Relevance: Studies evaluating specific OHS training programs in vocational or workplace settings; (4, 11–13).

Sectoral focus: Studies providing distinct accident data for high-risk sectors (construction, mining, health); (5, 8, 10, 14).

Target population: Research focusing on young workers (15–24 years) or vocational students; and (2, 3, 6).

Methodological rigor: Peer-reviewed articles utilizing valid statistical methods (e.g., SEM, regression) or rigorous qualitative analysis.

Bibliographic details: Author(s), year of publication, and country of origin.

Methodological characteristics: Study design (e.g., prospective cohort, cross-sectional, qualitative case study), sample size, and data collection instruments.

Sectoral context: The specific industry (Construction, Mining, Healthcare, etc.) and the nature of the work environment.

Intervention details: Description of the educational approach (e.g., passive lecture vs. “ZeroSicks” active model, VR simulation).

Outcome measures: Quantitative metrics (Injury Rate Ratios—IRR, accident frequency, severity indices) and qualitative outcomes (safety motivation scores, locus of control changes). To ensure reliability, the extraction was conducted iteratively, with a random sample of 20% of the papers cross-checked to verify coding accuracy.

Thematic synthesis: Qualitative findings regarding pedagogical methods (e.g., the effectiveness of active learning) were coded into themes (e.g., “Internalization of safety,” “Simulation efficacy”).

Narrative synthesis of quantitative data: Statistical findings regarding accident causes were grouped by sector. Accident frequency patterns, particularly regarding the “first-month effect,” were analyzed to identify temporal trends.

Triangulation: The qualitative themes on education gaps were mapped against the quantitative data on accident causes to identify disconnects (e.g., matching the high prevalence of “falls” in construction data with the lack of “working at heights” training in curricula).

Impact on injury rates: A prospective cohort study involving 755 young workers in France demonstrated that those who received OHS education during schooling had a “two times lower risk” of workplace injuries compared to those who did not (IRR = 0.51) (3). Similarly, specific “first aid at work” training was associated with a further reduction in injury risk (IRR = 0.68) (3).

Pedagogical methods: Traditional lecturing is less effective than active learning. In Indonesia, the implementation of the “ZeroSicks” method (Zero Accident and Sickness) in vocational high schools resulted in “excellent” safety awareness scores among students, confirmed by Structural Equation Modeling (SEM) analysis (t-value = 2.431) (12). In Finland, the “Attitude to Work” intervention, which utilized active learning techniques and safety skills training, showed positive associations with students’ safety motivation (b = 0.37) and internal safety locus of control (4). Additionally, training programs specifically designed to optimize competence have been shown to be crucial in the effective implementation of OHS practices (15).

Gaps in implementation: Despite these successes, gaps remain. In Malaysia, a needs analysis using the Fuzzy Delphi method indicated that current curricula are insufficient and require improvements in “safety motivation” and “safety communication” components (7). In Bhutan, while trainees showed high awareness of PPE usage (mean rating 4.09), the lack of management support and monitoring hindered the practical application of these skills (16). In Sudan, a lack of training was identified as a key factor in accidents involving defective equipment in the engineering sector (17).

Construction: Falls from heights and being struck by objects are the dominant causes of fatalities. In Malaysia, falls accounted for 32% of fatal accidents (8). A meta-analysis of the Greek construction industry identified “worker training deficiencies” as a top-level accident factor, specifically linking lack of training to falls and slippage (5). In South Korea, trend analysis revealed that construction accidents often stem from inadequate safety management in smaller projects (18).

Mining: In the mining sector, Bayesian network analysis identified “safety training” as the single most influential factor on accident severity (44.76% influence), surpassing even experience (10). In Spain, mining accidents were found to be 14 times more fatal than the average of all sectors, with machinery handling being a critical risk factor (1).

