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Objective: To investigate the distribution of known factors for preterm birth (PTB) by severity of maternal underweight; to investigate the risk-adjusted relation between severity of underweight and PTB, and to assess whether the relation differed by gestational age.Design: Retrospective cohort study.Setting: State of California, USA.Methods: Maternally linked hospital and birth certificate records of 950 356 California deliveries in 2007-2010 were analysed. Singleton live births of women whose prepregnancy body mass index (BMI) was underweight (<18.5 kg/m2 ) or normal (18.50-24.99 kg/m2 ) were analysed. Underweight BMI was further categorised as: severe (<16.00), moderate (16.00-16.99) or mild (17.00-18.49). PTB was grouped as 22-27, 28-31, 32-36 or <37 weeks (compared with 37-41 weeks). Adjusted multivariable Poisson regression modeling was used to estimate relative risk for PTB.Main Outcome Measures: Risk of PTB.Results: About 72 686 (7.6%) women were underweight. Increasing severity of underweight was associated with increasing percent PTB: 7.8% (n = 4421) in mild, 9.0% (n = 1001) in moderate and 10.2% (475) in severe underweight. The adjusted relative risk of PTB also significantly increased: adjusted relative risk (aRR) = 1.22 (95% CI 1.19-1.26) in mild, aRR = 1.41 (95% CI 1.32-1.50) in moderate and aRR = 1.61 (95% CI 1.47-1.76) in severe underweight. These findings were similar in spontaneous PTB, medically indicated PTB, and the gestational age groupings.Conclusion: Increasing severity of maternal prepregnancy underweight BMI was associated with increasing risk-adjusted PTB at <37 weeks. This increasing risk was of similar magnitude in spontaneous and medically indicated births and in preterm delivery at 28-31 and at 32-36 weeks of gestation.Tweetable Abstract: Increasing severity of maternal underweight BMI was associated with increasing risk of preterm birth. [ABSTRACT FROM AUTHOR]

Background: In contrast to other high-resource countries, the United States has experienced increases in the rates of severe maternal morbidity. In addition, the United States has pronounced racial and ethnic disparities in severe maternal morbidity, especially for non-Hispanic Black people, who have twice the rate as non-Hispanic White people., Objective: This study aimed to examine whether the racial and ethnic disparities in severe maternal morbidity extended beyond the rates of these complications to include disparities in maternal costs and lengths of stay, which could indicate differences in the case severity., Study Design: This study used California's linkage of birth certificates to inpatient maternal and infant discharge data for 2009 to 2011. Of the 1.5 million linked records, 250,000 were excluded because of incomplete data, for a final sample of 1,262,862. Cost-to-charge ratios were used to estimate costs from charges (including readmissions) after adjusting for inflation to December 2017. Mean diagnosis-related group-specific reimbursement was used to estimate physician payments. We used the Centers for Disease Control and Prevention definition of severe maternal morbidity, including readmissions up to 42 days after delivery. Adjusted Poisson regression models estimated the differential risk of severe maternal morbidity for each racial or ethnic group, compared with the non-Hispanic White group. Generalized linear models estimated the associations of race and ethnicity with costs and length of stay., Results: Asian or Pacific Islander, Non-Hispanic Black, Hispanic, and other race or ethnicity patients all had higher rates of severe maternal morbidity than non-Hispanic White patients. The largest disparity was between non-Hispanic White and non-Hispanic Black patients, with unadjusted overall rates of severe maternal morbidity of 1.34% and 2.62%, respectively (adjusted risk ratio, 1.61; P<.001). Among patients with severe maternal morbidity, the adjusted regression estimates showed that non-Hispanic Black patients had 23% (P<.001) higher costs (marginal effect of $5023) and 24% (P<.001) longer hospital stays (marginal effect of 1.4 days) than non-Hispanic White patients. These effects changed when cases, such as cases where a blood transfusion was the only indication of severe maternal morbidity, were excluded, with 29% higher costs (P<.001) and 15% longer length of stay (P<.001). For other racial and ethnic groups, the increases in costs and length of stay were smaller than those observed for non-Hispanic Black patients, and many were not significantly different from non-Hispanic White patients. Hispanic patients had higher rates of severe maternal morbidity than non-Hispanic White patients; however, Hispanic patients had significantly lower costs and length of stay than non-Hispanic White patients., Conclusion: There were racial and ethnic differences in the costs and length of stay among patients with severe maternal morbidity across the groupings that we examined. The differences were especially large for non-Hispanic Black patients compared with non-Hispanic White patients. Non-Hispanic Black patients experienced twice the rate of severe maternal morbidity; in addition, the higher relative costs and longer lengths of stay for non-Hispanic Black patients with severe maternal morbidity support greater case severity in that population. These findings suggest that efforts to address racial and ethnic inequities in maternal health need to consider differences in case severity in addition to the differences in the rates of severe maternal morbidity and that these differences in case severity merit additional investigation., (Published by Elsevier Inc.)

