Continuity of Medication Use by US Adults With Diabetes, 2005-2019
Authors' conclusion
This study found that a mean of 19.5% of participants did not maintain continuity in use of glucose-lowering medication, with recent decreases, while a mean of 17.1% and 43.2% of participants did not maintain continuity of use of blood pressure- or lipid-lowering medications, respectively.
Study context
- Population
- US adults with diagnosed diabetes in both years, participating in all Medical Expenditure Panel Survey (MEPS) survey rounds, 2005–2006 to 2018–2019 panels
- Participants
- 15,237 adults
- Exposure
- Trends in medication continuity, 2005-2006 to 2018-2019 MEPS panels
- Outcome
- Longitudinal use (continued, none, inconsistent, new) of glucose-, blood pressure- and lipid-lowering medications
- Follow-up
- Over 2 years
Methodological detailspopulation-weighted, nationally representative, 2-year longitudinal follow-up, Data analyzed August 2021 to November 2022
- Population-weighted, nationally representative
- 2-year longitudinal follow-up
- Data analyzed August 2021 to November 2022
Main finding
As reported in the abstract
Glucose-lowering, mean
19.5%
95% CI 18.6%–20.3%
Blood pressure-lowering, mean
17.1%
95% CI 16.2%–18.1%
Lipid-lowering, mean
43.3%
95% CI 42.2%–44.3%
Observational data: associations, not effects.
Further findings
Trends in glucose-lowering medication use · 2005-2006 to 2018-2019
- Continued use, 2005-2006
- 84.5% (95% CI 81.8%-87.3%)
- Continued use, 2018-2019
- 77.4% (95% CI 74.8%-80.1%)
- Inconsistent use, 2005-2006
- 3.3% (95% CI 1.9%-4.7%)
- Inconsistent use, 2018-2019
- 7.1% (95% CI 5.6%-8.6%)
- No use, 2005-2006
- 8.1% (95% CI 6.0%-10.1%)
- No use, 2018-2019
- 12.9% (95% CI 10.9%-14.9%)
Inconsistent use of blood pressure-lowering medication · 2005-2006 to 2016-2017
- 2005-2006
- 3.9% (95% CI 1.8%-6.0%)
- 2016-2017
- 9.0% (95% CI 7.0%-11.0%)
- Trended upward
Inconsistent use of lipid-lowering medication · 2017-2018
- High, 2017-2018
- 9.9% (95% CI 7.0%-12.7%)
- Trended up
Original publication
Composed by AI from the published abstract and checked against it. How Briefs are made →