Assessing Real World Effect of Laparoscopic Bariatric Surgery on Healthcare Costs- a Retrospective Matched Cohort Study using a U.S. Administrative Claims Database

Aims:To study the association of body mass index (BMI) and insulin use with type 2 diabetesrelated healthcare expenditures (T2D-HE).Materials and methods: Retrospective study using de-identified electronic health records linked to insurance claims data. Study included a prevalence-based sample of overweight or obese patients with antihyperglycaemic-treated T2D. Patients had ≥1 A1c measurement in 2014 (last observed = index A1c), ≥1 BMI measurement within ±90 days of index (average BMI = baseline BMI), and continuous enrolment for 180 days before (baseline) through 395 days after index (day 30-395 = follow-up). BMI was categorized as: 25 to 29.9 kg/m 2 = overweight; 30 to 34.9 kg/m 2 = obese class I (OCI); 35 to 39.9 kg/m 2 = OCII; ≥40 kg/m 2 = OCIII. Multivariable regressions were used to examine one-year follow-up T2D-HE as a function of BMI, insulin use, an interaction term between BMI and insulin use, and patient demographics.Results: Study included 13 026 patients (mean age = 63.6 years; 48.1% female; 29.5% overweight, 31.6% OCI, 20.3% OCII, 18.6% OCIII; 25.3% insulin users). Baseline insulin use rates monotonically ranged from 19.7% in overweight patients to 33.0% in OCIII patients (P < 0.001).Together, BMI and insulin use were jointly associated with one-year follow-up T2D-HE, which monotonically ranged from $5842 in overweight patients with no insulin to $17 700 OCIII insulin users, P < 0.001. Within each BMI category, insulin users' one-year T2D-HE was at least double that of non-users. Additional analyses of all-cause healthcare expenditures yielded consistent results.Conclusions: BMI and insulin use represent simple stratifiers for identifying high-cost patients.

show abstract

Body mass index and insulin use as identifiers of high‐cost patients with type 2 diabetes: A retrospective analysis of electronic health records linked to insurance claims data

Johnston

Ammann

Kashyap

et al. 2019

Diabetes Obesity Metabolism

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

334 Leonard St

Brooklyn, NY 11211

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Assessing Real World Effect of Laparoscopic Bariatric Surgery on Healthcare Costs- a Retrospective Matched Cohort Study using a U.S. Administrative Claims Database

Cited by 1 publication

References 16 publications

Body mass index and insulin use as identifiers of high‐cost patients with type 2 diabetes: A retrospective analysis of electronic health records linked to insurance claims data

Body mass index and insulin use as identifiers of high‐cost patients with type 2 diabetes: A retrospective analysis of electronic health records linked to insurance claims data

Contact Info

Product

Resources

About