Nurse-to-patient ratios and neonatal outcomes: a brief systematic review

Scoping review of systematic reviews of nursing interventions in a neonatal intensive care unit or special care nursery

AIM(S)

To identify, synthesise and map systematic reviews of the effectiveness of nursing interventions undertaken in a neonatal intensive care unit or special care nursery.

DESIGN

This scoping review was conducted according to the JBI scoping review framework.

METHODS

Review included systematic reviews that evaluated any nurse-initiated interventions that were undertaken in an NICU or SCN setting. Studies that reported one or more positive outcomes related to the nursing interventions were only considered for this review. Each outcome for nursing interventions was rated a 'certainty (quality) of evidence' according to the Grading of Recommendations, Assessment, Development and Evaluations criteria.

DATA SOURCES

Systematic reviews were sourced from the Cochrane Database of Systematic Reviews and Joanna Briggs Institute Evidence Synthesis for reviews published until February 2023.

RESULTS

A total of 428 articles were identified; following screening, 81 reviews underwent full-text screening, and 34 articles met the inclusion criteria and were included in this review. Multiple nursing interventions reporting positive outcomes were identified and were grouped into seven categories. Respiratory 7/34 (20%) and Nutrition 8/34 (23%) outcomes were the most reported categories. Developmental care was the next most reported category 5/34 (15%) followed by Thermoregulation, 5/34 (15%) Jaundice 4/34 (12%), Pain 4/34 (12%) and Infection 1/34 (3%).

CONCLUSIONS

This review has identified nursing interventions that have a direct positive impact on neonatal outcomes. However, further applied research is needed to transfer this empirical knowledge into clinical practice.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Implementing up-to-date evidence on effective nursing interventions has the potential to significantly improving neonatal outcomes.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public involvement in this scoping review.

Enteral feeding in neonates ≥34 weeks of gestation with moderate to severe birth asphyxia: A retrospective observational study

There are no standard guidelines regarding time for initiation of feeds in moderate to severely asphyxiated neonates and data regarding the same in neonates are scanty. Case sheets of all neonates born ≥34 weeks of gestation who satisfied the definition were analysed. The early feeding group was defined as those in whomh feeds were started <24 h and the late feeding group as those started ≥24 h of life. The primary outcome of the study was time to achieve full enteral feeds. A total of 184 neonates were enrolled. Mean time to reach full enteral feeding was 53.7 ± 24.8 h in the early feeding group as compared to 95.0 ± 81.1 h in late enteral feeding group, with a mean difference of 41.3 (25.7-56.8) h. The incidence of adverse secondary outcomes was higher in the late feeding group.

Contextually appropriate nurse staffing models: a realist review protocol

INTRODUCTION

Decisions about nurse staffing models are a concern for health systems globally due to workforce retention and well-being challenges. Nurse staffing models range from all Registered Nurse workforce to a mix of differentially educated nurses and aides (regulated and unregulated), such as Licensed Practical or Vocational Nurses and Health Care Aides. Systematic reviews have examined relationships between specific nurse staffing models and client, staff and health system outcomes (eg, mortality, adverse events, retention, healthcare costs), with inconclusive or contradictory results. No evidence has been synthesised and consolidated on how, why and under what contexts certain staffing models produce different outcomes. We aim to describe how we will (1) conduct a realist review to determine how nurse staffing models produce different client, staff and health system outcomes, in which contexts and through what mechanisms and (2) coproduce recommendations with decision-makers to guide future research and implementation of nurse staffing models.

METHODS AND ANALYSIS

Using an integrated knowledge translation approach with researchers and decision-makers as partners, we are conducting a three-phase realist review. In this protocol, we report on the final two phases of this realist review. We will use Citation tracking, tracing Lead authors, identifying Unpublished materials, Google Scholar searching, Theory tracking, ancestry searching for Early examples, and follow-up of Related projects (CLUSTER) searching, specifically designed for realist searches as the review progresses. We will search empirical evidence to test identified programme theories and engage stakeholders to contextualise findings, finalise programme theories document our search processes as per established realist review methods.

ETHICS AND DISSEMINATION

Ethical approval for this study was provided by the Health Research Ethics Board of the University of Alberta (Study ID Pro00100425). We will disseminate the findings through peer-reviewed publications, national and international conference presentations, regional briefing sessions, webinars and lay summary.

Barriers and enablers of quality high-acuity neonatal care in sub-Saharan Africa: protocol for a synthesis of qualitative evidence

INTRODUCTION

Neonatal intensive care unit (NICU) in sub-Saharan Africa face limited resources and systemic challenges, resulting in poorer quality care, higher infant mortality, and dissatisfaction among both patients and healthcare workers. This review aims to bridge the knowledge gap by identifying and analysing the key barriers and enablers affecting quality care, informing interventions to improve patient outcomes and overall NICU effectiveness in this critical region.

METHODS AND ANALYSIS

This systematic review will search and gather data from a variety of databases, including JBI Database, Cochrane Database, MEDLINE/PubMed, CINAHL/EBSCO, EMBASE, PEDro, POPLINE, Proquest, OpenGrey (SIGLE), Google Scholar, Google, APA PsycINFO, Web of Science, Scopus and HINARI. The review will also include unpublished studies and grey literature from a variety of sources. This review will only include qualitative and mixed-methods studies that explore the barriers and enablers of quality care for high-acuity neonates using qualitative data collection and analysis methods. The Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Qualitative Research will be used by two independent reviewers to critically appraise the eligible studies. Any disagreements that arise will be resolved through discussion. Qualitative research findings will be pooled using the meta-aggregation approach in QARI software, where possible. Only unequivocal and credible findings will be included in the synthesis. If textual pooling is not possible, the findings will be presented in narrative form.

ETHICS AND DISSEMINATION

This systematic review does not require ethical clearance, and the findings will be disseminated to relevant stakeholders to ensure the widest possible outreach and impact.

PROSPERO REGISTRATION NUMBER

CRD42023473134.

