Literature DB >> 28795870

Positive predictive value between medical-chart body-mass-index category and obesity versus codes in a claims-data warehouse.

Eleanor O Caplan1, Pravin S Kamble1, Raymond A Harvey1, B Gabriel Smolarz2, Andrew Renda3, Jonathan R Bouchard2, Joanna C Huang2.   

Abstract

OBJECTIVE: To evaluate the positive predictive value of claims-based V85 codes for identifying individuals with varying degrees of BMI relative to their measured BMI obtained from medical record abstraction.
METHODS: This was a retrospective validation study utilizing administrative claims and medical chart data from 1 January 2009 to 31 August 2015. Randomly selected samples of patients enrolled in a Medicare Advantage Prescription Drug (MAPD) or commercial health plan and with a V85 claim were identified. The claims-based BMI category (underweight, normal weight, overweight, obese class I-III) was determined via corresponding V85 codes and compared to the BMI category derived from chart abstracted height, weight and/or BMI. The positive predictive values (PPVs) of the claims-based BMI categories were calculated with the corresponding 95% confidence intervals (CIs).
RESULTS: The overall PPVs (95% CIs) in the MAPD and commercial samples were 90.3% (86.3%-94.4%) and 91.1% (87.3%-94.9%), respectively. In each BMI category, the PPVs (95% CIs) for the MAPD and commercial samples, respectively, were: underweight, 71.0% (55.0%-87.0%) and 75.9% (60.3%-91.4%); normal, 93.8% (85.4%-100%) and 87.8% (77.8%-97.8%); overweight, 97.4% (92.5%-100%) and 93.5% (84.9%-100%); obese class I, 96.9 (90.9%-100%) and 97.2% (91.9%-100%); obese class II, 97.0% (91.1%-100%) and 93.0% (85.4%-100%); and obese class III, 85.0% (73.3%-96.1%) and 97.1% (91.4%-100%).
CONCLUSIONS: BMI categories derived from administrative claims, when available, can be used successfully particularly in the context of obesity research.

Entities:  

Keywords:  Obesity; body mass index; claims analysis; validation studies

Mesh:

Year:  2017        PMID: 28795870     DOI: 10.1080/03007995.2017.1366302

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  2 in total

1.  Association Between Prediabetes/Diabetes and Asthma Exacerbations in a Claims-Based Obese Asthma Cohort.

Authors:  Tianshi David Wu; Emily P Brigham; Corinne A Keet; Todd T Brown; Nadia N Hansel; Meredith C McCormack
Journal:  J Allergy Clin Immunol Pract       Date:  2019-03-08

Review 2.  Validated methods for identifying individuals with obesity in health care administrative databases: A systematic review.

Authors:  Sékou Samadoulougou; Leanne Idzerda; Roxane Dault; Alexandre Lebel; Anne-Marie Cloutier; Alain Vanasse
Journal:  Obes Sci Pract       Date:  2020-09-04
  2 in total

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