP had NI (2, 4, 3 babies had stages 1, II and III of NI respectively). Seventy seven percent of babies were cared for by privileged nurses. NI was significantly higher when cared for by non-privileged staff (66% vs. 11%, unadjusted RR = 6.75, 95%CI 2.16-21.09). All other risk factors were not significant.

CONCLUSIONS

NI was noted in 25% neonates on CPAP, and those cared for by non-privileged staff had higher chances of NI. Quality processes and emphasis on continued monitoring and evaluation of nursing skills may help prevent these untoward complications.

Information technology infrastructure, quality improvement and research: the UK National Neonatal Research Database

Technological developments, coupled with strengthened governance and data security have led to increasing recognition of the potential of real-world health data to benefit patient care and health services. Real-world health data are those captured in the course of routine care. Here I describe a mature source of real-world health data, the UK National Neonatal Research Database and provide examples of the many types of uses it supports.

Epidemiology of infections and antimicrobial use in Greek Neonatal Units

OBJECTIVE

To describe the epidemiology of neonatal infections and of antimicrobial use in Greek Neonatal Units (NNUs) in order to develop national, evidence-based guidelines on empiric antimicrobial use for neonatal sepsis in Greece.

DESIGN

Retrospective analysis of prospectively collected infection surveillance data from 2012 to 2015, together with a Point Prevalence Survey (PPS) on antimicrobial use and the collection of data on local empiric antimicrobial policies.

SETTING

16 NNUs in Greece participating in the neonIN infection surveillance network PATIENTS: Newborns in participating NNUs who had a positive blood, cerebrospinal fluid or urine culture and were treated with at least 5 days of antibiotics.

RESULTS

459 episodes were recorded in 418 infants. The overall incidence of infection was 50/1000 NNU-admissions. The majority of episodes were late-onset sepsis (LOS) (413, 90%). Coagulase-negative Staphylococci (80%) were the most common Gram-positive organisms causing LOS and Klebsiella spp (39%) the most common Gram-negative. Nearly half (45%) of the Klebsiella spp were resistant to at least one aminoglycoside. The PPS revealed that 196 of 484 (40%) neonates were on antimicrobials. The survey revealed wide variation in empiric antimicrobial policies for LOS.

CONCLUSIONS

This is the largest collection of data on the epidemiology of neonatal infections in Greece and on neonatal antimicrobial use. It provides the background for the development of national evidence-based guidelines. Continuous surveillance, the introduction of antimicrobial stewardship interventions and evidence-based guidelines are urgently required.

Association of Nurse Workload With Missed Nursing Care in the Neonatal Intensive Care Unit

IMPORTANCE

Quality improvement initiatives demonstrate the contribution of reliable nursing care to gains in clinical and safety outcomes in neonatal intensive care units (NICUs); when core care is missed, outcomes can worsen.

OBJECTIVE

To evaluate the association of NICU nurse workload with missed nursing care.

DESIGN, SETTING, AND PARTICIPANTS

A prospective design was used to evaluate associations between shift-level workload of individual nurses and missed care for assigned infants from March 1, 2013, through January 31, 2014, at a 52-bed level IV NICU in a Midwestern academic medical center. A convenience sample of registered nurses who provided direct patient care and completed unit orientation were enrolled. Nurses reported care during each shift for individual infants whose clinical data were extracted from the electronic health record. Data were analyzed from January 1, 2015, through August 13, 2018.

EXPOSURES

Workload was assessed each shift with objective measures (infant-to-nurse staffing ratio and infant acuity scores) and a subjective measure (the National Aeronautics and Space Administration Task Load Index [NASA-TLX]).

MAIN OUTCOMES AND MEASURES

Missed nursing care was measured by self-report of omission of 11 essential care practices. Cross-classified, multilevel logistic regression models were used to estimate associations of workload with missed care.

