Unknown

Dataset Information

0

Glucagon-like Peptide-1 Receptor Agonist Treatment Attributes Important to Injection-Naive Patients with Type 2 Diabetes Mellitus: A Multinational Preference Study.


ABSTRACT:

Introduction

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) differ in efficacy, side effects, dosing frequency, and device-related attributes. This study assessed the relative importance of treatment-related attributes in influencing preferences for GLP-1RAs among injection-naïve patients with type 2 diabetes mellitus (T2DM).

Methods

Injection-naïve T2DM patients from five countries completed a Web-based discrete choice experiment (DCE) survey. Patients chose between hypothetical treatment profiles reflecting important and differentiating attributes of GLP-1RAs. Eight attributes were included: efficacy, side effects, device size, needle size, titration, preparation, evidence of long-term efficacy/safety, and dosing frequency. Odds ratios (ORs) and 95% confidence intervals were calculated using a conditional logit model to indicate the likelihood of choosing a treatment with a given attribute level versus a reference attribute level. The influence of individual attributes when considering full treatment profiles was examined using exenatide once weekly (QW) and liraglutide once daily (QD) as case examples.

Results

A total of 1482 patients with T2DM completed the DCE survey. Side effects, efficacy, and dosing frequency were the three most important attributes influencing preferences; needle size, device size, and required preparation were least important. Total sample analysis indicated that a profile of GLP-1RA approximating exenatide QW (single pen) was preferred over a profile approximating liraglutide QD (OR 3.36; p < 0.001), when efficacy was assumed to be equal.

Conclusion

The most influential drivers of treatment preferences for a hypothetical GLP-RA profile were side effects, efficacy, and dosing frequency among injection-naïve T2DM patients. Preference elicitation can promote patient-centered care and inform new generations of T2DM treatments, which can lead to improved adherence and health outcomes.

SUBMITTER: Qin L 

PROVIDER: S-EPMC5380493 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC5380499 | biostudies-literature
| S-EPMC4033432 | biostudies-literature
2022-12-09 | GSE211105 | GEO
| S-EPMC7434819 | biostudies-literature
| S-EPMC8766416 | biostudies-literature
| S-EPMC6486297 | biostudies-literature
| S-EPMC4541559 | biostudies-literature
2024-06-11 | GSE243681 | GEO
| S-EPMC7610126 | biostudies-literature
| S-EPMC5780066 | biostudies-literature