Objectives: To examine the characteristics of safety net (sn) and non-sn neonatal intensive care units (NICUs) in California and evaluate whether the site of care is associated with clinical outcomes., Study Design: This population-based retrospective cohort study of 34 snNICUs and 104 non-snNICUs included 22 081 infants born between 2014 and 2018 with a birth weight of 401-1500 g or gestational age of 22-29 weeks. Quality of care as measured by the Baby-MONITOR score and rates of survival without major morbidity were compared between snNICUs and non-snNICUs., Results: Black and Hispanic infants were cared for disproportionately in snNICUs, where care and outcomes varied widely. We found no significant differences in Baby-Measure Of Neonatal InTensive care Outcomes Research (MONITOR) scores (z-score [SD]: snNICUs, -0.31 [1.3]; non-snNICUs, 0.03 [1.1]; P = .1). Among individual components, infants in snNICUs exhibited lower rates of human milk nutrition at discharge (-0.64 [1.0] vs 0.27 [0.9]), lower rates of no health care-associated infection (-0.27 [1.1] vs 0.14 [0.9]), and higher rates of no hypothermia on admission (0.39 [0.7] vs -0.25 [1.1]). We found small but significant differences in survival without major morbidity (adjusted rate, 65.9% [95% CI, 63.9%-67.9%] for snNICUs vs 68.3% [95% CI, 67.0%-69.6%] for non-snNICUs; P = .02) and in some of its components; snNICUs had higher rates of necrotizing enterocolitis (3.8% [3.4%-4.3%] vs 3.1% [95% CI, 2.8%-3.4%]) and mortality (95% CI, 7.1% [6.5%-7.7%] vs 6.6% [6.2%-7.0%])., Conclusions: snNICUs achieved similar performance as non-snNICUs in quality of care except for small but significant differences in any human milk at discharge, infection, hypothermia, necrotizing enterocolitis, and mortality., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objective: To assess the relationship of moderate and late preterm birth (32 0/7 -36 6/7  weeks) to long-term educational outcomes., Study Design: We hypothesized that moderate and late preterm birth would be associated with adverse outcomes in elementary school. To test this, we linked vital statistics patient discharge data from the Office of Statewide Health Planning and Development including birth outcomes, to the 2015-2016 school year administrative data of a large, urban school district (n = 72 316). We compared the relative risk of moderate and late preterm and term infants for later adverse neurocognitive and behavioral outcomes in kindergarten through the 12th grade., Results: After adjusting for socioeconomic status, compared with term birth, moderate and late preterm birth was associated with an increased risk of low performance in mathematics and English language arts, chronic absenteeism, and suspension. These risks emerged in kindergarten through grade 2 and remained in grades 3-5, but seemed to wash out in later grades, with the exception of suspension, which remained through grades 9-12., Conclusions: Confirming our hypothesis, moderate and late preterm birth was associated with adverse educational outcomes in late elementary school, indicating that it is a significant risk factor that school districts could leverage when targeting early intervention. Future studies will need to test these relations in geographically and socioeconomically diverse school districts, include a wider variety of outcomes, and consider how early interventions moderate associations between birth outcomes and educational outcomes., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objective: To examine the hypothesis that increasing rates and differential uptake of antenatal steroids would bias estimation of impact of antenatal steroids on neonatal death and severe (grade III-IV) intraventricular hemorrhage (IVH)., Study Design: The study population included infants born between 24 and 28 weeks of gestational age in the California Perinatal Quality Care Collaborative. Outcomes were in-hospital mortality and severe IVH. Mixed multivariable logistic regression models estimated the effect of antenatal steroid exposure, one model accounting for individual risk factors as fixed effects, and a second model incorporating a predicted probability factor estimating overall risk status for each time period., Results: The study cohort included 28 252 infants. Antenatal steroid exposure increased from 80.1% in 2005 to 90.3% in 2016, severe IVH decreased from 14.5% to 9.0%, and mortality decreased from 12.8% to 9.1%. When stratified by group, 3-year observed outcomes improved significantly in infants exposed to antenatal steroids (12.5%-8.6% for IVH, 11.5%-8.8% for death) but not in those not exposed (20.7%-19.1% and 16.6%-15.5%, respectively). Women not receiving antenatal steroids had greater risk profile (such as no prenatal care) and greater predicted probability for severe IVH and mortality. Both outcomes exhibited little change (P > .05) over time for the group without antenatal steroids. In contrast, in women receiving antenatal steroids, observed and adjusted rates for both outcomes decreased (P < .0001)., Conclusions: As the population's proportion of antenatal steroid use increased, the observed positive effect of antenatal steroids also increased. This apparent increase may be designated as the "population improvement bias.", (Copyright © 2020 Elsevier Inc. All rights reserved.)

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., (© Health Research and Educational Trust.)