RESULTS

A total of 136 nurses provided reports of shift-level workload and missed nursing care for 418 infants during 332 shifts of 12 hours each. When workload variables were modeled independently, 7 of 12 models demonstrated a significant worsening association of increased infant-to-nurse ratio with odds of missed care (eg, nurses caring for ≥3 infants were 2.51 times more likely to report missing any care during the shift [95% credible interval, 1.81-3.47]), and all 12 models demonstrated a significant worsening association of increased NASA-TLX subjective workload ratings with odds of missed care (eg, each 5-point increase in a nurse's NASA-TLX rating during a shift was associated with a 34% increase in the likelihood of missing a nursing assessment for his or her assigned infant[s] during the same shift [95% credible interval, 1.30-1.39]). When modeling all workload variables jointly, only 4 of 12 models demonstrated significant association of staffing ratios with odds of missed care, whereas the association with NASA-TLX ratings remained significant in all models. Few associations of acuity scores were observed across modeling strategies.

CONCLUSIONS AND RELEVANCE

The workload of NICU nurses is significantly associated with missed nursing care, and subjective workload ratings are particularly important. Subjective workload represents an important aspect of nurse workload that remains largely unmeasured despite high potential for intervention.

Unit-Level Variations in Healthcare Professionals' Availability for Preterm Neonates <29 Weeks' Gestation: An International Survey

INTRODUCTION

The availability of and variability in healthcare professionals in neonatal units in different countries has not been well characterized. Our objective was to identify variations in the healthcare professionals for preterm neonates in 10 national or regional neonatal networks participating in the International Network for Evaluating Outcomes (iNeo) of neonates.

METHOD

Online, pre-piloted questionnaires about the availability of healthcare professionals were sent to the directors of 390 tertiary neonatal units in 10 international networks: Australia/New Zealand, Canada, Finland, Illinois, Israel, Japan, Spain, Sweden, Switzerland, and Tuscany.

RESULTS

Overall, 325 of 390 units (83%) responded. About half of the units (48%; 156/325) cared for 11-30 neonates/day and had team-based (43%; 138/325) care models. Neonatologists were present 24 h a day in 59% of the units (191/325), junior doctors in 60% (194/325), and nurse practitioners in 36% (116/325). A nurse-to-patient ratio of 1:1 for infants who are unstable and require complex care was used in 52% of the units (170/325), whereas a ratio of 1:1 or 1:2 for neonates requiring multisystem support was available in 59% (192/325) of the units. Availability of a respiratory therapist (15%, 49/325), pharmacist (40%, 130/325), dietitian (34%, 112/325), social worker (81%, 263/325), lactation consultant (45%, 146/325), parent buddy (6%, 19/325), or parents' resource personnel (11%, 34/325) were widely variable between units.

CONCLUSIONS

We identified variability in the availability and organization of the healthcare professionals between and within countries for the care of extremely preterm neonates. Further research is needed to associate healthcare workers' availability and outcomes.

A framework to address key issues of neonatal service configuration in England: the NeoNet multimethods study

Background

There is an inherent tension in neonatal services between the efficiency and specialised care that comes with centralisation and the provision of local services with associated ease of access and community benefits. This study builds on previous work in South West England to address these issues at a national scale.

Objectives

(1) To develop an analytical framework to address key issues of neonatal service configuration in England, (2) to investigate visualisation tools to facilitate the communication of findings to stakeholder groups and (3) to assess parental preferences in relation to service configuration alternatives.

Main outcome measures

The ability to meet nurse staffing guidelines, volumes of units, costs, mortality, number and distance of transfers, travel distances and travel times for parents.

Design

Descriptive statistics, location analysis, mathematical modelling, discrete event simulation and economic analysis were used. Qualitative methods were used to interview policy-makers and parents. A parent advisory group supported the study.

Setting

NHS neonatal services across England.

Data

Neonatal care data were sourced from the National Neonatal Research Database. Information on neonatal units was drawn from the National Neonatal Audit Programme. Geographic and demographic data were sourced from the Office for National Statistics. Travel time data were retrieved via a geographic information system. Birth data were sourced from Hospital Episode Statistics. Parental cost data were collected via a survey.

