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KMID : 1044620190520060377
Journal of Preventive Medicine and Public Health
2019 Volume.52 No. 6 p.377 ~ p.383
Validity of Self-reported Stroke and Myocardial Infarction in Korea: The Health Examinees (HEXA) Study
Choe Sun-Ho

Lee Joon-Ki
Lee Jee-Yoo
Kang Dae-Hee
Lee Jong-Koo
Shin Ae-Sun
Abstract
Objectives: Self-reported disease history is often used in epidemiological studies. In this study, we acquired the hospital records of subjects who self-reported stroke or myocardial infarction (MI) and evaluated the validity of the participants¡¯ self-reported disease history. We also determined the level of agreement between specialists and non-specialists.

Methods: Among the participants in the Health Examinees study, 1488 subjects self-reported stroke or MI during 2012-2017, and medical records were acquired for the 429 subjects (28.8%) who agreed to share their medical information. Each record was independently assigned to 2 medical doctors for review. The records were classified as ¡®definite,¡¯ ¡®possible,¡¯ or ¡®not¡¯ stroke or MI. If the doctors did not agree, a third doctor made the final decision. The positive predictive value (PPV) of self-reporting was calculated with the doctors¡¯ review as the gold standard. Kappa statistics were used to compare the results between general doctors and neurologists or cardiologists.

Results: Medical records from 208 patients with self-reported stroke and 221 patients with self-reported MI were reviewed. The PPV of self-reported disease history was 51.4% for stroke and 32.6% for MI. If cases classified as ¡®possible¡¯ were counted as positive diagnoses, the PPV was 59.1% for stroke and 33.5% for MI. Kappa statistics showed moderate levels of agreement between specialists and non-specialists for both stroke and MI.

Conclusions: The validity of self-reported disease was lower than expected, especially in those who reported having been diagnosed with MI. Proper consideration is needed when using these self-reported data in further studies.
KEYWORD
Self-report, Validity, Positive predictive value, Stroke, Myocardial infarction
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