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Using the Edmonton Obesity Staging System in the real world: a feasibility study based on cross-sectional data.
- Source :
-
CMAJ open [CMAJ Open] 2021 Dec 07; Vol. 9 (4), pp. E1141-E1148. Date of Electronic Publication: 2021 Dec 07 (Print Publication: 2021). - Publication Year :
- 2021
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Abstract
- Background: The Edmonton Obesity Staging System (EOSS) combined with body mass index (BMI) enables improved functional and prognostic assessment for patients. To facilitate application of the EOSS in practice, we aimed to create tools for capturing comorbidity assessments in electronic medical records and for automating the calculation of a patient's EOSS stage.<br />Methods: In this feasibility study, we used cross-sectional data to create a clinical dashboard to calculate and display the relation between BMI and EOSS and the prevalence of related comorbidities. We obtained data from the Northern Alberta Primary Care Research Network and the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). We included patients at least 18 years of age with BMI between 30 and 60 who visited a network clinic between July 2016 and July 2019. We calculated descriptive statistics and used stepwise ordinary least squares regression to assess the contributions of age, sex and BMI to EOSS variation.<br />Results: We created a clinical dashboard using the CPCSSN data presentation tool. Of the total 31 496 patients included in the study, 23 460 had a BMI of at least 30; BMI was unavailable for 8036 patients. Within each EOSS disease severity stage, there were similar proportions of patients from each BMI class (e.g., patients with EOSS stage 2 included 51.8% of those with BMI class I, 55.3% of those with BMI class II and 58.8% of those with BMI class III).<br />Interpretation: Using data from primary care electronic medical records, it was feasible to create a clinical dashboard for obesity that highlighted the severity and stage of obesity. Making this information easily accessible for individual clinical care and practice-level quality improvement may advance obesity care.<br />Competing Interests: Competing interests: For activities outside the scope of the current study, Karen Lee has received consulting fees from Alberta Health Services, United Network Studio, Christenson Group of Companies and International WELL Building Institute, as well as honoraria for conference presentations and panels from the Canadian Society of Hospital Pharmacists, the Canadian Cardiovascular Pharmacists Network and the Canadian Institute of Public Health Inspectors; Arya Sharma has received personal fees from Novo Nordisk and Bausch Pharmaceuticals; Denise Campbell-Scherer has received an unrestricted educational grant from Novo Nordisk and has served on an obesity-related advisory panel for Pfizer; and Roseanne Yeung has received personal fees from Merck, Diabetes Canada, Novo Nordisk and Sanofi, as well as grants from Astra Zeneca and Allergen. No other competing interests were declared.<br /> (© 2021 CMA Joule Inc. or its licensors.)
- Subjects :
- Adult
Alberta epidemiology
Comorbidity
Cross-Sectional Studies
Electronic Health Records statistics & numerical data
Feasibility Studies
Female
Health Impact Assessment
Humans
Male
Physical Functional Performance
Quality Improvement
Sentinel Surveillance
Body Mass Index
Obesity diagnosis
Obesity epidemiology
Patient Acuity
Primary Health Care methods
Primary Health Care standards
Prognosis
Subjects
Details
- Language :
- English
- ISSN :
- 2291-0026
- Volume :
- 9
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- CMAJ open
- Publication Type :
- Academic Journal
- Accession number :
- 34876416
- Full Text :
- https://doi.org/10.9778/cmajo.20200231