Burns and socioeconomic deprivation: the experience of an adult burns centre

Beyond individual factors: a critical ethnographic account of urban residential fire risks, experiences, and responses in single-room occupancy (SRO) housing

BACKGROUND

Burn injuries are a significant public health concern, closely linked to housing conditions and socioeconomic status. Residents in socioeconomically deprived neighbourhoods are at increased risk of exposure to hazards due to older and poorer housing conditions and limited access to fire protection measures. Individual behaviours such as substance use, smoking, and hoarding are often highlighted as primary causes of residential fires, overshadowing the broader socioeconomic and structural factors that also play a significant role in housing safety. This paper explores the correlation between inadequate housing conditions and heightened fire risks leading to burn injuries, focusing on the contextual factors shaping everyday urban fire risks, experiences, and responses of residents living in Single-Room Occupancy (SRO) housing in Vancouver's Downtown East Side (DTES) and staff working in the fire, health, housing (social and private), and non-profit sectors.

METHODS

As part of an ongoing ethnographic study, we partnered with the Vancouver Fire Rescue Services (VFRS) to conduct participant observations in private, non-profit, and government-owned SROs, modular homes, and a temporary shelter. This paper synthesizes insights from participant observations from the first author's self-reflexive journals, including informal conversations with approximately fifty-nine individuals such as SRO tenants, SRO managers/caretakers, health workers, burn survivors, municipal staff, not-for-profit staff, and firefighters.

RESULTS

Urgent housing-related issues contributing to inequitable everyday urban fire risks were identified, such as structural deficiencies in SRO buildings and systems, inadequate waste management and storage, and inequitable approaches to addressing hoarding. Additionally, disparities in access to information and the interaction between interpersonal and structural stigmas were significant factors, underscoring the pressing need for intervention.

CONCLUSION

Communities like DTES, facing precarious housing conditions, disadvantaged neighbourhoods, and complex health and social challenges, necessitate a comprehensive and holistic approach to fire prevention and safety. Recognizing the interplay between housing instability, mental and physical health issues, unregulated toxic drug supply, drug criminalization, and structural inequities allows practitioners from various sectors to develop contextually driven fire prevention strategies. This multifaceted approach transcends individual-level behaviour change and is crucial for addressing the complex issues contributing to fire risks in underserved communities.

Examination of Pediatric Burn Incidence and the Impact of Social Determinants of Health in Florida

Introduction Burn injuries are a major mechanism of trauma worldwide, caused by friction, cold, heat, radiation, chemical, or electric sources. Most often, burn injuries occur due to heat contact from hot liquids, solids, or fire, termed scald burns and flame burns, respectively. These types of injuries are complex and carry major injury and mortality risks, especially in pediatric populations. Burn trauma prevention has been a major focus in the US, with initiatives to increase public health outreach and safety measures. Unfortunately, children in socioeconomically disadvantaged situations may face these types of injuries at disproportionately higher rates, and we aim to highlight these disparities, if any, within our Florida community. Materials and methods This study was designed as a retrospective observational analysis using publicly available data from the Florida Health Community Health Assessment Resource Tool Set (CHARTS). Data was extracted for nonfatal burn injuries resulting in ED visits in the years 2018-2020. This data was limited to those ranging from 0 to 19 years old and converted to rates of burn injuries per 100,000. Sociodemographic details for each county were recorded from County Health Rankings & Roadmaps and compared with burn data in each respective county. Frequencies were generated for categorical data, and statistical analyses for burn rates and sociodemographic details were performed with a generalized linear model using a Poisson distribution and bivariate correlation for a p < 0.05. Results In Florida, the median annual burn rate per 100,000 was 136 (IQR: 96-179), with Jackson county holding the highest rate of 323 and Glades, Hardee, and Lafayette each holding a rate of 0. Of the 18 socioeconomic factors examined, a total of five were found to have no statistically significant effect on nonfatal burn injury ED visits: severe housing problems, percentage of Asians, teen births, percentage of children (<18 years) in poverty, and severe housing cost burden. The two most important factors to be found in nonfatal burn ED visits of pediatric patients were the percentage of those younger than 19 years old without health insurance and the average grade level performance of third-grader reading scores. When adjusting for the small sample size using Firth's bias-adjusted estimates and overdispersion, both reading scores and those without insurance play a significant role in pediatric burn injuries. For each increase in a single point in reading scores, the incidence rate ratio decreases by 97.1% (95% CI). For every percentage increase in children insured, there is a 28.8% decrease in pediatric burn injuries (95% CI). Conclusions This analysis highlights increased pediatric burn rates across multiple social determinants of health (SDOH) in all 67 Florida counties. The findings here demonstrate that there may continue to be a disproportionate distribution of burn rates among lower and higher sociodemographic areas. This study further highlights this trend within the Florida community, and continued research will be necessary to meet the needs of lower sociodemographic areas to improve burn rates in vulnerable populations, such as children, who are at increased risk of injury.

