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IMPORTANCE: Inequalities in preterm infant mortality exist between population subgroups within the United States. OBJECTIVE: To characterize trends in preterm infant mortality by maternal race and socioeconomic status to assess how inequalities in preterm mortality rates have changed over time. DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective longitudinal descriptive study using the US National Center for Health Statistics birth infant/death data set for 12 256 303 preterm infant births over 26 years, between 1995 and 2020. Data were analyzed from December 2022 to March 2023. EXPOSURES: Maternal characteristics including race, smoking status, educational attainment, antenatal care, and insurance status were used as reported on an infant’s US birth certificate. MAIN OUTCOMES AND MEASURES: Preterm infant mortality rate was calculated for each year from 1995 to 2020 for all subgroups, with a trend regression coefficient calculated to describe the rate of change in preterm mortality. RESULTS: The average US preterm infant mortality rate (IMR) decreased from 33.71 (95% CI, 33.71 to 34.04) per 1000 preterm births per year between 1995-1997, to 23.32 (95% CI, 23.05 to 23.58) between 2018-2020. Black non-Hispanic infants were more likely to die following preterm births than White non-Hispanic infants (IMR, 31.09; 95% CI, 30.44 to 31.74, vs 21.81; 95% CI, 21.43 to 22.18, in 2018-2020); however, once born, extremely prematurely Black and Hispanic infants had a narrow survival advantage (IMR rate ratio, 0.87; 95% CI, 0.84 to 0.91, in 2018-2020). The rate of decrease in preterm IMR was higher in Black infants (−0.015) than in White (−0.013) and Hispanic infants (−0.010); however, the relative risk of preterm IMR among Black infants compared with White infants remained the same between 1995-1997 vs 2018-2020 (relative risk, 1.40; 95% CI, 1.38 to 1.44, vs 1.43; 95% CI, 1.39 to 1.46). The rate of decrease in preterm IMR was higher in nonsmokers compared with smokers (−0.015 vs −0.010, respectively), in those with high levels of education compared with those with intermediate or low (−0.016 vs – 0.010 or −0.011, respectively), and in those who had received adequate antenatal care compared with those who did not (−0.014 vs −0.012 for intermediate and −0.013 for inadequate antenatal care). Over time, the relative risk of preterm mortality widened within each of these subgroups. CONCLUSIONS AND RELEVANCE: This study found that between 1995 and 2020, US preterm infant mortality improved among all categories of prematurity. Inequalities in preterm infant mortality based on maternal race and ethnicity have remained constant while socioeconomic disparities have widened over time.

ObjectiveThe aim of this study was to investigate tested methods of population-based biliary atresia (BA) screening.DesignWe searched 11 databases between 1 January 1975 and 12 September 2022. Data extraction was independently done by two investigators.Main outcome measuresOur primary outcomes were: sensitivity and specificity of screening method in BA detection, age at Kasai, BA associated morbidity and mortality, cost-effectiveness of screening.ResultsSix methods of BA screening were evaluated: stool colour charts (SCCs), conjugated bilirubin measurements, stool colour saturations (SCSs), measurements of urinary sulfated bile acids (USBAs), assessments of blood spot bile acids and blood carnitine measurements.In a meta-analysis, USBA was the most sensitive and specific, with a pooled sensitivity and specificity of 100.0% (95% CI 2.5% to 100.0%) and 99.5% (95% CI 98.9% to 99.8%) (based on one study). This was followed by conjugated bilirubin measurements: 100.0% (95% CI 0.0% to 100.0%) and 99.3% (95% CI 91.9% to 99.9%), SCS: 100.0% (95% CI 0.00% to 100.0%) and 92.4% (95% CI 83.4% to 96.7%), and SCC: 87.9% (95% CI 80.4% to 92.8%) and 99.9% (95% CI 99.9% to 99.9%).SCC reduced the age of Kasai to ~60 days, compared with 36 days for conjugated bilirubin. Both SCC and conjugated bilirubin improved overall and transplant-free survival. The use of SCC was considerably more cost-effective than conjugated bilirubin measurements.ConclusionConjugated bilirubin measurements and SCC are the most researched and demonstrate improved sensitivity and specificity in detecting BA. However, their use is expensive. Further research into conjugated bilirubin measurements, as well as alternative methods of population-based BA screening, is required.PROSPERO registration numberCRD42021235133.

