Why the study?
Are self-reported clinical measures consistent with practitioner-recorded values in a privately insured cohort?
Are self-reported clinical measures consistent with practitioner-recorded values in a privately insured cohort?
Self-reported clinical values for common cardiovascular risk factors show high consistency with practitioner-recorded data, supporting their validity for use in health risk assessments.
Objectives. This study evaluated consistency between self-reported values for clinical measures and recorded clinical measures. Methods. Self-reported values were collected for the clinical measures: systolic blood pressure, diastolic blood pressure, glucose level, height, weight, and cholesterol from health risk assessments completed by enrollees in a privately insured cohort. Body mass index (BMI) was computed from reported height and weight. Practitioner recorded values for the clinical measures were obtained from health screenings. We used bivariate Pearson correlation analysis and descriptive statistics to evaluate consistency between self-reported data and recorded clinic measurements. Results. There was high correlation between self-reported clinical values and recorded clinical measures for diastolic blood pressure (r = 0.91, P = <0.0001), systolic blood pressure (r = 0.93, P = <0.0001), cholesterol (r = 0.97, P = <0.0001), body mass index (r = 0.96, P = <0.0001), glucose (r = 0.96, P = <0.0001), weight (r = 0.98, P = <0.0001), and height (r = 0.89, P = <0.0001). Conclusions. Self-reported clinical values for each of the eight clinical measures examined had good consistency with practitioner recorded data.
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Thomas et al. (2016) studied this question.
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