Dataset Information

Prevalence and recognition of obesity and its associated comorbidities: cross-sectional analysis of electronic health record data from a large US integrated health system.

ABSTRACT:

Objective

To determine the prevalence of obesity and its related comorbidities among patients being actively managed at a US academic medical centre, and to examine the frequency of a formal diagnosis of obesity, via International Classification of Diseases, Ninth Revision (ICD-9) documentation among patients with body mass index (BMI) ?30?kg/m².

Design

The electronic health record system at Cleveland Clinic was used to create a cross-sectional summary of actively managed patients meeting minimum primary care physician visit frequency requirements. Eligible patients were stratified by BMI categories, based on most recent weight and median of all recorded heights obtained on or before the index date of 1July 2015. Relationships between patient characteristics and BMI categories were tested.

Setting

A large US integrated health system.

Results

A total of 324?199 active patients with a recorded BMI were identified. There were 121?287 (37.4%) patients found to be overweight (BMI ?25?and <29.9), 75?199 (23.2%) had BMI 30-34.9, 34?152 (10.5%) had BMI 35-39.9 and 25?137 (7.8%) had BMI ?40. There was a higher prevalence of type 2 diabetes, pre-diabetes, hypertension and cardiovascular disease (P value<0.0001) within higher BMI compared with lower BMI categories. In patients with a BMI >30 (n=134?488), only 48% (64 056) had documentation of an obesity ICD-9 code. In those patients with a BMI >40, only 75% had an obesity ICD-9 code.

Conclusions

This cross-sectional summary from a large US integrated health system found that three out of every four patients had overweight or obesity based on BMI. Patients within higher BMI categories had a higher prevalence of comorbidities. Less than half of patients who were identified as having obesity according to BMI received a formal diagnosis via ICD-9 documentation. The disease of obesity is very prevalent yet underdiagnosed in our clinics. The under diagnosing of obesity may serve as an important barrier to treatment initiation.

SUBMITTER: Pantalone KM

PROVIDER: S-EPMC5702021 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Publications

Prevalence and recognition of obesity and its associated comorbidities: cross-sectional analysis of electronic health record data from a large US integrated health system.

Pantalone Kevin M KM Hobbs Todd M TM Chagin Kevin M KM Kong Sheldon X SX Wells Brian J BJ Kattan Michael W MW Bouchard Jonathan J Sakurada Brian B Milinovich Alex A Weng Wayne W Bauman Janine J Misra-Hebert Anita D AD Zimmerman Robert S RS Burguera Bartolome B

BMJ open 20171116 11

<h4>Objective</h4>To determine the prevalence of obesity and its related comorbidities among patients being actively managed at a US academic medical centre, and to examine the frequency of a formal diagnosis of obesity, via International Classification of Diseases, Ninth Revision (ICD-9) documentation among patients with body mass index (BMI) ≥30 kg/m<sup>2</sup>.<h4>Design</h4>The electronic health record system at Cleveland Clinic was used to create a cross-sectional summary of actively manag ...[more]

PMID: 29150468

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Dataset Information

Prevalence and recognition of obesity and its associated comorbidities: cross-sectional analysis of electronic health record data from a large US integrated health system.

Objective

Design

Setting

Results

Conclusions

Publications

Prevalence and recognition of obesity and its associated comorbidities: cross-sectional analysis of electronic health record data from a large US integrated health system.

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