Results

Location analysis shows that to achieve 100% of births in units with ≥ 6000 births per year, the number of birth centres would need to be reduced from 161 to approximately 72, with more parents travelling > 30 minutes. The maximum number of neonatal intensive care units (NICUs) needed to achieve 100% of very low-birthweight infants attending high-volume units is 36 with existing NICUs, or 48 if NICUs are located wherever there is currently a neonatal unit of any level. Simulation modelling further demonstrated the workforce implications of different configurations. Mortality modelling shows that the birth of very preterm infants in high-volume hospitals reduces mortality (a conservative estimate of a 1.2-percentage-point lower risk) relative to these births in other hospitals. It is currently not possible to estimate the impact of mortality for infants transferred into NICUs. Cost modelling shows that the mean length of stay following a birth in a high-volume hospital is 9 days longer and the mean cost is £5715 more than for a birth in another neonatal unit. In addition, the incremental cost per neonatal life saved is £460,887, which is comparable to other similar life-saving interventions. The analysis of parent costs identified unpaid leave entitlement, food, travel, accommodation, baby care and parking as key factors. The qualitative study suggested that central concerns were the health of the baby and mother, communication by medical teams and support for families.

Limitations

The following factors could not be modelled because of a paucity of data – morbidity outcomes, the impact of transfers and the maternity/neonatal service interface.

Conclusions

An evidence-based framework was developed to inform the configuration of neonatal services and model system performance from the perspectives of both service providers and parents.

Future work

To extend the modelling to encompass the interface between maternity and neonatal services.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Service readiness for inpatient care of small and sick newborns: what do we need and what can we measure now?

BACKGROUND

Each year an estimated 2.6 million newborns die, mainly from complications of prematurity, neonatal infections, and intrapartum events. Reducing these deaths requires high coverage of good quality care at birth, and inpatient care for small and sick newborns. In low- and middle-income countries, standardised measurement of the readiness of facilities to provide emergency obstetric care has improved tracking of readiness to provide care at birth in recent years. However, the focus has been mainly on obstetric care; service readiness for providing inpatient care of small and sick newborns is still not consistently measured or tracked.

METHODS

We reviewed existing international guidelines and resources to create a matrix of the structural characteristics (infrastructure, equipment, drugs, providers and guidelines) for service readiness to deliver a package of inpatient care interventions for small and sick newborns. To identify gaps in existing measurement systems, we reviewed three multi-country health facility survey tools (the Service Availability and Readiness Assessment, the Service Provision Assessment and the Emergency Obstetric and Newborn Care Assessment) against our service readiness matrix.

FINDINGS

For service readiness to provide inpatient care for small and sick newborns, our matrix detailed over 600 structural characteristics. Our review of the SPA, the SARA and the EmONC assessment tools identified several measurement omissions to capture information on key intervention areas, such as thermoregulation, feeding and respiratory support, treatment of specific complications (seizures, jaundice), and screening and follow up services, as well as specialised staff and service infrastructure.

CONCLUSIONS

Our review delineates the required inputs to ensure readiness to provide inpatient care for small and sick newborns. Based on these findings, we detail where questions need to be added to existing tools and describe how measurement systems can be adapted to reflect small and sick newborns interventions. Such work can inform investments in health systems to end preventable newborn death and disability as part of the Every Newborn Action Plan.

What capacity exists to provide essential inpatient care to small and sick newborns in a high mortality urban setting? - A cross-sectional study in Nairobi City County, Kenya

Introduction

Appropriate demand for, and supply of, high quality essential neonatal care is key to improving newborn survival but evaluating such provision has received limited attention in low- and middle-income countries. Moreover, specific local data are needed to support healthcare planning for this vulnerable population.

Methods

We conducted health facility assessments between July 2015-April 2016, with retrospective review of admission events between 1^st July 2014 and 30^th June 2015, and used estimates of population-based incidence of neonatal conditions in Nairobi to explore access and evaluate readiness of public, private not-for-profit (mission), and private-for-profit (private) sector facilities providing 24/7 inpatient neonatal care in Nairobi City County.

