Country-level surveillance — example: United States and OSHA data
National surveillance systems provide complementary insights. For example, the U.S. Bureau of Labor
Statistics and OSHA reported 5,283 fatal work injuries in 2023 (≈3.5 fatalities per 100,000 FTE), reflecting
sectoral patterns similar to global data. Such national statistics are critical for benchmarking, but under-
reporting remains a concern in many jurisdictions. [2]
Climate change and heat exposure
Climate-driven hazards are rapidly altering occupational risk landscapes. Multiple ILO and UN analyses
estimate that over 2.4 billion workers are exposed to excessive heat, yielding tens of millions of non-fatal
injuries and nearly 19,000 heat-related deaths annually, alongside large productivity losses and growing
burdens of chronic kidney disease in exposed workers. Heat exposure disproportionately affects outdoor and
manual labourers, and regions in Africa, Asia and the Arab states show the highest exposures. Responses must
integrate prevention, adaptation, and social protections. [1, 5]
Digitalization and Psychosocial Risk
Digitalization and the AI-driven transformation of work are reshaping psychosocial risk profiles. Remote and
gig work, algorithmic scheduling, and intensified monitoring can increase stress, erode autonomy, and reduce
opportunities for safety learning through on-site peer interaction. EU-OSHA and ILO events highlight both
safety gains (automation of hazardous tasks) and risks (new human-system interaction failures and mental-
health concerns). These developments require adaptive governance and an updated safety culture that addresses
psychosocial safety. [2]
INTEGRATIVE MODEL: HOW CULTURE AND CLIMATE INTERACT TO
PRODUCE SAFETY PERFORMANCE
I propose a parsimonious, multilevel integrative model (Figure 1, conceptual) that links organizational
antecedents, emergent climate, worker behaviors and outcomes, and external contextual drivers:
1. Macro/contextual drivers: national regulation, labor market structures, climate change, industry
hazards, technology diffusion.
2. Organizational antecedents: leadership commitment, safety management systems (policies, training,
resources), worker participation structures, and safety governance.
3. Safety culture: deep values and norms (leadership safety priority, learning orientation, blame vs just
culture).
4. Safety climate: employees’ shared perceptions of management commitment, communication, training,
and enforcement (measured at unit level).
5. Behavioral mechanisms: compliance, safety participation, hazard reporting, risk communication.
6. Outcomes: safety performance (injury rates, near misses), health (disease burden), productivity and
financial outcomes (direct and indirect costs).
7. Feedback loops: incident investigations and learning modify culture and climate; regulations and
market pressures feed back to organizational antecedents.
This model emphasizes that culture and climate operate at different depths and time scales: culture changes
slowly via leadership and socialization; climate can be more rapidly influenced by targeted interventions
(visible leadership actions, communication campaigns, enforcement). The model supports mixed interventions
(policy + leadership development + structural changes) and underscores measurement at multiple levels
(individual, unit, organization). Empirical studies support many of the model’s pathways, including mediation
by psychosocial factors and moderation by sector and hazard type. [4]