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Consistency between Self-Reported and Recorded Values for Clinical Measures
Joseph Thomas1, Mindy Paulet2, Jigar R Rajpura3
1Purdue University, College of Pharmacy and Regenstrief Center for Healthcare Engineering, Center for Health Outcomes Research and Policy, Robert Heine Pharmacy Building, Room 502A, 575 Stadium Mall Drive, West Lafayette, IN 47907-2091, USA.
Abstract:
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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