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Linkage of the CF foundation patient registry with the pediatric health information system database
Jonathan D Cogen1, Matt Hall2, Deena R Loeffler3
1Division of Pulmonary & Sleep Medicine, Department of Pediatrics, University of Washington, Seattle, Washington.
Insights
Linking the Cystic Fibrosis Foundation Patient Registry (CFFPR) with the Pediatric Health Information System (PHIS) created a large, generalizable dataset for pediatric cystic fibrosis (CF) research. This combined data enhances understanding of in-hospital CF care.
Area of Science:
- Biomedical Informatics
- Pediatric Pulmonology
- Data Science
Background:
- The Cystic Fibrosis Foundation Patient Registry (CFFPR) lacks comprehensive inpatient data.
- The Pediatric Health Information System (PHIS) contains valuable inpatient data from children's hospitals.
- Integrating CFFPR and PHIS data can address critical research gaps in pediatric cystic fibrosis (CF) care.
Purpose of the Study:
- To assess the feasibility of linking the CFFPR and PHIS databases.
- To create a robust, linked dataset for pediatric CF research.
- To determine the generalizability of linked CF patient data.
Main Methods:
- Patient-level linkage of CFFPR and PHIS databases using indirect identifiers.
- A stepwise, deterministic linkage approach was employed.
- Validation cohort established for accuracy assessment and generalizability analysis.
Main Results:
- Successfully linked 91% (10,660/11,735) of eligible pediatric CF patients.
- Achieved 100% accuracy in a single-center validation cohort.
- Linked cohort showed minor demographic differences (birth year, ethnicity, hospital affiliation) compared to unlinked patients, but remained largely generalizable.
Conclusions:
- Demonstrated successful linkage of CFFPR and PHIS databases.
- Created a large, generalizable pediatric CF cohort.
- The linked dataset is suitable for advancing CF-related research, particularly on in-hospital treatment and management.
Introduction:
The Cystic Fibrosis Foundation Patient Registry (CFFPR) contains clinical and demographic data from ∼85% of US cystic fibrosis (CF) patients across 120 care centers, but lacks robust inpatient hospitalization data. In contrast, the Pediatric Health Information System (PHIS) database includes inpatient clinical and resource utilization data from 49 US children's hospitals. The creation of a linked CFFPR-PHIS dataset can uniquely address questions related to in-hospital pediatric CF treatment and management. We assessed the feasibility of linking the CFFPR and PHIS databases and determined if successfully linked CF patients were generalizable to unlinked patients.
Methods:
CF patients ≤21 years were eligible for linkage. The CFFPR and PHIS databases were linked at the patient level using indirect identifiers in a stepwise, deterministic, linkage approach. A validation cohort was created using a subset of patients to determine linkage accuracy. Clinical and demographic characteristics between linked and unlinked patients were compared to determine generalizability of the linked cohort.
Results:
Of the 11 735 CF patients eligible for linkage from January 1st, 2005 through December 31st, 2016, 10 660 (91%) were successfully linked. Results of our single center validation cohort illustrated 100% accuracy. When compared to unlinked CF patients, fewer linked patients were born before 1990, more were Hispanic, and more were from West-affiliated PHIS hospitals. Otherwise, no clinically meaningful differences were seen between linked and unlinked CF patients.
Conclusions:
We demonstrated successful linkage of the CFFPR and PHIS databases, and created a large generalizable pediatric CF cohort for use in CF-related research.
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