Validating methods used to identify non-adherence adverse drug events in Canadian administrative health data.
Maeve E WickhamKimberlyn M McGrailMichael R LawAmber CraggCorinne M HohlPublished in: British journal of clinical pharmacology (2024)
The methods used to identify non-adherence in administrative databases are not accurate when compared to a gold standard diagnosis by healthcare providers. Research that has relied on administrative data to identify non-adherent patients both underestimates the magnitude of the problem and may label patients as non-adherent who were in fact adherent.
Keyphrases
- healthcare
- end stage renal disease
- newly diagnosed
- ejection fraction
- adverse drug
- chronic kidney disease
- electronic health record
- prognostic factors
- peritoneal dialysis
- public health
- emergency department
- mental health
- machine learning
- patient reported outcomes
- adipose tissue
- metabolic syndrome
- health information
- social media
- health insurance
- data analysis