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Related Experiment Videos

Reproducibility of data collected by patient interview

L L Lim1, T Dobbins

  • 1Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, NSW. mdll@alinga.newcastle.edu.au

Australian and New Zealand Journal of Public Health
|October 1, 1996
PubMed
Summary

Even simple patient data like date of birth can be inconsistent when collected twice. This study highlights data reproducibility issues in heart attack registers, impacting research accuracy.

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Area of Science:

  • Epidemiology
  • Health Services Research

Background:

  • Reproducibility of patient-reported data is crucial for the validity of health registries.
  • Previous research has focused on recall bias for sensitive information, but less on seemingly straightforward data.

Purpose of the Study:

  • To assess the reproducibility of routinely collected data in a heart attack register.
  • To identify specific data items and patient characteristics associated with reporting inconsistencies.

Main Methods:

  • Analysis of data from 1675 patients in the Lower Hunter Region heart attack register, with data collected on at least two occasions.
  • Assessment of reporting inconsistencies for eight data items, including sex, marital status, country of birth, smoking status, height, date of birth, education level, and medical history.

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Main Results:

  • Inconsistencies were found across multiple data items, with education level (13%) and medical history (1.6-9.6%) showing higher rates.
  • Patients not from English-speaking backgrounds, over 60 years old, or without tertiary education had higher inconsistency rates.
  • Sex and time between data collection occasions were not associated with increased reporting errors.

Conclusions:

  • Even basic demographic and clinical data collected via patient interview are not perfectly reproducible.
  • Findings suggest the need for sensitivity analyses in studies using similar data to account for potential inaccuracies.
  • The study underscores the importance of considering data collection methods and patient factors in registry research.