Literature DB >> 17925905

Sphygmomanometer calibration--why, how and how often?

Martin J Turner1, Catherine Speechly, Noel Bignell.   

Abstract

BACKGROUND: Hypertension is the most commonly managed problem in general practice. Systematic errors in blood pressure measurements caused by inadequate sphygmomanometer calibration are a common cause of over- and underidentification of hypertension.
OBJECTIVE: This article reviews sphygmomanometer error and makes recommendations regarding in service maintenance and calibration of sphygmomanometers. DISCUSSION: Most sphygmomanometer surveys report high rates of inadequate calibration and other faults, particularly in aneroid sphygmomanometers. Automatic electronic sphygmomanometers produce systematic errors in some patients. All sphygmomanometers should be checked and calibrated by an accredited laboratory at least annually. Aneroid sphygmomanometers should be calibrated every 6 months. Only properly validated automatic sphygmomanometers should be used. Practices should perform regular in house checks of sphygmomanometers. Good sphygmomanometer maintenance and traceable sphygmomanometer calibration will contribute to reducing the burden of cardiovascular disease and the number of patients overtreated for hypertension in Australia.

Entities:  

Mesh:

Year:  2007        PMID: 17925905

Source DB:  PubMed          Journal:  Aust Fam Physician        ISSN: 0300-8495


  13 in total

1.  The extent of inaccurate aneroid sphygmomanometers in a hospital setting.

Authors:  Dimitri A Cozanitis; Christopher J Jones
Journal:  Wien Med Wochenschr       Date:  2010-07

Review 2.  Automated 'oscillometric' blood pressure measuring devices: how they work and what they measure.

Authors:  James E Sharman; Isabella Tan; George S Stergiou; Carolina Lombardi; Francesca Saladini; Mark Butlin; Raj Padwal; Kei Asayama; Alberto Avolio; Tammy M Brady; Alan Murray; Gianfranco Parati
Journal:  J Hum Hypertens       Date:  2022-05-30       Impact factor: 3.012

3.  2022 Guidelines of the Taiwan Society of Cardiology and the Taiwan Hypertension Society for the Management of Hypertension.

Authors:  Tzung-Dau Wang; Chern-En Chiang; Ting-Hsing Chao; Hao-Min Cheng; Yen-Wen Wu; Yih-Jer Wu; Yen-Hung Lin; Michael Yu-Chih Chen; Kwo-Chang Ueng; Wei-Ting Chang; Ying-Hsiang Lee; Yu-Chen Wang; Pao-Hsien Chu; Tzu-Fan Chao; Hsien-Li Kao; Charles Jia-Yin Hou; Tsung-Hsien Lin
Journal:  Acta Cardiol Sin       Date:  2022-05       Impact factor: 1.800

4.  Protocol to improve hypertension management in a VA outpatient clinic.

Authors:  Leo Gozdecki; Holly Kramer; Matthew Thomas; Karam Gardezi; Elizabeth Tarlov; Ashley Hughes; Kevin Stroupe; Meghan O'Halloran
Journal:  J Hum Hypertens       Date:  2022-01-24       Impact factor: 3.012

5.  Noninvasive techniques for blood pressure measurement are not a reliable alternative to direct measurement: a randomized crossover trial in ICU.

Authors:  Sara Ribezzo; Eleonora Spina; Stefano Di Bartolomeo; Gianfranco Sanson
Journal:  ScientificWorldJournal       Date:  2014-01-30

6.  Prevalence and Predictors of Use of Home Sphygmomanometers Among Hypertensive Patients.

Authors:  Hira Zahid; Aisha Amin; Emaan Amin; Summaiya Waheed; Ameema Asad; Ariba Faheem; Samreen Jawaid; Adila Afzal; Sarah Misbah; Kanza Majid
Journal:  Cureus       Date:  2017-04-11

7.  A New Blood Pulsation Simulator Platform Incorporating Cardiovascular Physiology for Evaluating Radial Pulse Waveform.

Authors:  Tae-Heon Yang; Jaeuk U Kim; Young-Min Kim; Jeong-Hoi Koo; Sam-Yong Woo
Journal:  J Healthc Eng       Date:  2019-02-11       Impact factor: 2.682

8.  A single-pieced, fully air-driven, cuff-inserted pseudo-blood pressure generator for on-site pre-screening test of non-invasive blood pressure monitor by nurses.

Authors:  Young Jun Hwang; Gun Ho Kim; Sung Uk Yun; Kyoung Won Nam
Journal:  Biomed Eng Online       Date:  2019-10-16       Impact factor: 2.819

9.  Deep learning-based robust automatic non-invasive measurement of blood pressure using Korotkoff sounds.

Authors:  Ji-Ho Chang; Il Doh
Journal:  Sci Rep       Date:  2021-12-03       Impact factor: 4.379

10.  Prevalence and factors associated with prediabetes and diabetes in fishing communities in penang, Malaysia: A cross-sectional study.

Authors:  Fairuz Fadzilah Rahim; Surajudeen Abiola Abdulrahman; Siti Fatimah Kader Maideen; Abdul Rashid
Journal:  PLoS One       Date:  2020-02-10       Impact factor: 3.240

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