Challenges of self-reported medical conditions and electronic medical records among members of a large military cohort
2008

Challenges of Self-Reported Medical Conditions vs. Electronic Medical Records in Military Personnel

Sample size: 37798 publication 10 minutes Evidence: moderate

Author Information

Author(s): Besa Smith, Laura K. Chu, Tyler C. Smith, Paul J. Amoroso, Edward J. Boyko, Tomoko I. Hooper, Gary D. Gackstetter, Margaret A. Ryan

Primary Institution: Department of Defense Center for Deployment Health Research at the Naval Health Research Center

Hypothesis

This study aims to understand the challenges and strengths in self-reporting medical conditions compared to electronic medical records.

Conclusion

Self-reported medical data may be sufficient for ruling out a history of a particular condition, while prevalence studies are better served by using objective measures from electronic healthcare records.

Supporting Evidence

  • Self-reported medical conditions were compared with electronic medical records for 37,798 participants.
  • The study found high negative agreement but lower positive agreement between self-reports and medical records.
  • Prevalence of conditions was generally lower in electronic records than in self-reports.

Takeaway

This study looked at how well people in the military remember their health problems compared to what doctors have written down. It found that people are usually good at saying they don't have a problem, but not always good at saying they do.

Methodology

The study compared self-reported medical conditions to electronic medical record data in a large military cohort.

Potential Biases

Potential biases include coding errors in electronic records and differences in health literacy affecting self-report accuracy.

Limitations

The study population was limited to active-duty personnel, and electronic medical records may not capture conditions diagnosed prior to military service.

Participant Demographics

Participants were predominantly young military personnel, with a higher proportion of women and those recently deployed.

Statistical Information

Confidence Interval

95% CI

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2288-8-37

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