APPLICATION OF DATA VISUALIZATION TOOL- TREATMENT PATTERNS OF VETERAN PATIENTS WITH ANKYLOSING SPONDYLITIS WHO INITIATED TUMOR NECROSIS FACTOR THERAPY

Author(s)

Baser O1, Wang L2, Li L2, Huang A2, Wang H3, Xie L31STATinMED Research/The University of Michigan, Ann Arbor, MI, USA, 2STATinMED Research, Dallas, TX, USA, 3STATinMED Research, Ann Arbor, MI, USA

OBJECTIVES: In recent years, methodologies used in outcomes research have advanced. In a field where many researchers from a variety of disciplines (e.g., clinicians, epidemiologists, economists, statisticians) interact frequently, a tool to communicate information clearly and effectively through graphical means has become necessary. We present treatment patterns among Veterans Health Administration (VHA) patients diagnosed with ankylosing spondylitis (AS) using data visualization techniques. METHODS: Using the VHA Medical SAS® Dataset, we selected patients ≥18 with at least one AS diagnosis. We identified patients who initiated therapy with tumor necrosis factor (TNF) and non-TNF agents. For 2 years after the initiation date, we analyzed switches to another TNF, a non-TNF, and continuation and discontinuation treatment patterns. Using a processing language, we created a data visualization tool to demonstrate changes in treatment patterns after the first and second switches. RESULTS: A total of 1,021 AS patients initiated therapy with TNF. 13.52% of these patients switched to another TNF, 0.20% switched to a non-TNF, 49.56% discontinued therapy and 36.73% continued their initial therapy. Among patients who switched to another TNF, 60.87% remained on the switched therapy, while 31.16% discontinued therapy, 7.97% switched to another TNF, and no patients switched to a non-TNF. 81.82% of patients who made a second switch to a TNF medication remained on it, while 9.09% discontinued. A total of 84 AS patients initiated therapy with a non-TNF. 4.76% of these patients switched to a TNF, 1.19% switched to another non-TNF, 93.61% discontinued therapy and no patients continued. Of those patients whose first switch was to a TNF, 50% continued while the remaining 50% discontinued. No second switches were made. CONCLUSIONS: Treatment patterns can be difficult to present, especially when analyzing several years of data and various drug switches. Data visualization tools can help present these complicated flows effectively to researchers.

Conference/Value in Health Info

2012-11, ISPOR Europe 2012, Berlin, Germany

Value in Health, Vol. 15, No. 7 (November 2012)

Code

PMS74

Topic

Health Service Delivery & Process of Care

Topic Subcategory

Prescribing Behavior

Disease

Musculoskeletal Disorders

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