The potential of patient-based nurse staffing - a queuing theory application in the neonatal intensive care setting

Faced by a severe shortage of nurses and increasing demand for care, hospitals need to optimally determine their staffing levels. Ideally, nurses should be staffed to those shifts where they generate the highest positive value for the quality of healthcare. This paper develops an approach that identifies the incremental benefit of staffing an additional nurse depending on the patient mix. Based on the reasoning that timely fulfillment of care demand is essential for the healthcare process and its quality in the critical care setting, we propose to measure the incremental benefit of staffing an additional nurse through reductions in time until care arrives (TUCA). We determine TUCA by relying on queuing theory and parametrize the model with real data collected through an observational study. The study indicates that using the TUCA concept and applying queuing theory at the care event level has the potential to improve quality of care for a given nurse capacity by efficiently trading situations of high versus low workload.

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.

Managing missing and erroneous data in nurse staffing surveys

BACKGROUND

Analysis can be problematic in research when data are missing or erroneous. Various methods are available for managing missing and erroneous data, but little is known about which are the best to use when conducting cross-sectional surveys of nurse staffing.

AIM

To explore how missing and erroneous data were managed in a study that involved a cross-sectional survey of nurse staffing.

DISCUSSION

The article describes a study that used a cross-sectional survey to estimate the ratio of registered nurses to patients, using self-reported data by nurses. It details the techniques used in the study to manage missing and erroneous data and presents the results of the survey before and after the treatment of missing data.

CONCLUSION

Managing missing data effectively and reporting procedures transparently reduces the possibility of bias in a study's results and increases its reproducibility. Nurse researchers need to understand the methods available to handle missing and erroneous data. Surveys must contain unambiguous questions, as every participant should have the same understanding of a question's meaning.

IMPLICATION FOR PRACTICE

Researchers should pilot surveys - even when using validated tools - to ensure participants interpret the questions as intended.

Neonatal intensive care unit occupancy rate and probability of discharge of very preterm infants

OBJECTIVE

To assess the association of NICU occupancy with probability of discharge and length of stay (LOS) among infants born <33 weeks gestational age (GA).

STUDY DESIGN

Retrospective study of 3388 infants born 23-32 weeks GA, admitted to five Level 3/4 NICUs (2014-2018) and discharged alive. Standardized ratios of observed-to-expected number of discharges were calculated for each quintile of unit occupancy. Multivariable linear regression models were used to assess the association between occupancy and LOS.

RESULTS

At the lowest unit occupancy quintiles (Q1 and Q2), infants were 12% and 11% less likely to be discharged compared to the expected number. At the highest unit occupancy quintile (Q5), infants were 20% more likely to be discharged. Highest occupancy (Q5) was also associated with a 4.7-day (95% CI 1.7, 7.7) reduction in LOS compared Q1.

CONCLUSION

NICU occupancy was associated with likelihood of discharge and LOS among infants born <33 weeks GA.

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.

Fewer Patients per Nurse Does Not Offset Increased Nurse Stress Related to Treatment Uncertainty and Mortality in the Neonatal Intensive Care Unit

BACKGROUND

Many inpatient healthcare institutions' nurse staffing plans systematically assign fewer patients to nurses when patient acuity is high, but the impact of this strategy on components of nurse stress has not been thoroughly investigated.

PURPOSE

To examine the relationship between nurse-to-patient ratio assigned based on NICU patient acuity with the Nurse Stress Scale (NSS) subscales Death and Dying, Conflict with Physicians, Inadequate Preparation, Lack of Support, Conflict with Other Nurses, Work Load, and Uncertainty Concerning Treatment.

METHODS

A survey including the NSS tool items, demographic questions, and a question about nurse-to-patient ratio during the shift was administered. Cronbach's α, linear regression, and Spearman's correlation were used for data analysis.

RESULTS

Analysis of the 72 participating NICU nurses' survey responses showed fewer patients per nurse during the shift was negatively correlated with stress related to Death and Dying ( P < .001) and Uncertainty Concerning Treatment ( P = .002) subscale scores. This inverse relationship remained significant after controlling for education and years of experience.

IMPLICATIONS FOR PRACTICE

The observed higher stress can be inferred to be due to high patient acuity since fewer patients are assigned to nurses caring for high-acuity patients. Improvements in communication to nurses about patients' medical condition, treatment rationale, and information that should be conveyed to the family could reduce nurse stress from treatment uncertainty. Targeted education and counseling could help nurses cope with stress due to patient deaths.

IMPLICATIONS FOR RESEARCH

Interventions to reduce stress related to treatment uncertainty and death of patients among NICU nurses caring for high-acuity infants should be developed and evaluated.

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..

Application of HAS 2017 guidelines for asymptomatic neonates born at ≥34 weeks' gestation at risk of early-onset neonatal sepsis in a level-2 maternity department

The 2017 Haute Autorité de santé (HAS) guidelines for the medical care of neonates born at≥34 weeks' gestation (WG) at risk of early-onset neonatal sepsis (EONS) placed emphasis on clinical examination rather than laboratory tests.

AIM

Were these guidelines relevant in our level-2 maternity department, and how can they affect our professional practice?

METHODS

Single-site observational study of asymptomatic 35 WG neonates at risk of EONS, born in the centre hospitalier de Bigorre, with follow-up analysis during two 5-month periods (from September 2017 to January 2018, and September 2018 to January 2019), before and after the publication of the HAS guidelines. The main objective was feasibility, evaluated by checking the completion of a standardised assessment chart. The second objective was the impact of the guidelines on professional practices evaluated by the number of laboratory tests carried out during the two periods.

RESULTS

Out of 455 births during the first period and the 396 births during the second, 78 (17,1%) and 50 (12,6%) newborns, respectively, at risk of EONS were included. Those two groups had statistically similar characteristics. Overall, 49 (98%) assessment charts were satisfactorily completed for the 50 newborns. The number of laboratory tests decreased significantly (P<0.01): During the first period, all the newborns (78, 100%) had a C-reactive protein (CRP) test and 66 (84,6%) had a gastric fluid culture, versus one (2%) CRP and three (6%) gastric fluid cultures during the second period.

