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Waterloo Eye Study: data abstraction and population representation.

Carolyn M Machan1, Patricia K Hrynchak, Elizabeth L Irving

  • 1University of Waterloo, Waterloo, Ontario, Canada.

Optometry and Vision Science : Official Publication of the American Academy of Optometry
|March 15, 2011
PubMed
Summary
This summary is machine-generated.

The Waterloo Eye Study (WatES) database shows good data quality, representing diverse age groups and sexes in Canadian optometry patients. This ensures its suitability for future research and analysis.

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Area of Science:

  • Ophthalmology
  • Optometry
  • Public Health

Background:

  • The Waterloo Eye Study (WatES) is a significant dataset for understanding eye health in Canada.
  • Assessing data quality is crucial for the validity of research findings.

Purpose of the Study:

  • To evaluate the data quality of the Waterloo Eye Study (WatES) database.
  • To compare the age and sex distribution of WatES participants with the general Canadian population.

Main Methods:

  • Reviewed 6,397 clinic files from the University of Waterloo, School of Optometry.
  • Abstracted demographic, clinical, and disease data, calculating inter- and intra-abstractor reliability using Cohen's kappa (K) and intraclass correlation coefficient (ICC).
  • Determined data availability through missing data rates.

Main Results:

  • WatES includes a wide age range (0.2-93.9 years) with good representation across age groups, particularly younger (<10) and older (>65) populations compared to national estimates.
  • High reliability was found for demographic data (K=0.96) and most clinical data (ICC >0.90).
  • Missing data rates were below 2% for most variables, with near phoria at 7.4%.

Conclusions:

  • The WatES database is a robust representation of Canadian optometric patients across all age groups and sexes.
  • High inter- and intra-abstractor reliability and low missing data rates confirm sufficient data quality for future analyses.
  • The study provides a valuable resource for epidemiological research in vision science.