Demonstrating the relationships of length of stay, cost and clinical outcomes in a simulated NICU

Continuous glucose monitoring vs. self-monitoring in pregnant individuals with type 1 diabetes: an economic analysis

BACKGROUND

In the United States, approximately 1% of pregnancies are complicated by pregestational diabetes. Individuals with type 1 diabetes have an increased risk of adverse maternal and neonatal outcomes. While continuous glucose monitoring has demonstrated benefits for patients with type 1 diabetes, its cost is higher than traditional intermittent fingerstick monitoring, particularly if used only during pregnancy.

OBJECTIVE

To develop an economic analysis model to compare in silico the cost of continuous glucose monitoring and self-monitoring of blood glucose in a cohort of pregnant individuals with type 1 diabetes mellitus.

STUDY DESIGN

We developed an economic analysis model to compare two glucose monitoring strategies in pregnant individuals with type 1 diabetes: continuous glucose monitoring and self-monitoring. The model considered hypertensive disorders of pregnancy, large for gestational age, cesarean delivery, neonatal intensive care unit (NICU) admission, and neonatal hypoglycemia. The primary outcome was the total cost per strategy in 2022 USD from a health system perspective, with self-monitoring as the reference group. Probabilities, relative risks, and costs were extracted from the literature, and the costs were adjusted to 2022 US dollars. Sensitivity analyses were conducted by varying parameters based on the probability, relative risk, and cost distributions. The robustness of the results was tested through 1000 Monte Carlo simulations.

RESULTS

In the base-case analysis, the cost of pregnancy using continuous glucose monitoring was $26,837 compared to $29,039 for self-monitoring, resulting in a cost reduction of $2,202 per individual. The parameters with the greatest effect on the incremental cost included the relative risk of NICU admission, cost of NICU admission, continuous glucose monitoring costs, and usual care costs. Monte Carlo simulations indicated that continuous glucose monitoring was the optimal strategy 98.7% of the time. One-way sensitivity analysis showed that continuous glucose monitoring was more economical if the relative risk of NICU admission with continuous glucose monitoring vs. self-monitoring was below 1.15.

CONCLUSION

Compared to self-monitoring, continuous glucose monitoring is an economical strategy for pregnant individuals with type 1 diabetes mellitus.

Morbidity and trends in length of hospitalisation of very and extremely preterm infants born between 2008 and 2021 in the Netherlands: a cohort study

OBJECTIVES

This study investigated changes in the length of stay (LoS) at a level III/IV neonatal intensive care unit (NICU) and level II neonatology departments until discharge home for very preterm infants and identified factors influencing these trends.

DESIGN

Retrospective cohort study based on data recorded in the Netherlands Perinatal Registry between 2008 and 2021.

SETTING

A single level III/IV NICU and multiple level II neonatology departments in the Netherlands.

PARTICIPANTS

NICU-admitted infants (n=2646) with a gestational age (GA) <32 weeks.

MAIN OUTCOME MEASURES

LoS at the NICU and overall LoS until discharge home.

RESULTS

The results showed an increase of 5.1 days (95% CI 2.2 to 8, p<0.001) in overall LoS in period 3 after accounting for confounding variables. This increase was primarily driven by extended LoS at level II hospitals, while LoS at the NICU remained stable. The study also indicated a strong association between severe complications of preterm birth and LoS. Treatment of infants with a lower GA and more (severe) complications (such as severe retinopathy of prematurity) during the more recent periods may have increased LoS.

CONCLUSION

The findings of this study highlight the increasing overall LoS for very preterm infants. LoS of very preterm infants is presumably influenced by the occurrence of complications of preterm birth, which are more frequent in infants at a lower gestational age.