Healthcare: Unlike heavy industries, healthcare risks are often underestimated. A study in Lebanon found that while needle-stick injuries are frequent (50.25%), they are less severe than transport-related injuries among healthcare workers (OR = 5.927) (9). This implies that healthcare OHS curricula should expand beyond biological hazards to include commuting safety and ergonomic risks for nurses (9).

Manufacturing and general industry: In Italy, extreme temperatures were found to increase injury risks, particularly for young workers in the construction and trade sectors (19). In Portugal, machinery accidents remain a significant cause of occupational injuries, highlighting the need for technical safety training (14). Modern approaches, such as optimized deep learning models, are now being used to contextualize injury severity from accident reports, providing deeper insights for prevention (20). In Sudan, “caught in or between objects” was the most frequent accident type (17). Similarly, hospital trauma center data highlights that occupational injury patterns are severe and distinct, necessitating targeted safety protocols across industries (21).

The first month: Multiple studies pinpoint the initial period of employment as the highest risk zone. In Bhutanese technical institutes, “67% of all accidents occurred among workers with less than 1 month of employment” (16). Similarly, in South Korea, accident frequency was highest for workers with less than 1 month of experience (22). This sharp peak in accident frequency during the induction period and its subsequent decline is visually represented in Figure 2.

Age vs. experience: While older workers may suffer more severe injuries due to physical decline (1), young workers (18–24 age group) have a higher frequency of non-fatal injuries due to inexperience and lack of safety skills (2). Salminen’s review confirms that young workers have a higher injury rate than older workers in most countries studied (2).

The role of mentorship: Qualitative research from Canada suggests that “teaching” safety rules is not the same as “learning” to work safely. Apprentices often side-step safety rules to meet production demands unless they are guided by experienced co-workers who can demonstrate how to balance safety with productivity (6).

Firm size: Smaller firms often lack the resources for comprehensive OHS training. Studies in Italy confirm a relationship between firm size and injury rates, with smaller firms often exhibiting higher risks (23). In Spain, mining accidents were also correlated with company size (1).

Economic development: A longitudinal study in Iran found a significant relationship between the Human Development Index (HDI) and occupational accidents, suggesting that as a country’s education and economic levels rise, safety performance improves (24). Similarly, economic analysis in China revealed a negative correlation between GDP growth and fatal workplace incidents (25).

Safety culture: In Brazil, the introduction of the “Accident Prevention Factor” policy led to a reduction in accidents, but continuous education is needed to sustain this culture (26). A global meta-analysis on PPE usage indicated that safety culture and regulations significantly influence whether workers use protective equipment (27).

1. Implement “Transition simulations” in curricula: To address the high accident rates in the first month of employment (16, 22), VET institutions should introduce mandatory “induction simulations” in the final semester. These should mimic the pressure and lack of supervision of a real workplace, testing students’ ability to identify hazards under stress.

2. Sector-specific OHS modules: Move away from generic OHS courses.

For construction: Focus intensively on “working at heights” and “scaffolding safety” using VR or physical simulations (5, 8, 18).

For healthcare: Integrate modules on “safe commuting/transportation” and “ergonomics for patient handling” alongside standard biological hazard training (9).

For mining/industry: Emphasize machinery lockout/tagout procedures and risk assessment matrices (1, 10).

3. Adoption of active learning models: Replace passive lectures with participatory models like “ZeroSicks” or “Attitude to Work” that have statistically proven efficacy in improving safety motivation and locus of control (4, 12). Evaluating the learning outcomes of these models regularly is also essential (30).

4. Special focus on SME placements: Schools must identify students entering Small and Medium Enterprises (SMEs) for internships and provide them with additional “self-defense” OHS training, as they are unlikely to receive robust safety onboarding from their employers (1, 23).

5. Data-driven curriculum updates: Educational boards should establish a feedback loop where national accident statistics (e.g., rise in specific injury types like falls or electrocution) directly trigger updates in VET OHS curricula (25, 31). Furthermore, policy interventions must be developed to identify and support high-risk groups to prevent industrial accidents effectively (32).