MBSAQIP database: are the data reliable?

Surg Obes Relat Dis. 2024 Feb;20(2):160-164. doi: 10.1016/j.soard.2023.08.018. Epub 2023 Sep 4.

Abstract

Background: The Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) database collects data from all accredited centers in the US. A prior study showed data quality issues limiting use of up to 20% of the 2015 database.

Objectives: To evaluate the completeness and data quality (internal validity, accuracy, and consistency) of the MBSAQIP database between 2015 and 2019.

Setting: United States.

Methods: All subsets of data from the MBSAQIP Participant User Data File (PUDF) were compiled into one main file. Completeness, internal validity, accuracy, and consistency were evaluated. Completeness was determined via missing values. Internal validity was assessed using the percentage of patients with a body mass index (BMI) < 30 kg/m2 who underwent primary bariatric surgery. Accuracy was evaluated using reported versus calculated BMI. Consistency was assessed using the percentage of patients with a gain of >5 or a loss of >20 units of BMI change in 30 days. Effects across years were assessed using a chi-squared test.

Results: Missing data for age, BMI, and ASA was consistently low (<2.5%) with no significant difference across years. Only .02% of patients who underwent a primary bariatric procedure had a reported BMI <30 kg/m2. The mean difference between reported versus calculated BMI was -.02 units. A maximum of .33% of patients gained >5 units of BMI, and a maximum of .85% of patients lost > 20 units of BMI in early follow-up.

Conclusions: While the MBSAQIP is a database with acceptable data quality and minimal changes from 2015-2019, ongoing efforts are needed to improve data.

MeSH terms

  • Accreditation
  • Bariatric Surgery* / methods
  • Child, Preschool
  • Gastrectomy / methods
  • Gastric Bypass*
  • Humans
  • Obesity, Morbid* / surgery
  • Quality Improvement
  • Retrospective Studies
  • Treatment Outcome
  • United States / epidemiology