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Activity Number: 290 - Contributed Poster Presentations: ENAR
Type: Contributed
Date/Time: Tuesday, August 9, 2022 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract #323381
Title: Power Calculation for Detecting Interaction Effect in Stepped-Wedge Cluster Randomized Trials
Author(s): Deukwoo Kwon* and Chen Yang and Madhu Mazumdar
Companies: Icahn School of Medicine at Mount Sinai and Icahn School of Medicine at Mount Sinai and Icahn School of Medicine at Mount Sinai
Keywords: Stepped-Wedge Cluster Randomization Trials; Detection of interaction effect; diversity research
Abstract:

Stepped-Wedge Cluster Randomized Trials (SW-CRTs) are increasingly utilized for evaluating healthcare delivery interventions. Appealing features of SW-CRTs include having each cluster acting as their own control and not needing to withhold the intervention from any patient. However, the design and analysis of SW-CRT is complex and methodology is not available for detecting interaction effects. Detecting interaction effect is important for diversity research to examine differential effect between minority and nonminority groups. We present a power calculation formulation and apply to a SW-CRT evaluating a clinical decision support system intervention that incorporates mortality predictive tool data to prompt goals of care conversations for cancer patients at high risk of short-term mortality. The composite outcome is documentation of goals of care conversations (Yes/No) and level of aggressive care utilization at the end-of-life (High/Low). We hypothesize that minority patients will have differentially increased gain in outcome compared to the non-minority group. Sample size calculation needs to be performed on detection of interaction between minority status and intervention.


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