A concept‐wide association study to identify potential risk factors for nonadherence among prevalent users of antihypertensives. Issue 10 (16th July 2019)

• Record Type: Journal Article
• Authors: Singh, Karandeep; Choudhry, Niteesh K.; Krumme, Alexis A.; McKay, Caroline; McElwee, Newell E.; Kimura, Joe; Franklin, Jessica M.
• Is Part Of: Pharmacoepidemiology and drug safety. Volume 28:Issue 10(2019)
• Page Start: 1299
• Page End: 1308
• Publication Date: 2019-07-16
• Subjects: electronic health record -- hypertension -- medications -- nonadherence -- pharmacoepidemiology; Pharmacoepidemiology -- Periodicals; Chemotherapy -- Periodicals; Epidemiology -- Periodicals; 615.705
• DOI: 10.1002/pds.4850
• Languages: English
• ISSNs: 1053-8569

Abstract

Abstract: Purpose: We sought to determine whether an association study using information contained in clinical notes could identify known and potentially novel risk factors for nonadherence to antihypertensive medications. Methods: We conducted a retrospective concept‐wide association study (CWAS) using clinical notes to identify potential risk factors for medication nonadherence, adjusting for age, sex, race, baseline blood pressure, estimated glomerular filtration rate, and a combined comorbidity score. Participants included Medicare beneficiaries 65 years and older receiving care at the Harvard Vanguard Medical Associates network from 2010‐2012 and enrolled in a Medicare Advantage program. Concepts were extracted from clinical notes in the year prior to the index prescription date for each patient. We tested associations with the outcome for 5013 concepts extracted from clinical notes in a derivation cohort (4382 patients) and accounted for multiple hypothesis testing by using a false discovery rate threshold of less than 5% ( q < .05). We then confirmed the associations in a validation cohort (3836 patients). Medication nonadherence was defined using a proportion of days covered (PDC) threshold less than 0.8 using pharmacy claims data. Results: We found 415 concepts associated with nonadherence, which we organized into 11 clusters using a hierarchical clustering approach. Volume depletion and overload, assessment of needs at the point of discharge, mood disorders, neurological disorders, complex coordination of care, and documentation of noncompliance were some of the factors associated with nonadherence. Conclusions: This approach was successful in identifying previously described and potentially new risk factors for antihypertensive nonadherence using the clinical narrative.