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Can the General Public Be a Proxy for an "At-Risk" Group in a Patient Preference Study? A Disease Prevention Example
R L DiSantostefano1, G Simons2, M Englbrecht3,4
1Janssen Research & Development, Titusville, NJ, USA.
Summary
For rheumatoid arthritis (RA) prevention, the general public may serve as a proxy for at-risk relatives regarding preference rankings, but not for preference weights. Careful sample selection is crucial for patient preference studies.
Area of Science:
- Rheumatology
- Health Economics
- Behavioral Science
Background:
- Patient preference studies are vital for treatment decisions.
- Recruiting eligible participants for specific treatment decisions can be challenging.
- General public samples may not accurately represent patient preferences.
Purpose of the Study:
- To compare patient preferences for rheumatoid arthritis (RA) preventive treatments between the general public and first-degree relatives (FDRs) of RA patients.
- To assess the suitability of using a general public sample as a proxy for FDRs in RA prevention preference studies.
Main Methods:
- A discrete choice experiment was employed with hypothetical RA preventive treatments.
- Participants (general public and FDRs) evaluated treatment options based on risk reduction and other attributes.
- Data quality was assessed via survey completion time and comprehension questions. Preference data were analyzed using a random parameter logit model.
Main Results:
- First-degree relatives (FDRs) demonstrated higher attention and comprehension than the general public sample.
- Relative importance rankings for RA preventive treatment attributes were similar between the general public and FDRs.
- Preference weights, including maximum acceptable risk (MAR) and market shares, differed significantly between the two groups, with FDRs showing higher MARs.
Conclusions:
- The general public can serve as a proxy for at-risk samples (FDRs) in terms of ranking the importance of RA preventive treatment attributes.
- However, the general public is not a suitable proxy for estimating preference weights (e.g., MAR) in this context.
- Justification for proxy sample selection in patient preference studies is essential, especially when using non-patient samples.
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