Child Health and the Neonatal-Perinatal Medicine Workforce: 2020-2040

In 2022, 3.7 million children were born in the United States, of whom ∼600 000 received care from a neonatologist. The dramatic growth of the neonatal-perinatal medicine (NPM) workforce from 375 in 1975 to 5250 in 2022 has paralleled exploding clinical demand. As newborn medicine continues to push the limits of gestational viability and medical complexity, the NPM workforce must advance in numbers, clinical capability, scientific discovery, and leadership. This article, as part of an American Board of Pediatrics Foundation-sponsored supplement that is designed to project the future of the pediatric subspecialty workforce, features a discussion of the NPM workforce's history and current status, factors that have shaped its current profile, and some plausible scenarios of the workforce's needs and configuration in the future. In the article, we use an analytical model that forecasts the growth trajectory of the neonatologist workforce from 2020 through 2040. The model uses recent data on the number of neonatologists and clinical work equivalents per 100 000 children and projects future workforce supply under several theoretical scenarios created by modifying key baseline parameters. The predictions of this model confirm the need for a greater sustainable clinical capacity of the NPM workforce. Several future trends indicate that there may be geographic shortages of neonatologists, similar to expected shortages in other pediatric subspecialties. We do not address what an appropriate target for workforce size should be with the model or this article because the current and projected geographic variability in the NPM workforce and risk-appropriate care suggest that a uniform answer is unlikely.

Place-Based Strategies Addressing Neighborhood Environments to Improve Perinatal and Preterm Infant Outcomes

Preterm birth (defined as birth <37 weeks of gestation) is a significant health concern globally, with lasting implications for individuals, families, and society. In the United States, high preterm birth rates among Black and low-income populations likely result from differences in environmental exposures. Structural racism and economic disadvantage have led to unequal distribution of polluting industrial sites and roadways across society as well as differential access to health-promoting resources which contribute to preterm birth risk. Once born, preterm infants remain at risk for numerous environmentally responsive adverse health outcomes that affect growth and development throughout childhood and adulthood. In this commentary, we describe associations of neighborhood environments with pregnancy and preterm infant health outcomes and propose strategies to address harmful exposures that affect families across the lifespan.

Decision and economic analysis of hostile abortion laws compared with supportive abortion laws

BACKGROUND

On June 24, 2022, the US Supreme Court overturned Roe v Wade in Dobbs v Jackson Women's Health Organization. Therefore, several states banned abortion, and other states are considering more hostile abortion laws.

OBJECTIVE

This study aimed to assess the incidence of adverse maternal and neonatal outcomes in the hypothetical cohort where all states have hostile abortion laws compared with the pre-Dobbs v Jackson cohort (supportive abortion laws cohort) and examine the cost-effectiveness of these policies.

STUDY DESIGN

This study developed a decision and economic analysis model comparing the hostile abortion laws cohort with the supportive abortion laws cohort in a sample of 5.3 million pregnancies. Cost (inflated to 2022 US dollars) estimates were from a healthcare provider's perspective, including immediate and long-term costs. The time horizon was set to a lifetime. Probabilities, costs, and utilities were derived from the literature. The cost-effectiveness threshold was set to be at $100,000 per quality-adjusted life year. Probabilistic sensitivity analyses using the Monte Carlo simulation with 10,000 simulations were performed to assess the robustness of our results. The primary outcomes included maternal mortality and an incremental cost-effectiveness ratio. The secondary outcomes included hysterectomy, cesarean delivery, hospital readmission, neonatal intensive care unit admission, neonatal mortality, profound neurodevelopmental disability, and incremental cost and effectiveness.

RESULTS

In the base case analysis, the hostile abortion laws cohort had 12,911 more maternal mortalities, 7518 more hysterectomies, 234,376 more cesarean deliveries, 102,712 more hospital readmissions, 83,911 more neonatal intensive care unit admissions, 3311 more neonatal mortalities, and 904 more cases of profound neurodevelopmental disability than the supportive abortion laws cohort. The hostile abortion laws cohort was associated with more cost ($109.8 billion [hostile abortion laws cohort] vs $75.6 billion [supportive abortion laws cohort]) and 120,749,900 fewer quality-adjusted life years with an incremental cost-effectiveness ratio of negative $140,687.60 than the supportive abortion laws cohort. Probabilistic sensitivity analyses suggested that the chance of the supportive abortion laws cohort being the preferred strategy was more than 95%.

CONCLUSION

When states consider enacting hostile abortion laws, legislators should consider an increase in the incidence of adverse maternal and neonatal outcomes.

Initial emergency department vital signs may predict PICU admission in pediatric patients presenting with asthma exacerbation

OBJECTIVE

Severe asthma exacerbations account for a large share of asthma morbidity, mortality, and costs. Here, we aim to identify early predictive factors associated with pediatric intensive care unit (PICU) admission.