Background: Congenital anomalies are the leading cause of infant death and pediatric hospitalization, but existing estimates of the associated costs of health care are either cross-sectional surveys or economic projections. We sought to determine the percent of total hospital health care expenditures attributable to major anomalies requiring surgery within the first year of life., Methods: Utilizing comprehensive California statewide data from 2008 to 2012, cohorts of infants undergoing major surgery, with birth defects and with surgical anomalies, were constructed alongside a referent group of newborns with no anomalies or operations. Cost-to-charge and physician fee ratios were used to estimate hospital and professional costs, respectively. For each cohort, costs were broken down according to admission, birth episode, and first year of life, with additional stratifications by birth weight, gestational age, and organ system., Results: In total, 68,126 of 2,205,070 infants (3.1%) underwent major surgery (n = 32,614) or had a diagnosis of a severe congenital anomaly (n = 57,793). These accounted for $7.7 billion of the $18.9 billion (40.7%) of the total health care costs/expenditures of the first-year-of-life hospitalizations, $7.0 billion (48.6%) of the costs for infants with comparatively long birth episodes, and $5.2 billion (54.7%) of the total neonatal intensive care unit admission costs. Infants with surgical anomalies (n = 21,264) totaled $4.1 billion (21.7%) at $80,872 per infant. Cardiovascular and gastrointestinal diseases accounted for most admission costs secondary to major surgery or congenital anomalies., Conclusion: In a population-based cohort of infant births compared with other critically ill neonates, surgical congenital anomalies are disproportionately costly within the United States health care system. The care of these infants, half of whom are covered by Medi-Cal or Medicaid, stands as a particular focus in an age of reform of health care payments., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Objective: To provide population-based estimates of the hospital-related costs of maternal and newborn care, and how these vary by gestational age and birth weight., Study Design: We conducted a retrospective analysis of 2009-2011 California in-hospital deliveries at nonfederal hospitals with the infant and maternal discharge data successfully (96%) linked to birth certificates. Cost-to-charge ratios were used to estimate costs from charges. Physician hospital payments were estimated by mean diagnosis related group-specific reimbursement and costs were adjusted for inflation to December 2017 values. After exclusions for incomplete or missing data, the final sample was 1 265 212., Results: The mean maternal costs for all in-hospital deliveries was $8204, increasing to $13 154 for late preterm (32-36 weeks) and $22 702 for very preterm (<32 weeks) mothers. The mean cost for all newborns was $6389: $2433 for term infants, $22 102 for late preterm, $223 931 for very preterm infants, and $317 982 for extremely preterm infants (<28 weeks). Preterm infants were 8.1% of cases but incurred 60.9% of costs; for very preterm and extremely preterm infants, these shares were 1.0% and 36.5%, and 0.4% and 20.0%, respectively. Overall, mothers incurred 56% of the total costs during the delivery hospitalization., Conclusions: Both maternal and neonatal costs are skewed, with this being much more pronounced for infants. Preterm birth is much more expensive than term delivery, with the additional costs predominately incurred by the infants. The small share of infants who require extensive stays in neonatal intensive care incur a large share of neonatal costs and these costs have increased over time., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Objective: To describe variation in payer and outcomes in Veterans' births., Data/setting: Secondary data analyses of deliveries in California, 2000-2012., Study Design: We performed a retrospective, population-based study of all live births to Veterans (confirmed via U.S. Department of Veterans Affairs (VA) enrollment records), to identify payer and variations in outcomes among: (1) Veterans using VA coverage and (2) Veteran vs. all other births. We calculated odds ratios (aOR) adjusted for age, race, ethnicity, education, and obstetric demographics., Methods: We anonymously linked VA administrative data for all female VA enrollees with California birth records., Principal Findings: From 2000 to 2012, we identified 17,495 births to Veterans. VA covered 8.6 percent (1,508), Medicaid 17.3 percent, and Private insurance 47.6 percent. Veterans who relied on VA health coverage had more preeclampsia (aOR 1.4, CI 1.0-1.8) and more cesarean births (aOR 1.2, CI 1.0-1.3), and, despite similar prematurity, trended toward more neonatal intensive care (NICU) admissions (aOR 1.2, CI 1.0-1.4) compared to Veterans using other (non-Medicaid) coverage. Overall, Veterans' birth outcomes (all-payer) mirrored California's birth outcomes, with the exception of excess NICU care (aOR 1.15, CI 1.1-1.2)., Conclusions: VA covers a higher risk fraction of Veterans' births, justifying maternal care coordination and attention to the maternal-fetal impacts of Veterans' comorbidities., (© Health Research and Educational Trust.)

Background: Differences in NICU quality of care provided to very low birth weight (<1500 g) infants may contribute to the persistence of racial and/or ethnic disparity. An examination of such disparities in a population-based sample across multiple dimensions of care and outcomes is lacking., Methods: Prospective observational analysis of 18 616 very low birth weight infants in 134 California NICUs between January 1, 2010, and December 31, 2014. We assessed quality of care via the Baby-MONITOR, a composite indicator consisting of 9 process and outcome measures of quality. For each NICU, we calculated a risk-adjusted composite and individual component quality score for each race and/or ethnicity. We standardized each score to the overall population to compare quality of care between and within NICUs., Results: We found clinically and statistically significant racial and/or ethnic variation in quality of care between NICUs as well as within NICUs. Composite quality scores ranged by 5.26 standard units (range: -2.30 to 2.96). Adjustment of Baby-MONITOR scores by race and/or ethnicity had only minimal effect on comparative assessments of NICU performance. Among subcomponents of the Baby-MONITOR, non-Hispanic white infants scored higher on measures of process compared with African Americans and Hispanics. Compared with whites, African Americans scored higher on measures of outcome; Hispanics scored lower on 7 of the 9 Baby-MONITOR subcomponents., Conclusions: Significant racial and/or ethnic variation in quality of care exists between and within NICUs. Providing feedback of disparity scores to NICUs could serve as an important starting point for promoting improvement and reducing disparities., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2017 by the American Academy of Pediatrics.)

