Improving ACEI/ARB Adherence Among Nonadherent Patients Using Motivational Interviewing Intervention

Author(s)

Mohan A1, Majd Z1, Johnson ML2, Essien EJ3, Barner JC4, Serna O5, Gallardo E5, Fleming M6, Ordonez N1, Holstad M7, Abughosh SM1
1College of Pharmacy, University of Houston, Houston, TX, USA, 2University of Houston, College of Pharmacy, Houston, TX, USA, 3University of Houston, Houston, TX, USA, 4The University of Texas at Austin, Austin, TX, USA, 5CareAllies, Houston, TX, USA, 6Chapman University, Irvine, CA, USA, 7Emory University, Atlanta, GA, USA

Presentation Documents

OBJECTIVES: Angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin II receptor blockers (ARBs) are recommended for patients with comorbid diabetes mellitus and hypertension due to their favorable impact on microvascular and macrovascular events, cardiovascular outcomes, and mortality. Poor adherence to ACEI/ARB is a major public health concern. Motivational interviewing (MI) intervention is an effective patient-centered approach to improve adherence. The objective of this study was to evaluate the effectiveness of a telephonic MI intervention conducted by pharmacy students, tailored by the past ACEI/ARB adherence trajectories among nonadherent patients with comorbid diabetes mellitus and hypertension.

METHODS: Patients continuously enrolled in a Medicare Advantage Plan from July 2017-July 2021 with an ACEI/ARB prescription between July 2017-December 2017 were identified. Group-based trajectory modeling (GBTM) was used to identify 4 distinct patterns of ACEI/ARB adherence: adherent, gaps in adherence, gradual decline, and rapid decline in adherence. Patients from the 3 nonadherent trajectories were randomized either into MI intervention or control group. The intervention group received an initial call followed by 5 follow-up calls. The primary outcome was adherence measured as proportion of days covered (PDC) ≥ 0.80 for 1-year post-MI implementation. Multivariable logistic regression model evaluated the effect of the intervention on ACEI/ARB adherence.

RESULTS: This study included 240 patients who received intervention and 480 randomly selected controls. Patients who had received ≥ 4 calls were more likely to be adherent than those who received ≤ 3 follow-up calls (OR=2.01; P=0.01) despite the gaps in follow-up calls due to the COVID-19 outbreak. Other significant predictors of adherence were baseline adherence trajectories, number of other medications on the index date, prevalent users, regimen complexity, and CMS risk score.

CONCLUSIONS: At 1 year, patients who received ≥ 4 calls had significantly better adherence than controls. MI intervention by pharmacy students has been demonstrated to improve adherence on a long-term basis.

Conference/Value in Health Info

2022-05, ISPOR 2022, Washington, DC, USA

Value in Health, Volume 25, Issue 6, S1 (June 2022)

Code

PCR109

Topic

Patient-Centered Research, Real World Data & Information Systems, Study Approaches

Topic Subcategory

Adherence, Persistence, & Compliance, Health & Insurance Records Systems, Prospective Observational Studies

Disease

Diabetes/Endocrine/Metabolic Disorders

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