Burn model system national longitudinal database representativeness by race, ethnicity, gender, and age

Model System:

Burn

Reference Type:

Journal article

Accession No.:

J89137

Journal:

PM & R

Year, Volume, Issue, Page(s):

2022 , 14, 4, 452-461

Publication Website:

Abstract:

Study assessed whether the Burn Model System (BMS) National Database, one of the largest prospective, longitudinal, multi-center research repositories collecting patient-reported outcomes after burn injury, is representative of the population that is eligible to participate. Eligibility for the database is based on burn size and receipt of autografting surgery. Data on 982 adult burn survivors who were eligible for the BMS Database from 2015 to 2019 were analyzed. Race, ethnicity, gender, and age were compared between individuals who did and did not enroll. Regression analysis examined the correlation between demographic characteristics and study enrollment. Additional regression analysis examined the association between enrollment and the intersection of race, ethnicity, and gender. Of those who were eligible, 72.1 percent Enrolled and 27.9 percent were Not Enrolled. The Enrolled group included more female and more younger survivors compared to the Not Enrolled group. In regression analyses, Black/African American burn survivors were less likely and individuals identifying as female were more likely to enroll in the BMS Database. Furthermore, White men and women were more likely to enroll compared to Black/African American men and women, and non-Hispanic/Latino men were more likely to enroll compared to Hispanic/Latino men. This study found differences in the BMS Database enrollment by race, ethnicity, and gender. Further research is warranted to investigate causes for the disparities found in this study. In addition, strategies are needed to improve enrollment to ensure future representativeness.

Author(s):