ArticlePM & R : the journal of injury, function, and rehabilitation2022
Burn model system national longitudinal database representativeness by race, ethnicity, gender, and age.
Article in PM & R : the journal of injury, function, and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Physical and psychosocial outcomes among burn-injured people with heterotopic ossification: A burn model system study.Burns : journal of the International Society for Burn Injuries · 2024Article
- Balance Impairment in the Burn Population: A Burn Model System National Database Study.European burn journal · 2024Article
- Higher Out-of-pocket Expenses are Associated with Worse Health-related Quality of Life in Burn Survivors: A Northwest Regional Burn Model System Investigation.Journal of burn care & research : official publication of the American Burn Association · 2023Article
- Epidemiology and clinical characteristics of burns in mainland China from 2009 to 2018.Burns & trauma · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
introductionRepresentativeness of research populations impacts the ability to extrapolate findings. The Burn Model System (BMS) National Database is one of the largest prospective, longitudinal, multi-center research repositories collecting patient-reported outcomes after burn injury.
objectiveTo assess if the BMS Database is representative of the population that is eligible to participate.
designData on adult burn survivors who were eligible for the BMS Database from 2015 to 2019 were analyzed.
settingNot applicable.
participantsBurn survivors treated at BMS centers meeting eligibility criteria for the BMS Database. Eligibility for the database is based on burn size and receipt of autografting surgery.
interventionsNot applicable. MAIN OUTCOME MEASURE(S): 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.
resultsA total of 982 adult burn survivors were eligible for the BMS database during the study period. Of those who were eligible, 72.1% Enrolled and 27.9% 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.
conclusionsThis study found differences in 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.