Background: Regionalized care delivery purportedly optimizes care to vulnerable very low birth weight (VLBW; <1500 g) infants. However, a comprehensive assessment of quality of care delivery across different levels of NICUs has not been done., Methods: We conducted a cross-sectional analysis of 21,051 VLBW infants in 134 California NICUs. NICUs designated their level of care according to 2012 American Academy of Pediatrics guidelines. We assessed quality of care delivery via the Baby-MONITOR, a composite indicator, which combines 9 risk-adjusted measures of quality. Baby-MONITOR scores are measured as observed minus expected performance, expressed in standard units with a mean of 0 and an SD of 1., Results: Wide variation in Baby-MONITOR scores exists across California (mean [SD] 0.18 (1.14), range -2.26 to 3.39). However, level of care was not associated with overall quality scores. Subcomponent analysis revealed trends for higher performance of Level IV NICUs on several process measures, including antenatal steroids and any human milk feeding at discharge, but lower scores for several outcomes including any health care associated infection, pneumothorax, and growth velocity. No other health system or organizational factors including hospital ownership, neonatologist coverage, urban or rural location, and hospital teaching status, were significantly associated with Baby-MONITOR scores., Conclusions: The comprehensive assessment of the effect of level of care on quality reveals differential opportunities for improvement and allows monitoring of efforts to ensure that fragile VLBW infants receive care in appropriate facilities., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2016 by the American Academy of Pediatrics.)

Background: There are limited data on mortality outcomes associated with use of amiodarone in atrial fibrillation and flutter (AF)., Methods: We evaluated the association of amiodarone use with mortality in patients with newly diagnosed AF using complete data from the Department of Veterans Affairs national health care system. We included patients seen in an outpatient setting within 90 days of a new diagnosis for nonvalvular AF between Veterans Affairs fiscal years 2004 and 2008. Multivariate analysis and propensity-matched Cox proportional hazards regression were used to evaluate the association of amiodarone use to death., Results: Of 122,465 patients (353,168 person-years of follow-up, age 72.1 ± 10.3 years, 98.4% males), amiodarone was prescribed in 11,655 (9.5%). Cumulative, unadjusted mortality rates were higher for amiodarone recipients than for nonrecipients (87 vs 73 per 1,000 person-years, P < .001). However, in multivariate and propensity-matched survival analyses, there was no significant difference in mortality (multivariate hazard ratio 1.01, 95% CI 0.97-1.05, P = .51, and propensity-matched hazard ratio 1.02, 95% CI 0.97-1.07, P = .45). The hazard of death was not modified by age, sex, heart failure, kidney function, β-blocker use, or warfarin use, but there was evidence of effect modification among patients diagnosed with AF as an inpatient versus outpatient., Conclusion: In a national health care system population of newly diagnosed AF, overall use of amiodarone as an early treatment strategy was not associated with mortality., (Published by Elsevier Inc.)

Background: Regional referral systems are considered important for children hospitalized for surgery, but there is little information on existing systems., Objectives: To examine geographic variations in anesthetic caseloads in California for surgical inpatients ≤6 years and to evaluate the feasibility of regionalizing anesthetic care., Methods: We reviewed California's unmasked patient discharge database between 2000 and 2009 to determine surgical procedures, dates, and inpatient anesthetic caseloads. Hospitals were classified as urban or rural and were further stratified as low, intermediate, high, and very high volume., Results: We reviewed 257,541 anesthetic cases from 402 hospitals. Seventeen California Children's Services (CCS) hospitals conducted about two-thirds of all inpatient anesthetics; 385 non-CCS hospitals accounted for the rest. Urban hospitals comprised 82% of low- and intermediate-volume centers (n = 297) and 100% of the high- and very high-volume centers (n = 41). Ninety percent (n = 361) of hospitals performed <100 cases annually. Although potentially lower risk procedures such as appendectomies were the most frequent in urban low- and intermediate-volume hospitals, fairly complex neurosurgical and general surgeries were also performed. The median distance from urban lower-volume hospitals to the nearest high- or very high-volume center was 12 miles. Up to 98% (n = 40,316) of inpatient anesthetics at low- or intermediate-volume centers could have been transferred to higher-volume centers within 25 miles of smaller centers., Conclusions: Many urban California hospitals maintained low annual inpatient anesthetic caseloads for children ≤6 years while conducting potentially more complex procedures. Further efforts are necessary to define the scope of pediatric anesthetic care at urban low- and intermediate-volume hospitals in California., (© 2014 John Wiley & Sons Ltd.)

Background: Findings from studies examining risk of preterm birth associated with elevated prepregnancy body mass index (BMI) have been inconsistent., Methods: Within a large population-based cohort, we explored associations between prepregnancy BMI and spontaneous preterm birth across a spectrum of BMI, gestational age, and racial/ethnic categories. We analysed data for 989,687 singleton births in California, 2007-09. Preterm birth was grouped as 20-23, 24-27, 28-31, or 32-36 weeks gestation (compared with 37-41 weeks). BMI was categorised as <18.5 (underweight); 18.5-24.9 (normal); 25.0-29.9 (overweight); 30.0-34.9 (obese I); 35.0-39.9 (obese II); and ≥ 40.0 (obese III). We assessed associations between BMI and spontaneous preterm birth of varying severity among non-Hispanic White, Hispanic, and non-Hispanic Black women., Results: Analyses of mothers without hypertension and diabetes, adjusted for age, education, height, and prenatal care initiation, showed obesity categories I-III to be associated with increased risk of spontaneous preterm birth at 20-23 and 24-27 weeks among those of parity 1 in each race/ethnic group. Relative risks for obese III and preterm birth at 20-23 weeks were 6.29 [95% confidence interval (CI) 3.06, 12.9], 4.34 [95% CI 2.30, 8.16], and 4.45 [95% CI 2.53, 7.82] for non-Hispanic Whites, non-Hispanic Blacks, and Hispanics, respectively. A similar, but lower risk, pattern was observed for women of parity ≥ 2 and preterm birth at 20-23 weeks. Underweight was associated with modest risks for preterm birth at ≥ 24 weeks among women in each racial/ethnic group regardless of parity., Conclusions: The association between women's prepregnancy BMI and risk of spontaneous preterm birth is complex and is influenced by race/ethnicity, gestational age, and parity., (© 2014 John Wiley & Sons Ltd.)

