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Linked Patient-Reported Outcomes Data From Patients With Multiple Sclerosis Recruited on an Open Internet Platform to
Valery Risson1, Bhaskar Ghodge, Ian C Bonzani
1Novartis Pharma AG, Basel, Switzerland. valery.risson@novartis.com.
Linking patient-reported outcomes from online surveys with health claims data for multiple sclerosis (MS) patients is feasible. This approach can rapidly generate a representative MS patient cohort for outcomes research.
Area of Science:
- Health Informatics
- Patient-Reported Outcomes
- Multiple Sclerosis Research
Background:
- Online communities generate vast public health information.
- Leveraging this data is crucial for understanding patient experiences.
Purpose of the Study:
- To assess the feasibility of linking patient-reported outcomes (PROs) from a US-based online survey of multiple sclerosis (MS) patients with health care utilization data from claims databases.
- To create a dataset for analyzing a broader MS population using pharmacy and medical claims.
Main Methods:
- Recruited US Facebook users with MS interest via targeted ads.
- Collected PROs via a web-based survey (demographics, disease characteristics, therapies, relapses, disability, quality of life, employment).
- Linked anonymous survey profiles to US medical and pharmacy claims data, assessing linkage rates and representativeness.
Main Results:
- Achieved a 67.6% linkage rate (440 of 651 completed surveys linked to claims data).
- No significant differences found in education, ethnicity, disease-modifying therapy (DMT) use, or recent relapses between linked and unlinked patients.
- Linked patients were slightly younger and less likely to be male compared to unlinked individuals; symptom frequencies were similar to the general MS population in claims databases.
Conclusions:
- Linking online PRO data with health care claims is a viable method for rapidly generating large, representative patient cohorts.
- This approach facilitates outcomes analysis in the multiple sclerosis population.
- The methodology supports efficient patient recruitment and data linkage for research.
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