CONCLUSION

The HAS guidelines, emphasising repeated clinical assessment of newborns at risk of EONS rather than laboratory, were considered to be feasible in our maternity department. They led to an improvement in our professional practices and a reduction in laboratory procedures.

Systematic review of the evidence related to mandated nurse staffing ratios in acute hospitals

Objective The purpose of this systematic review was to evaluate and summarise available research on nurse staffing methods and relate these to outcomes under three overarching themes of: (1) management of clinical risk, quality and safety; (2) development of a new or innovative staffing methodology; and (3) equity of nursing workload. Methods The PRISMA method was used. Relevant articles were located by searching via the Griffith University Library electronic catalogue, including articles on PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Medline. Only English language publications published between 1 January 2010 and 30 April 2016 focusing on methodologies in acute hospital in-patient units were included in the present review. Results Two of the four staffing methods were found to have evidenced-based articles from empirical studies within the parameters set for inclusion. Of the four staffing methodologies searched, supply and demand returned 10 studies and staffing ratios returned 11. Conclusions There is a need to develop an evidence-based nurse-sensitive outcomes measure upon which staffing for safety, quality and workplace equity, as well as an instrument that reliability and validly projects nurse staffing requirements in a variety of clinical settings. Nurse-sensitive indicators reflect elements of patient care that are directly affected by nursing practice In addition, these measures must take into account patient satisfaction, workload and staffing, clinical risks and other measures of the quality and safety of care and nurses' work satisfaction. i. What is known about the topic? Nurse staffing is a controversial topic that has significant patient safety, quality of care, human resources and financial implications. In acute care services, nursing accounts for approximately 70% of salaries and wages paid by health services budgets, and evidence as to the efficacy and effectiveness of any staffing methodology is required because it has workforce and industrial relations implications. Although there is significant literature available on the topic, there is a paucity of empirical evidence supporting claims of increased patient safety in the acute hospital setting, but some evidence exists relating to equity of workload for nurses. What does this paper add? This paper provides a contemporary qualitative analysis of empirical evidence using PRISMA methodology to conduct a systematic review of the available literature. It demonstrates a significant research gap to support claims of increased patient safety in the acute hospital setting. The paper calls for greatly improved datasets upon which research can be undertaken to determine any associations between mandated patient to nurse ratios and other staffing methodologies and patient safety and quality of care. What are the implications for practitioners? There is insufficient contemporary research to support staffing methodologies for appropriate staffing, balanced workloads and quality, safe care. Such research would include the establishment of nurse-sensitive patient outcomes measures, and more robust datasets are needed for empirical analysis to produce such evidence.

Factors associated with patient safety in neonatal intensive care units: A multicenter study using ordinal logistic regression

AIM

This study aimed to identify nurses' staffing levels, neonatal infection experience, infection control knowledge, and infection control performance, as well as levels of patient safety, and to verify the factors influencing patient safety related to infection control in multi-centered neonatal intensive care units (NICUs).

METHODS

A self-administered questionnaire was completed by 251 NICU nurses working in seven hospitals throughout South Korea. The data were collected in February 2019 and analyzed using generalized ordinal logistic regression.

RESULTS

The distribution of patient safety was as follows: level 1 (very poor) 0%, level 2 (poor) 6.8%, level 3 (fair) 29.7%, level 4 (good) 35.0%, level 5 (very good) 21.5%, and level 6 (excellent) 7.2%. The factors influencing patient safety differed across the different levels of patient safety. Comparing patient safety level 2 with the other levels (3, 4, 5, 6), the nurse staffing level (b = 1.12) was a significant influencing factor. Comparing patient safety levels 2, 3, 4 and 5 with level 6, the influencing factors were neonatal infection experience (b = -1.18) and infection control performance (b = 5.77).

CONCLUSION

The nurse staffing level was a factor when patient safety levels were low, and nurses' neonatal infection experience and infection control performance were factors when patient safety levels were high. Institutional policy efforts are required to identify patient safety levels in NICUs to develop comprehensive strategies to ensure appropriate nurse staffing and enhance neonatal infection control performance to prevent infections.

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.

[Is the Quality Guideline of Care Delivery of Preterm and Mature Infants (QFR-RL) of the Federal Joint Committee (G-BA) a Quality Risk? - An Analysis of the Fulfillment Rate and the Consequences for Care Delivery to Other IC Patients and Imminent Premature Infants at a Regional Network of Perinatal Centers]

BACKGROUND

The quality guideline for care delivery to preterm and mature infants (QFR-RL) places high demands on perinatal centers. In this analysis, the degree of fulfillment was determined. Additionally, care delivery to further patient groups and sufficient nursing staff capacity for care delivery to imminent preterm infants (FG) were evaluated.

METHODS

A network of 4 perinatal centers (level 1) with about 10,000 births per year supplied the data on the ratio of 1:1/1:2-care infants, patients per nurse, and nursing staff capacity. This data was statistically evaluated by center, shift, and week day over a period of 5 months for compliance with QFR-RL and DGPM recommendations. Furthermore, imminent preterm infants were recorded and compared with available nursing staff capacity.

RESULTS

In total, the QFR-RL was fulfilled in 88% of shifts (n=1,584). Only one center reached the required 95%. The degree of fulfillment and the number of staff nurses declined from late to night shifts (p<0.001). The ratio of 1:1-care infants was significantly higher when demands were not fulfilled (p<0.001). Only 14.1% of imminent preterm infants could have been attended in accordance with the QFR-RL.

CONCLUSION

1:1 care as well as lower nurse staffing in late and night shifts lead to non-fulfillment of requirements and poorer care delivery to other intensive care patients. This was also reflected in the lower degree of fulfillment of DGPM recommendations. Sufficient nursing staff capacity was rare with the consequence that it was almost impossible to deliver care to imminent preterm infants per the guideline.