Background: Trauma centers (TCs) have been shown to decrease mortality in adults, but this has not been demonstrated at a population level in all children. We hypothesized that seriously injured children would have increased survival in a TC versus nontrauma center (nTC), but there would be no increased benefit from pediatric-designated versus adult TC care., Methods: This was a retrospective study of the unmasked California Office of Statewide Health and Planning Department patient discharge database (1999-2011). DRG International Classification of Diseases-9th Rev. (ICD-9) diagnostic codes indicating trauma were identified for children (0-18 years), and injury severity was calculated from ICD-9 codes using validated algorithms. To adjust for hospital case mix, we selected patients with ICD-9 codes that were capable of causing death and which appeared at both TCs and nTCs. Instrumental variable (IV) analysis using differential distance between the child's residence to a TC and to the nearest hospital was applied to further adjust for unobservable differences in TC and nTC populations. Instrumental variable regression models analyzed the association between mortality and TC versus nTC care as well as for pediatric versus adult TC designations, adjusting for demographic and clinical variables., Results: Unadjusted mortality for the entire population of children with nontrivial trauma (n = 445,236) was 1.2%. In the final study population (n = 77,874), mortality was 5.3%, 3.8% in nTCs and 6.1% in TCs. IV regression analysis demonstrated a 0.79 percentage point (95% confidence interval, -0.80 to -0.30; p = 0.044) decrease in mortality for children cared for in TC versus nTC. No decrease in mortality was demonstrated for children cared for in pediatric versus adult TCs., Conclusion: Our IV TC outcome models use improved injury severity and case mix adjustment to demonstrate decreased mortality for seriously injured California children treated in TCs. These results can be used to take evidence-based steps to decrease disparities in pediatric access to, and subsequent outcomes for, trauma care., Level of Evidence: Therapeutic/care management, level III.

Objective: The objective of this study was to examine the effect of hospital-level factors on mortality of very low birth weight infants using multilevel modeling., Study Design: This is a secondary data analysis of California maternal-infant hospital discharge data from 1997 to 2002. The study population was limited to singleton, non-anomalous, very low birth weight infants, who delivered in hospitals providing neonatal intensive care services (level-2 and higher). Hierarchical generalized linear modeling, also known as multilevel modeling, was used to adjust for individual-level confounders., Result: In a multilevel model, increasing hospital volume of very low birth weight deliveries was associated with lower odds of very low birth weight mortality. Characteristics of a particular hospital's obstetrical and neonatal services (the presence of residency and fellowship training programs and the availability of perinatal and neonatal services) had no independent effect., Conclusion: Using multilevel modeling, hospital volume of very low birth weight deliveries appears to be the primary driver of reduced mortality among very low birth weight infants.

Objective: To determine the adjusted effect of hospital level of care and volume on mortality of very low birth weight (VLBW) infants in the state of California, where deregionalization of perinatal care has occurred., Research Design: Secondary data analysis of California maternal-infant hospital discharge data from 1997 to 2002 was performed. Logistic regression was used to evaluate the odds of mortality among VLBW infants by hospital level of neonatal intensive care and volume of VLBW deliveries, in the context of differences in antenatal and delivery factors by hospital site of delivery., Results: Both maternal and fetal antenatal risk profiles and delivery characteristics vary by hospital site of delivery. After risk adjustment, lower-level, lower-volume units were associated with a higher odds of mortality. The highest odds of mortality occurred in level-1 units with < or =10 VLBW deliveries per year (odds ratio, 1.69; 95% confidence interval, 1.43-1.99). In isolation, hospital volume, rather than level of care, had the greater effect., Conclusions: Although deregionalization of perinatal services may increase access to care for high-risk mothers and newborns, its impact on hospital volume may outweigh its potential benefit.

Objective: We sought to describe population-based trends, potential risk factors, and hospital costs of readmission for jaundice for term and late preterm infants., Methods: Birth-cohort data were obtained from the California Office of Statewide Health Planning and Development and contained infant vital statistics data linked to infant and maternal hospital discharge summaries. The study population was limited to healthy, routinely discharged infants through the use of multiple exclusion criteria. All linked readmissions occurred within 14 days of birth. International Classification of Diseases, Ninth Revision, codes were used to further limit the sample to readmission for jaundice. Hospital discharge records were the source of diagnoses, hospital charges, and length-of-stay information. Hospital costs were estimated using hospital-specific ratios of costs to charges and adjusted to 1991., Results: Readmission rates for jaundice generally rose after 1994 and peaked in 1998 at 11.34 per 1000. The readmission rate for late preterm infants (as a share of all infants) over the study period remained at <2 per 1000. Factors associated with increased likelihood of hospital readmission for jaundice included gestational age 34 to 39 weeks, birth weight of <2500 g, male gender, Medicaid or private insurance, and Asian race. Factors associated with a decreased likelihood of readmission for jaundice were cesarean section delivery and black race. The mean cost of readmission for all infants was $2764, with a median cost of $1594., Conclusions: Risk-adjusted readmission rates for jaundice rose following the 1994 hyperbilirubinemia guidelines and declined after postpartum length-of-stay legislation in 1998. In 2000, the readmission rate remained 6% higher than in 1991. These findings highlight the complex relationship among newborn physiology, socioeconomics, race or ethnicity, public policy, clinical guidelines, and physician practice. These trend data provide the necessary baseline to study whether revised guidelines will change practice patterns or improve outcomes. Cost data also provide a break-even point for prevention strategies.

