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Activity Number:
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171
- SPAAC Poster Competition
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 4, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract #313923
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Title:
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Profiling the Dynamic Trajectory Using Mixed Effect Models with Applications to Patient-Reported Outcome Measures in Michigan Arthroplasty Registry(MARCQI)
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Author(s):
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Huiyong Zheng* and Richard E. Hughes and Brian R. Hallstrom and Tae Kim and Mark Cowen
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Companies:
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University of Michigan and University of Michigan and University of Michigan and The Michigan Arthroplasty Registry Collaborative Quality Initiative (MARCQI) and St. Joseph Mercy Hospital
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Keywords:
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Semi-parametric Mixed Effect Models;
Joint Replacement;
Patient-report Outcome Measures (PROMs);
Retrospective Cohort Study;
Michigan Arthroplasty Registry Collaborative Quality Initiative (MARCQI)
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Abstract:
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In US, more than one million total joint replacements are performed annually. Profiling the improvement of function and effectiveness of surgeries according to Patient-report Outcome Measures (PROMs) is critical yet challenging due to the inherent variations and unknown mathematical functional forms etc. Given the nonlinear, nonparametric nature of data, this retrospective study focuses on characterizing the trajectories in PROMs using registry data. Semi-parametric stochastic mixed models with spline smoothing are developed to profile the trajectory of PROMs around the surgery. With the critical time points, piece-wise linear mixed effect models are developed to quantify the stage-wise improvements. The risk factors include patient mix and baseline health status. The sharp and gradual improvement stages will be identified following the surgery. Surgeons and hospitals are treated as random effects. The variabilities from surgeons and hospitals are identified to the PROMS improvement as Median Odds Ratio (MOR). The developed methodology can help inform a quality improvement strategy for increasing the proportion of patients who will experience a meaningful improvement in their funct
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Authors who are presenting talks have a * after their name.
