Measuring hospital performance in congenital heart surgery: administrative versus clinical registry data
- PMID: 25624057
- PMCID: PMC4707956
- DOI: 10.1016/j.athoracsur.2014.10.069
Measuring hospital performance in congenital heart surgery: administrative versus clinical registry data
Abstract
Background: In congenital heart surgery, hospital performance has historically been assessed using widely available administrative data sets. Recent studies have demonstrated inaccuracies in case ascertainment (coding and inclusion of eligible cases) in administrative versus clinical registry data; however, it is unclear whether this impacts assessment of performance on a hospital level.
Methods: Merged data from The Society of Thoracic Surgeons (STS) database (clinical registry) and the Pediatric Health Information Systems (PHIS) database (administrative data set) for 46,056 children undergoing cardiac operations (2006-2010) were used to evaluate in-hospital mortality for 33 hospitals based on their administrative versus registry data. Standard methods to identify/classify cases were used: Risk Adjustment in Congenital Heart Surgery, version 1 (RACHS-1) in the administrative data and STS-European Association for Cardiothoracic Surgery (STAT) methodology in the registry.
Results: Median hospital surgical volume based on the registry data was 269 cases per year; mortality was 2.9%. Hospital volumes and mortality rates based on the administrative data were on average 10.7% and 4.7% lower, respectively, although this varied widely across hospitals. Hospital rankings for mortality based on the administrative versus registry data differed by 5 or more rank positions for 24% of hospitals, with a change in mortality tertile classification (high, middle, or low mortality) for 18% and a change in statistical outlier classification for 12%. Higher volume/complexity hospitals were most impacted. Agency for Healthcare Quality and Research (AHRQ) methods in the administrative data yielded similar results.
Conclusions: Inaccuracies in case ascertainment in administrative versus clinical registry data can lead to important differences in assessment of hospital mortality rates for congenital heart surgery.
Copyright © 2015 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.
Figures
Similar articles
-
Risk Stratification for Congenital Heart Surgery for ICD-10 Administrative Data (RACHS-2).J Am Coll Cardiol. 2022 Feb 8;79(5):465-478. doi: 10.1016/j.jacc.2021.11.036. J Am Coll Cardiol. 2022. PMID: 35115103 Free PMC article.
-
Differential case ascertainment in clinical registry versus administrative data and impact on outcomes assessment for pediatric cardiac operations.Ann Thorac Surg. 2013 Jan;95(1):197-203. doi: 10.1016/j.athoracsur.2012.08.074. Epub 2012 Nov 7. Ann Thorac Surg. 2013. PMID: 23141907 Free PMC article.
-
Comparison of pediatric cardiac surgical mortality rates from national administrative data to contemporary clinical standards.Ann Thorac Surg. 2009 Jan;87(1):216-22; discussion 222-3. doi: 10.1016/j.athoracsur.2008.10.032. Ann Thorac Surg. 2009. PMID: 19101301
-
Nomenclature and databases - the past, the present, and the future : a primer for the congenital heart surgeon.Pediatr Cardiol. 2007 Mar-Apr;28(2):105-15. doi: 10.1007/s00246-006-1447-4. Epub 2007 May 4. Pediatr Cardiol. 2007. PMID: 17486390 Review.
-
Analysis of outcomes for congenital cardiac disease: can we do better?Cardiol Young. 2007 Sep;17 Suppl 2:145-58. doi: 10.1017/S1047951107001278. Cardiol Young. 2007. PMID: 18039408 Review.
Cited by
-
Racial and Ethnic Variation in ECMO Utilization and Outcomes in Pediatric Cardiac ICU Patients.JACC Adv. 2023 Oct 6;2(9):100634. doi: 10.1016/j.jacadv.2023.100634. eCollection 2023 Nov. JACC Adv. 2023. PMID: 38938717 Free PMC article.
-
Risk Stratification for Congenital Heart Surgery for ICD-10 Administrative Data (RACHS-2).J Am Coll Cardiol. 2022 Feb 8;79(5):465-478. doi: 10.1016/j.jacc.2021.11.036. J Am Coll Cardiol. 2022. PMID: 35115103 Free PMC article.
-
Pulse Oximetry Screening Has Not Changed Timing of Diagnosis or Mortality of Critical Congenital Heart Disease.Pediatr Cardiol. 2020 Jun;41(5):899-904. doi: 10.1007/s00246-020-02330-1. Epub 2020 Feb 27. Pediatr Cardiol. 2020. PMID: 32107587 Free PMC article.
-
Pediatric Intensive Care Databases for Quality Improvement.J Pediatr Intensive Care. 2016 Sep;5(3):81-88. doi: 10.1055/s-0035-1568146. Epub 2015 Nov 30. J Pediatr Intensive Care. 2016. PMID: 31110890 Free PMC article. Review.
-
Hospital Costs Related to Early Extubation After Infant Cardiac Surgery.Ann Thorac Surg. 2019 May;107(5):1421-1426. doi: 10.1016/j.athoracsur.2018.10.019. Epub 2018 Nov 17. Ann Thorac Surg. 2019. PMID: 30458158 Free PMC article.
References
-
- Hospital Compare. [Accessed 1/9/2014]; Available at: www.hospitalcompare.hhs.gov.
-
- OptumHealth Congenital Heart Disease Center of Excellence. [Accessed 1/9/2014]; Available at: https://www.myoptumhealthcomplexmedical.com/gateway/public/chd/providers....
-
- Prager RL, Armenti FR, Bassett JS, et al. Cardiac Surgeons and the Quality Movement: the Michigan Experience. Semin Thorac Cardiovasc Surg. 2009;21:20–27. - PubMed
-
- Kugler JD, Beekman RH, Rosenthal GL, et al. Development of a pediatric cardiology quality improvement collaborative: From inception to implementation. From the Joint Council on Congenital Heart Disease Quality Improvement Task Force Congenit Heart Dis. 2009;4:318–328. - PubMed
-
- Agency for Healthcare Research and Quality. [Accessed 1/9/2014];Pediatric Quality Indicators. Available at: http://www.qualityindicators.ahrq.gov/Modules/PDI_TechSpec.aspx.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
