AI Article Synopsis

  • * Researchers analyzed data from 56,357 Veteran Affairs patients from 2012 to 2018, finding that 20.7% were non-adherent before PCI, with this group more likely to be younger and present non-electively.
  • * Findings indicate that past non-adherence adversely affects future medication adherence and increases mortality risk, suggesting that tracking pharmacy data can help identify high-risk patients and enhance adherence interventions.

Article Abstract

Objective: Adherence to anti-platelet medications is critical following coronary stenting, but prior studies indicate that clinician assessment and patient self-assessment of adherence are poorly correlated with future medication-taking behavior. We therefore sought to determine if integrated pharmacy data can be used to identify patients at high risk of non-adherence after percutaneous coronary interventions (PCI).

Methods: Using Veteran Affairs (VA) Clinical Assessment, Reporting, and Tracking (CART) data linked with pharmacy records, we assessed adherence to cardiovascular medications from 2012 to 2018. Adherence was defined as the proportion of days covered (PDC) ≥ 0.80. We assessed the association of pre-PCI adherence with post-PCI adherence to P2Y inhibitors and clinical outcomes using logistic regression and Cox proportional hazard models, respectively.

Results: Among 56,357 patients, 66.0% filled at least 1 cardiovascular medication within VA for the year prior to PCI and were evaluable for adherence. Pre-PCI non-adherence was 20.7%, and non-adherent patients were more likely to be younger and present non-electively. Non-adherent patients were less likely to adhere to P2Y inhibitor therapy after PCI (Adjusted OR 0.45 C.I. 0.41-0.46), compared with adherent patients, and had a higher adjusted risk of mortality (HR 1.17 C.I. 1.03-1.33).

Conclusion: Adherence to cardiovascular medications prior to PCI can be assessed for most patients using pharmacy data, and past adherence is associated with future adherence and mortality after PCI. Use of integrated pharmacy data to identify high-risk patients could improve outcomes and cost-effectiveness of adherence interventions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629403PMC
http://dx.doi.org/10.2147/PPA.S431183DOI Listing

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