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Published on: April 23, 2018
Use of second-generation antidiabetic medication among a nationally representative sample
Bang Truong, Yuexin Li, Jingyi Zheng
1Department of Health Outcomes Research and Policy, Auburn University Harrison College of Pharmacy, 4306d Walker Building, Auburn, AL 36849.
Second-generation antidiabetic drugs were used by 14% of type 2 diabetes patients in the US. Higher income, increased medication use, and elevated hemoglobin A1c levels were linked to their prescription.
Area of Science:
- Endocrinology
- Pharmacology
- Public Health
Background:
- Second-generation antidiabetic medications offer benefits for type 2 diabetes (T2D) management.
- Real-world utilization patterns of these medications remain incompletely understood.
- Assessing patient factors influencing the adoption of these drugs is crucial for optimizing T2D care.
Purpose of the Study:
- To investigate patient characteristics associated with the use of second-generation antidiabetic medications.
- To analyze real-world data on the uptake of newer antidiabetic therapies in a representative US population with T2D.
Main Methods:
- Retrospective, cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) data from 2005-2018.
- Inclusion criteria: adults (≥18 years) with diagnosed T2D using antidiabetic medications within 30 days.
- Weighted multivariable logistic regression models assessed associations between patient factors and second-generation antidiabetic drug use.
Main Results:
- Approximately 13.67% of 4493 T2D patients reported using at least one second-generation antidiabetic drug.
- Higher income (≥400% federal poverty level), increased medication burden, and higher hemoglobin A1c levels were significantly associated with the use of these medications.
- Adjusted odds ratios indicated a greater likelihood of use for patients with these characteristics.
Conclusions:
- The utilization of second-generation antidiabetic medications among US patients with T2D was approximately 14%.
- Factors such as higher socioeconomic status and greater disease severity appear to influence the prescription of these newer agents.
- Policy interventions, such as optimizing prescription benefit designs to reduce out-of-pocket costs, could enhance patient access and improve clinical outcomes.
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