Objective: To obtain information about health outcomes in neonates in 9 subgroups of the Asian population in the United States., Design: Cross-sectional comparison of outcomes for births to mothers of Cambodian, Chinese, Filipino, Indian, Japanese, Korean, Laotian, Thai, and Vietnamese origin and for births to non-Hispanic white mothers. Regression models were used to compare neonatal mortality across groups before and after controlling for various risk factors., Setting: All California births between January 1,1991, and December 31, 2001., Participants: More than 2.3 million newborn infants., Main Exposure: Racial and ethnic groups., Main Outcome Measure: Neonatal mortality (death within 28 days of birth)., Results: The unadjusted mortality rate for births to non-Hispanic white mothers was 2.0 per 1000. The unadjusted mortality rate for births to Chinese and Japanese mothers was significantly lower (Chinese: 1.2 per 1000, P<.001; Japanese: 1.2 per 1000, P=.004), and for births to Korean mothers the rate was significantly higher (2.7 per 1000, P=.003). For infants of Chinese mothers, observed risk factors explain the differences observed in unadjusted data. For infants of Cambodian, Japanese, Korean, and Thai mothers, differences persist or widen after risk factors are considered. After risk adjustment, infants of Cambodian, Japanese, and Korean mothers have significantly lower neonatal mortality rates compared with infants born to non-Hispanic white mothers (adjusted odds ratios, 0.58 for infants of Cambodian mothers, 0.67 for infants of Japanese mothers, and 0.69 for infants of Korean mothers; all P<.05); infants of Thai mothers have higher neonatal mortality rates (adjusted odds ratio, 1.89; P<.05)., Conclusions: There are significant variations in neonatal mortality between subgroups of the Asian American population that are not entirely explained by differences in observable risk factors. Efforts to improve clinical care that treat Asian Americans as a homogeneous group may miss important opportunities for improving infant health in specific subgroups.

Objective: To estimate the potential savings, both in terms of costs and lengths of stay, of one-week increases in gestational age for premature infants. The purpose is to provide population-based data that can be used to assess the potential savings of interventions that delay premature delivery., Data: Cohort data for all births in California in 1998-2000 that linked vital records data with those from hospital discharge abstracts, including those of neonatal transport. All infants with a gestational age between 24 and 37 weeks were included. There were 193,167 infants in the sample after deleting cases with incomplete data or gestational age that was inconsistent with birth weight., Methods: Hospital costs were estimated by adjusting charges by hospital-specific costs-to-charges ratios. Data were aggregated across transport into episodes of care. Mean and median potential savings were calculated for increasing gestational age, in one-week intervals. The 25th and 75th percentiles were used to estimate ranges., Results: The results are presented in matrix format, for starting gestational ages of 24-34 weeks, with ending gestational ages of 25 to 37 weeks. Costs and lengths of stay decreased with gestational age from a median of $216,814 (92 days) at 24 weeks to $591 (2 days) at 37 weeks. The potential savings from delaying premature labor are quite large; the median savings for a 2 week increase in gestational age were between $28,870 and $64,021 for gestational ages below 33 weeks, with larger savings for longer delays in delivery. Delaying deliveries <29 weeks to term (37 weeks) resulted in savings of over $122,000 per case, with the savings being over $206,000 for deliveries <26 weeks., Conclusions: These results provide population-based data that can be applied to clinical trials data to assess the impacts on costs and lengths of stay of interventions that delay premature labor. They show that the potential savings of delaying premature labor are quite large, especially for extremely premature deliveries.