METHODS

We performed a retrospective observational study of 5,185 emergency department (ED) encounters at a large children's hospital, including 86 (1.7%) resulting in PICU admission between 10/1/2015 and 8/7/2018 with ICD9/ICD10 codes for "asthma," "bronchospasm," or "wheezing." Vital signs and demographic information were obtained from electronic health record data and analyzed for each encounter. Predictive factors were identified using adjusted regression models, and our primary outcome was PICU admission.

RESULTS

Higher mean heart rates (HRs) and respiratory rates (RRs), and lower SpO2 within the first hour of ED presentation were independently associated with PICU admission. Odds of PICU admission increased 70% for each 10 beats/min higher HR, 125% for each 10 breaths/min higher RR, and 34% for each 5% lower SpO2. A binary predictive index using 1-h vitals yielded OR 13.4 (95% CI 8.1-22.1) for PICU admission, area under receiver operator characteristic (AUROC) curve 0.84 and overall accuracy of 80.1%. Results were largely unchanged (AUROC 0.84-0.88) after adjusting for surrogates of asthma severity and initial ED management. In combination with a secondary standardized clinical asthma distress score, positive predictive value increased by sevenfold (6.1%-46%).

CONCLUSIONS

A predictive index using HR, RR, and SpO2 within the first hour of ED presentation accurately predicted PICU admission in this cohort. Automated vital signs trend analysis may help identify vulnerable patients quickly upon presentation.

The price of neonatal intensive care outcomes - in-hospital costs of morbidities related to preterm birth

BACKGROUND

Neonatal care for preterm babies is prolonged and expensive. Our aim was to analyze and report costs associated with common preterm diagnoses during NICU stay.

METHODS

We analyzed data from the Ontario healthcare data service. Diagnoses were collated by discharge ICD codes, and categorized by gestational age. We calculated typical non parametric statistics, and for each diagnosis we calculated median shifts and generalized linear mode.

RESULTS

We included data on 12,660 infants between 23 and 30 weeks gestation in 2005-2017. Calculated cost increment with diagnosis were: Intestinal obstruction: $94,738.08 (95%CI: $70,093.3, $117,294.2), Ventriculoperitoneal shunt: $86,456.60 (95%CI: $60,773.7, $111,552.2), Chronic Lung Disease $77,497.70 (95%CI: $74,937.2, $80,012.8), Intestinal perforation $57,997.15 (95%CI:$45,324.7, $70,652.6), Retinopathy of Prematurity: $55,761.80 (95%CI: $53,916.2, $57,620.1), Patent Ductus Arteriosus $53,453.70 (95%CI: $51,206.9, $55692.7, Post-haemorrhagic ventriculomegaly $41,822.50 (95%CI: $34,590.4, $48,872.4), Necrotizing Enterocolitis $39,785 (95%CI: $35,728.9, $43,879), Meningitis $38,871.85 (95%CI: $25,272.7, $52,224.4), Late onset sepsis $32,954.20 (95%CI: $30,403.7, 35.515), Feeding difficulties $24,820.90 (95%CI: $22,553.3, $27,064.7), Pneumonia $23,781.70 (95%CI: $18,623.8, $28,881.6), Grade >2 Intraventricular Haemorrhage $14,777.38 (95%CI: $9,821.7, $20,085.2). Adjusted generalized linear model of diagnoses as coefficients for cost confirmed significance and robustness of the model.

CONCLUSION

Cost of care for preterm infant is expensive, and significantly increases with prematurity complication. Interventions to reduce those complications may enable resource allocation and better understanding of the needs of the neonatal health services.

