Literature DB >> 22414017

Measuring body mass index according to protocol: how are height and weight obtained?

Jessica L J Greenwood1, Scott P Narus, Jennifer Leiser, Marlene J Egger.   

Abstract

Previous investigation at our resident-teaching, family medicine clinics determined that >80% of adult patients have body mass index (BMI) recorded in the electronic medical record. The quality of this measure, however, is not known. The objective of this study was to determine the accuracy of documented BMI. We used an observational study design to determine the means by which clinic staff obtain height and weight values from patients. We found that staff only obtained 35.4% of these measurements according to protocol. The major reason for noncompliance with protocol was that shoes were not removed for the measurements. Our investigation indicated that providers, quality improvement teams, and researchers should not assume the accuracy of the recorded BMI. Future investigation is warranted to improve the quality of these measurements in the outpatient setting.
© 2010 National Association for Healthcare Quality.

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Year:  2010        PMID: 22414017     DOI: 10.1111/j.1945-1474.2010.00115.x

Source DB:  PubMed          Journal:  J Healthc Qual        ISSN: 1062-2551            Impact factor:   1.095


  4 in total

1.  The correlation between self-reported and measured height, weight, and BMI in reproductive age women.

Authors:  Lauren W Roth; Amanda A Allshouse; Jennifer Lesh; Alex J Polotsky; Nanette Santoro
Journal:  Maturitas       Date:  2013-08-16       Impact factor: 4.342

2.  Inference-based correction of multi-site height and weight measurement data in the All of Us research program.

Authors:  Mirza S Khan; Robert J Carroll
Journal:  J Am Med Inform Assoc       Date:  2022-03-15       Impact factor: 4.497

3.  Cardiometabolic risk assessments by body mass index z-score or waist-to-height ratio in a multiethnic sample of sixth-graders.

Authors:  Henry S Kahn; Laure El ghormli; Russell Jago; Gary D Foster; Robert G McMurray; John B Buse; Diane D Stadler; Roberto P Treviño; Tom Baranowski
Journal:  J Obes       Date:  2014-07-14

4.  Reducing Clinical Noise for Body Mass Index Measures Due to Unit and Transcription Errors in the Electronic Health Record.

Authors:  Robert Goodloe; Eric Farber-Eger; Jonathan Boston; Dana C Crawford; William S Bush
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2017-07-26
  4 in total

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