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Discrete Choice Experiment Attribute Selection Using a Multinational Interview Study: Treatment Features Important to
Anna Rydén1, Stephanie Chen2, Emuella Flood3
1AstraZeneca Gothenburg, 431 83, Mölndal, Sweden. anna.ryden@astrazeneca.com.
The Patient
|March 19, 2017
Summary
This study explored patient preferences for type 2 diabetes treatments using discrete choice experiments. Efficacy, adverse effects, and dosing frequency were key factors for patients considering glucagon-like peptide-1 receptor agonists (GLP-1RAs).
Area of Science:
- Health Economics
- Patient-Reported Outcomes
- Diabetes Mellitus Research
Background:
- Discrete choice experiment (DCE) attribute selection methods lack standardization and detailed reporting.
- Understanding patient preferences for type 2 diabetes mellitus (T2DM) treatments, specifically glucagon-like peptide-1 receptor agonists (GLP-1RAs), is crucial for effective treatment selection.
Purpose of the Study:
- To inform the development of a DCE survey by identifying key attributes and attribute levels for GLP-1RA treatments.
- To explore patient preferences and concerns regarding GLP-1RA treatments in an international context.
Main Methods:
- A qualitative study involving a literature review and semi-structured interviews with clinical experts and T2DM patients (GLP-1RA-experienced and injection-naïve) from five countries.
- Interviews utilized open-ended questions and probes to capture patient perspectives on treatment aspects and injection concerns.
- Qualitative data were analyzed using MAXQDA, with descriptive statistics summarizing the patient sample.
Main Results:
- Thirty-two articles were reviewed, identifying 31 attributes from DCE studies and 61 from non-DCE studies.
- Fifty patients participated; 56% had prior GLP-1RA experience, and 44% were injection-naïve. Mean age was 52.8 years.
- Patients prioritized treatment efficacy, adverse effects, and dosing frequency. For device/regimen attributes, dosing frequency, needle size, and injection preparation were most important.
Conclusions:
- This study contributes to the DCE literature by providing insights into attribute selection methodology in an international setting.
- Limited published information exists on best practices for selecting and defining attributes for DCE surveys, highlighting the value of this research.
- The findings can guide researchers in developing more relevant and effective DCE surveys for T2DM treatments.
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