OTOtherJournal of occupational rehabilitation2023

Exploring the Health and Economic Burden Among Truck Drivers in Australia: A Health Economic Modelling Study.

Peter Lee, Ting Xia, Ella Zomer and 6 others

PMID 36357754

WHAT IT FOUND

The model estimated 6067 work-related deaths among Australian male truck drivers, AU$485 million healthcare costs and AU$2.6 billion productivity loss over 10 years.

A hypothetical 10% health-burden reduction modelled AU$263 million in productivity savings.

Key findings

01Over 2021–2030, the model estimated 6067 lives lost to work-related diseases or injury in the truck driving industry.

02Healthcare costs, including hospitalisations and medications, were estimated at AU$485 million.

03A hypothetical 10% reduction in truck driver health burden was modelled to save over AU$48 million in healthcare costs and AU$263 million in lost productivity.

STILL TO COME

How it was doneWhat they foundWhat it means for OTs

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What it does not show

This is an economic model, not a clinical trial or patient study, so it estimates burden and hypothetical savings rather than showing that a treatment works. It only modelled Australian male truck drivers, so it says nothing about women truck drivers or other transport workers. The model used workers' compensation claims, so unclaimed injuries, self-employed workers and non-compensable cases were not captured. It assumed truck driver health burden and mortality risk stayed constant over the modelled period, and applied the same mortality risk across ages despite older drivers having greater risk. Productivity estimates used general population presenteeism data and assumed truck drivers had multiple diagnosed health conditions, because truck-driver-specific presenteeism data were unavailable. Labour force dropout was assumed to be higher for truck drivers, without industry-specific participation data. The data were collected before the COVID-19 pandemic, which may have changed driver health and work patterns.

Declared interests

The supplied text does not include a conflicts of interest or funding declaration; the publication types list 'Research Support, Non-U.S. Gov't'.

The easy way to misread this

Do not read the modelled savings from a 2% or 10% reduction in health burden as evidence that a real intervention would achieve those savings. The study did not test any intervention, and the savings came from assumptions in an economic model.

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