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Activity Number: 351 - Contributed Poster Presentations: Statistical Society of Canada
Type: Contributed
Date/Time: Tuesday, August 9, 2022 : 2:00 PM to 3:50 PM
Sponsor: SSC (Statistical Society of Canada)
Abstract #323379
Title: Why Recommended Visit Intervals Should Be Extracted When Conducting Longitudinal Analyses Using Electronic Health Record Data
Author(s): Rose Hailey Garrett*
Companies: The Hospital for Sick Children
Keywords: longitudinal data; Sensitivity analysis; informative observation; observational study; correlated; inverse-intensity weighting

Using routinely collected data from electronic health records offers a low-cost approach to investigating disease progression over multiple years of follow-up. However, this study design can lead to a biased sample since patients interact with the healthcare system more often when they are unwell and thus there is an overrepresentation of measurements on sicker patients. We show how the rigour of modelling of the irregularly observed disease trajectory over time can be enhanced by leveraging information that has never been used before but is often already recorded in patient charts: physician recommendations on when the next visit should occur. Specifically, we demonstrate how recommended intervals can be used in examining and classifying the irregular visit process, and in assessing the sensitivity of the results to visiting not at random (VNAR). We illustrate our approach using data from a clinic-based cohort of patients with juvenile dermatomyositis at the Hospital for Sick Children.

Authors who are presenting talks have a * after their name.

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