Back

Routine Errors Matter: The Effect of Non-Standardized Blood Pressure Measurement

Vesga-Reyes, P. A.; Zapata-Vasquez, I. L.; Carrillo-Gomez, D. C.; Gomez-Mesa, J. E.; Leon-Giraldo, H. O.; Vesga-Reyes, C. E.

2026-03-02 cardiovascular medicine
10.64898/2026.02.26.26347228 medRxiv
Show abstract

BackgroundBlood pressure (BP) is routinely measured during healthcare visits. A standardized measurement is essential to ensure accurate values, particularly in outpatient settings, where patient preparation, environment, and technique can significantly influence results. MethodsA quasi-experimental study was conducted in adult outpatients. Demographic, anthropometric, and clinical data were collected through interviews and physical examination. BP was measured using a validated automated oscillometric device under four non-randomized predefined sequences. The standardized method followed international guideline recommendations, whereas the other three incorporated common errors observed in clinical practice (unsupported body position on the examination table, patient speaking, or legs crossed). Systolic and diastolic BP values were compared using the Friedman test and paired Wilcoxon tests with Holm adjustment. Effect sizes were expressed as median paired differences with interquartile ranges. Analyses were performed using R and Stata. ResultsA total of 295 participants were included (61% women; median age 56 years), with hypertension as the most frequent comorbidity (33%). Significant differences were observed across the four measurement models (p < 0.001). Compared with the standardized method, systolic BP was higher by +8 mmHg (M2), +2.5 mmHg (M3), and +4 mmHg (M4), while diastolic BP increased by +7 mmHg, +2 mmHg, and +2 mmHg, respectively. Clinically relevant differences (|{Delta}| [&ge;] 5 mmHg) occurred in up to 81% of systolic and 79% of diastolic measurements with M2. ConclusionsNon-adherence to guideline-recommended BP measurement protocols leads to BP overestimation and misclassification of hypertension status, which may affect therapeutic decision-making and the use of pharmacological treatments.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Journal of Hypertension
10 papers in training set
Top 0.1%
19.1%
2
Hypertension
36 papers in training set
Top 0.1%
19.1%
3
PLOS ONE
5266 papers in training set
Top 15%
12.3%
50% of probability mass above
4
Open Heart
21 papers in training set
Top 0.1%
6.9%
5
BMJ Open
601 papers in training set
Top 5%
4.2%
6
Journal of Clinical Medicine
97 papers in training set
Top 1%
3.3%
7
Scientific Reports
3612 papers in training set
Top 41%
2.5%
8
Journal of the American Heart Association
140 papers in training set
Top 3%
1.7%
9
PLOS Global Public Health
344 papers in training set
Top 6%
1.7%
10
Frontiers in Pediatrics
32 papers in training set
Top 0.5%
1.7%
11
American Journal of Physiology-Heart and Circulatory Physiology
36 papers in training set
Top 0.7%
1.5%
12
European Heart Journal - Digital Health
18 papers in training set
Top 0.6%
1.5%
13
Communications Medicine
113 papers in training set
Top 3%
1.4%
14
The American Journal of Cardiology
17 papers in training set
Top 0.9%
1.2%
15
Kidney360
22 papers in training set
Top 0.5%
1.1%
16
Cureus
68 papers in training set
Top 4%
1.1%
17
The Lancet Digital Health
25 papers in training set
Top 0.5%
1.1%
18
Frontiers in Cardiovascular Medicine
53 papers in training set
Top 2%
1.0%
19
eBioMedicine
183 papers in training set
Top 5%
1.0%
20
Heart
11 papers in training set
Top 0.9%
0.9%
21
Pilot and Feasibility Studies
14 papers in training set
Top 0.8%
0.6%