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Research ArticleOriginal Research

Sources of Error in Office Blood Pressure Measurement

Roy N. Morcos, Kimbroe J. Carter, Frank Castro, Sumira Koirala, Deepti Sharma and Haroon Syed
The Journal of the American Board of Family Medicine September 2019, 32 (5) 732-738; DOI: https://doi.org/10.3122/jabfm.2019.05.190085
Roy N. Morcos
From the Department of Family and Community Medicine, Northeast Ohio Medical University, Rootstown, OH (RNM, SK); Department of Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (RNM); Medical Decision Making Society of Youngstown Ohio, c/o Jeghers Medical Index, St. Elizabeth Youngstown Hospital, Youngstown, OH (FC, KJC); Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (SK, DS); Department of Pathology, Northeast Ohio Medical University, Rootstown, OH (KJC).
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Kimbroe J. Carter
From the Department of Family and Community Medicine, Northeast Ohio Medical University, Rootstown, OH (RNM, SK); Department of Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (RNM); Medical Decision Making Society of Youngstown Ohio, c/o Jeghers Medical Index, St. Elizabeth Youngstown Hospital, Youngstown, OH (FC, KJC); Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (SK, DS); Department of Pathology, Northeast Ohio Medical University, Rootstown, OH (KJC).
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Frank Castro
From the Department of Family and Community Medicine, Northeast Ohio Medical University, Rootstown, OH (RNM, SK); Department of Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (RNM); Medical Decision Making Society of Youngstown Ohio, c/o Jeghers Medical Index, St. Elizabeth Youngstown Hospital, Youngstown, OH (FC, KJC); Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (SK, DS); Department of Pathology, Northeast Ohio Medical University, Rootstown, OH (KJC).
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Sumira Koirala
From the Department of Family and Community Medicine, Northeast Ohio Medical University, Rootstown, OH (RNM, SK); Department of Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (RNM); Medical Decision Making Society of Youngstown Ohio, c/o Jeghers Medical Index, St. Elizabeth Youngstown Hospital, Youngstown, OH (FC, KJC); Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (SK, DS); Department of Pathology, Northeast Ohio Medical University, Rootstown, OH (KJC).
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Deepti Sharma
From the Department of Family and Community Medicine, Northeast Ohio Medical University, Rootstown, OH (RNM, SK); Department of Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (RNM); Medical Decision Making Society of Youngstown Ohio, c/o Jeghers Medical Index, St. Elizabeth Youngstown Hospital, Youngstown, OH (FC, KJC); Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (SK, DS); Department of Pathology, Northeast Ohio Medical University, Rootstown, OH (KJC).
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Haroon Syed
From the Department of Family and Community Medicine, Northeast Ohio Medical University, Rootstown, OH (RNM, SK); Department of Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (RNM); Medical Decision Making Society of Youngstown Ohio, c/o Jeghers Medical Index, St. Elizabeth Youngstown Hospital, Youngstown, OH (FC, KJC); Family Medicine Residency Program, St. Elizabeth Boardman, Mercy Health (SK, DS); Department of Pathology, Northeast Ohio Medical University, Rootstown, OH (KJC).
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Abstract

Purposes: To evaluate 2 commonly overlooked sources of error in measuring blood pressure (BP) in the office, improper patient positioning and frequency of terminal digit bias (TDB) using manual and automated (BP) devices.

Methods: BPs recorded by 3 nurses using manual and automated devices were analyzed for TDB. In the next part of the study, 294 patients were recruited and tested with each patient's BP measured twice in the table position and compared with BP measured in the chair position. To eliminate concern for position sequence, a randomized controlled trial was initially conducted.

Results: Significant TDB for the digit zero was identified in BPs measured by all nurses using a manual device. No such bias was identified for any nurse when measuring BP with an automated device. For the positional study, the randomized controlled study showed no significant sequencing effect therefore the sequence of table then chair BP measurements was adopted. Significant BP lowering was observed in 128 patients (42.7%) in the chair compared with the table position. Misclassification of prehypertension and hypertension would have occurred in 15.3% and 16% of patients, respectively, when BP was recorded in the table instead of the chair position.