Results

In total, 33 (4 public, 6 mission, and 23 private) facilities providing 24/7 inpatient neonatal care in Nairobi City County were identified, 31 were studied in detail. Four public sector facilities, including the only three facilities in which services were free, accounted for 71% (8,630/12,202) of all neonatal admissions. Large facilities (>900 annual admissions) with adequate infrastructure tended to have high bed occupancy (over 100% in two facilities), high mortality (15%), and high patient to nurse ratios (7–15 patients per nurse). Twenty-one smaller, predominantly private, facilities were judged insufficiently resourced to provide adequate care. In many of these, nurses provided newborn and maternity care simultaneously using resources shared across settings, newborn care experience was likely to be limited (<50 cases per year), there was often no resident clinician, and sick babies were often referred onwards. Results suggest 44% (9,764/21,966) of Nairobi’s small and sick newborns may not access any of the identified facilities and a further 9% (2,026/21,966) access facilities judged to be inadequately equipped.

Conclusion

Over 50% of Nairobi’s sick newborns may not access a facility with adequate resources to provide essential care. A very high proportion of care accessed is provided by four public and one low cost mission facility; these face major challenges of high patient acuity (high mortality), high patient to nurse ratios, and often overcrowding. Reducing high neonatal mortality in this urban, predominantly poor, population will require effective long-term, multi-sectoral planning and investment.

An observational study of monitoring of vital signs in children admitted to Kenyan hospitals: an insight into the quality of nursing care?

Background

Measurement and correct interpretation of vital signs is part of routine clinical care. Repeated measurement enhances early recognition of deterioration, may help prevent morbidity and mortality and is a standard of care in most countries.

Objective

To examine documentation of vital signs by clinicians for admissions to paediatric wards in Kenyan hospitals, to describe monitoring frequency by nurses and explore factors influencing frequency.

Methods

Vital signs information (temperature, respiratory and pulse rate) for the first 48 hours of admission was collected from case records of children admitted with non-surgical conditions to 13 Kenyan county hospitals between September 2013 and April 2016. A mixed effect negative binomial regression model was used to explore whether the severity of illness (indicated by danger signs or severe diagnostic episodes) is associated with increased vital signs observation frequency.

Results

We examined 54 800 admission episodes with an overall mortality 6.1%. Nurse to bed ratios were very low (1:10 to 1:41 across hospitals). Admitting clinicians documented all or no vital signs in 57.0% and 8.4% cases respectively. For respiratory and pulse rates there was pronounced even end-digit preference (an indicator of incorrect information) and high frequency recording of specific values (P < 0.001) suggesting approximation. Monitoring frequency was explored in 41 738 children. Those with inpatient stays ≥48 hours were expected to have a vital signs count of 18, hospitals varied but most did not achieve this benchmark (median 9, range 2-30). There were clinically small but significant associations between vital signs count and presence of multiple severe illnesses or presence of severe pallor (adjusted relative risk ratio = 1.04, P < 0.01, 95% confidence interval CI = 1.02-1.06 and 1.05, P = 0.02, 95% CI = 1.01-1.09, respectively).

Conclusions

Data suggest accurate admission measures are sometimes missing especially for pulse and respiratory rates, possibly linked to manual measurement. Monitoring frequency is often low in the high risk population studied probably indicating how quality of nursing care is undermined by considerable human resource shortages.

Staged implementation of a two-tiered hospital-based neonatal care package in a resource-limited setting in Eastern Uganda

