Estimating Socio-Economic Status for Alzheimer's Disease Trials
D M Rentz1, J D Grill, D P Molina-Henry
1Dorene M Rentz, PsyD, Department of Neurology, Brigham and Women's Hospital, 60 Fenwood Road, 9016S, Boston, MA 02115, USA, Email: drentz@bwh.harvard.edu, Telephone: 617-732-2385, FAX: 617-738-9122.
Collecting socioeconomic status (SES) data in clinical trials is crucial for generalizability. A modified Hollingshead Index, updated with current occupations, proved feasible and effective for gathering SES information across diverse populations.
Area of Science:
- Clinical research methodology
- Health equity
- Sociomedical sciences
Background:
- Socioeconomic status (SES) metrics are inconsistently collected in clinical trials, hindering generalizability assessments.
- This data gap limits understanding treatment efficacy across diverse patient subpopulations.
- Standardized SES data collection is essential for equitable clinical trial outcomes.
Purpose of the Study:
- To adapt and validate a socioeconomic status (SES) measure for use in clinical trials.
- To modernize the Hollingshead Index of Social Position with current occupational data.
- To establish a standardized method for SES data collection in multi-site studies.
Main Methods:
- Adapted the Hollingshead Two Factor Index of Social Position, a combined education and occupation metric.
- Updated the 1965 occupation list to reflect 2017 US Bureau of Labor Statistics career data.
- Implemented the revised SES measure within Alzheimer's Clinical Trials Consortium studies.
Main Results:
- A revised table of occupations was generated.
- Feasible collection of SES data using the modified Hollingshead Index was demonstrated in a multi-site clinical trial.
- SES scores were distributed across all strata, indicating broad applicability.
Conclusions:
- The modified Hollingshead Index offers a standardized approach for SES data collection.
- This method facilitates data aggregation, monitoring, and reporting in clinical trials.
- Standardized SES data enhances the interpretability and generalizability of trial results.
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