IMPORTANCE Neonatal intensive care has been highly effective at improving newborn outcomes but is expensive and carries inherent risks. Existing studies of neonatal intensive care have focused on specific subsets of newborns and lack a population-based perspective. OBJECTIVES To describe admission rates to neonatal intensive care units (NICUs) for US newborns across the entire continuum of birth weight and how these rates have changed across time, as well as describe the characteristics of infants admitted to NICUs.
IMPORTANCE Two previous meta-analyses of nebulized hypertonic saline (HS) on hospital length of stay (LOS) in acute viral bronchiolitis have suggested benefit. Neither study fully addressed the issue of excessive heterogeneity in the cohort of studies, indicating that it may be inappropriate to combine such dissimilar studies to estimate a common treatment effect. OBJECTIVE To reanalyze the existing data set for sources of heterogeneity to delineate the population most likely to benefit from HS. DATA SOURCES We used the previously analyzed cohort of randomized trials from 2 published meta-analyses comparing HS with normal saline (or, in 1 case, with standard of care) in infants hospitalized for bronchiolitis. We also repeated the search strategy used by the most recent Cochrane Review in the Medline database through September 2015. STUDY SELECTION Eighteen randomized clinical trials of HS in infants with bronchiolitis reporting LOS as an outcome measure were included. DATA EXTRACTION AND SYNTHESIS The guidelines used for abstracting data included LOS, study year, setting, sample size, type of control, admission/discharge criteria, adjunct medications, treatment frequency, mean day of illness at study enrollment, mean severity of illness scores, and mean age. MAIN OUTCOMES AND MEASURES Weighted mean difference in LOS and study heterogeneity as measured by the I 2 statistic. RESULTS There were 18 studies included of 2063 infants (63% male), with a mean age of 4.2 months. The mean LOS was 3.6 days. Two main sources of heterogeneity were identified. First, the effect of HS on LOS was entirely sensitive to the removal of one study population, noted to have a widely divergent definition of the primary outcome. Second, there was a baseline imbalance in mean day of illness at presentation between treatment groups. Controlling for either of these factors resolved the heterogeneity (I 2 = reduced from 78% to 45% and 0%, respectively) and produced summary estimates in support of the null hypothesis (that HS does not affect LOS). There was a weighted mean difference in LOS of −0.21 days (95% CI, −0.43 to +0.02) for the sensitivity analysis and +0.02 days (95% CI, −0.14 to +0.17) for studies without unbalanced treatment groups on presentation. CONCLUSIONS AND RELEVANCE Prior analyses were driven by an outlier population and unbalanced treatment groups in positive trials. Once heterogeneity was accounted for, the data did not support the use of HS to decrease LOS in infants hospitalized with bronchiolitis.
IMPORTANCE Increasing hospital costs for bronchiolitis have been associated with increasing patient complexity and mechanical ventilation. However, the associations of illness severity and diagnostic coding practices with bronchiolitis hospitalization costs have not been examined.
OBJECTIVETo investigate the association of patient complexity, illness severity, and diagnostic coding practices with bronchiolitis hospitalization costs.
DESIGN, SETTING, AND PARTICIPANTSThis retrospective cross-sectional study included 385 883 infants aged 24 months or younger who were hospitalized with bronchiolitis at 39 hospitals in the
This systematic review to support the 2023 US Preventive Services Task Force Recommendation Statement on serologic screening for genital herpes summarizes published evidence on the benefits and harms of screening and interventions for genital herpes in asymptomatic sexually active adolescents, adults, and pregnant persons with no clinical history of genital herpes.
BACKGROUND: Although children with medical complexity have high health care needs, little is known about the variation in care provided between centers. This information may be particularly useful in identifying opportunities to improve quality and reduce costs.
METHODS:We conducted a retrospective population-based observational cohort study using all payer claims databases for children aged 30 days to ,18 years residing in Maine, New Hampshire, and Vermont from 2007 to 2010. We identified hospital-affiliated cohorts (n = 6) of patients (n = 8216) with medical complexity by using diagnostic codes from both inpatient and outpatient claims. Children were assigned to the hospital where they received the most inpatient days, or their outpatient visits if no hospitalization occurred. Outcomes of interest included patient encounters, medical imaging, and diagnostic testing. Adjusted relative rates were calculated with overdispersed Poisson regression models.RESULTS: Adjusting for patient characteristics, the number of inpatient (relative rate 0.84 vs 2.28) and intensive care days (relative rate 0.45 vs 1.28) varied by more than twofold, whereas office (relative rate 0.77 vs 1.12) and emergency department visits (relative rate 0.71 vs 1.37) varied to a lesser extent. There was also marked variation in the use of imaging, and other diagnostic tests, with particularly high variation in electrocardiography (relative rate 0.35 vs 2.81) and head MRI (relative rate 0.72 vs 2.12).CONCLUSIONS: Depending on where they receive care, children with medical complexity experience widely different patterns of utilization. These findings indicate the need for identifying best practices for this growing patient population.WHAT'S KNOWN ON THIS SUBJECT: Children with medical complexity require a disproportionate amount of health services due to a multitude of chronic severe illness, and their impact on the health care system appears to be increasing.
WHAT THIS STUDY ADDS:This study provides one of the first comparisons of health care utilization patterns for children with medical complexity between medical centers in a population-based cohort.
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