Neonatal mortality remains a major global challenge. Most neonatal deaths occur in low-income countries, but it is estimated that over two-thirds of these deaths could be prevented if achievable interventions are scaled up. To date, initiatives have focused on community and obstetric interventions, and there has been limited simultaneous drive to improve neonatal care in the health facilities where the sick neonates are being referred. Few data exist on the process of implementing of neonatal care packages and their impact. Evidence-based guidelines for neonatal care in health facilities in low-resource settings and direction on how to achieve these standards of neonatal care are therefore urgently needed. We used the WHO-Recommended Quality of Care Framework to build a strategy for quality improvement of neonatal care in a busy government hospital in Eastern Uganda. Twelve key interventions were designed to improve infrastructure, equipment, protocols and training to provide two levels of neonatal care. We implemented this low-cost, hospital-based neonatal care package over an 18-month period. This data-driven analysis paper illustrates how simple changes in practice, provision of basic equipment and protocols, ongoing training and dedicated neonatal staff can reduce neonatal mortality substantially even without specialist equipment. Neonatal mortality decreased from 48% to 40% (P=0.25) after level 1 care was implemented and dropped further to 21% (P<0.01) with level 2 care. In our experience, a dramatic impact on neonatal mortality can be made through modest and cost-effective interventions. We recommend that stakeholders seeking to improve neonatal care in low-resource settings adopt a similar approach.

Association of nursing overtime, nurse staffing and unit occupancy with medical incidents and outcomes of very preterm infants

OBJECTIVE

To examine the association of nursing overtime, nursing provision and unit occupancy rate with medical incident rates in the neonatal intensive care unit (NICU) and the risk of mortality or major morbidity among very preterm infants.

STUDY DESIGN

Single center retrospective cohort study of infants born within 23 to 29 weeks of gestational age or birth weight <1000 g admitted at a 56 bed, level III NICU. Nursing overtime ratios (nursing overtime hours/total nursing hours), nursing provision ratios (nursing hours/recommended nursing hours based on patient dependency categories) and unit occupancy rates were pooled for all shifts during NICU hospitalization of each infant. Log-binomial models assessed their association with the composite outcome (mortality or major morbidity).

RESULTS

Of the 257 infants that met the inclusion criteria, 131 (51%) developed the composite outcome. In the adjusted multivariable analyses, high (>3.4%) relative to low nursing overtime ratios (⩽3.4%) were not associated with the composite outcome (relative risk (RR): 0.93; 95% confidence interval (CI): 0.86 to 1.02). High nursing provision ratios (>1) were associated with a lower risk of the composite outcome relative to low ones (⩽1) (RR: 0.81; 95% CI: 0.74 to 0.90). NICU occupancy rates were not associated with the composite outcome (RR: 0.98; 95% CI: 0.89 to 1.07, high (>100%) vs low (⩽100%)). Days with high nursing provision ratios (>1) were also associated with lower risk of having medical incidents (RR: 0.91; 95% CI: 0.82 to 0.99).

CONCLUSION

High nursing provision ratio during NICU hospitalization is associated with a lower risk of a composite adverse outcome in very preterm infants.

The function of patient-centered care in mitigating the effect of nursing shortage on the outcomes of care

BACKGROUND

The shortage of nursing staff is a national and international issue. Inadequate number of hospital nurse staff leads to poor health care services. Yet the effects of patient-centeredness between the relationships of nursing shortage on the quality of care (QC) and patient safety (PS) have not been explored. The aim of this study was to examine the mediating effects of patient-centeredness on the relationship of nursing shortage on the QC and PS in the Medical and Surgical Wards, in Malaysian private hospitals.

METHOD

A descriptive, cross-sectional study was carried out on 12 private hospitals. Data was gathered, through a self- administered questionnaire, from 652 nurses, with a 61.8% response rate. Stratified simple random sampling was used to allow all nurses to participate in the study. Hayes PROCESS macro-regression analyses were conducted to explore the mediating effects of patient-centeredness on the relationships of hospital nurse staffing on the QC and PS.

RESULTS

Patient-centeredness mediated the relationships of hospital nurse staffing on both the QC (F = 52.73 and P = 0.000) and PS (F = 31.56 and P = 0.000).

CONCLUSION

Patient-centeredness helps to mitigate the negative associations of nursing shortage on the outcomes of care. The study provides a guide for hospital managers, leaders, decision-makers, risk managers, and policymakers to maintain adequate staffing level and instill the culture of patient-centeredness in order to deliver high quality and safer care.