Objective: We sought to describe the current costs of newborn care by using population-based data, which includes linked vital statistics and hospital records for both mothers and infants. These data allow costs to be reported by episode of care (birth), instead of by hospitalization., Methods: Data for this study were obtained from the linked 2000 California birth cohort data. These data (n = 518,704), provided by the California Office of Statewide Health Planning and Development (OSHPD), contain infant vital statistics data (birth and death certificate data) linked to infant and maternal hospital discharge summaries. In addition to the infant and maternal hospital discharge summaries associated with delivery, these data include discharge summaries for all infant hospital-to-hospital transfers and maternal prenatal hospitalizations. The linkage algorithm that is used by OSHPD in creating the linked cohort data file is highly accurate. More than 99% of the maternal and infant discharge abstracts were linked successfully with the birth certificates. These data were also linked successfully with the infant discharge abstracts from the receiving hospital for 99% of the infants who were transferred to another hospital. The hospital discharge records were the source of the hospital charges and length-of-stay information summarized in this study. Hospital costs were estimated by adjusting charges by hospital-specific ratios of costs to charges obtained from the OSHPD Hospital Financial Reporting data. Costs, lengths of stay, and mortality were summarized by birth weight groups, gestational age, cost categories, and types of admissions., Results: Low birth weight (LBW) and very low birth weight (VLBW) infants had significantly longer hospital stays and accounted for a significantly higher proportion of total hospital costs. The average hospital stay for LBW infants ranged from 6.2 to 68.1 days, whereas the average hospital stay for infants who weighed >2500 g at birth was 2.3 days. Overall, VLBW infants accounted for 0.9% of cases but 35.7% of costs, whereas LBW infants accounted for 5.9% of cases but 56.6% of total hospital costs. Although total maternal and infant costs were similar (approximately 1.6 billion dollars), the distribution of maternal costs was much less skewed. For infants, 5% of infants accounted for 76% of total infant hospital costs. Conversely, the most expensive 3% of deliveries accounted for only 17% of total maternal costs., Conclusions: The very smallest infants make up a hugely disproportionate share of costs; more than half of all neonatal costs are incurred by LBW or premature infants. Maternal costs are similar in magnitude to newborn costs, but they are much less skewed than for infants. Preventing premature deliveries could yield very large cost savings, in addition to saving lives.

Managed care may influence technology diffusion in health care. This article empirically examines the relationship between HMO market share and the diffusion of neonatal intensive care units. Higher HMO market share is associated with slower adoption of mid-level units, but not with adoption of the most advanced high-level units. Opposite the common supposition that slowing technology growth will harm patients, results suggest that health outcomes for seriously ill newborns are better in higher-level units and that reduced availability of mid-level units may increase their chance of receiving care in a high-level center, so that slower mid-level growth could have benefitted patients.

Objective: In 1976, the Committee on Perinatal Health recommended that hospitals with no neonatal intensive care unit (NICU) or intermediate NICUs transfer high-risk mothers and infants that weigh <2000 g to a regional NICU. This standard was based on expert opinion and has not been validated carefully. This study evaluated the effect of NICU level and patient volume at the hospital of birth on neonatal mortality of infants with a birth weight (BW) of <2000 g., Methods: Birth certificates of 16 732 singleton infants who had a BW of <2000 g and were born in nonfederal hospitals in California in 1992 and 1993 were linked to death certificates and to discharge abstracts. The hospitals were classified by the level of NICU: no NICU, no intensive care; intermediate NICU, intermediate intensive care; community NICU, expanded intermediate intensive care; and regional NICU, tertiary intensive care. A logistic regression model that controlled for demographic risks, diagnoses, transfer, average NICU census, and NICU level was estimated using death within the first 28 days or first year of life if continuously hospitalized as the main outcome measure., Results: Compared with birth in a hospital with a regional NICU, risk-adjusted mortality of infants with BW of <2000 g was higher when birth occurred in hospitals with no NICU (odds ratio [OR]: 2.38; 95% confidence interval [CI]: 1.81-3.13), an intermediate NICU (OR: 1.92; 95% CI: 1.44-2.54), or a small (average census <15) community NICU (OR: 1.42; 95% CI: 1.14-1.76). Risk-adjusted mortality for infants who were born in hospitals with a large (average census > or =15) community NICU was not statistically different compared with those with a regional NICU (OR: 1.11; 95% CI: 0.87-1.43). Except for large community NICUs, all of these ORs are larger when the data are restricted to infants with BW of <1500 g or BW of <1250 g and smaller for BW between 1250 g and 1999 g and 1500 g and 1999 g. For large community NICUs, the results are similar for the smaller BW intervals and significant only for the larger BW interval., Conclusions: These results support the recommendation that hospitals with no NICU or intermediate NICUs transfer high-risk mothers with estimated fetal weight of <2000 g to a regional NICU. For infants with BW of <2000 g, birth at a hospital with a regional NICU is associated with a lower risk-adjusted mortality than birth at a hospital with no NICU, intermediate NICU of any size, or small community NICU. Subsequent neonatal transfer to a regional NICU only marginally decreases the disadvantage of birth at these hospitals. The evidence for the few hospitals with large community NICUs is mixed. Although the data point to higher mortality in large community NICUs, they are not conclusive and additional study is needed on the mortality effects of large community NICUs. Greater efforts should be made to deliver infants with expected BW of <2000 g at hospitals with regional NICUs.

Objectives: To estimate excess direct medical costs of low birth weight from maternal smoking and short-term cost savings from smoking cessation programs before or during the first trimester of pregnancy., Methods: Simulations using data on neonatal costs per live birth. Outcome measures are mean US excess direct medical cost per live birth, total excess direct medical cost, reductions in low birth weight, and savings in medical costs from an annual 1 percentage point drop in smoking prevalence among pregnant women., Results: Mean average excess direct medical cost per live birth for each pregnant smoker (in 1995 dollars) was $511; total cost was $263 million. An annual drop of 1 percentage point in smoking prevalence would prevent 1300 low birth weight live births and save $21 million in direct medical costs in the first year of the program; it would prevent 57,200 low birth weight infants and save $572 million in direct medical costs in 7 years., Conclusions: Smoking cessation before the end of the first trimester produces significant cost savings from the prevention of low birth weight.

