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Using Electronic Medical Record Data To Establish And Monitor The Distribution Of Refractive Errors, Sean Longwill, Michael Moore, Daniel Ian Flitcroft, James Loughman

Articles

Objective

To establish the baseline distribution of refractive errors and associated factors amongst a population that attended primary care optometry clinics.

Design

Retrospective cross sectional cohort study of electronic medical records (EMR).

Methods

Electronic medical record data was extracted from forty optometry clinics, representing a mix of urban and rural areas in Ireland. The analysis was confined to demographic and clinical data gathered over a sixty-month period between 2015 and 2019. Distribution rates were calculated using the absolute and relative frequencies of refractive error in the dataset, stratified for age and gender using the following definitions: high myopia ≤ -6.00 …

Big Data Analysis Of Vision Screening Standards Used To Evaluate Fitness To Drive, Michael Moore, John Butler, Daniel Ian Flitcroft, James Loughman

Articles

Purpose: Visual acuity (VA) assessment is the most commonly performed vision screening method for drivers. The standards and repeat assessment intervals used, however, are arbitrary, lack an evidence base and are highly variable across different countries. This study utilizes the power of Big Data to provide evidence-based recommendations for standardized driver vision screening.

Methods: Anonymized electronic medical record data were gathered from 40 Irish optometry practices comprising 81,184 unique patients. A Kaplan-Meier Survival (KMS) analysis was used to determine the effect of increasing age and time since screening on the likelihood of passing the VA standard for driving. A logistic …