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Intraclass Correlation Coefficients for Planning Cluster Randomized Trials in Community-Dwelling Older Adults
Subashan Perera1, Neelesh K Nadkarni1, David Wert1
1University of Pittsburgh, PA, USA.
Intraclass correlation coefficients (ICCs) for older adults in cluster trials are significant. These values, especially for disability and cognitive measures, impact study sample size and results, requiring careful consideration in planning and analysis.
Area of Science:
- Gerontology
- Biostatistics
- Clinical Trials
Background:
- Cluster randomized trials (CRTs) are increasingly used for older adults, randomizing facilities instead of individuals.
- The intraclass correlation coefficient (ICC), measuring within-facility similarity, is crucial for CRTs but often unavailable.
- Understanding ICCs is vital for accurate sample size calculations and interpreting results in geriatric CRTs.
Purpose of the Study:
- To document intraclass correlation coefficients (ICCs) for common measures in community-dwelling older adults.
- To assess the impact of ICCs on the planning and analysis of cluster randomized trials in this population.
Main Methods:
- Secondary analysis of baseline data from the 'On the Move' cluster randomized trial.
- Calculation of ICCs using a linear mixed-effects model for various health and functional measures.
Main Results:
- Self-reported disability and sense of community measures showed the highest ICCs (>0.10).
- Mobility performance measures had ICCs ranging from 0.05 to 0.10.
- Cognitive measures exhibited an ICC of 0.11.
Conclusions:
- The documented ICCs for older adult measures are substantial enough to significantly influence study sample sizes.
- These ICCs can affect the credibility of findings in cluster randomized trials.
- Researchers must consider ICCs during the planning and data analysis phases of geriatric CRTs.
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