T-piece versus self-inflating bag ventilation in preterm neonates at birth

OBJECTIVE

To verify whether the use of the T-piece resuscitator compared with the self-inflating bag in preterm infants ventilated at birth modifies survival to hospital discharge without major morbidities.

DESIGN

Pragmatic prospective cohort study.

SETTING

20 Brazilian university hospitals of Brazilian Network on Neonatal Research. Patients were 1962 inborn infants in 2014-2015 ventilated at birth with 23-33' weeks gestation and birth weight 400-1499 g without malformations. Patients transferred until the 27th day after birth were excluded.

INTERVENTIONS

Positive pressure ventilation at birth with T-piece resuscitator or self-inflating bag without positive end expiratory pressure valve. Intervention with ventilation followed the Brazilian Society of Pediatrics guidelines. The choice of the equipment was at the neonatologist's discretion in each delivery. The main outcome measures were survival to hospital discharge without bronchopulmonary dysplasia, severe peri-intraventricular haemorrhage and periventricular leucomalacia. Logistic regression adjusted for confounding variables was applied for main outcome.

RESULTS

1456 (74%) were only ventilated with T-piece resuscitator and 506 (26%) with the self-inflating bag. The characteristics of those ventilated with T-Piece resuscitator versus self-inflating bag were birth weight 969 ± 277 vs 941 ± 279 g, gestational age 28.2±2.5 vs 27.8±2.7 weeks and survival to hospital discharge without major morbidities 47% vs 35%. Logistic regression adjusted for maternal characteristics, obstetric and neonatal morbidities showed that the T-piece resuscitator increased the chance of survival to hospital discharge without major morbidities (OR=1.38; 95% CI 1.06 to 1.80; Hosmer-Lemeshow goodness of fit: 0.695).

CONCLUSION

This study is the first that highlights the effectiveness of T-piece resuscitator ventilation in improving relevant outcomes in preterm neonates.

The effect of health care expenditure on patient outcomes: Evidence from English neonatal care

The relationship between health care expenditure and health outcomes has been the subject of recent academic inquiry in order to inform cost-effectiveness thresholds for health technology assessment agencies. Previous studies in public health systems have relied upon data aggregated at the national or regional level; however, there remains debate about whether the supply side effect of changes to expenditure are identifiable using data at this level of aggregation. We use detailed patient data derived from electronic neonatal records across England along with routinely available cost data to estimate the effect of changes to patient expenditure on clinical health outcomes in a well-defined patient population. A panel of 32 neonatal intensive care units for the period 2009-2013 was constructed. Accounting for the potential endogeneity of expenditure a £100 increase in the cost per intensive care cot day (sample average cost: £1,127) is estimated to reduce the risk of mortality of 0.38 percentage points (sample average mortality: 11.0%) in neonatal intensive care. This translates into a cost per life saved in neonatal intensive care of approximately £420,000.

Observational study shows that nurses spend more time caring for mechanically ventilated preterm infants than those receiving noninvasive ventilation

AIM

This study analysed how nursing workloads in a neonatal intensive care unit (NICU) depended on the type of respiratory support provided, and how this relationship varied by the infant's postnatal age and weight.

METHODS

We used a prospective study design in a NICU in a tertiary perinatal centre in Germany. This entailed collecting data on nursing activities by observing 41 nurses for 155 hours between June 2015 and November 2015 and measuring the average nursing capacity required for direct care. Regression analysis was used to test for differences in nursing workloads between respiratory support types.

RESULTS

Mechanically ventilated infants each required an average of 60% of the time one nurse had available to spend on direct care during the periods observed. In contrast, those receiving noninvasive ventilation only required 34% and special care infants required 13%. After the first 72 hours of life, mechanically ventilated infants required an average nursing capacity of 40%, while infants receiving noninvasive ventilation required 32% and special care infants required 25%.

CONCLUSION

Invasive support was associated with higher workloads than noninvasive support. The differences were partially moderated by individual factors, such as the infant's age. The findings should be replicated within a multicentre design.