ObjectiveTo determine the incidence of neonatal abstinence syndrome (NAS) across neonatal units, explore healthcare utilisation and estimate the direct cost to the NHS.DesignPopulation cohort study.SettingNHS neonatal units, using data held in the National Neonatal Research Database.ParticipantsInfants born between 2012 and 2017, admitted to a neonatal unit in England, receiving a diagnosis of NAS (n=6411).Main outcome measuresIncidence, direct annual cost of care (£, 2016–2017 prices), duration of neonatal unit stay (discharge HR), predicted additional cost of care, and odds of receiving pharmacotherapy.ResultsOf 524 334 infants admitted during the study period, 6411 had NAS. The incidence (1.6/1000 live births) increased between 2012 and 2017 (β=0.07, 95% CI (0 to 0.14)) accounting for 12/1000 admissions and 23/1000 cot days nationally. The direct cost of care was £62 646 661 over the study period. Almost half of infants received pharmacotherapy (n=2631; 49%) and their time-to-discharge was significantly longer (median 18.2 vs 5.1 days; adjusted HR (aHR) 0.16, 95% CI (0.15 to 0.17)). Time-to-discharge was longer for formula-fed infants (aHR 0.73 (0.66 to 0.81)) and those discharged to foster care (aHR 0.77 (0.72 to 0.82)). The greatest predictor of additional care costs was receipt of pharmacotherapy (additional mean adjusted cost of £8420 per infant).ConclusionsThis population study highlights the substantial cot usage and economic costs of caring for infants with NAS on neonatal units. A shift in how healthcare systems provide routine care for NAS could benefit infants and families while alleviating the burden on services.

PurposePatient safety failures are recognised as a global threat to public health, yet remain a leading cause of death internationally. Vulnerable children are inversely more in need of high-quality primary health and social-care but little is known about the quality of care received. Using national patient safety data, this study aimed to characterise primary care-related safety incidents among vulnerable children.MethodsThis was a cross-sectional mixed methods study of a national database of patient safety incident reports occurring in primary care settings. Free-text incident reports were coded to describe incident types, contributory factors, harm severity and incident outcomes. Subsequent thematic analyses of a purposive sample of reports was undertaken to understand factors underpinning problem areas.ResultsOf 1183 reports identified, 572 (48%) described harm to vulnerable children. Sociodemographic analysis showed that included children had child protection-related (517, 44%); social (353, 30%); psychological (189, 16%) or physical (124, 11%) vulnerabilities. Priority safety issues included: poor recognition of needs and subsequent provision of adequate care; insufficient provider access to accurate information about vulnerable children, and delayed referrals between providers.ConclusionThis is the first national study using incident report data to explore unsafe care amongst vulnerable children. Several system failures affecting vulnerable children are highlighted, many of which pose internationally recognised challenges to providers aiming to deliver safe care to this at-risk cohort. We encourage healthcare organisations globally to build on our findings and explore the safety and reliability of their healthcare systems, in order to sustainably mitigate harm to vulnerable children.

IMPORTANCE: Sleep is vital to children’s biopsychosocial development. Inadequate sleep quantity and quality is a public health concern with an array of detrimental health outcomes. Portable mobile and media devices have become a ubiquitous part of children’s lives and may affect their sleep duration and quality. OBJECTIVE: To conduct a systematic review and meta-analysis to examine whether there is an association between portable screen-based media device (eg, cell phones and tablet devices) access or use in the sleep environment and sleep outcomes. DATA SOURCES: A search strategy consisting of gray literature and 24 Medical Subject Headings was developed in Ovid MEDLINE and adapted for other databases between January 1, 2011, and June 15, 2015. Searches of the published literature were conducted across 12 databases. No language restriction was applied. STUDY SELECTION: The analysis included randomized clinical trials, cohort studies, and cross-sectional study designs. Inclusion criteria were studies of school-age children between 6 and 19 years. Exclusion criteria were studies of stationary exposures, such as televisions or desktop or personal computers, or studies investigating electromagnetic radiation. DATA EXTRACTION AND SYNTHESIS: Of 467 studies identified, 20 cross-sectional studies were assessed for methodological quality. Two reviewers independently extracted data. MAIN OUTCOMES AND MEASURES: The primary outcomes were inadequate sleep quantity, poor sleep quality, and excessive daytime sleepiness, studied according to an a priori protocol. RESULTS: Twenty studies were included, and their quality was assessed. The studies involved 125 198 children (mean [SD] age, 14.5 [2.2] years; 50.1% male). There was a strong and consistent association between bedtime media device use and inadequate sleep quantity (odds ratio [OR], 2.17; 95% CI, 1.42-3.32) (P < .001, I2 = 90%), poor sleep quality (OR, 1.46; 95% CI, 1.14-1.88) (P = .003, I2 = 76%), and excessive daytime sleepiness (OR, 2.72; 95% CI, 1.32-5.61) (P = .007, I2 = 50%). In addition, children who had access to (but did not use) media devices at night were more likely to have inadequate sleep quantity (OR, 1.79; 95% CI, 1.39-2.31) (P < .001, I2 = 64%), poor sleep quality (OR, 1.53; 95% CI, 1.11-2.10) (P = .009, I2 = 74%), and excessive daytime sleepiness (OR, 2.27; 95% CI, 1.54-3.35) (P < .001, I2 = 24%). CONCLUSIONS AND RELEVANCE: To date, this study is the first systematic review and meta-analysis of the association of access to and the use of media devices with sleep outcomes. Bedtime access to and use of a media device were significantly associated with the following: inadequate sleep quantity, poor sleep quality, and excessive daytime sleepiness. An integrated approach among teachers, health care professionals, and parents is required to minimize device access at bedtime, and future research is needed to evaluate the influence of the devices on sleep hygiene and outcomes.