Conclusions: Significant TDB was identified for all nurses when using a manual but not an automated device. Patient positioning on the examination table resulted in elevations of systolic and diastolic BPs.

  • Blood Pressure
  • Hypertension
  • Patient Positioning
  • Prehypertension

The prevalence of hypertension is increasing in the United States and worldwide, causing a significant burden of disease.1 Hypertension doubles the risk of coronary heart disease, congestive heart failure, stroke, chronic kidney disease, and peripheral arterial disease. Among all risk factors, hypertension ranks first in disability-adjusted life-years worldwide.2,3 The diagnosis of hypertension is based on indirect measurements of blood pressure (BP) using office, ambulatory, or home BP devices. Although the office BP measurement is not ideal, it is most commonly used to diagnose and monitor patients' responses to therapy. Most published trials of treatment recommendations are based on office BP measurements.4,5

BP measurements are subject to errors such as terminal digit bias (TDB)—an observer's preference for a last digit, usually zero, and a tendency to round up or down the BP measurement to that digit.7,8 Another source of error is inappropriate patient positioning (eg, having the patient sit on an examination table instead of in a comfortable chair). An observational study9 revealed that the recommended patient positioning in a chair was followed in only 10 of 25 primary care offices, and in the remaining, patients were seated on the examination table. A 5-minute rest period before measuring BP was allowed in only 10 of 25 offices, and an automated device was utilized in only 2 of 25 offices.

In a previous study using a manual (aneroid) device, we showed that such improper positioning resulted in misclassification of prehypertension and hypertension in 7.4% and 5.9% of patients, respectively.9 Although the automated device is the preferred BP measurement method, manual aneroid devices continue to be used in medical offices.8⇓⇓⇓–12 Accurate and precise office BP measurement with manual or automated devices is essential to adequately diagnose and treat hypertension.

Proper patient positioning is emphasized in the medical literature, but we could not find the impact improper positioning has on misclassification of patients as having prehypertension or hypertension. The article studies 2 commonly overlooked sources of error in measuring BP in the office—the impact of improper patient positioning and frequency of TDB. The accuracy and reliability of such measurements is of utmost importance to provide the best possible patient care.

Methods

Terminal Digit Bias (TDB)

Observational Study

BPs recorded by 3 nurses using manual (aneroid) and automated devices were analyzed for TDB. BP measurements with manual and automated devices were obtained from patient charts and categorized by observer and type of device used. The manual device used in the study was the Welch Allyn CE0297 aneroid sphygmomanometer. The automated device was the Omron Digital BP Monitor, Model HEM-907 XL, which has been certified and used in several major hypertension studies.12 Overall, 3000 BP terminal digit observations were evaluated. There were 250 systolic and 250 diastolic observations obtained by each of the 3 nurses using manual and automated devices. The frequency of terminal digits was calculated for both sets of data.

Statistical Analysis

Manual BP observations having terminal digits 0, 2, 4, 6, and 8 were analyzed using the χ2 test for independence with 4 degrees of freedom. Automated BP observations having terminal digits 0 through 9 were analyzed using the χ2 test for independence with 9 degrees of freedom. χ2 tests were performed in Microsoft Excel for each nurse with P < .01 considered statistically significant.

Effects of Patient Positioning on BP Measurements

Randomized controlled trial

A randomized controlled trial (ClinicalTrials.gov Identifier: NCT03460249) was initially conducted to evaluate the effect of sequence of patient positioning on BP measurements, that is, the sequence of table followed by chair BP measurements versus chair followed by table BP measurements. Thirty patients were randomized, and the results were analyzed with χ2 tests, finding no difference in the sequence. As a result, a table to chair sequence was adopted for the study.

Standard Deviation Estimate

To estimate the standard deviation of the automated device and observer, the BP of a healthy, nonhypertensive individual was repeatedly measured in the standard seated position. One hundred twenty BP measurements were obtained by the same observer over 2 days to minimize subject and operator fatigue. For the chair and table positions, the systolic BP standard deviations were 4.20 mm Hg and 4.33 mm Hg, respectively, and the diastolic BP standard deviations were 3.62 mm Hg and 4.26 mm Hg, respectively.