Associação entre peso ao nascer, idade gestacional e diagnósticos secundários na permanência hospitalar de recém-nascidos prematuros

Objetivo: verificar a associação entre peso ao nascer, idade gestacional e diagnósticos médicos secundários no tempo de permanência hospitalar de recém-nascidos prematuros. Métodos: estudo transversal, com 1.329 prontuários de recém-nascidos no período de julho de 2012 a setembro de 2015, em dois hospitais de Belo Horizonte, que utilizam o sistema Diagnosis Related Groups Brasil. Para determinar um ponto de corte para o peso ao nascer e a idade gestacional no nascimento que melhor determinasse o tempo de internação foi utilizada a curva Receive Operator Characteristic. Posteriormente, utilizou-se o teste de Análise de Variância e teste de Duncan para a comparação entre a média de tempo de permanência hospitalar. Resultados: a prematuridade sem problemas maiores (DRG792) foi a categoria mais prevalente (43,12%). O maior tempo médio de internação foi de 34,9 dias, identificado entre os recém-nascidos prematuros ou com Síndrome da angústia respiratória (DRG 790). A combinação de menor peso ao nascer e menor IG ao nascimento apresentaram o maior risco de permanência hospitalar, aumentada quando comparados ao demais perfis formados para esse DRG. Conclusão: os achados poderão direcionar a assistência em relação à mobilização de recursos físicos, humanos e de bens de consumo, além da análise crítica de condições que influenciam os desfechos clínicos. A possibilidade da otimização do uso desses recursos hospitalares aliada à melhoria da qualidade dos atendimentos e da segurança dos pacientes está associada a uma minimização do tempo de permanência hospitalar e da carga de morbidade e mortalidade neonatal.

Predicting in-hospital length of stay for very-low-birth-weight preterm infants using machine learning techniques

BACKGROUND/PURPOSE

The in-hospital length of stay (LOS) among very-low-birth-weight (VLBW, BW < 1500 g) infants is an index for care quality and affects medical resource allocation. We aimed to analyze the LOS among VLBW infants in Taiwan, and to develop and compare the performance of different LOS prediction models using machine learning (ML) techniques.

METHODS

This retrospective study illustrated LOS data from VLBW infants born between 2016 and 2018 registered in the Taiwan Neonatal Network. Among infants discharged alive, continuous variables (LOS or postmenstrual age, PMA) and categorical variables (late and non-late discharge group) were used as outcome variables to build prediction models. We used 21 early neonatal variables and six algorithms. The performance was compared using the coefficient of determination (R²) for continuous variables and area under the curve (AUC) for categorical variables.

RESULTS

A total of 3519 VLBW infants were included to illustrate the profile of LOS. We found 59% of mortalities occurred within the first 7 days after birth. The median of LOS among surviving and deceased infants was 62 days and 5 days. For the ML prediction models, 2940 infants were enrolled. Prediction of LOS or PMA had R² values less than 0.6. Among the prediction models for prolonged LOS, the logistic regression (ROC: 0.724) and random forest (ROC: 0.712) approach had better performance.

CONCLUSION

We provide a benchmark of LOS among VLBW infants in each gestational age group in Taiwan. ML technique can improve the accuracy of the prediction model of prolonged LOS of VLBW.

Cost of neonatal intensive care for extremely preterm infants in Canada

BACKGROUND

Neonatal intensive care is expensive and prolonged. Extremely preterm infants are routinely supported. The costs for this practice at the age of borderline viability are of interest to clinicians and policymakers.

METHODS

We analyzed data from the Canadian national administrative database on total cost and length of hospital care from a public payor perspective for 23-28-week premature infants from 2011 to 2015. We also compared total and daily costs for 23-25-week newborns. Each comparison evaluated the total cohort and infants who lived more than 3 days. We used non-parametric tests, correlation tests, and generalized linear models for cost difference analysis, adjusting for survival, length of stay, and year.

RESULTS

We analyzed 6,932 infants' cost records. For all infants, median length of hospital stay was 41 days (IQR, 1-77 days). For infants who survived the first 3 days, median length of stay was 61 days (IQR, 34-90 days). The median total cost was $66,669 (IQR, $4,920-$125,550). For infants who survived the first 3 days, median total cost was $91,137 (IQR, $56,596-$188,757). For infants who survived the first 3 days, median total costs were $147,835 (IQR, $44,711-$233,847) for 23-week infants, $154,736 (IQR, $61,160-$248,290) for 24-week infants, and $130,317 (IQR, $79,737-$229,058) for 25-week infants. These amounts did not differ (P>0.7).

CONCLUSIONS

Total and daily costs of neonatal intensive care are high. Total cost was not different between surviving 23-25-week infants. These findings highlight the need for a funding strategy for the routine support of these fragile infants.

