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Comparison of medication adherence measures derived from linked administrative data and associations with mortality using restricted cubic splines in heart failure patients.

Xiwen QinJoseph HungMatthew W KnuimanTom G BriffaTiew-Hwa Katherine TengFrank M Sanfilippo
Published in: Pharmacoepidemiology and drug safety (2020)
Proportion of days covered calculated from administrative drug data provides a more conservative estimate of adherence than MPR or MPRm and was the most consistent predictor of subsequent mortality in an HF cohort using RCS analysis.
Keyphrases
  • cardiovascular events
  • electronic health record
  • big data
  • risk factors
  • ejection fraction
  • data analysis
  • coronary artery disease
  • heart failure
  • machine learning
  • artificial intelligence
  • deep learning