Patients

The study population consisted of patients who consecutively presented to a teaching family medicine center for a scheduled appointment. Adult patients, aged 18 years and older, were informed about the study and invited to participate. Exclusion criteria were patients who declined participation for any reason, those in significant pain or distress who may have been unable to complete the protocol, and those with limited mobility who may have had difficulty getting up to the examination table. The study was approved by a regional institutional review board for human subjects, and informed consent was obtained from the patients. There were a total of 1176 BP measurements from 294 patients. Of the 294 participants, 188 (63.9%) were female, 58 (19.7%) were diabetic, 141 (48.0%) were hypertensive, 106 (36.1%) were hyperlipidemic, 36 (12.2%) had cardiovascular disease, and 158 (53.7%) were current or formerly smokers. The median age was 50.5 years with the youngest being 18 years and the oldest, 90 years.

Data Collection

Four BP readings were obtained for each individual using an automated device, 2 in the table position followed by 2 in the chair position. BPs were measured with an automated device for most patients. Overall, 294 individuals agreed to participate and were tested. A manual device was used for patients with significant arrhythmia, such as atrial fibrillation and tachycardia, or if a measurement could not be obtained with the automated device.13 The guidelines of the American Heart Association (AHA) for patient positioning and BP measurement technique were followed.14 Before beginning the study, detailed instructions regarding proper BP measurement technique were provided to the nurses who obtained the data. A medical chart review was performed for all patients, and clinical data were obtained including age, sex, smoking status and presence of diabetes, cardiovascular disease, hypertension, and hyperlipidemia. Other than age, all collected data were binary, categorized as present or absent.

Classification of Hypertension

In accordance with the commonly used Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC-7) guideline definitions, a normal BP is below 120/80 mm Hg, prehypertension is a BP between 120 to 139 and 80 to 89 mm Hg, and hypertension is a BP equal to or above 140/90 mm Hg.4 The average systolic and diastolic BP values in the 2 positions were calculated for each patient's readings, and the patient was classified as having normal BP, prehypertension, or hypertension. Classification was repeated using another guideline published by the American College of Cardiology (ACC)/AHA in 2017, in which normal BP is defined as below 120/80 mm Hg, elevated BP as 120 to 129 and below 80 mm Hg, and hypertension as 130/80 mm Hg or above.12 Patients whose BPs showed significant lowering between average table and chair readings resulting in a change of classification from prehypertension (elevated BP) to normal or from hypertension to either prehypertension or normal were considered misclassified. For example, a patient with a table average reading of 128/87 mm Hg and a chair average reading of 118/78 mm Hg would be misclassified as having prehypertension according to the JNC-7 guideline.

Statistical Analysis

The difference between the average BP values from the table and chair positions was calculated for each patient's systolic and diastolic readings, and an unpaired t-test performed to analyze the data. The standard error of the mean of these differences was determined and a 2-sided 95% confidence upper bound for the standard error of the difference (SEd) was based on the normal distribution's upper bound of 1.96 × SEd. Using the normal distribution assumption, this results in upper bounds of 8.36 mm Hg for systolic BP and 7.74 mm Hg for diastolic BP. Patient observed differences were compared against the confidence upper bound to identify significant systolic and diastolic BP changes due to patient positioning. For example, consider a patient with 2 systolic automated BP readings in the table position averaging 129 mm Hg and 2 systolic automated BP readings in the chair position averaging 119 mm Hg. Assuming an SEd of 4.26 mm Hg and an upper bound of 8.36 mm Hg, the observed 10 mm Hg difference in average systolic BP is considered significant since the degree of random variation from the device and observer is not expected to exceed 8.36 mm Hg for systolic BP.

Data from the observational study were processed using the Binary Logistic and Probit Regression function with significant BP lowering as the dependent variable. Clinical factors identified in the data set were used as independent variables. Logistic regression was performed using the Excel Add-in Real Statistics Resource Pack software (Release 4.3, www.real-statistics.com) to determine if any of these clinical factors could predict significant lowering of BP due to change in patient positioning. We also evaluated misclassification of hypertensive disease according to clinical data subgroups.

