Linking clinical registry data with administrative data using indirect identifiers: implementation and validation in the congenital heart surgery population.

[1]  M. Jacobs,et al.  Center variation and outcomes associated with delayed sternal closure after stage 1 palliation for hypoplastic left heart syndrome. , 2010, The Journal of thoracic and cardiovascular surgery.

[2]  G. Fonarow,et al.  Relationships between emerging measures of heart failure processes of care and clinical outcomes. , 2010, American heart journal.

[3]  Jennifer S. Li,et al.  Center Variation and Outcomes Associated with Delayed Sternal Closure Following Stage 1 Palliation for Hypoplastic Left Heart Syndrome , 2010 .

[4]  Sean M. O'Brien,et al.  An empirically based tool for analyzing mortality associated with congenital heart surgery. , 2009, The Journal of thoracic and cardiovascular surgery.

[5]  Adrian F Hernandez,et al.  Linking inpatient clinical registry data to Medicare claims data using indirect identifiers. , 2009, American heart journal.

[6]  David Shahian,et al.  Regulatory and ethical considerations for linking clinical and administrative databases. , 2009, American heart journal.

[7]  Eric L Eisenstein,et al.  Clinical effectiveness of coronary stents in elderly persons: results from 262,700 Medicare patients in the American College of Cardiology-National Cardiovascular Data Registry. , 2009, Journal of the American College of Cardiology.

[8]  B. Diggs,et al.  National Practice Patterns for Management of Adult Congenital Heart Disease: Operation By Pediatric Heart Surgeons Decreases In-Hospital Death , 2008, Circulation.

[9]  Robert H. Anderson,et al.  Nomenclature for congenital and paediatric cardiac disease: Historical perspectives and The International Pediatric and Congenital Cardiac Code , 2008, Cardiology in the Young.

[10]  R. Franklin,et al.  Verification of data in congenital cardiac surgery , 2008, Cardiology in the Young.

[11]  M. Jacobs,et al.  The importance of nomenclature for congenital cardiac disease: implications for research and evaluation , 2008, Cardiology in the Young.

[12]  J. Mayer,et al.  The rationale for incorporation of HIPAA compliant unique patient, surgeon, and hospital identifier fields in the STS database. , 2008, The Annals of thoracic surgery.

[13]  V. Hasselblad,et al.  Pediatric Antihypertensive Trial Failures: Analysis of End Points and Dose Range , 2008, Hypertension.

[14]  Sean M. O'Brien,et al.  Cardiac surgery in infants with low birth weight is associated with increased mortality: analysis of the Society of Thoracic Surgeons Congenital Heart Database. , 2008, The Journal of thoracic and cardiovascular surgery.

[15]  R. Ohye,et al.  Hospital Mortality for Norwood and Arterial Switch Operations as a Function of Institutional Volume , 2008, Pediatric Cardiology.

[16]  Johannes B Reitsma,et al.  Probabilistic record linkage is a valid and transparent tool to combine databases without a patient identification number. , 2007, Journal of clinical epidemiology.

[17]  M. Jacobs,et al.  Report of the 2005 STS Congenital Heart Surgery Practice and Manpower Survey. , 2006, The Annals of thoracic surgery.

[18]  C. Newgard.  Validation of probabilistic linkage to match de-identified ambulance records to a state trauma registry. , 2005, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[19]  C. Cronk,et al.  Completeness of state administrative databases for surveillance of congenital heart disease. , 2003, Birth defects research. Part A, Clinical and molecular teratology.

[20]  S. Sanders.  Conducting pediatric cardiovascular trials. Introduction. , 2001, American heart journal.