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Novel linkage of the Society of Thoracic Surgeons database and hospital electronic health records

Published online by Cambridge University Press:  08 October 2024

Christopher A. Atkins*
Affiliation:
Division of Cardiology, Department of Pediatrics, Duke University Medical Center, Durham, NC, USA
Joseph R. Nellis
Affiliation:
Division of Cardiovascular and Thoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, NC, USA
Andrew M. Vekstein
Affiliation:
Division of Cardiovascular and Thoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, NC, USA
Alfred D’Ottavio
Affiliation:
Duke Clinical Research Institute, Durham, NC, USA
Jesse M. DeLaRosa
Affiliation:
Duke Clinical Research Institute, Durham, NC, USA
Karen Chiswell
Affiliation:
Duke Clinical Research Institute, Durham, NC, USA
Joseph W. Turek
Affiliation:
Division of Cardiovascular and Thoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, NC, USA
Ziv Beckerman
Affiliation:
Division of Cardiovascular and Thoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, NC, USA
Cheryl Raskind Hood
Affiliation:
Emory Rollins School of Public Health, Department of Epidemiology, Atlanta, Georgia
Wendy M. Book
Affiliation:
Emory Rollins School of Public Health, Department of Epidemiology, Atlanta, Georgia Emory School of Medicine, Division of Cardiology, Atlanta, Georgia
Timothy M. Hoffman
Affiliation:
Division of Cardiology, Department of Pediatrics, UNC School of Medicine, Chapel Hill, NC, USA
Robert J. Hartman
Affiliation:
Division of Cardiology, Department of Pediatrics, UNC School of Medicine, Chapel Hill, NC, USA
Michael Walsh
Affiliation:
Division of Cardiology, Department of Pediatrics, Wake Forest Baptist Health, Winston-Salem, NC, USA
Jennifer S. Li
Affiliation:
Division of Cardiology, Department of Pediatrics, Duke University Medical Center, Durham, NC, USA
Karl F. Welke
Affiliation:
Congenital Heart Center, Atrium Health Levine Children’s Hospital, Charlotte, NC, USA
*
Corresponding author: Christopher A. Atkins; Email: christopher.atkins@duke.edu
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Abstract

Background:

Society of Thoracic Surgeons Congenital Heart Surgery Database is the largest congenital heart surgery database worldwide but does not provide information beyond primary episode of care. Linkage to hospital electronic health records would capture complications and comorbidities along with long-term outcomes for patients with CHD surgeries. The current study explores linkage success between Society of Thoracic Surgeons Congenital Heart Surgery Database and electronic health record data in North Carolina and Georgia.

Methods:

The Society of Thoracic Surgeons Congenital Heart Surgery Database was linked to hospital electronic health records from four North Carolina congenital heart surgery using indirect identifiers like date of birth, sex, admission, and discharge dates, from 2008 to 2013. Indirect linkage was performed at the admissions level and compared to two other linkages using a “direct identifier,” medical record number: (1) linkage between Society of Thoracic Surgeons Congenital Heart Surgery Database and electronic health records from a subset of patients from one North Carolina institution and (2) linkage between Society of Thoracic Surgeons data from two Georgia facilities and Georgia’s CHD repository, which also uses direct identifiers for linkage.

Results:

Indirect identifiers successfully linked 79% (3692/4685) of Society of Thoracic Surgeons Congenital Heart Surgery Database admissions across four North Carolina hospitals. Direct linkage techniques successfully matched Society of Thoracic Surgeons Congenital Heart Surgery Database to 90.2% of electronic health records from the North Carolina subsample. Linkage between Society of Thoracic Surgeons and Georgia’s CHD repository was 99.5% (7,544/7,585).

Conclusions:

Linkage methodology was successfully demonstrated between surgical data and hospital-based electronic health records in North Carolina and Georgia, uniting granular procedural details with clinical, developmental, and economic data. Indirect identifiers linked most patients, consistent with similar linkages in adult populations. Future directions include applying these linkage techniques with other data sources and exploring long-term outcomes in linked populations.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1. Indirect linkage success across four North Carolina institutions in Society of Thoracic Surgeons Congenital Heart Surgery Database by year. All eligible admissions in the Society of Thoracic Surgeons Congenital Heart Surgery Database were linked via indirect identifiers to hospital electronic health record. The percentage of successfully linked admissions was steady across the study period, with 77% of admissions at all sites linked in 2008 compared to 76% in 2013. Linkage success increased at Hospital 3 (75% in 2008 to 89% in 2013) and Hospital 1 (81% in 2008 to 84% in 2013).

Figure 1

Table 1. Specific operation stratified by success of linkage by indirect identifiers at four North Carolina hospitals (in descending order of linkage success)

Figure 2

Table 2. Patient characteristics stratified by success of linkage by indirect identifiers at four North Carolina hospitals

Figure 3

Table 3. Society of Thoracic Surgeons operative outcomes stratified by success of linkage by indirect identifiers at four North Carolina hospitals