Improving the quality of quality metrics in neonatology

This article examines approaches for improving the efficiency and effectiveness of quality metrics currently in use in neonatal care. Desirable characteristics of quality metrics are discussed, the criteria and process for their development are presented, and the uses and limitations of current neonatal outcome and process metrics are explored together with approaches for improving metric performance. Discussion includes enhancing quality metrics through optimizing improvement readiness, sustaining improvements once achieved, and use of improvement science methods to improve metric validity.

Towards understanding global patterns of antimicrobial use and resistance in neonatal sepsis: insights from the NeoAMR network

OBJECTIVE

To gain an understanding of the variation in available resources and clinical practices between neonatal units (NNUs) in the low-income and middle-income country (LMIC) setting to inform the design of an observational study on the burden of unit-level antimicrobial resistance (AMR).

DESIGN

A web-based survey using a REDCap database was circulated to NNUs participating in the Neonatal AMR research network. The survey included questions about NNU funding structure, size, admission rates, access to supportive therapies, empirical antimicrobial guidelines and period prevalence of neonatal blood culture isolates and their resistance patterns.

SETTING

39 NNUs from 12 countries.

PATIENTS

Any neonate admitted to one of the participating NNUs.

INTERVENTIONS

This was an observational cohort study.

RESULTS

The number of live births per unit ranged from 513 to 27 700 over the 12-month study period, with the number of neonatal cots ranging from 12 to 110. The proportion of preterm admissions <32 weeks ranged from 0% to 19%, and the majority of units (26/39, 66%) use Essential Medicines List 'Access' antimicrobials as their first-line treatment in neonatal sepsis. Cephalosporin resistance rates in Gram-negative isolates ranged from 26% to 84%, and carbapenem resistance rates ranged from 0% to 81%. Glycopeptide resistance rates among Gram-positive isolates ranged from 0% to 45%.

CONCLUSION

AMR is already a significant issue in NNUs worldwide. The apparent burden of AMR in a given NNU in the LMIC setting can be influenced by a range of factors which will vary substantially between NNUs. These variations must be considered when designing interventions to improve neonatal mortality globally.

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.

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.

Variation in hospital charges in patients with external ventricular drains: comparison between the intensive care and surgical floor settings

OBJECTIVE

Placement of an external ventricular drain (EVD) is a common and potentially life-saving neurosurgical procedure, but the economic aspect of EVD management and the relationship to medical expenditure remain poorly studied. Similarly, interinstitutional practice patterns vary significantly. Whereas some institutions require that patients with EVDs be monitored strictly within the intensive care unit (ICU), other institutions opt primarily for management of EVDs on the surgical floor. Therefore, an ICU burden for patients with EVDs may increase a patient's costs of hospitalization. The objective of the current study was to examine the expense differences between the ICU and the general neurosurgical floor for EVD care.

METHODS

The authors performed a retrospective analysis of data from 2 hospitals within a single, large academic institution-the University of Washington Medical Center (UWMC) and Seattle Children's Hospital (SCH). Hospital charges were evaluated according to patients' location at the time of EVD management: SCH ICU, SCH floor, or UWMC ICU. Daily hospital charges from day of EVD insertion to day of removal were included and screened for days that would best represent baseline expenses for EVD care. Independent-samples Kruskal-Wallis analysis was performed to compare daily charges for the 3 settings.

RESULTS

Data from a total of 261 hospital days for 23 patients were included in the analysis. Ten patients were cared for in the UWMC ICU and 13 in the SCH ICU and/or on the SCH neurosurgical floor. The median values for total daily hospital charges were $19,824.68 (interquartile range [IQR] $12,889.73-$38,494.81) for SCH ICU care, $8,620.88 (IQR $6,416.76-$11,851.36) for SCH floor care, and $10,002.13 (IQR $8,465.16-$12,123.03) for UWMC ICU care. At SCH, it was significantly more expensive to provide EVD care in the ICU than on the floor (p < 0.001), and the daily hospital charges for the UWMC ICU were significantly greater than for the SCH floor (p = 0.023). No adverse clinical event related to the presence of an EVD was identified in any of the settings.

CONCLUSIONS

ICU admission solely for EVD care is costly. If safe EVD care can be provided outside of the ICU, it would represent a potential area for significant cost savings. Identifying appropriate patients for EVD care on the floor is multifactorial and requires vigilance in balancing the expenses associated with ICU utilization and optimal patient care.

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.

Informing Leadership Models: Nursing and Organizational Characteristics of Neonatal Intensive Care Units in Freestanding Children's Hospitals

BACKGROUND

Neonatal intensive care units (NICUs) located in freestanding children's hospitals may exhibit significant variation in nursing and organizational characteristics, which can serve as opportunities for collaboration to understand optimal staffing models and linkages to patient outcomes.

OBJECTIVES

Adopting methods used by Hickey et al in pediatric cardiovascular critical care, the purpose of this study was to provide a foundational description of the nursing and organizational characteristics for NICUs located in freestanding children's hospitals in the United States.

METHODS

Clinical nurse leaders in NICUs located in freestanding children's hospitals were invited to participate in an electronic cross-sectional survey. Descriptive analyses were used to summarize nursing and organizational characteristics.

RESULTS

The response rate was 30% (13/43), with 69.2% of NICUs classified as level III/IV and 30.8% classified as level II/III. Licensed bed capacity varied significantly (range, 24-167), as did the proportion of full-time equivalent nurses (range, 71.78-252.3). Approximately three-quarters of staff nurses held baccalaureate degrees or higher. A quarter of nurses had 16 or more years (26.3%) of experience, and 36.9% of nurses had 11 or more years of nursing experience. Nearly one-third (29.2%) had 5 or less years of total nursing experience. Few nurses (10.6%) held neonatal specialty certification. All units had nurse educators, national and unit-based quality metrics, and procedural checklists.