Regional variation in cost of neonatal intensive care for extremely preterm infants

Background

Regional variation in cost of neonatal intensive care for extremely preterm infant is not documented. We sought to evaluate regional variation that may lead to benchmarking and cost saving.

Methods

An analysis of a Canadian national costing data from the payor perspective. We included all liveborn 23–28-week preterm infants in 2011–2015. We calculated variation in costs between provinces using non-parametric tests and a generalized linear model to evaluate cost variation after adjustment for gestational age, survival, and length of stay.

Results

We analysed 6932 infant records. The median total cost for all infants was $66,668 (Inter-Quartile Range (IQR): $4920–$125,551). Medians for the regions varied more than two-fold and ranged from $48,144 in Ontario to $122,526 in Saskatchewan. Median cost for infants who survived the first 3 days of life was $91,000 (IQR: $56,500–$188,757). Median daily cost for all infants was $1940 (IQR: $1518–$2619). Regional variation was significant after adjusting for survival more than 3 days, length of stay, gestational age, and year (pseudo-R² = 0.9, p < 0.01). Applying the model on the second lowest-cost region to the rest of the regions resulted in a total savings of $71,768,361(95%CI: $65,527,634–$81,129,451) over the 5-year period ($14,353,672 annually), or over 11% savings for the total program cost of $643,837,303 over the study period.

Conclusion

Costs of neonatal intensive care are high. There is large regional variation that persists after adjustment for length of stay and survival. Our results can be used for benchmarking and as a target for focused cost optimization, savings, and investment in healthcare.

Vancomycin Is Protective in a Neonatal Mouse Model of Staphylococcus epidermidis-Potentiated Hypoxic-Ischemic Brain Injury

Infection is correlated with increased risk of neurodevelopmental sequelae in preterm infants. In modeling neonatal brain injury, Toll-like receptor agonists have often been used to mimic infections and induce inflammation. Using the most common cause of bacteremia in preterm infants, Staphylococcus epidermidis, we present a more clinically relevant neonatal mouse model that addresses the combined effects of bacterial infection together with subsequent hypoxic-ischemic brain insult. Currently, there is no neuroprotective treatment for the preterm population. Hence, we tested the neuroprotective effects of vancomycin with and without adjunct therapy using the anti-inflammatory agent pentoxifylline. We characterized the effects of S. epidermidis infection on the inflammatory response in the periphery and the brain, as well as the physiological changes in the central nervous system that might affect neurodevelopmental outcomes. Intraperitoneal injection of postnatal day 4 mice with a live clinical isolate of S. epidermidis led to bacteremia and induction of proinflammatory cytokines in the blood, as well as transient elevations of neutrophil and monocyte chemotactic cytokines and caspase 3 activity in the brain. When hypoxia-ischemia was induced postinfection, more severe brain damage was observed in infected animals than in saline-injected controls. This infection-induced inflammation and potentiated brain injury was inoculum dose dependent and was alleviated by the antibiotic vancomycin. Pentoxifylline did not provide any additional neuroprotective effect. Thus, we show for the first time that live S. epidermidis potentiates hypoxic-ischemic preterm brain injury and that peripheral inhibition of inflammation with antibiotics, such as vancomycin, reduces the extent of brain injury.

Central line associated blood stream infections in gastroschisis patients: A nationwide database analysis of risks, outcomes, and disparities

PURPOSE

The aim of this study was to determine the risk of central line associated blood-stream infections (CLABSI) in neonatal gastroschisis patients, risk factors, outcomes, and financial implications.

METHODS

The 2016 Healthcare Cost and Utilization Project (HCUP)'s kid's inpatient database (KID), a national database of pediatric inpatient admissions across the United States, was used to obtain a large sample of gastroschisis admissions. Incidence of CLABSI in the gastroschisis patient population was compared to the incidence of CLABSI in the database. To further study the factors influencing CLABSI in gastroschisis, demographic and clinical features of patients were analyzed. Categorical variables were analyzed using Fisher's exact test or Pearson's chi-squared test. Odds ratios (OR) with 95% confidence intervals (CI) for variables found to have significance (p < 0.05) were calculated.

