A rigorous algorithm to detect and clean inaccurate adult height records within EHR systems

Applied Clinical Informatics

Volumn 5, Issue 1, 2014, Pages 118-126

  Muthalagu, A ^a   Pacheco, J A ^a   Aufox, S ^a   Peissig, P L ^b   Fuehrer, J T ^b   Tromp, G ^c   Kho, A N ^d   Rasmussen Torvik, L J ^d  

^a NORTHWESTERN UNIVERSITY   (United States)

^b MARSHFIELD CLINIC   (United States)

^c WEIS CENTER FOR RESEARCH   (United States)

^d NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Body mass index; Dimensional measurement accuracy; Electronic health record; Electronic medical record; Height; Phenotyping

Indexed keywords

ADULT; ALGORITHM; BODY HEIGHT; ELECTRONIC MEDICAL RECORD; FEMALE; HUMAN; MALE; MIDDLE AGED;

ADULT; ALGORITHMS; BODY HEIGHT; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; MALE; MIDDLE AGED;

EID: 84901285890     PISSN: None     EISSN: 18690327     Source Type: Journal    
DOI: 10.4338/ACI-2013-09-RA-0074     Document Type: Article

References (15)

1. Noel PH, Copeland LA, Perrin RA, Lancaster AE, Pugh MJ, Wang CP, Bollinger MJ, Hazuda HP. VHA Corporate Data Warehouse height and weight data: opportunities and challenges for health services research. Journal of rehabilitation research and development 2010; 47(8): 739-750.PubMed PMID: 21141302. Epub 2010/12/15. eng.
2. Lipman TH, McGinley A, Hughes J, Minakami J, Layden VM, Ratcliffe S, Hench K. Evaluation of the accuracy of height assessment of premenopausal and menopausal women. J Obstet Gynecol Neonatal Nurs 2006; 35(4): 516-22.PubMed PMID: 16881996. Epub 2006/08/03.
3. Sorkin JD, Muller DC, Andres R. Longitudinal change in the heights of men and women: consequential effects on body mass index. Epidemiologic reviews 1999; 21(2): 247-260.PubMed PMID: 10682261. Epub 2000/02/22.
4. Joss EE, Temperli R, Mullis PE. Adult height in constitutionally tall stature: accuracy of five different height prediction methods. Arch Dis Child 1992; 67(11): 1357-1362.PubMed PMID: 1471886.PubMed Central PMCID: 1793786. Epub 1992/11/01.
5. Siminoski K, Warshawski RS, Jen H, Lee K. The accuracy of historical height loss for the detection of vertebral fractures in postmenopausal women. Osteoporosis international: a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 2006; 17(2): 290-296.PubMed PMID: 16143833. Epub 2005/09/07.
6. Kho AN, Pacheco JA, Peissig PL, Rasmussen L, Newton KM, Weston N, Crane PK, Pathak J, Chute CG, Bielinski SJ, Kullo IJ, Li R, Manolio TA, Chisholm RL, Denny JC. Electronic medical records for genetic research: results of the eMERGE consortium. Sci Transl Med 2011; 3(79): 79 re1.PubMed PMID: 21508311. Epub 2011/04/22.
7. Newton KM, Peissig PL, Kho AN, Bielinski SJ, Berg RL, Choudhary V, Basford M, Chute CG, Kullo IJ, Li R, Pacheco JA, Rasmussen LV, Spangler L, Denny JC. Validation of electronic medical record-based phe-notyping algorithms: results and lessons learned from the eMERGE network. J Am Med Inform Assoc 2013.PubMed PMID: 23531748. Epub 2013/03/28.
8. Kho AN, Hayes MG, Rasmussen-Torvik L, Pacheco JA, Thompson WK, Armstrong LL, Denny JC, Peissig PL, Miller AW, Wei WQ, Bielinski SJ, Chute CG, Leibson CL, Jarvik G P, Crosslin DR, Carlson CS, Newton KM, Wolf WA, Chisholm RL, Lowe WL. Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study. J Am Med Inform Assoc 2012; 19(2): 212-218.PubMed PMID: 22101970.PubMed Central PMCID: 3277617. Epub 2011/11/22.
9. Gudbjartsson DF, Walters GB, Thorleifsson G, Stefansson H, Halldorsson BV, Zusmanovich P, Sulem P, Thorlacius S, Gylfason A, Steinberg S, Helgadottir A, Ingason A, Steinthorsdottir V, Olafsdottir EJ, Olafs-dottir GH, Jonsson T, Borch-Johnsen K, Hansen T, Andersen G, Jorgensen T, Pedersen O, Aben KK, Witjes JA, Swinkels DW, den Heijer M, Franke B, Verbeek AL, Becker DM, Yanek LR, Becker LC, Tryggvadottir L, Rafnar T, Gulcher J, Kiemeney LA, Kong A, Thorsteinsdottir U, Stefansson K. Many sequence variants affecting diversity of adult human height. Nat Genet 2008; 40(5): 609-615.PubMed PMID: 18391951.
10. Hellerstein JM. Quantitative data cleaning for large databases. United Nations Economic Commission for Europe (UNECE) 2008.
11. Lyratzopoulos G, Heller RF, Hanily M, Lewis PS. Risk factor measurement quality in primary care routine data was variable but nondifferential between individuals. J Clin Epidemiol 2008; 61(3): 261-267.PubMed PMID: 18226749. Epub 2008/01/30.
12. Green BB, Anderson ML, Cook AJ, Catz S, Fishman PA, McClure JB, Reid R. Using body mass index data in the electronic health record to calculate cardiovascular risk. Am J Prev Med 2012; 42(4): 342-347.PubMed PMID: 22424246.PubMed Central PMCID: 3308122. Epub 2012/03/20.
13. Yoong SL, Carey ML, D'Este C, Sanson-Fisher RW. Agreement between self-reported and measured weight and height collected in general practice patients: a prospective study. BMC medical research methodology 2013; 13: 38.PubMed PMID: 23510189.PubMed Central PMCID: 3599990. Epub 2013/03/21.
14. Stommel M, Schoenborn CA. Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES & NHIS 2001-2006. BMC public health 2009; 9: 421.PubMed PMID: 19922675.PubMed Central PMCID: 2784464. Epub 2009/11/20.
15. Connor Gorber S, Tremblay M, Moher D, Gorber B. A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review. Obes Rev 2007; 8(4): 307-326.PubMed PMID: 17578381. Epub 2007/06/21.