Year: 2026
Type: review
Abstract: Introduction: Injuries plague the construction sector, straining healthcare systems and endangering lives. Empowering workers with hazard awareness and equipping them with first-aid skills can reduce injury rates. Robust accident and emergency systems are lifesaving, yet construction sites remain among the most perilous workplaces, marked by frequent trauma, disability, and loss of life. This review examines the latest evidence on emergency care for construction-site injuries, highlighting prehospital care, rapid on-site response, and seamless coordination with the trauma system. The review uncovers common injury patterns, highlights the most effective emergency strategies, pinpoints gaps in training and preparedness, and delivers actionable recommendations. Swift recognition, decisive action, strong teamwork, and vigilant safety practices are essential for minimizing complications and saving lives during construction emergencies. To reduce workplace injuries, regular risk assessments, fitness checks for demanding roles, ongoing safety and wellness training, and the appointment of first-aid marshals are vital. Ensuring adequate qualified staff, maintaining tidy workspaces, clear walkways, visible signage, proper lighting, and comprehensive emergency response training, such as BLS-D, BTLS, PHTLS, and ATLS, all play a crucial role in building a safer construction environment. Conclusions: Construction site injuries pose a major public health and safety challenge. Timely emergency care—from basic first aid to advanced trauma treatment—is crucial for reducing illness and fatalities. Strengthening prevention, enforcing safety standards, and embracing new technologies can transform construction site safety. Multifaceted or tailored interventions are most effective, but many studies lack rigor.
Authors: Basri Lenjani, Dardan Lenjani, Agron Dogjani
Language: English
Subfield: Emergency Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $107
OpenAlex ID: W7124930220
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