Background: Race and socioeconomic status influence outcomes for adult and pediatric burn patients, yet the impact of these factors on elderly patients (Medicare eligible, 65 years of age) remains unknown.
Methods: Data pooled from three verified burn centers from 2004 to 2014 were reviewed retrospectively. Age, race, gender, percent total body surface area (%TBSA) burn, mortality, length of stay (LOS), LOS per %TBSA burn, and zip code which provided Census data on race, poverty, and education levels within a community were collected. Data were analyzed using logistic and generalized linear models in SAS version 9.4 (SAS Institute, Cary, NC, USA).
Results: Our population was mainly Caucasian (63%), African American (18%), Hispanic (7.6%), and Asian (3.5%). Mean age was 76.3 ± 8.3 years, 52.5% were male. Mean %TBSA was 9 ± 13.8%; 15% of the patients sustained an inhalation injury. The mortality rate was 14.4%. Inhalation injury was significantly associated with mortality and discharge to a skilled nursing facility (SNF) (p < 0.05). Race was significantly associated with socioeconomic disparities and affected LOS/TBSA, but not discharge to SNF or mortality on univariate analysis. Poverty level, education level, and insurance status (others vs. public) independently predicted SNF discharge, while median income and insurance type independently predicted LOS/TBSA.
Conclusion: In this elderly cohort, race did not predict standard markers of burn outcome (mortality and discharge to SNF). Socioeconomic status independently predicted LOS and discharge to SNF, suggesting a relationship between socioeconomic status and recovery from a burn injury. Better understanding of racial and socioeconomic disparities is necessary to provide equitable treatment of all patients.
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http://dx.doi.org/10.1016/j.burns.2020.10.025 | DOI Listing |
BMC Public Health
January 2025
Faculty of Health Sciences, Department of Internal Medicine Nursing, Sakarya University, Sakarya, 54050, Turkey.
Background: Adults with diabetes encounter various challenges related to managing their condition. In this study, we explored the experiences of adults with type 2 diabetes mellitus with low socioeconomic status in Türkiye.
Methods: This study was conducted as a phenomenological qualitative research.
Sci Rep
January 2025
Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.
There is limited understanding of socioeconomic inequality in multimorbidity in Iran. This study aims to investigate socioeconomic inequality in multimorbidity among adults in western Iran. Data from the Ravansar Non-Communicable Disease (RaNCD) cohort study were used in this cross-sectional study.
View Article and Find Full Text PDFEur J Pediatr
January 2025
Department of Emergency and Critical Care Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Unlabelled: Poor consumption of fruits and vegetables is associated with an increased risk of non-communicable diseases, micronutrient deficiency, and undernutrition. Fruit and vegetable consumption is generally low worldwide, particularly in rural regions of many low- and middle-income countries. This study aimed to determine the prevalence and determinants of zero vegetable or fruit consumption among children aged 6 to 23 months in Kenya using the most recent Kenya Demographic and Health Survey.
View Article and Find Full Text PDFEur J Intern Med
January 2025
Department of Pathology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Importance: Optimal data availability for secondary use is crucial for continuous improvement in healthcare. At the same time, it is imperative to uphold patients' rights to be informed, to control the use of their health data and to protect their privacy. To balance these two needs, we investigated which consent procedure (opt-in or opt-out) would be most supportive of data availability.
View Article and Find Full Text PDFEpidemiology
January 2025
Department of Epidemiology, John Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Background: Collaborative research consortia provide an efficient method to increase sample size, enabling evaluation of subgroup heterogeneity and rare outcomes. In addition to missing data challenges faced by all cohort studies like nonresponse and attrition, collaborative studies have missing data due to differences in study design and measurement of the contributing studies.
Methods: We extend ROSETTA, a latent variable method that creates common measures across datasets collecting the same latent constructs with only partial overlap in measures, to define a common measure of socioeconomic status (SES) across cohorts with varying indicators in the Environmental influences on Child Health Outcomes Cohort, a consortium of pregnancy and pediatric cohorts.
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