TY  - JOUR
AU  - Nielsen, Victoria M.
AU  - Bettano, Amy
AU  - Josephson, Mark
AU  - Nasuti, Laura
AU  - Ursprung, W.W. Sanouri
PY  - 2017
TI  - Concordance Between Common Hypertension Control Algorithms in Electronic Medical Record Data
T2  - Preventing Chronic Disease
JO  - Prev Chronic Dis
SP  - E80
VL  - 14
CY  - Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
N2  - Because quality improvement metrics and treatment guidelines are used to conduct research, evaluate care quality, and assess population health, they should, ideally, align. We used electronic medical record data to analyze variation between blood pressure control estimates calculated by using thresholds derived from National Quality Forum 0018 (NQF 0018) and Joint National Committee (JNC) treatment guidelines in a cohort of patients with hypertension. Percentage of patients with controlled blood pressure derived from each quality improvement or treatment guideline cutoff varied up to 16.1 percentage points. This variance demonstrates that discrepancies in blood pressure thresholds produce considerable variation in estimates; thus, treatment guidance and metrics should be selected carefully.
SN  - 1545-1151
UR  - https://doi.org/10.5888/pcd14.170032
DO  - 10.5888/pcd14.170032
ER  - 
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