FINDINGS

Incidence of CLABSI in this database for pediatric inpatients was 4449 out of 298,862 central line insertions [1.48%] and was 81 out of 2032 [3.9%] (OR 2.83, 95% CI 2.26-3.54, p < 0.001) in the gastroschisis cohort. African American neonates had a significantly higher risk of CLABSI with gastroschisis. Prematurity and low birth-weight in gastroschisis were protective from CLABSI, along with patients from suburban areas or admitted in the Southern USA. Average costs were greater in gastroschisis patients with CLABSI, increasing from $281,779 to $421,970 (p = 0.008). The average length of stay increased from 31 days to 38 days with a CLABSI (p < 0.001).

CONCLUSIONS

In gastroschisis patients, CLABSI incidence is high and adds great morbidity and expense. For uncertain reasons, premature and low birth weight babies appear to be protected.

LEVEL OF EVIDENCE

Level III.

Interaction patterns of trauma providers are associated with length of stay

Background

Trauma-related hospitalizations drive a high percentage of health care expenditure and inpatient resource consumption, which is directly related to length of stay (LOS). Robust and reliable interactions among health care employees can reduce LOS. However, there is little known about whether certain patterns of interactions exist and how they relate to LOS and its variability. The objective of this study is to learn interaction patterns and quantify the relationship to LOS within a mature trauma system and long-standing electronic medical record (EMR).

Methods

We adapted a spectral co-clustering methodology to infer the interaction patterns of health care employees based on the EMR of 5588 hospitalized adult trauma survivors. The relationship between interaction patterns and LOS was assessed via a negative binomial regression model. We further assessed the influence of potential confounders by age, number of health care encounters to date, number of access action types care providers committed to patient EMRs, month of admission, phenome-wide association study codes, procedure codes, and insurance status.

Results

Three types of interaction patterns were discovered. The first pattern exhibited the most collaboration between employees and was associated with the shortest LOS. Compared to this pattern, LOS for the second and third patterns was 0.61 days (P = 0.014) and 0.43 days (P = 0.037) longer, respectively. Although the 3 interaction patterns dealt with different numbers of patients in each admission month, our results suggest that care was provided for similar patients.

Discussion

The results of this study indicate there is an association between LOS and the extent to which health care employees interact in the care of an injured patient. The findings further suggest that there is merit in ascertaining the content of these interactions and the factors that induce these differences in interaction patterns within a trauma system.

Cost of preterm birth during initial hospitalization: A care provider's perspective

Preterm birth incidence has risen globally and remains a major cause of neonatal mortality despite improved survival. Demand and cost of initial hospitalization has also increased. This study assessed the cost of preterm birth during initial hospitalization from care provider perspective in neonatal intensive care units (NICU) of two hospitals in the state of Kedah, Malaysia. It utilized universal sampling and prospectively followed up preterm infants till discharge. Care provider cost was assessed using mixed method of top down approach and activity based costing. A total of 112 preterm infants were recruited from intensive care (93 infants) and minimal care (19 infants) units. Majority were from the moderate (23%) and late (36%) preterm groups followed by very preterm (32%) and extreme preterm (9%). Median cost per infant increased with level of care and degree of prematurity. Cost was dominated by overhead (fixed) costs for general (hospital), intermediate (clinical support services) and final (NICU) cost centers where it constituted at least three quarters of admission cost per infant while the remainder was consumables (variable) cost. Breakdown of overhead cost showed NICU specific overhead contributing at least two thirds of admission cost per infant. Personnel salary made up three quarters of NICU specific overhead. Laboratory investigation was the cost driver for consumables. Gender, birth weight and length of stay were significant factors and cost prediction was developed with these variables. This study demonstrated the inverse relation between resource utilization, cost and prematurity and identified personnel salary as the cost driver. Cost estimates and prediction provide in-depth understanding of provider cost and are applicable for further economic evaluations. Since gender is non-modifiable and reducing LOS alone is not effective, birth weight as a cost predictive factor in this study can be addressed through measures to prevent or delay preterm birth.

Duration and Time Trends in Hospital Stay for Very Preterm Infants Differ Across European Regions

OBJECTIVES

To compare duration and changes over time in length of hospital stay for very preterm and extremely preterm infants in 10 European regions.

DESIGN

Two area-based cohort studies from the same regions in 2003 and 2011/2012.