Post-Burn Psychosocial Outcomes in Pediatric Minority Patients in the United States: An Observational Cohort Burn Model System Study

Racial and ethnic minority burn patients face barriers to longitudinal psychosocial support after injury. Studies utilizing the Burn Model System (BMS) National Database report adult minority patients experience worse psychosocial outcomes in domains such as body image during burn recovery. No study to date has investigated disparities in psychosocial outcomes by racial or ethnic category in the pediatric population using the BMS database. This observational cohort study addresses this gap and examines seven psychosocial outcomes (levels of anger, sadness, depression, anxiety, fatigue, peer relationships, and pain) in pediatric burn patients. The BMS database is a national collection of burn patient outcomes from four centers in the United States. BMS outcomes collected were analyzed using multi-level, linear mixed effects regression modeling to examine associations between race/ethnicity and outcomes at discharge after index hospitalization, and 6- and 12-months post-injury. A total of 275 pediatric patients were included, of which 199 (72.3%) were Hispanic. After burn injury, of which the total body surface area was significantly associated with racial/ethnicity category (p < 0.01), minority patients more often reported higher levels of sadness, fatigue, and pain interference and lower levels of peer relationships compared to Non-Hispanic, White patients, although no significant differences existed. Black patients reported significantly increased sadness at six months (β = 9.31, p = 0.02) compared to discharge. Following burn injury, adult minority patients report significantly worse psychosocial outcomes than non-minority patients. However, these differences are less profound in pediatric populations. Further investigation is needed to understand why this change happens as individuals become adults.

The effect of self-inflicted burns on ABSI score prediction power: A four-year prospective multicenter study of the German Burn Registry

BACKGROUND

Suicide attempted by self-inflicted burns are associated with lower survival rates compared to accident related burns.

OBJECTIVE

We investigate the relation between self-inflicted burns (SIB) and survival rates and how this relation is moderated by variables used to predict survival rates in the ABSI score, a widely used measure. Additionally, we compare the predicted survival rates by the ABSI score to the actual rates in our sample for SIB and accident patients.

METHODS

In this prospective multicenter study data from the German Burn Registry are statistically analyzed using two sided t-test and multivariate linear regression models.

RESULTS

5330 patients (214 with SIB) met our inclusion criteria. We find a 6.8 percentage points lower survival rate for patients with SIB when we control for patient condition with the five ABSI components as covariates. These higher mortality rates can be explained by the higher rate of therapy restrictions for patients with self-inflicted burns. Additionally, different ABSI modifications can improve the predictive power of the score.

CONCLUSION

Patients with SIB have lower survival rates compared to accident patients. Recently proposed modifications of the ABSI score can improve the accuracy of survival rate prediction for SIB.

Potential for Machine Learning in Burn Care

INTRODUCTION

Burn-related injuries are a leading cause of morbidity across the globe. Accurate assessment and treatment have been demonstrated to reduce the morbidity and mortality. This essay explores the forms of artificial intelligence to be implemented the field of burns management to optimise the care we deliver in the National Health Service (NHS) in the UK.

METHODS

Machine Learning methods which predict or classify are explored. This includes linear and logistic regression, artificial neural networks, deep learning, and decision tree analysis.

DISCUSSION

Utilizing Machine Learning in burns care holds potential from prevention, burns assessment, predicting mortality and critical care monitoring to healing time. Establishing a regional or national Machine Learning group would be the first step towards the development of these essential technologies.

CONCLUSION

The implementation of machine learning technologies will require buy-in from the NHS health boards, with significant implications with cost of investment, implementation, employment of machine learning teams and provision of training to medical professionals.