Key result
Self-reported stroke among elderly veterans demonstrated a sensitivity of 86%, a specificity of 100%, and a positive predictive value of 100% compared to medical record verification.
Why the study?
Is self-reported stroke accurate compared to medical records in elderly veterans?
Cohort (n=88)
No
Is self-reported stroke accurate compared to medical records in elderly veterans?
Self-reported stroke by elderly veterans is highly accurate and suitable for use in epidemiological and health services research.
Answers are grounded in this paper and cite their sources.
Self-reported stroke may suffice for veteran research; leaves open generalizability to other elderly populations.
The objective was to use secondary analysis of prevalence data from a prospective cohort study to ascertain the accuracy of self-reported stroke among veterans. The study comprised a community-dwelling population of 88 elderly veterans (from five counties in the Northern Piedmont of North Carolina, USA) who received health care at the local Veterans Health Administration (VHA) medical center and were respondents at the North Carolina site of the NIH-funded Established Populations for Epidemiologic Studies of the Elderly (EPESE) project. Self-report of stroke from the baseline interview of the EPESE project; and occurrence of stroke as verified by the national VHA hospital discharge database and the patients' medical records was measured. Results showed that self-report of stroke had a sensitivity of 86% and a specificity of 100%; the predictive value of a positive report was 100%. Veterans' self-reports of stroke are sufficiently accurate to use in preliminary epidemiological studies and health services research of cerebrovascular disease.
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Horner et al. (2001) conducted a cohort in Stroke (n=88). Self-report of stroke vs. Medical record and hospital discharge database verification was evaluated on Accuracy of self-reported stroke (Sensitivity 86%, Specificity 100%, PPV 100%). Self-reported stroke among elderly veterans demonstrated a sensitivity of 86%, a specificity of 100%, and a positive predictive value of 100% compared to medical record verification.
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