Evidence map›Paper›PMID 32769705›Full record

ArticlePediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies2020

Factors That Contribute to Cost Differences Based on ICU of Admission in Neonates Undergoing Congenital Heart Surgery: A Novel Decomposition Analysis.

Joyce T Johnson, Kirsen L Sullivan, Richard E Nelson, Xiaoming Sheng, Tom H Greene, David K Bailly, Aaron W Eckhauser, Bradley S Marino, L LuAnn Minich, Nelangi M Pinto

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Joyce T JohnsonDivision of Pediatric Cardiology, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL.
Kirsen L SullivanDepartment of Statistics, Purdue University, West Lafayette, IN.
Richard E NelsonDivision of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT.
Xiaoming ShengDivision of Biostatistics, University of Utah School of Medicine, Salt Lake City, UT.
Tom H GreeneDivision of Biostatistics, University of Utah School of Medicine, Salt Lake City, UT.
David K BaillyDivision of Pediatric Critical Care Medicine, Primary Children's Hospital, University of Utah School of Medicine, Salt Lake City, UT.
Aaron W EckhauserDivision of Pediatric Cardiovascular Surgery, Primary Children's Hospital, University of Utah School of Medicine, Salt Lake City, UT.
Bradley S MarinoDivision of Pediatric Cardiology, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL.
L LuAnn MinichDivision of Pediatric Cardiology, Primary Children's Hospital, University of Utah School of Medicine, Salt Lake City, UT.
Nelangi M PintoDivision of Pediatric Cardiology, Primary Children's Hospital, University of Utah School of Medicine, Salt Lake City, UT.
University of Utah · USNorthwestern University · USPurdue University West Lafayette · US

Funding

University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
NCATS NIH HHS UL1 TR001067
6 · The paper itself

Abstract

objectivesWe leveraged decomposition analysis, commonly used in labor economics, to understand determinants of cost differences related to location of admission in children undergoing neonatal congenital heart surgery.

designA retrospective cohort study.

settingPediatric Health Information Systems database. PATIENTS: Neonates (<30 d old) undergoing their index congenital heart surgery between 2004 and 2013. MEASUREMENTS AND MAIN

resultsA decomposition analysis with bootstrapping determined characteristic (explainable by differing covariate levels) and structural effects (if covariates are held constant) related to cost differences. Covariates included center volume, age at admission, prematurity, sex, race, genetic or major noncardiac abnormality, Risk Adjustment for Congenital Heart Surgery-1 score, payor, admission year, cardiac arrest, infection, and delayed sternal closure.Of 19,984 infants included (10,491 [52%] to cardiac ICU/PICU and 9,493 [48%] to neonatal ICU), admission to the neonatal ICU had overall higher average costs ($24,959 ± $3,260; p < 0.001) versus cardiac ICU/PICU admission. Characteristic effects accounted for higher costs in the neonatal ICU ($28,958 ± $2,044; p < 0.001). Differing levels of prematurity, genetic syndromes, hospital volume, age at admission, and infection contributed to higher neonatal ICU costs, with infection rate providing the most significant contribution ($13,581; p < 0.001). Aggregate structural effects were not associated with cost differences for those admitted to the neonatal ICU versus cardiac ICU/PICU (p = 0.1). Individually, prematurity and age at admission were associated with higher costs due to structural effects for infants admitted to the neonatal ICU versus cardiac ICU/PICU.

conclusionsThe difference in cost between neonatal ICU and cardiac ICU/PICU admissions is largely driven by differing prevalence of risk factors between these units. Infection rate was a modifiable factor that accounted for the largest difference in costs between admitting units.

Indexed as

Heart ArrestHeart Defects, CongenitalChildHospitalizationHumansInfantInfant, NewbornIntensive Care Units, PediatricRetrospective Studies

Identifiers

PMID32769705
PMCPMC7968580
OpenAlexW3047259224

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.