Using Linked Claims and EHR Real-World Data to Determine Medication Adherence Among Common Therapeutic Areas of Chronic Disease

Author(s)

Finlayson K1, Li V2, Gordon A2, Modi K2, Paudel N2, Abdullaeva S2, Geary J2, Purinton S2
1Oracle Life Sciences, Providence, RI, USA, 2Oracle Life Sciences, Austin, TX, USA

OBJECTIVES: Medication adherence is vital to disease management for patients with chronic illness. This study examined medication adherence among adult patients with selected common chronic conditions, using linked commercial claims and EHR data from 2015-2023.

METHODS: De-identified Oracle electric health record (EHR) data for ~110M patients over 139 health organizations across the US was used to identify patients aged 18-64 who were diagnosed with type 2 diabetes, asthma, migraine, anxiety disorder, or insomnia. Analysis included patients who had at least one outpatient encounter between January 1, 2015, and June 30, 2023, and had a medication prescribed at the encounter. Pharmacy claims from a nationally representative US closed claims database for ~90M EHR-linked patients from the same time period were used to determine whether prescriptions were filled. Prescriptions were considered filled if they were filled within 30 days after the encounter. Patients who filled 80% or more of their prescriptions were considered adherent. Patient-level drug adherence was compared across therapeutic areas and drug-level fill rates were compared across drug classes.

RESULTS: Among 95,980 linked diabetes patients, 45.3% were adherent. Out of 606,653 diabetes medication records, amylin analogs (73.7%) and GLP-1 receptor agonists (63.8%) had the highest fill rates, while antidiabetic combination medications (52.4%) had the lowest fill rate. Among 33,966 linked asthma patients, 45.6% were adherent. Out of 119,136 asthma medication records, leukotriene modifiers (64.8%) and methylxanthines (61.0%) had the highest fill rates, while adrenergic bronchodilators (53.3%) had the lowest fill rate. Results for migraine, anxiety disorder, and insomnia will be discussed in the poster.

CONCLUSIONS: Using EHR and claims data from nationally representative databases, low medication adherence rates were observed among linked patients with diabetes and asthma, where slightly less than half were found to have filled their prescribed medication at least 80% of the time, though adherence rates vary by medication.

Conference/Value in Health Info

2024-05, ISPOR 2024, Atlanta, GA, USA

Value in Health, Volume 27, Issue 6, S1 (June 2024)

Code

PCR192

Topic

Patient-Centered Research, Study Approaches

Topic Subcategory

Adherence, Persistence, & Compliance, Electronic Medical & Health Records

Disease

Diabetes/Endocrine/Metabolic Disorders (including obesity), Drugs, Mental Health (including addition), Neurological Disorders, Respiratory-Related Disorders (Allergy, Asthma, Smoking, Other Respiratory)

Explore Related HEOR by Topic


Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now

×