Mechanical Ventilation, Weaning Practices, and Decision Making in European PICUs

OBJECTIVES

This survey had three key objectives: 1) To describe responsibility for key ventilation and weaning decisions in European PICUs and explore variations across Europe; 2) To describe the use of protocols, spontaneous breathing trials, noninvasive ventilation, high-flow nasal cannula use, and automated weaning systems; and 3) To describe nurse-to-patient staffing ratios and perceived nursing autonomy and influence over ventilation decision making.

DESIGN

Cross-sectional electronic survey.

SETTING

European PICUs.

PARTICIPANTS

Senior ICU nurse and physician from participating PICUs.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Response rate was 64% (65/102) representing 19 European countries. Determination of weaning failure was most commonly based on collaborative decision making (81% PICUs; 95% CI, 70-89%). Compared to this decision, selection of initial ventilator settings and weaning method was least likely to be collaborative (relative risk, 0.30; 95% CI, 0.20-0.47 and relative risk, 0.45; 95% CI, 0.32-0.45). Most PICUs (> 75%) enabled physicians in registrar (fellow) positions to have responsibility for key ventilation decisions. Availability of written guidelines/protocols for ventilation (31%), weaning (22%), and noninvasive ventilation (33%) was uncommon, whereas sedation protocols (66%) and sedation assessment tools (76%) were common. Availability of protocols was similar across European regions (all p > 0.05). High-flow nasal cannula (53%), noninvasive ventilation (52%) to avoid intubation, and spontaneous breathing trials (44%) were used in approximately half the PICUs greater than 50% of the time. A nurse-to-patient ratio of 1:2 was most frequent for invasively (50%) and noninvasively (70%) ventilated patients. Perceived nursing autonomy (median [interquartile range], 4 [2-6]) and influence (median [interquartile range], 7 [5-8]) for ventilation and weaning decisions varied across Europe (p = 0.007 and p = 0.01, respectively) and were highest in Northern European countries.

CONCLUSIONS

We found variability across European PICUs in interprofessional team involvement for ventilation decision making, nurse staffing, and perceived nursing autonomy and influence over decisions. Patterns of adoption of tools/adjuncts for weaning and sedation were similar.

The Intensive Care Lifeboat: a survey of lay attitudes to rationing dilemmas in neonatal intensive care

BACKGROUND

Resuscitation and treatment of critically ill newborn infants is associated with relatively high mortality, morbidity and cost. Guidelines relating to resuscitation have traditionally focused on the best interests of infants. There are, however, limited resources available in the neonatal intensive care unit (NICU), meaning that difficult decisions sometimes need to be made. This study explores the intuitions of lay people (non-health professionals) regarding resource allocation decisions in the NICU.

METHODS

The study design was a cross-sectional quantitative survey, consisting of 20 hypothetical rationing scenarios. There were 119 respondents who entered the questionnaire, and 109 who completed it. The respondents were adult US and Indian participants of the online crowdsourcing platform Mechanical Turk. Respondents were asked to decide which of two infants to treat in a situation of scarce resources. Demographic characteristics, personality traits and political views were recorded. Respondents were also asked to respond to a widely cited thought experiment involving rationing.

RESULTS

The majority of respondents, in all except one scenario, chose the utilitarian option of directing treatment to the infant with the higher chance of survival, higher life expectancy, less severe disability, and less expensive treatment. As discrepancy between outcomes decreased, however, there was a statistically significant increase in egalitarian responses and decrease in utilitarian responses in scenarios involving chance of survival (P = 0.001), life expectancy (P = 0.0001), and cost of treatment (P = 0.01). In the classic 'lifeboat' scenario, all but two respondents were utilitarian.

CONCLUSIONS

This survey suggests that in situations of scarcity and equal clinical need, non-health professionals support rationing of life-saving treatment based on probability of survival, duration of survival, cost of treatment or quality of life. However, where the difference in prognosis or cost is very small, non-health professionals preferred to give infants an equal chance of receiving treatment.