Comparison of identifiable and non-identifiable data linkage: health technology assessment of MitraClip using registry, administrative and mortality datasets.
Kim KeltiePaola CognigniSam GrossSamuel G UrwinJulie BurnHelen ColeLee BerryHannah PatrickAndrew J SimsPublished in: BMJ health & care informatics (2021)
Patients from a bespoke clinical procedural registry were matched to routine administrative data using identifiable and non-identifiable methods with equivalent matching success rates, similar baseline characteristics and similar 2-year outcomes.
Keyphrases
- end stage renal disease
- electronic health record
- healthcare
- chronic kidney disease
- ejection fraction
- public health
- newly diagnosed
- big data
- mitral valve
- peritoneal dialysis
- mental health
- heart failure
- cardiovascular events
- type diabetes
- risk factors
- gene expression
- adipose tissue
- hepatitis c virus
- left ventricular
- cardiovascular disease
- machine learning
- weight loss
- data analysis
- atrial fibrillation
- climate change
- single cell
- patient reported
- clinical evaluation
- health promotion