CONCLUSION

This study identified (1) variation in staffing models signaling an opportunity for collaboration, (2) the need to establish ongoing processes for sites to participate in future collaborative efforts, and (3) survey modifications necessary to ensure a more comprehensive understanding of nursing and organizational characteristics in freestanding children's hospital NICUs.

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.

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.

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.

Association of high psychiatrist staffing with prolonged hospitalization, follow-up visits, and readmission in acute psychiatric units: a retrospective cohort study using a nationwide claims database

BACKGROUND

The effects of psychiatrist staffing are unclear. The aim of this study was to assess the association of high psychiatrist staffing with prolonged hospitalization, follow-up visits, and readmission in acute psychiatric units.

METHODS

A retrospective cohort study was conducted using the National Database of Health Insurance Claim Information and Specified Medical Checkups. Patients newly admitted to acute psychiatric units between October 2014 and September 2015 were followed up until September 2016. The primary exposure was a patient-to-psychiatrist ratio of 16:1 (high-staffing units) vs 48:1 (low-staffing units). Outcomes were prolonged hospitalization of >90 days, number of follow-up psychiatric visits within 90 days after discharge, and psychiatric readmission within 90 days after discharge. Incidence rate ratios (IRRs) and their 95% confidence intervals (CIs) were estimated by using generalized estimating equations, adjusting for potential covariates.

RESULTS

Among the 24,678 newly admitted patients at 190 hospitals, 13,138 patients (53.2%) were admitted to high-staffing units in 92 hospitals. After adjustment, high-staffing units were associated with a lower risk of prolonged hospitalization (incidence rate, 16.9 vs 21.3%; IRR, 0.79 [95% CI, 0.70, 0.89]), higher number of follow-up visits (incidence rate of ≥7 visits, 16.9 vs 13.4%; IRR, 1.06 [95% CI, 1.01, 1.12]), and lower risk of readmission (incidence rate, 13.0 vs 14.4%; IRR, 0.90 [95% CI, 0.82, 0.99]).

CONCLUSION

High-staffing units are associated with a reduced risk of prolonged hospitalization and readmission and an increased number of follow-up visits. Further research is needed to improve the generalizability of these findings and establish the optimal level of staffing.

Subjective and Objective Measurement of Neonatal Nurse Practitioner Workload

BACKGROUND

Neonatal nurse practitioner (NNP) workload is not well studied, and metrics specific to NNP practice are lacking. Factors such as changes in resident duty hours, increasing neonatal intensive care unit admissions, and a shortage of NNPs contribute to NNP workload. Increased workload has been shown to be detrimental to providers and can affect quality of care.

PURPOSE

This study quantified NNP workload using a subjective workload metric, the NASA Task Load Index, and a newly developed objective workload metric specific to NNP practice.

METHODS

The NNP group at a level IV academic medical center was studied. The sample included 22 NNPs and 47 workload experiences.

RESULTS

A comparison of scores from the NASA Task Load Index and objective workload metric showed a moderate correlation (r = 0.503). Mental demand workload scores had the highest contribution to workload. Feelings of frustration also contributed to workload.

IMPLICATIONS FOR PRACTICE

The NASA Task Load Index can be utilized to measure the workload of NNPs. The objective workload metric has potential to quantify NNP workload pending further validation studies and is a simple, straightforward tool.

IMPLICATIONS FOR RESEARCH

Additional research is needed regarding NNP workload and methods to quantify workload. Larger studies are needed to validate the objective workload metric.

Characteristics of late-onset sepsis in the NICU: does occupancy impact risk of infection?

OBJECTIVE

Infants in neonatal intensive care units (NICUs) are vulnerable to a variety of infections, and occupancy in the unit may correlate with risk of infection.

STUDY DESIGN

A retrospective cohort of infants admitted to the NICUs between 1997 and 2014. Survival analysis was used to model the relative hazard of sepsis infection in relation to two measures of occupancy: 1) the average census and 2) proportion of infants <32 weeks gestation in the unit.

RESULT

There were 446 (2.3%) lab-confirmed cases of bacterial or fungal sepsis, which steadily declined over time. For each additional percentage of infants <32 weeks gestation, there was an increased hazard of 2% (hazard ratio 1.02, 95% confidence interval: 1.00, 1.03) over their NICU hospitalization. Census was not associated with risk for infection.

CONCLUSION

During times of a greater proportion of infants <32 weeks gestation in the NICU, enhanced infection-control interventions may be beneficial to further reduce the incidence of infections.

Rationing of nursing care interventions and its association with nurse-reported outcomes in the neonatal intensive care unit: a cross-sectional survey

BACKGROUND

Evidence internationally suggests that staffing constraints and non-supportive work environments result in the rationing of nursing interventions (that is, limiting or omitting interventions for particular patients), which in turn may influence patient outcomes. In the neonatal intensive care unit (NICU), preliminary studies have found that discharge preparation and infant comfort care are among the most frequently rationed nursing interventions. However, it is unknown if the rationing of discharge preparation is related to lower perceptions of parent and infant readiness for NICU discharge, and if reports of increased rationing of infant comfort care are related to lower levels of perceived neonatal pain control. The purpose of this study was to assess these relationships.

METHODS

In late 2014, a cross-sectional survey was mailed to 285 Registered Nurses (RNs) working in one of 7 NICUs in the province of Quebec (Canada). The survey contained validated measures of care rationing, parent and infant readiness for discharge, and pain control, as well as items measuring RNs' characteristics. Multivariate regression was used to examine the association between care rationing, readiness for discharge and pain control, while adjusting for RNs' characteristics and clustering within NICUs.

RESULTS

Overall, 125 RNs completed the survey; a 44.0 % response rate. Among the respondents, 28.0 and 40.0 % reported rationing discharge preparation and infant comfort care "often" or "very often", respectively. Additionally, 15.2 % of respondents felt parents and infants were underprepared for NICU discharge, and 54.4 % felt that pain was not well managed on their unit. In multivariate analyses, the rationing of discharge preparation was negatively related to RNs' perceptions of parent and infant readiness for discharge, while reports of rationing of parental support and teaching and infant comfort care were associated with less favourable perceptions of neonatal pain control.

