Use of Ml Model to Predict Biologic to Biosimilar Switch in Inflammatory Bowel Disease
Author(s)
Verma V1, Gaur A2, Dawar V2, Bhargava S3, Brooks L4, Gupta A2, Rastogi M2, Nayyar A2, Markan R2
1Optum, Gurgaon, HR, India, 2Optum, Gurugram, HR, India, 3Optum Tech, Eden Prarie, MN, USA, 4Optum, Basking Ridge, NJ, USA
Presentation Documents
OBJECTIVES: To identify the predictors of switching from biologic to Infliximab biosimilar in Inflammatory Bowel Disease (IBD) patients.
According to CDC, patients with IBD tend to have higher healthcare utilization including doctor’s visits, ER visits, and GI-related surgeries as compared to non-IBD patients. The recent treatment modalities in the form of biologics and biosimilars have proven beneficial in halting disease progression and improving quality of life. Biosimilars hold value in terms of providing cost-effective treatment still there is low penetration observed for biosimilar usage.METHODS:
Patients with IBD from 2019 to 2022 were included in our study. Real-world data was comprehensively used from Optum® de-identified Market Clarity database, which links EHR and multi-payer claims data. Patients with continuous eligibility for medical and pharmacy claims in the pre-index period of 6 months were considered. The biosimilar start date was the index date. Predictor variables of demographics, medication history, labs, procedures, signs & symptomology in the baseline period of 6 months were evaluated. A total of 4,221 patients who switched from biologics or conventional DMARDs to Infliximab biosimilar were identified for the study. Logistic regression was performed for the prediction.RESULTS:
In the baseline period, 76% of patients were on Infliximab biologic and the remaining were on other biologics therapy or conventional DMARDs. African Americans and Asians were 25% and 16% more likely to switch to biosimilar therapy respectively. The Medicare population was 85% more likely to switch from biologics to biosimilar therapy.CONCLUSIONS:
This study will aid in the identification of the factors that influence prescribing decisions leading to switch from biologics to biosimilars. The study can then be used to focus on a specific patient characteristic to promote early adoption of biosimilars, and ultimately lower the overall total cost of care.Conference/Value in Health Info
2023-05, ISPOR 2023, Boston, MA, USA
Value in Health, Volume 26, Issue 6, S2 (June 2023)
Code
RWD80
Topic
Methodological & Statistical Research
Topic Subcategory
Artificial Intelligence, Machine Learning, Predictive Analytics
Disease
Biologics & Biosimilars, Gastrointestinal Disorders