Results

Terminal Digit Bias

Table 1 presents the distribution of terminal digits for 1 of the nurses using a manual device. In the absence of TDB, the predicted prevalence of each terminal digit is 150 and expected to be equally distributed. In this example, 350 measurements ended with a zero, indicating highly significant bias for that digit (P < .01). A preference for the terminal digit zero was found for each of the 3 nurses when measuring BP with a manual device, Table 2. The degree of TDB varied between the nurses but was highly significant for each (P < .01). No such TDB was found for any of the nurses when BP was measured with the automated device.

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Table 1.

Example Distribution of Terminal Digits for One Nurse Using a Manual Device

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Table 2.

P-Values for the χ2 Test of Equality of the Proportion of Blood Pressure Ending Digits

Effect of Patient Positioning on BP Measurements

The outcomes of the randomized controlled trial showed that the sequence of patient positioning (table to chair position followed by chair to table position vs chair to table position followed by table to chair position) did not affect the differences in BP. The results of the χ2 test for independence with 1 degree of freedom were 0.37 for systolic BP and 1.00 for diastolic BP. These findings were not significant for the positional effect at a critical value of 3.84, representing 95% probability of no difference. Thus, the sequence of table position first followed by chair position was adhered to in the subsequent part of the study.

The results of BP measurements comparing table and chair positions are summarized in Table 3. The BP was significantly lower in the chair position compared with the table position in 128 individuals (43.5%). Compared with BP measurements in the table position, 46 patients (15.6%) would have been misclassified with prehypertension, and 48 patients (16.3%) would have been misclassified with hypertension, based on the JNC-7 definition.

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Table 3.

Significant Blood Pressure Differences and Misclassification of Hypertensive Disease Using JNC-7 Guideline and ACC/AHA 2017 Guidelines

Based on the ACC/AHA guideline, 4.8% of patients would have been misclassified as having elevated BP, and 20.1% of patients would have been misclassified as having hypertension (Table 3). Logistic regression analysis of age, sex, the presence of diabetes, cardiovascular disease, hypertension, hyperlipidemia, and smoking showed that these independent factors did not predict significant diastolic BP lowering with change in patient positioning (Table 4). Interestingly, cardiovascular disease was associated with more systolic BP lowering while hyperlipidemia was associated with less systolic BP lowering.

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Table 4.

Logistic Regression of the Clinical Factors Influencing the Significant Blood Pressure Difference

Discussion

An accurate and reliable BP measurement is essential for diagnosing and managing hypertension. The family physician is ideally positioned to identify an early BP rise in asymptomatic individuals and can have a major influence on reducing hypertension-related morbidities. To achieve this goal, meticulous attention to the BP measurement technique and instruments must be followed. Sources of error may be due to the equipment used or to the individual measuring the BP. In this study, we have examined 2 such sources of error that family physicians are likely to encounter. The importance of minimizing errors is confirmed in a large meta-analysis showing that a decrease in systolic BP by 10 mm Hg results in significant reduction in the risk of coronary artery disease, stroke, and heart failure.5 Another large study by Greiver6 showed that TDB decreased from 26.6% to 15.4% since the acquisition of automated devices, and patients in sites with a high level of TDB had a higher frequency of strokes, acute myocardial infarction, and angina. This highlights the relevance of TDB and the clinical importance of minimizing or eliminating it. This study confirms and expands on previously reported findings regarding the behavior and limitations of BP measurements.12 First, we identified a highly significant TDB for all 3 nurses tested using a manual device. There was a bias for the number zero as a terminal digit. No such bias was identified with any of the same 3 nurses using an automated device. This TDB was previously described in numerous other studies,19,21⇓⇓⇓⇓⇓⇓⇓–29 most of which show that TDB is reduced but not completely eliminated by the introduction of automated devices in measuring BP. Myers and Campbell11 found evidence of TDB of 14% of readings when using the BpTRU automated device, when the expected proportion of zero terminal digits is 10%. In another study, no TDB was identified when BP were measured with a BpTRU device although the actual data are not shown.31 It is important to note that not all automated devices are necessarily similar since the BP is not directly measured but calculated based on a proprietary algorithm that differs according to each manufacturer. One study by Mengden30 showed that use of automated devices minimized TDB but there was another bias in data recording because BPs were clustered around therapeutic cutoff levels. In our study, there was no evidence of TDB when BP was measured with the OMRON automated device.

