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Dataset Information

Factors Associated with Missing Sociodemographic Data in the IRIS® (Intelligent Research in Sight) Registry.


ABSTRACT:

Purpose

To describe the prevalence of missing sociodemographic data in the IRIS® (Intelligent Research in Sight) Registry and to identify practice-level characteristics associated with missing sociodemographic data.

Design

Cross-sectional study.

Participants

All patients with clinical encounters at practices participating in the IRIS Registry prior to December 31, 2020.

Methods

We describe geographic and temporal trends in the prevalence of missing data for each sociodemographic variable (age, sex, race, ethnicity, geographic location, insurance type, and smoking status). Each practice contributing data to the registry was categorized based on the number of patients, number of physicians, geographic location, patient visit frequency, and patient population demo

SUBMITTER: Ross C 

PROVIDER: S-EPMC11321280 | biostudies-literature | 2024 Nov-Dec

REPOSITORIES: biostudies-literature