Objective: To examine the effects of neonatal intensive care unit (NICU) patient volume and the level of NICU care available at the hospital of birth on neonatal mortality., Design: Birth certificate data linked to infant death certificates and to infant discharge abstracts were used in a logistic regression model to control for differences in each patient's clinical and demographic risks. Hospitals were classified by the level of NICU care available (no NICU: level I; intermediate NICU: level II; expanded intermediate NICU: level II+: tertiary NICU: level III) and by the average patient census in the NICU., Setting: All nonfederal hospitals in California with maternity services., Patients: All births in nonfederal hospitals in California in 1990 (N=594104), 473209 (singletons only) of which were successfully linked with discharge abstracts. Of these infants, 53229 were classified as likely NICU admissions., Main Outcome Measures: Death within the first 28 days of life, or within the first year of life, if continuously hospitalized., Results: Patient volume and level of NICU care at the hospital of birth both had significant effects on mortality. Compared with hospitals without an NICU, infants born in a hospital with a level III NICU with an average NICU census of at least 15 patients per day had significantly lower risk-adjusted neonatal mortality (odds ratio, 0.62; 95% confidence interval, 0.47-0.82; P=.002). Risk-adjusted neonatal mortality for infants born in smaller level III NICUs, and in level II+ and level II NICUs, regardless of size, was not significantly different from hospitals without an NICU, and was significantly higher than hospitals with large level III NICUS., Conclusions: Risk-adjusted neonatal mortality was significantly lower for births that occurred in hospitals with large (average census, >15 patients per day) level III NICUs. Despite the differences in outcomes, costs for the birth of infants born at hospitals with large level III NICUs were not more than those for infants born at other hospitals with NICUs. Concentration of high-risk deliveries in urban areas in a smaller number of hospitals that could provide level III NICU care has the potential to decrease neonatal mortality without increasing costs.

Objective: To provide a radius measure of the structure of local hospital markets that varies with hospital characteristics and is available for all hospitals in the United States., Data Sources: 1982 American Hospital Association (AHA) Survey of Hospitals, 1982 Area Resource File (ARF), and 1983 California Office of Statewide Health Planning and Development (OSHPD) discharge abstracts., Study Design: The OSHPD data were used to measure the radii necessary to capture 75 percent and 90 percent of each hospital's admissions. These radii were used as the dependent variables in regression models in which the independent variables were from the AHA and ARF. To estimate predicted market radii, the estimated parameters from the California models were applied to all nonfederal, short-term, general hospitals in the continental United States. These radii were used to define each hospital's service area, and all other hospitals within the calculated radii were considered potential competitors. Using this definition, we calculated two measures of local market structure: the number of other hospitals within the radius and a Herfindahl-Hirschman Index based on the distribution of hospital bed shares in the market., Data Extraction Methods: These measures were calculated for all nonfederal, short-term, acute care hospitals in the continental United States for whom complete data were available (N = 4,884)., Conclusions: These measures are available from the authors on computer-readable diskette, matched to hospital identifiers.

Background: The California Diabetes and Pregnancy Program is a new preventive approach to improving pregnancy outcomes through intensive diabetes management preconception and early in pregnancy., Methods: Hospital charges and length of stay data were collected on 102 program enrollees and 218 control cases. Ninety program enrollees and 90 control cases were matched on mother's age. White's classification, and race. Regression models controlled for these variables in addition to MediCal status, birth weight, and enrollment in the program., Results: Hospital charges were about 30% less for program participants and days in the hospital were roughly 25% less. The program effects were larger for women that enrolled before 8 weeks gestation. More serious diabetics were also found to have larger reductions in charges and days., Conclusion: After adjusting for inflation and differences in charges across hospitals, $5.19 is saved for every dollar spent on the program.

To understand the sources of the high costs of neonatal intensive care, financial and medical information on 1,185 admissions to an intensive care nursery was gathered. Multiple regression analysis showed that a significant portion of the variation in individual costs was explained by three measures of risk: low birth weight, surgical intervention, and assisted ventilation. There was a highly skewed distribution of costs. Nearly half of all admissions had none of the above risk factors, had an average cost of about $2,000, and accounted for only 13% of the total costs for the whole sample. In contrast, less than one quarter of the admissions had two or more of the risk factors, had an average cost of $19,800, and accounted for nearly 60% of the total costs. Models that predict costs and length of stay on a basis of seven risk factors were developed to allow for differences in patient populations.

It is plausible that distance, quality, and hospital charges all influence which hospital patients (and their referring physicians) choose. Several researchers have estimated conditional choice models that explicitly incorporate the existence of competing hospitals. To be useful for hospital administrators, health planners and insurers, however, estimates must be made for specific types of patients and include entire market areas. Data sets meeting these requirements have many combinations of hospitals and locations with zero patients. This raises computational difficulties with the linear estimation techniques used previously. In this paper, we use data on patients undergoing cardiac catheterization in several market areas to assess alternative estimation techniques. First, we estimate the conditional choice model with the two techniques used previously to transform the non-linear choice model. These involve using as a reference (1) a single hospital, or (2) the geometric mean of all the hospitals in the market. When there are many zeros, these techniques require extensive adjustments to the data which may lead to biased estimators. We then compare these results with maximum likelihood estimates. The latter results are substantively and significantly different from those using traditional techniques. More importantly, the linear estimates are much more sensitive to the proportion of zeros. We thus conclude that maximum likelihood estimates are preferable when there are many zeros.