We previously reported that BP measurements obtained with the patient sitting on the examination table rather than in a chair often results in elevated levels, which can lead to misclassification of hypertension.9 A concern was raised about the chosen sequence, table first then chair position, and whether the opposite sequence would have had the same effect. A need for randomization of the order of BP measurements was also discussed in a recent review of the implications of BP measurement techniques.10 Herein, we found that the sequence of BP measurements did not affect the difference in BP between the 2 positions. No previous studies have evaluated the difference in BP between table versus sitting positions and the impact of such improper positioning on misclassification of prehypertension and hypertension when BP is measured with an automated device. Lacruz et al17 found a significant increase in BP in the sitting versus lying-down position.

We previously found that the chair position resulted in a significant decrease in BP compared with the table position in 30.4% of patients when using a manual device.9 In this study, we also found that the chair position resulted in a significant and even greater decrease in BP compared with the table position in 42.7% of patients when using an automated device. Further, we found more misclassification of prehypertension and hypertension using either the JNC-7 or ACC/AHA guidelines when the BP is predominantly measured with the automated compared with the manual method. The reasons for these differences between devices are not known but may result from another type of observer bias. When using a manual device, an observer's knowledge of the BP initially measured in the table position may affect the BP reading in subsequent measurements. This is an example of anchoring bias,16 which is not expected to occur with an automated device. Further studies exclusively using automated devices are needed to confirm the lack of anchoring bias. Furthermore, highly significant TDB was identified with the use of a manual but not with an automated device.

Limitations

A weakness of our study is that BP was measured only twice in each position. Other studies have obtained 3 or more measurements to ensure a stable and reliable BP level.13,17 However, in a recent study of BP measurements and mortality, only 2 measurements were obtained, and an average was calculated.18 We have similarly chosen to obtain only 2 BP readings to better simulate real-life conditions that are likely to be encountered in a busy primary care practice.

Conclusions

There are numerous national and international guidelines about BP thresholds for diagnosing hypertension, but regardless of the definitions used, it is essential to accurately and reproducibly obtain BP measurements. The commonly accepted method of choice for BP measurement is ambulatory 24-hour monitoring.14,15 It is however used mostly in research, and its implementation to the general population remains challenging because of equipment cost and other difficulties. Office measurements remain the most widely adopted method and are often supplemented by home BP monitoring.19 These results confirm the importance of proper patient positioning in a comfortable chair when measuring BP. Further, TDB occurs with manual but not with the automated device we used, thus confirming the potential advantage of automated devices in obtaining an accurate and reliable office BP measurement.19 Anchoring bias may also occur with repeated manual BP measurements, adding to the uncertainty of such measurements.

Acknowledgments

We wish to thank the nursing staff at St. Elizabeth Boardman Family Medicine Center for the data collection and the St. Elizabeth Youngstown Hospital Medical Library for literature search and retrieval.

Notes

  • This article was externally peer reviewed.

  • Funding: This study was funded by Medical Research Committee Grant 17-015.

  • Conflict of interest: none declared.

  • To see this article online, please go to: http://jabfm.org/content/32/5/732.full.

  • Received for publication March 8, 2019.
  • Revision received May 1, 2019.
  • Accepted for publication May 6, 2019.

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The Journal of the American Board of Family     Medicine: 32 (5)
The Journal of the American Board of Family Medicine
Vol. 32, Issue 5
September-October 2019
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Sources of Error in Office Blood Pressure Measurement
Roy N. Morcos, Kimbroe J. Carter, Frank Castro, Sumira Koirala, Deepti Sharma, Haroon Syed
The Journal of the American Board of Family Medicine Sep 2019, 32 (5) 732-738; DOI: 10.3122/jabfm.2019.05.190085

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Sources of Error in Office Blood Pressure Measurement
Roy N. Morcos, Kimbroe J. Carter, Frank Castro, Sumira Koirala, Deepti Sharma, Haroon Syed
The Journal of the American Board of Family Medicine Sep 2019, 32 (5) 732-738; DOI: 10.3122/jabfm.2019.05.190085
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