Factors associated with use of disease modifying agents for rheumatoid arthritis in the national hospital and ambulatory medical care survey
Seminars in Arthritis and Rheumatism Oct 25, 2017
Gaitonde P, et al. - Here, researchers scrutinized the treatment patterns among adults with rheumatoid arthritis (RA) and identified factors impacting access to traditional and biological disease-modifying antirheumatic drugs (DMARDs). This study revealed that the visits with a specialist and Medicare beneficiaries were significantly connected with any/biological DMARD use. Additionally, contrary to prior evidence, race/ethnicity was not related to any/biological DMARD utilization, which may show the reduction in the disparity of treatment access.
Methods
- Authors investigated visits recorded in the National Ambulatory Medical Care Survey from 2005-2014 with an RA diagnosis.
- The primary outcome was DMARD use (traditional and/or biological).
- They included prescriptions of all RA-related treatments such as traditional and biological DMARDs, glucocorticoids, gold preparations, immunosuppressants, and non-steroidal anti-inflammatory drugs.
- Covariates in the logistic regression models included age, gender, race/ethnicity, type of healthcare coverage, provider type, geographic region, and the number of comorbidities.
Results
- In this study, they observed 60.4% (n=807) were prescribed DMARDs and 23.8% (n=334) biological DMARDs among 1405 visits with a RA diagnosis.
- In fully adjusted models, females have 1.57 times higher odds of any DMARD use (95% Confidence Interval (CI): 1.02-2.46).
- Also, Medicare beneficiaries as compared to privately insured have 2.31 times higher odds of receiving any DMARDs (95% CI: 1.40-3.82), while visits with specialist versus general physician are 2.38 times more connected with any DMARD use (95% CI: 1.37-4.14).
- For biological DMARDs, Medicare beneficiaries were at 2.58 times higher odds (95% CI: 1.42-4.70) than privately insured, while visits with specialist are at 3.37 times higher odds than general physician (95% CI: 1.40-8.23).
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