SETTING

Ten regions from nine European countries.

PATIENTS

Infants born between 22 + 0 and 31 + 6 weeks of gestational age and surviving to discharge (Models of Organising Access to Intensive Care for Very Preterm Births cohort in 2003, n = 4,011 and Effective Perinatal Intensive Care in Europe cohort in 2011/2012, n = 4,336).

INTERVENTIONS

Observational study, no intervention.

MEASUREMENTS AND MAIN RESULTS

Maternal and infant characteristics were abstracted from medical records using a common protocol and length of stay until discharge was adjusted for case-mix using negative binomial regression. Mean length of stay was 63.6 days in 2003 and varied from 52.4 to 76.5 days across regions. In 2011/2012, mean length of stay was 63.1 days, with a narrower regional range (54.0-70.1). Low gestational age, small for gestational age, low 5-minute Apgar score, surfactant administration, any surgery, and severe neonatal morbidities increased length of stay. Infant characteristics explained some of the differences between regions and over time, but large variations remained after adjustment. In 2011/2012, mean adjusted length of stay ranged from less than 54 days in the Northern region of the United Kingdom and Wielkopolska, Poland to over 67 days in the Ile-de-France region of France and the Eastern region of the Netherlands. No systematic decrease in very preterm length of stay was observed over time after adjustment for patient case-mix.

CONCLUSIONS

A better understanding of the discharge criteria and care practices that contribute to the wide differences in very preterm length of stay across European regions could inform policies to optimize discharge decisions in terms of infant outcomes and health system costs.

Comparison of Collaborative Versus Single-Site Quality Improvement to Reduce NICU Length of Stay

BACKGROUND

There is unexplained variation in length of stay (LOS) across NICUs, suggesting that there may be practices that can optimize LOS.

METHODS

Three groups of NICUs in the California Perinatal Quality Care Collaborative were followed: (1) collaborative centers participating in an 18-month collaborative quality improvement project to optimize LOS for preterm infants; (2) individual centers aiming to optimize LOS; and (3) nonparticipants. Our aim in the collaborative project was to decrease postmenstrual age (PMA) at discharge for infants born between 27 + 0 and <32 weeks' gestational age by 3 days. A secondary outcome was "early discharge," the proportion of infants discharged from the hospital before 36 + 5 weeks' PMA. The balancing measure of readmissions within 72 hours was tracked for the collaborative group.

RESULTS

From 2013 to 2015, 8917 infants were cared for in 20 collaborative NICUs, 19 individual project NICUs, and 71 nonparticipants. In the collaborative group, the PMA at discharge decreased from 37.8 to 37.5 weeks (P = .02), and early discharge increased from 31.6% to 41.9% (P = .006). The individual project group had no significant change. Nonparticipants had a decrease in PMA from 37.5 to 37.3 weeks (P = .01) but no significant change in early discharge (39.8% to 43.6%; P = .24). There was no significant change in readmissions over time in the collaborative group.

CONCLUSIONS

A structured collaborative project that was focused on optimizing LOS led to a 3-day decrease in LOS and was more effective than individualized quality improvement efforts.

The effects of air pollution on length of hospital stay for adult patients with asthma

Length of hospital stay (LOS) of asthma can be a reflection of the disease burden faced by patients, and it is also sensitive to air pollution. This study aims at estimating and validating the effects of air pollution and readmission on the LOS for those who have asthma, considering their readmission history, minimum temperature, and threshold effects of air pollutants. In addition, sex, age, and season were also constructed for stratification to achieve more precise and specific results. The results show that no significant effects of PM2.5 and NO2 on LOS were observed in any of the patients, but there were significant effects of PM2.5 and NO2 on LOS when a stratifying subgroup analysis was performed. The effect of PM10 on LOS was found to be lower than that of PM2.5 and higher than that of NO2 . SO2 did not have a significant effect on LOS for patients with asthma in our study. Our study confirmed that the adverse effects of air pollutants (such as PM10 ) on LOS for patients with asthma existed; in addition, these effects vary for different stratifications. We measured the effects of air pollutants on the LOS for patients with asthma, and this study offers policy makers quantitative evidence that can support relevant policies for health care resource management and ambient air pollutants control.