Evidence map›Paper›PMID 32105714›Full record

ArticleThe Annals of thoracic surgery2020

Estimating Resource Utilization in Congenital Heart Surgery.

Sara K Pasquali, Karen Chiswell, Matt Hall, Dylan Thibault, Jennifer C Romano, J William Gaynor, David M Shahian, Marshall L Jacobs, Michael G Gaies, Sean M O'Brien and 7 more

Abstract readMulticenter Study
In one paragraph

Article in The Annals of thoracic surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Sara K PasqualiDepartment of Pediatrics, University of Michigan C.S. Mott Children's Hospital, Ann Arbor, Michigan. Electronic address: pasquali@med.umich.edu.
Karen ChiswellDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.
Matt HallChildren's Hospital Association, Lenexa, Kansas.
Dylan ThibaultDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.
Jennifer C RomanoDepartment of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, Michigan.
J William GaynorDepartment of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
David M ShahianDepartment of Surgery, Division of Cardiac Surgery and Center for Quality and Safety, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Marshall L JacobsDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Michael G GaiesDepartment of Pediatrics, University of Michigan C.S. Mott Children's Hospital, Ann Arbor, Michigan.
Sean M O'BrienDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.
Edward C NortonDepartment of Health Management and Policy, Department of Economics, University of Michigan, Ann Arbor, Michigan.
Kevin D HillDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.
Patricia A CowperDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.
Nelangi M PintoDepartment of Pediatrics, University of Utah, Salt Lake City, Utah.
Samir S ShahDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
John E MayerDepartment of Cardiovascular Surgery, Boston Children's Hospital, Boston, Massachusetts.
Jeffrey P JacobsSaint Petersburg, Florida.

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Understanding Quality and Costs in Congenital Heart SurgeryR01HL122261 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PASQUALI, SARA · 2014 to 2019
$2.8M
NCATS NIH HHS UL1 TR002538NHLBI NIH HHS R01 HL122261
6 · The paper itself

Abstract

backgroundOptimal methods to assess resource utilization in congenital heart surgery remain unclear. We compared traditional cost-to-charge ratio methods with newer standardized cost methods that aim to more directly assess resources consumed.

methodsClinical data from The Society of Thoracic Surgeons Database were linked with resource use data from the Pediatric Health Information Systems Database (2010 to 2015). Standardized cost methods specific to the congenital heart surgery population were developed and compared with cost-to-charge ratio methods. Resource use in the overall population and variability across hospitals were described using hierarchical mixed effect models adjusting for case-mix.

resultsOverall, 43 hospitals (65,331 patients) were included. There were minimal population-level differences in the distribution of resource use as estimated by the two methods. At the hospital level, there was less apparent variability in resource use across centers with the standardized cost vs cost-to-charge ratio method, overall (coefficient of variation 20% vs 25%) and across complexity (The Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery [STAT]) categories. When hospitals were categorized into tertiles by resource use, 33% changed classification depending on which resource use method was used (26% by one tertile and 7% by two tertiles).

conclusionsIn this first evaluation of standardized cost methodology in the congenital heart population, we found minimal differences vs traditional methods at the population level. At the hospital level, the magnitude of variation in resource use was less with standardized cost methods, and approximately one third of centers changed resource use categories depending on the methodology used. Because of these differences, care should be taken in future studies and in benchmarking and reporting efforts in selecting optimal methodology.

Indexed as

RegistriesCardiac Surgical ProceduresChild, PreschoolFemaleHealth ResourcesHeart Defects, CongenitalHumansInfantMaleOutcome Assessment, Health CareUnited States

Identifiers

PMID32105714
PMCPMC8237745

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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.