CONCLUSIONS

The rationing of nursing interventions appears to influence parent and infant readiness for discharge, as well as pain control in NICUs. Future investigations, in neonatal nursing care as well as in other nursing specialties, should address objectively measured patient outcomes (such as objective pain assessments and post-discharge outcomes assessed through administrative data).

Non-invasive respiratory support for infants in low- and middle-income countries

The overwhelming majority of neonatal deaths worldwide occur in low- and middle-income countries. Most of these deaths are attributable to respiratory illnesses and complications of preterm birth. The available data suggest that non-invasive continuous positive airway pressure (CPAP) is a safe and cost-effective therapy to reduce neonatal morbidity and mortality in these settings. Bubble CPAP compared to mechanical ventilator-generated CPAP reduces the need for subsequent invasive ventilation in newborn infants. There are limited data on the safety and efficacy of high-flow nasal cannulae in low- and middle-income countries, requiring further study prior to widespread implementation.

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

OBJECTIVE

To estimate the effect of the provision of a one-to-one nurse-to-patient ratio on mortality rates in neonatal intensive care units.

DESIGN

A population-based analysis of operational clinical data using an instrumental variable method.

SETTING

National Health Service neonatal units in England contributing data to the National Neonatal Research Database at the Neonatal Data Analysis Unit and participating in the Neonatal Economic, Staffing, and Clinical Outcomes Project.

PARTICIPANTS

43 tertiary-level neonatal units observed monthly over the period January 2008 to December 2012.

INTERVENTION

Proportion of neonatal intensive care days or proportion of intensive care admissions for which one-to-one nursing was provided.

OUTCOMES

Monthly in-hospital intensive care mortality rate.

RESULTS

Over the study period, the provision of one-to-one nursing in tertiary neonatal units declined from a median of 9.1% of intensive care days in 2008 to 5.9% in 2012. A 10 percentage point decrease in the proportion of intensive care days on which one-to-one nursing was provided was associated with an increase in the in-hospital mortality rate of 0.6 (95% CI 1.2 to 0.0) deaths per 100 infants receiving neonatal intensive care per month compared with a median monthly mortality rate of 4.5 deaths per 100 infants per month. The results remained robust to sensitivity analyses that varied the estimation sample of units, the choice of instrumental variables, unit classification and the selection of control variables.

CONCLUSIONS

Our study suggests that decreases in the provision of one-to-one nursing in tertiary-level neonatal intensive care units increase the in-hospital mortality rate.

Work environment, volume of activity and staffing in neonatal intensive care units in Italy: results of the SONAR-nurse study

Background

Neonatal units’ volume of activity, and other quantitative and qualitative variables, such as staffing, workload, work environment, care organization and geographical location, may influence the outcome of high risk newborns. Data about the distribution of these variables and their relationships among Italian neonatal units are lacking.

Methods

Between March 2010-April 2011, 63 neonatal intensive care units adhering to the Italian Neonatal Network participated in the SONAR Nurse study. Their main features and work environment were investigated by questionnaires compiled by the chief and by physicians and nurses of each unit. Twelve cross-sectional monthly-repeated surveys on different shifts were performed, collecting data on number of nurses on duty and number and acuity of hospitalized infants.

Results

Six hundred forty five physicians and 1601 nurses compiled the questionnaires. In the cross-sectional surveys 702 reports were collected, with 11082 infant and 3226 nurse data points. A high variability was found for units’ size (4–50 total beds), daily number of patients (median 14.5, range 3.4-48.7), number of nurses per shift (median 4.2, range 0.7-10.8) and number of team meetings per month. Northern regions performed better than Central and Southern regions for frequency of training meetings, qualitative assessment of performance, motivation within the unit and nursing work environment; mean physicians’ and nurses’ age increased moving from North to South. After stratification by terciles of the mean daily number of patients, the median number of nurses per shift increased at increasing volume of activity, while the opposite was found for the nurse-to-patient ratio adjusted by patients’ acuity. On average, in units belonging to the lower tercile there was 1 nurse every 2.5 patients, while in those belonging to the higher tercile the ratio was 1 nurse every 5 patients.

Conclusions

In Italy, there is a high variability in organizational characteristics and work environment among neonatal units and an uneven distribution of human resources in relation to volume of activity, suggesting that the larger the unit the greater the workload for each nurse. Urgent modifications in planning and organization of services are needed in order to pursue more efficient, homogeneous and integrated regionalized neonatal care systems.

What we talk about when we talk about NICUs: infants' acuity and nurse staffing

OBJECTIVE

Organizational features of neonatal intensive care influence the care of sick neonates. We estimated the acuity-adjusted nurse-to-patient ratio (NPR) in a national sample of Italian NICUs and factors influencing it.

METHODS

Twelve monthly cross-sectional surveys were prospectively carried out in 63 NICUs. Number and acuity of infants, and number of nurses were recorded. Infants' acuity was assessed by Rogowki's 2013 and British Association for Perinatal Medicine 2001 classifications.

RESULTS

We collected 702 reports regarding 11 082 infants. Non-intensive infants represented about 75% of NICU residents. Very preterm infants (<1501 g birth weight or <30 weeks gestation) represented 10.8% of admissions, but 44% of all infants surveyed. Average acuity-adjusted NPR was 0.31 (interquartile range 0.28-0.38); NPR depended on case-mix (proportion of intensive infants), size of the unit (larger units had a lower NPR) and was higher during morning shifts (+18%). Clustering on hospitals, reflecting shared components within each hospital, explained 47% of the variability of NPR.

CONCLUSIONS

The majority of infants cared for in NICUs are not intensive. NPR is influenced by acuity of infants, size of units, shifts, but is largely due to other unobserved hospital-related organizational features.

