Safety and Health Metrics (LTIFR)
operationalbehavioral · safety · rate · organization
The frequency of lost-time work-related injuries per million hours worked, capturing workplace safety performance.
How it’s computed
- Formula
- LTIFR = (Number of lost-time injuries / Total hours worked) * 1,000,000
- Measurement model
- operational (a formula over systems data) — not a reflective survey scale; “reliability” here means data quality, not internal consistency
What it operationalizes
This metric measures the construct(s) below from operational data. Through them, it connects to the meta-analytic relationship network — the bridge from what you measure operationally to what the science knows.
What we know
Synthesized Bayesian priors over relationships involving this metric’s construct(s) — the meta-analytic evidence, with 95% confidence intervals and between-study heterogeneity (I²). Follow a row for the full distribution, contributing studies, and code.
| Relationship | r (95% CI) | I² | k | Evidence |
|---|---|---|---|---|
| ← Safety Climate (predicts) | [-0.25, -0.23] | 0% | 3 | meta-analytic |
| ← Employee Engagement (predicts) | [-0.21, -0.17] | — | 1 | meta-analytic |
| ← Safety compliance (predicts) | [-0.22, -0.18] | — | 1 | meta-analytic |
The evidence
Attributed quotes from open-access papers, classified for stance against the relationship. Sourced and classified by Principia (no third-party feed) — displayable under each paper’s license.
“A study, for instance, confirmed that a supportive safety climate is correlated with reduced occupational injuries [41].” supports
Safety Climate → Occupational injuries · Safety Climate in the Indonesian Construction Industry: Strengths, Weaknesses and Influential Demographic Characteristics (2022) · doi · CCBY
“Regarding engagement and the accident rate, there is evidence that when workers are engaged, the perceived job security climate is linked to a decrease in labour demands, and in general, there is a decrease in incidents of occupational accidents, as well as a lower frequency of behaviours that expose them to accidents [30].” supports
Safety Climate → Occupational injuries · Ultrashort Version of the Utrecht Work Engagement Scale (UWES-3): A Psychometric Assessment (2022) · doi · CCBY
“…example, similar occupational H&S studies (not specific to mining) have shown that management support or management commitment is the strongest predictor of worker behaviors and injury outcomes compared to other safety climate constructs [Beus et al. 2010; Christian et al. 2009; DeJoy et al. 2010].” supports
Safety Climate → Occupational injuries · Assessing the impact of safety climate constructs on worker performance in the mining industry. (2020) · doi
“For example, similar occupational H&S studies (not specific to mining) have shown that management support or management commitment is the strongest predictor of worker behaviors and injury outcomes compared to other safety climate constructs [Beus et al. 2010; Christian et al. 2009; DeJoy et al. 2010].” supports
Safety Climate → Occupational injuries · Assessing the impact of safety climate constructs on worker performance in the mining industry. (2020) · doi
Use it
Track Safety and Health Metrics (LTIFR) and its drivers in the People Analytics Toolbox — the registry’s evidence wired into deployable measurement.
Related metrics
Programmatic access: /api/v1/metrics/metric.lost_time_injury_frequency_rate · /api/v1/evidence-statements?construct=construct.occupational_injuries.