Adherence to treatment

Therapeutic adherence to medication in patients with acute coronary syndrome (PREV2CI).

   

Objective

  • Assess therapeutic adherence with the classic measures of primary and secondary adherence (PDC and persistence) in a population environment of routine clinical practice of patients of both sexes aged 35 years and over discharged alive from any hospital of the Valencian Health Agency with a primary diagnosis of ACS.
  • Assess the impact of non-adherence on the occurrence of clinical events.

 

If you want to obtain more information about this project, collaboration possibilities and any other query related to this, you can contact us here.

Adherence to treatment - Results
 

Adherence to Evidence-Based Therapies After Acute Coronary Syndrome: A Retrospective Population-Based Cohort Study Linking Hospital, Outpatient, and Pharmacy Health Information Systems in Valencia, Spain

  • Pharmacological secondary prevention in patients after an acute coronary syndrome (ACS) has contributed substantially to reductions in cardiovascular morbidity and mortality and, overall, has undergone important improvements in recent years. Nevertheless, there is still a considerable adherence gap and opportunity for improvement.
     
  • Results: The study cohort consisted of 7,462 patients. PDC75 was reached by 69.9% of patients taking antiplatelet agents, 43.3% taking beta-blockers, 45.4% taking angiotensin antagonists, and 58.8% taking statins. Approximately 18% of patients did not reach PDC75 with any treatment, while 47.6% did so for 3 or more therapeutic groups. Lower adherence was found in diagnoses other than myocardial infarction. Other factors associated with nonadherence were older age, women, having copayment, foreign born, and most comorbidities (except for hypertension and hyperlipidemia, which were inversely associated, and diabetes and peripheral disease, which were not significantly associated). Health care delivery areas showed certain variability in their performance on these adherence measures that remained after the adjustment for covariates, although confidence intervals overlapped except between areas at the extremes.
     
  • Conclusions: The proportion of fully adherent patients remains suboptimal, and important improvements are still possible in secondary prevention of ischemic heart disease. The combination of electronic health information systems may be very useful for monitoring adherence and evaluating the effectiveness of adherence and other quality improvement interventions.

Medication Adherence Patterns after Hospitalization for Coronary Heart Disease. A Population-Based Study Using Electronic Records and Group-Based Trajectory Models

  • To identify adherence patterns over time and their predictors for evidence-based medications used after hospitalization for coronary heart disease (CHD).
     
  • Results: We identified a maximum of 5 different adherence patterns: 1) Nearly-always adherent patients; 2) An early gap in adherence with a later recovery; 3) Brief gaps in medication use or occasional users; 4) A slow decline in adherence; and 5) A fast decline. These patterns represented variable proportions of patients, the descending trajectories being more frequent for the beta-blocker and ACEI/ARB cohorts (16% and 17%, respectively) than the antiplatelet and statin cohorts (10% and 8%, respectively). Predictors of poor or intermediate adherence patterns were having a main diagnosis of unstable angina or other forms of CHD vs. AMI in the index hospitalization, being born outside Spain, requiring copayment or being older.
     
  • Conclusions: Distinct adherence patterns over time and their predictors were identified. This may be a useful approach for targeting improvement interventions in patients with poor adherence patterns.

Assessing Concurrent Adherence to Combined Essential Medication and Clinical Outcomes in Patients With Acute Coronary Syndrome. A Population-Based, Real-World Study Using Group-Based Trajectory Models


Adherence to treatment
   

Funding

Department of Health of the Valencia Government [grant numbers 678/2007, 011/2011 and PCC-3/1] and the Spanish Health Economics Association (the 2012 Research grant in Health Economics and Health Services) and 2018 Health Outcomes Research Grant from Merck Health Foundation.