Evidence map›Paper›PMID 34674815›Full record

ArticleJournal of the American College of Cardiology2021

Improving Longitudinal Outcomes, Efficiency, and Equity in the Care of Patients With Congenital Heart Disease.

Brett R Anderson, Kacie Dragan, Sarah Crook, Joyce L Woo, Stephen Cook, Edward L Hannan, Jane W Newburger, Marshall Jacobs, Emile A Bacha, Robert Vincent and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American College of Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Measuring hospital care resilience: a systematic literature review.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Behaviour Concerns in Preschool Cardiac Surgery Survivors.CJC pediatric and congenital heart disease · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Brett R AndersonDivision of Pediatric Cardiology, NewYork-Presbyterian/Columbia University Irving Medical Center, New York, New York, USA. Electronic address: bra2113@cumc.columbia.edu.
Kacie DraganWagner Graduate School of Public Service, New York University, New York, New York, USA.
Sarah CrookDivision of Pediatric Cardiology, NewYork-Presbyterian/Columbia University Irving Medical Center, New York, New York, USA.
Joyce L WooAnn and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.
Stephen CookOffices of Health Insurance Programs, New York State Department of Health, Albany, New York, USA.
Edward L HannanSchool of Public Health, University at Albany, State University of New York, Rensselaer, New York, USA.
Jane W NewburgerDepartment of Pediatric Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.
Marshall JacobsDivision of Cardiac Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Emile A BachaDepartment of Cardiothoracic Surgery, NewYork-Presbyterian/Columbia University Irving Medical Center and Weill Cornell Medical Center, New York, New York, USA.
Robert VincentDivision of Pediatric Cardiology, Westchester Medical Center, Valhalla, New York, USA.
Khanh NguyenDepartment of Cardiac Surgery, Westchester Medical Center, Valhalla, New York, USA.
Kathleen Walsh-SpoonhowerDivision of Pediatric Cardiology, Stony Brook Children's Hospital, Stony Brook, New York, USA.
Ralph MoscaDepartment of Cardiothoracic Surgery, New York University, New York, New York, USA.
Neil DevejianDivision of Pediatric Cardiothoracic Surgery, Albany Medical College, Albany, New York, USA.
Steven A KamenirDivision of Pediatric Cardiology, Albany Medical College, Albany, New York, USA.
George M AlfierisDivision of Cardiac Surgery, University of Rochester Medical Center, Rochester, New York, USA; Department of Surgery, State University of New York Upstate Medical Center, Syracuse, New York, USA.
Michael F SwartzDivision of Cardiac Surgery, University of Rochester Medical Center, Rochester, New York, USA.
David MeyerDepartment of Cardiothoracic Surgery, Hofstra-Northwell School of Medicine, Uniondale, New York, USA; Department of Pediatrics, Hofstra-Northwell School of Medicine, Uniondale, New York, USA.
Erin A PaulDivision of Pediatric Cardiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
John BillingsWagner Graduate School of Public Service, New York University, New York, New York, USA.
New York State Congenital Heart Surgery Collaborative for Longitudinal Outcomes and Utilization of Resources (CHS-COLOUR)

Funding

Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI SCOTT Loren POMEROY, MUSTAFA SAHIN · 2021 to 2026
$9.4M
Health Policy Training Program: Promoting Outcomes, Quality, Equity and Diffusion of AdvancesT32MH019733 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Benjamin Le Cook, Haiden A Huskamp · 1993 to 2026
$7.0M
Linking State Medicaid and Congenital Heart Surgical Registry Data: Building Capacity to Assess Disparities in Longitudinal Outcomes and Value for Children with Congenital Heart DiseaseR01HL150044 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Brett Romeo Anderson · 2020 to 2026
$5.3M
NHLBI NIH HHS R01 HL150044NICHD NIH HHS P50 HD105351NIMH NIH HHS T32 MH019733
6 · The paper itself

Abstract

backgroundLongitudinal follow-up, resource utilization, and health disparities are top congenital heart research and care priorities. Medicaid claims include longitudinal data on inpatient, outpatient, emergency, pharmacy, rehabilitation, home health utilization, and social determinants of health-including mother-infant pairs.

objectivesThe New York Congenital Heart Surgeons Collaborative for Longitudinal Outcomes and Utilization of Resources linked robust clinical details from locally held state and national registries from 10 of 11 New York congenital heart centers to Medicaid claims, building a novel, statewide mechanism for longitudinal assessment of outcomes, expenditures, and health inequities.

methodsThe authors included all children <18 years of age undergoing cardiac surgery in The Society of Thoracic Surgeons Congenital Heart Surgery Database or the New York State Pediatric Congenital Cardiac Surgery Registry from 10 of 11 New York centers, 2006 to 2019. Data were linked via iterative, ranked deterministic matching on direct identifiers. Match rates were calculated and compared. Proportions of the linked cohort trackable over 3, 5, and 10 years were described.

resultsOf 14,097 registry cases, 59% (n = 8,322) reported Medicaid use. Of these, 7,414 were linked to New York claims, at an 89% match rate. Of matched cases, the authors tracked 79%, 74%, and 65% of children over 3, 5, and 10 years when requiring near-continuous Medicaid enrollment. Allowing more lenient enrollment criteria, the authors tracked 86%, 82%, and 76%, respectively. Mortality over this time was 7.7%, 8.4%, and 10.0%, respectively. Manual validation revealed ∼100% true matches.

conclusionsThis establishes a novel statewide data resource for assessment of longitudinal outcome, health expenditure, and disparities for children with congenital heart disease.

Indexed as

Health EquityAdolescentAlgorithmsChildChild, PreschoolEfficiencyFollow-Up StudiesHealthcare DisparitiesHealth Services AccessibilityHeart Defects, CongenitalHumansInfantInfant, NewbornInsurance Claim ReviewLongitudinal StudiesMedicaidcongenital heart surgerydisparitiesMedicaidoutcomesregistry

Identifiers

PMID34674815
PMCPMC8549867

What OpenQuestion holds

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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.