Council of International Neonatal Nurses (COINN) Global Neonatal Provider Database Initiative (CGNPD): Results From an Implementation Focus Group

BACKGROUND

The neonatal nurses are the key component of the essential workforce necessary to address the healthcare needs of the infants globally. The paucity of the data regarding the availability and training of the neonatal workforce challenges the stakeholders at the regional, national, and global levels. The lack of these data makes strategic planning for initiatives especially in low-resourced countries difficult. Up-to-date data are critically needed to describe the role neonatal nurses play in global newborn health outcomes.

PURPOSE

The purpose of the COINN Global Neonatal Provider Database Initiative (CGNPD) was to develop a workforce database by developing survey questions, conducting a focus group to determine the key reasons such a database was needed and how best to implement it, and incorporating these comments into the workforce survey and launch. Pilot testing of the draft survey instrument was done. This article reports on the findings from the focus group and the development of the survey.

METHODS

A qualitative design using the focus group method was used. The focus group discussions were guided by semi-structured interview questions that had been developed prior to the focus group by neonatal experts. A convenience sample of 14 members from the international delegates and project advisory members who attended the COINN 2013 in Belfast, Northern Ireland, participated. These participants represented 10 countries. Thematic analysis was conducted using verbatim transcripts of the focus group data.

RESULTS

Four main themes emerged: (1) the invisibility of neonatal nurses, (2) benchmarking needs for quality and standards, (3) need for partnership to implement the database, and (4) setting priorities for variables needed for the most salient database.

IMPLICATIONS FOR PRACTICE

The questionnaire examined participants' perceptions of the significance of and the future utilization of the workforce database and elements that should be included in the survey.

IMPLICATIONS FOR RESEARCH

The global neonatal workforce database is needed to describe who the neonatal nurses are in each country, what they do, how they are trained, and where they work. The data from the focus group aided in the development of the workforce survey that has been pilot tested and provides critical information to guide COINN's global implementation of the database project.

The impact of hospital obstetric volume on maternal outcomes in term, non-low-birthweight pregnancies

OBJECTIVE

The impact of hospital obstetric volume specifically on maternal outcomes remains under studied. We examined the impact of hospital obstetric volume on maternal outcomes in low-risk women who delivered non-low-birthweight infants at term.

STUDY DESIGN

We conducted a retrospective cohort study of term singleton, non-low-birthweight live births from 2007-2008 in California. Deliveries were categorized by hospital obstetric volume categories and separately for nonrural hospitals (category 1: 50-1199 deliveries per year; category 2: 1200-2399; category 3: 2400-3599, and category 4: ≥3600) and rural hospitals (category R1: 50-599 births per year; category R2: 600-1699; category R3: ≥1700). Maternal outcomes were compared with the use of the chi-square test and multivariable logistic regression.

RESULTS

There were 736,643 births in 267 hospitals that met study criteria. After adjustment for confounders, there were higher rates of postpartum hemorrhage in the lowest-volume rural hospitals (category R1 adjusted odds ratio, 3.06; 95% confidence interval, 1.51-6.23). Rates of chorioamnionitis, endometritis, severe perineal lacerations, and wound infection did not differ between volume categories. Longer lengths of stay were observed after maternal complications (eg, chorioamnionitis) in the lowest-volume hospitals (16.9% prolonged length of stay in category 1 hospitals vs 10.5% in category 4 hospitals; adjusted odds ratio, 1.91; 95% confidence interval, 1.01-3.61).

CONCLUSION

After confounder adjustment, few maternal outcomes differed by hospital obstetric volume. However, elevated odds of postpartum hemorrhage in low-volume rural hospitals raises the possibility that maternal outcomes may differ by hospital volume and geography. Further research is needed on maternal outcomes in hospitals of different obstetric volumes.

Prevention of healthcare-associated infections in neonates: room for improvement

Infants in neonatal intensive care units (NICUs) are highly susceptible to infection due to the immaturity of their immune systems. Healthcare-associated infections (HCAIs) are associated with prolonged hospital stay, and represent a significant risk factor for neurological development problems and death. Improving HCAI control is a priority for NICUs. Many factors contribute to the occurrence of HCAIs in neonates such as poor hand hygiene, low nurse–infant ratios, environmental contamination and unnecessary use of antibiotics. Prevention is based on improving neonatal management, avoiding unnecessary use of central venous catheters, restricting use of antibiotics and H2 blockers, and introducing antifungal prophylaxis if necessary. Quality improvement interventions to reduce HCAIs in neonates seem to be the cornerstone of infection control.

Surge capacity logistics: care of the critically ill and injured during pandemics and disasters: CHEST consensus statement

BACKGROUND

Successful management of a pandemic or disaster requires implementation of preexisting plans to minimize loss of life and maintain control. Managing the expected surges in intensive care capacity requires strategic planning from a systems perspective and includes focused intensive care abilities and requirements as well as all individuals and organizations involved in hospital and regional planning. The suggestions in this article are important for all involved in a large-scale disaster or pandemic, including front-line clinicians, hospital administrators, and public health or government officials. Specifically, this article focuses on surge logistics-those elements that provide the capability to deliver mass critical care.

METHODS

The Surge Capacity topic panel developed 23 key questions focused on the following domains: systems issues; equipment, supplies, and pharmaceuticals; staffing; and informatics. Literature searches were conducted to identify studies upon which evidence-based recommendations could be made. The results were reviewed for relevance to the topic, and the articles were screened by two topic editors for placement within one of the surge domains noted previously. Most reports were small scale, were observational, or used flawed modeling; hence, the level of evidence on which to base recommendations was poor and did not permit the development of evidence-based recommendations. The Surge Capacity topic panel subsequently followed the American College of Chest Physicians (CHEST) Guidelines Oversight Committee's methodology to develop suggestion based on expert opinion using a modified Delphi process.

RESULTS

This article presents 22 suggestions pertaining to surge capacity mass critical care, including requirements for equipment, supplies, and pharmaceuticals; staff preparation and organization; methods of mitigating overwhelming patient loads; the role of deployable critical care services; and the use of transportation assets to support the surge response.

