Evidence map›Paper›PMID 33774056›Full record

ArticleThe Journal of pediatrics2021

Influence of Geographic Access on Surgical Center Readmissions After Index Congenital Heart Surgery.

Nelangi M Pinto, L LuAnn Minich, Minkyoung Yoo, Alisha Floyd, Jacob Wilkes, James VanDerslice, Melissa Yamauchi, Richard Nelson

Open access · greenAbstract read
In one paragraph

Article in The Journal of pediatrics, 2021. 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
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
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

8 authors at 2 institutions in 1 country.

Nelangi M PintoDivision of Pediatric Cardiology, Department of Pediatrics, University of Utah, Salt Lake City, UT. Electronic address: nelangi.pinto@hsc.utah.edu.
L LuAnn MinichDivision of Pediatric Cardiology, Department of Pediatrics, University of Utah, Salt Lake City, UT.
Minkyoung YooDepartment of Economics and Center for Clinical and Translational Science, University of Utah, Salt Lake City, UT.
Alisha FloydDivision of Pediatric Cardiology, Department of Pediatrics, University of Utah, Salt Lake City, UT.
Jacob WilkesDepartment of Pediatric Analytics, Intermountain Healthcare, Salt Lake City, UT.
James VanDersliceDivision of Public Health, Department of Family and Preventative Medicine, University of Utah, Salt Lake City, UT.
Melissa YamauchiDivision of Pediatric Cardiology, Department of Pediatrics, University of Utah, Salt Lake City, UT.
Richard NelsonDivision of Epidemiology, Department of Internal Medicine and Center for Clinical and Translational Science, University of Utah, Salt Lake City, UT.
University of Utah · USIntermountain Healthcare · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
UNIVERSITY OF UTAH CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE-UL1: BPCAUL1RR025764 · NCRR · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2008 to 2011
$19.4M
University of Utah Center for Clinical and Translational Science-UL1UL1TR000105 · NCATS · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2012 to 2013
$5.1M
NCATS NIH HHS UL1 TR000105NCATS NIH HHS UL1 TR001067NCATS NIH HHS UL1 TR002538NCRR NIH HHS UL1 RR025764
6 · The paper itself

Abstract

objectiveTo assess the impact of geographic access to surgical center on readmission risk and burden in children after congenital heart surgery. STUDY

designChildren <6 years old at discharge after congenital heart surgery (Risk Adjustment for Congenital Heart Surgery-1 score 2-6) were identified using Pediatric Health Information System data (46 hospitals, 2004-2015). Residential distance from the surgery center, calculated using ZIP code centroids, was categorized as <15, 15-29, 30-59, 60-119, and ≥120 miles. Rurality was defined using rural-urban commuting area codes. Geographic risk factors for unplanned readmissions to the surgical center and associated burden (total hospital length of stay [LOS], costs, and complications) were analyzed using multivariable regression.

resultsAmong 59 696 eligible children, 19 355 (32%) had ≥1 unplanned readmission. The median LOS was 9 days (IQR 22) across the entire cohort. In those readmitted, median total costs were $31 559 (IQR $90 176). Distance from the center was inversely related but rurality was positively related to readmission risk. Among those readmitted, increased distance was associated with longer LOS, more complications, and greater costs. Compared with urban patients, highly rural patients were more likely to have an unplanned readmission but had fewer average readmission days.

conclusionsGeographic measures of access differentially affect readmission to the surgery center. Increased distance from the center was associated with fewer unplanned readmissions but more complications. Among those readmitted, the most isolated patients had the greatest readmission costs. Understanding the contribution of geographic access will aid in developing strategies to improve care delivery to this population.

Indexed as

ChildChild, PreschoolFemaleHealth Care CostsHealth Services AccessibilityHeart Defects, CongenitalHospitals, PediatricHumansInfantInfant, NewbornLongitudinal StudiesMalePatient ReadmissionRegression AnalysisRetrospective StudiesRural Health

Identifiers

PMID33774056
PMCPMC8981557
OpenAlexW3137099030

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.