Dataset Information

Prioritization framework for improving the value of care for very low birth weight and very preterm infants.

ABSTRACT:

Objective

Create a prioritization framework for value-based improvement in neonatal care.

Study design

A retrospective cohort study of very low birth weight (<1500 g) and/or very preterm (<32 weeks) infants discharged between 2012 and 2019 using the Pediatric Health Information System Database. Resource use was compared across hospitals and adjusted for patient-level differences. A prioritization score was created combining cost, patient exposure, and inter-hospital variability to rank resource categories.

Results

Resource categories with the greatest cost, patient exposure, and inter-hospital variability were parenteral nutrition, hematology (lab testing), and anticoagulation (for central venous access and therapy), respectively. Based on our prioritization score, parenteral nutrition was identified as the highest priority overall.

Conclusions

We report the development of a prioritization score for potential value-based improvement in neonatal care. Our findings suggest that parenteral nutrition, central venous access, and high-volume laboratory and imaging modalities should be priorities for future comparative effectiveness and quality improvement efforts.

SUBMITTER: King BC

PROVIDER: S-EPMC8514333 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Publications

Prioritization framework for improving the value of care for very low birth weight and very preterm infants.

King Brian C BC King Brian C BC Richardson Troy T Patel Ravi M RM Lee Henry C HC Bamat Nicolas A NA Hall Matthew M Slaughter Jonathan L JL

Journal of perinatology : official journal of the California Perinatal Association 20210601 10

<h4>Objective</h4>Create a prioritization framework for value-based improvement in neonatal care.<h4>Study design</h4>A retrospective cohort study of very low birth weight (<1500 g) and/or very preterm (<32 weeks) infants discharged between 2012 and 2019 using the Pediatric Health Information System Database. Resource use was compared across hospitals and adjusted for patient-level differences. A prioritization score was created combining cost, patient exposure, and inter-hospital variability to ...[more]

PMID: 34075201

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Project description:ObjectivesThe aim of the present study was to examine the changes in bacteria in hospitalized preterm infants during the first month of life.MethodsRectal swabs were collected daily from 12 preterm infants. DNA was extracted from swabs from day of birth and weekly thereafter. Bacterial taxa were identified with next generation sequencing using universal bacterial primers targeted at the 16S ribosomal DNA on a 454 Roche titanium platform. Sequences were clustered into operational taxonomic units, and taxonomy was assigned against the Greengenes databank using Quantitative Insights Into Microbial Ecology version 1.4. Quantitative polymerase chain reaction was used to determine the abundance of Bifidobacterium spp. Functional assessment of the microbiome was performed with Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt).ResultsAverage birth weight and gestational age were 1055 g and 28 weeks, respectively. There were 6 to 35 different bacterial families identified in the day-of-birth samples, unrelated to the mode of delivery. Richness decreased through hospitalization (week 1, 16.9 ± 7.7 vs weeks 3-5, 10.7 ± 3.4, P < 0.001). The Shannon diversity index demonstrated the lowest diversity at birth, an increase at week 2, followed by a rapid decline at weeks 3 to 5, suggesting the development of a more uniform microbiota composition after 2 weeks of stay at a neonatal intensive care unit. Enterobacteriaceae, Staphylococcaceae, and Enterococcaceae constituted the majority of the bacterial families. Bifidobacterium spp were infrequently detected at extremely low levels. PICRUSt analysis revealed the enhancement of peroxisome, PPAR, and adipocytokine signaling; plant-pathogen interaction; and aminobenzoate degradation pathways in week 1 samples.ConclusionsOur results suggest that although preterm infants have individualized microbiota that are detectable at birth, the differences decrease during the neonatal intensive care unit hospitalization with increasing prominence of pathogenic microbiota.

Dataset Information

Prioritization framework for improving the value of care for very low birth weight and very preterm infants.

Objective

Study design

Results

Conclusions

Publications

Prioritization framework for improving the value of care for very low birth weight and very preterm infants.

Similar Datasets

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