CONCLUSIONS

Critical care response to a disaster relies on careful planning for staff and resource augmentation and involves many agencies. Maximizing the use of regional resources, including staff, equipment, and supplies, extends critical care capabilities. Regional coalitions should be established to facilitate agreements, outline operational plans, and coordinate hospital efforts to achieve predetermined goals. Specialized physician oversight is necessary and if not available on site, may be provided through remote consultation. Triage by experienced providers, reverse triage, and service deescalation may be used to minimize ICU resource consumption. During a temporary loss of infrastructure or overwhelmed hospital resources, deployable critical care services should be considered.

Survey of tuberculosis hospitals in China: current status and challenges

BACKGROUND

Hospitals will play an increasingly important role in delivering TB services in China, however little is known in terms of the current landscape of the hospital system that delivers TB care.

METHODOLOGY/PRINCIPAL FINDINGS

In order to examine the status of TB hospitals we performed a study in which a total of 203 TB hospitals, with 30 beds or more, were enrolled from 31 provinces and Xinjiang Production and Construction Corps. Of the 203 hospitals, 93 (45.8%) were located in the eastern region of China, 84 (41.4%) in the central region, and 26 (12.8%) in the western region, while there were 34.6 million TB patients in western China, accounting for 34.6% of the TB burden nationwide. The total number of staff in these 203 hospitals was 83,011, of which 18,899 (22.8%) provided health services for TB patients, (physicians, nurses, lab technicians, etc). Although both the overall number of the health care workers and TB staff in the 203 hospitals increased from the year 1999 to 2009, the former increased by 52%, while the latter increased only by 34%, showing that the percentage of TB staff declined significantly (χ2 = 181.7, P<0.01). The total annual income of the 203 hospitals increased 5.5 fold from 1999 to 2009, while that from TB care increased 3.8 fold during the same period. TB care and control experienced a relatively slower development during this period as shown by the lower percentage of TB staff and the lesser increase in income from TB care in the hospitals.

CONCLUSIONS/SIGNIFICANCE

In conclusion, our findings demonstrated that hospital resources are scarcer in western China as compared with eastern China. In view of the current findings, policymakers are urged to address the uneven distribution of medical resources between the underdeveloped west and the more affluent eastern provinces.

Cerebrospinal fluid shunt placement in the pediatric population: a model of hospitalization cost

Object

There have been no large-scale analyses on cost drivers in CSF shunt surgery for the treatment of pediatric hydrocephalus. The objective of this study was to develop a cost model for hospitalization costs in pediatric CSF shunt surgery and to examine risk factors for increased costs.

Methods

Data were extracted from the Kids' Inpatient Database (KID) of the Healthcare Cost and Utilization Project. Children with initial CSF shunt placement in the 2009 KID were examined. Patient charge was converted to cost using a cost-to-charge ratio. The factors associated with costs of CSF shunt hospitalizations were examined, including patient demographics, hospital characteristics, and clinical data. The natural log transformation of cost per inpatient day (CoPID) was analyzed. Three multivariate linear regression models were used to characterize the cost. Variance inflation factor was used to identify multicollinearity for each model.

Results

A total of 2519 patients met the inclusion criteria and were included in study. Average cost and length of stay (LOS) for initial shunt placement were $49,317 ± $74,483 (US) and 18.2 ± 28.5 days, respectively. Cost per inpatient day was $4249 ± $2837 (median $3397, range $80–$22,263). The average number of registered nurse (RN) full-time equivalents (FTEs) per 1000 adjusted inpatient days was 5.8 (range 1.6–10.8). The final model had the highest adjusted coefficient of determination (R2 = 0.32) and was determined to be the best among 3 models. The final model showed that child age, hydrocephalus etiology, weekend admission, number of chronic diseases, hospital type, number of RN FTEs per 1000 adjusted inpatient days, number of procedures, race, insurance type, income level, and hospital regions were associated with CoPID.

Conclusions

A patient's socioeconomic status, such as race, income level, and insurance, in addition to hospitalrelated factors such as number of hospital RN FTEs, hospital type, and US region, could affect the costs of initial CSF shunt placement, in addition to clinical factors such as hydrocephalus origin and LOS. To create a cost model of initial CSF shunt placement in the pediatric population, consideration of such nonclinical factors may be warranted.

Educating neonatal nurses in Brazil: a before-and-after study with interrupted time series analysis

BACKGROUND

Preterm birth contributes significantly to infant mortality and morbidity, including blindness from retinopathy of prematurity (ROP). Access to intensive neonatal care is expanding in many countries, but care is not always optimal, one factor being that nursing is often by inadequately trained nurse assistants.

OBJECTIVE

The aim of this study was to evaluate whether an educational package for nurses improves a range of outcomes including survival rates and severe ROP in 5 neonatal units in Rio de Janeiro, Brazil.

METHODS

The study design included an uncontrolled before-and-after study in 5 units, with interrupted time series analysis. Participatory approaches were used to develop a self-administered educational package for control of pain, oxygenation, infection, nutrition, and temperature and to improve supportive care ('POINTS of Care'). Educational materials and DVD clips were developed and training skills of nurse tutors were enhanced. There were two 1-year periods of data collection before and after a 3-month period of self-administration of the education package.

RESULTS

Overall, 74% of 401 nurses and nurse assistants were trained. A total of 679 and 563 infants were included in the pre- and post-training periods, respectively. Despite improvement in knowledge and nursing practices, such as the delivery and monitoring of oxygen, there was no change in survival (pre-training 80%, post-training 78.2%), severe ROP (1.6 vs. 2.8%), sepsis (11.3 vs. 12.3 cases per 1,000 infant days) or other outcomes. Outcomes worsened over the pre-intervention period but the change to an improvement after the intervention was not statistically significant. During the study period many trained staff left the units, but few were replaced.

CONCLUSIONS

Future studies need to focus on barriers to implementation, team building, leadership and governance, as well as the acquisition of knowledge and skills.