RSSB's T1278 Research Maps MSD Risk Across UK Rail. Objective Data Is How the Industry Acts On It.
- Jul 1
- 6 min read
RSSB has released the full survey database behind T1278, Exploring the opportunities to reduce the risk of musculoskeletal disorders in UK rail — the first industry-wide study of musculoskeletal disorder (MSD) risk in UK heavy rail. For the first time, rail organisations have access to industry-level evidence on where MSD risk sits: which roles, which tasks, which risk factors.
The findings confirm what many health and safety teams have long suspected but could not previously evidence at scale.
What T1278 found
The survey gathered 6,186 responses across more than 50 heavy rail job roles, with role-specific analysis of 25 of them. The headline findings:
94% of respondents experienced a musculoskeletal issue in the past 12 months, and over 40% were confident work-related factors caused their issue — rising to 60–70% in some roles.
Lower back issues affected 64% of respondents, the most common issue across job roles, with some roles exceeding 70%.
Musculoskeletal issues are likely underreported by around 12% across the industry — and by as much as 20–25% in some roles — with organisational culture and reporting procedures identified as the main barriers.
Detailed MSD data across the industry is limited and inconsistently captured, making it difficult for organisations to identify trends, understand causation, and target interventions.
This is against a backdrop where MSDs account for approximately one in four days of sickness absence in UK rail and cost the industry an estimated £89 million per year.
RSSB identifies four priority areas: mitigating high-risk tasks, reducing underreporting, improving MSD data collection and management, and developing rail-specific MSD guidance. The full report and survey database are available from the RSSB Research Catalogue.
The common thread is data
Look closely at those four priority areas and a pattern emerges. Three of them are, at root, data problems.
Mitigating high-risk tasks requires knowing — not estimating — which tasks are actually high-risk. Traditional observational assessment captures a snapshot of a task performed under observation, filtered through an assessor's judgement. It struggles to detect cumulative loading across a shift, technique variation between workers, or risks that only appear under real operational pressure.
Reducing underreporting is usually framed as a cultural challenge, and culture matters. But there is a structural answer too: risk evidence that does not depend on workers reporting symptoms at all. Objective biomechanical measurement identifies exposure before it becomes an injury, and before it becomes a report that may never be filed.
And improving MSD data collection is precisely a question of capturing standardised, quantified, comparable data — the kind that observational methods, by their nature, cannot produce consistently.
T1278 gives the industry a map of where risk sits at role level. Acting on it requires the same quality of evidence at task level, within each organisation's own operations. That is what objective biomechanical assessment provides.
Evidence from across the railway
T1278 analyses roles across four environments: onboard, station, trackside, and depot. SpatialCortex's MOVA wearable assessment technology has now been deployed in all four.
Station and onboard operations — Transport for Wales
The partnership with Transport for Wales began when SpatialCortex won cohort 2 of the TfW Lab accelerator, selected to address manual handling injury risk across trackside and depot work. It has since grown into an operational deployment: MOVA assessments across station and onboard roles — including station staff, passenger companions and catering hosts — identified risks spanning training, technique, equipment design, and infrastructure, including the biomechanical evidence that led Network Rail to fully replace a barrow crossing at Carmarthen in May 2026. Across the programme, TfW recorded a 67.5% reduction in the annualised manual handling injury rate among the assessed staff group. The findings were peer-reviewed and presented at the CIEHF Ergonomics & Human Factors Conference 2026 in a paper co-authored with TfW.
Passenger assistance — LNER
In a pilot with LNER, MOVA MMH assessed passenger assistance operations — boarding support, luggage handling, and wheelchair ramp deployment — side by side with traditional HSE MAC observational assessment under identical conditions. MOVA reduced assessment time by approximately 75%, from 90–120 minutes to around 20 minutes per assessment, while producing quantified exposure data suitable for ALARP documentation. All participating staff reported no disruption to their normal duties.
Depot operations — Transport for Wales, Canton depot
MOVA has also been used to conduct objective assessments of manual handling tasks in depot operations at TfW's Canton depot in Cardiff — a continuation of the depot-focused remit identified when the partnership began, and an environment T1278 identifies as carrying its own distinct MSD risk profile.
Track and infrastructure — Amey Infrastructure Wales
With Amey Infrastructure Wales and Network Rail, MOVA has been used to assess a range of track and infrastructure tasks — track maintenance, fencing, devegetation, and arborist work — as well as capturing objective data on the physical strain of ascending large structures in real-world conditions, informing ongoing work on practical solutions for one of the railway's most physically demanding task types.
Mapping objective assessment to RSSB's four priority areas
Mitigate high-risk tasks. MOVA quantifies biomechanical exposure task by task, worker by worker, across full shifts — identifying which tasks genuinely drive risk and providing before-and-after evidence that interventions work. At TfW, this evidence distinguished between risks requiring training changes, equipment changes, and infrastructure changes.
Reduce underreporting. Objective measurement identifies risk exposure independently of symptom reporting. Workers do not need to report a problem for the organisation to see one developing.
Improve MSD data collection and management. MOVA produces standardised, quantified, auditable assessment data aligned to HSE frameworks (MAC, RAPP, ART) — directly addressing RSSB's finding that inconsistent, non-standardised data prevents organisations identifying trends and targeting effort.
Develop rail-specific guidance. Evidence from rail deployments is already entering the peer-reviewed literature, including the TfW findings published at CIEHF 2026 — contributing to the rail-specific evidence base RSSB identifies as lacking.
From industry-level insight to organisational action
T1278 is a significant piece of work, and the release of the underlying database makes it more than a report — it is a starting point for targeted action. The organisations that benefit most will be those that pair RSSB's industry-level picture with objective, task-level evidence from their own operations.
If your organisation is reviewing its MSD risk profile in light of T1278, we would welcome a conversation about what objective biomechanical assessment has delivered for rail operators and infrastructure teams — and what it could show you.
Frequently Asked Questions (FAQs)
What is RSSB's T1278 research?
T1278, Exploring the opportunities to reduce the risk of musculoskeletal disorders in UK rail, is the first industry-wide study of MSD risk in UK heavy rail, conducted by the Rail Safety and Standards Board at the request of the Rail Wellbeing Alliance. It surveyed 6,186 rail workers across more than 50 job roles and identified four priority areas for the industry: mitigating high-risk tasks, reducing underreporting, improving MSD data collection, and developing rail-specific guidance. The full report and survey database are available from the RSSB Research Catalogue.
Why is objective data important for managing MSD risk in rail?
T1278 found that MSDs are underreported by an estimated 12% across the industry, and that inconsistent data collection prevents organisations identifying trends and targeting interventions. Objective biomechanical measurement addresses both: it quantifies risk exposure independently of symptom reporting and produces standardised, comparable data across tasks, roles, and sites.
How does MOVA support the priority areas identified in T1278?
MOVA provides quantified, task-level biomechanical assessment aligned to HSE frameworks. It identifies which tasks drive MSD risk, measures exposure without relying on worker reporting, generates standardised auditable data, and contributes rail-specific evidence to the peer-reviewed literature.
Where has MOVA been deployed in UK rail?
MOVA has been deployed across station and onboard operations with Transport for Wales — including station staff, passenger companions and catering hosts, in a partnership that began when SpatialCortex won cohort 2 of the TfW Lab accelerator — as well as passenger assistance operations with LNER, depot operations at TfW's Canton depot, and track and infrastructure work with Amey Infrastructure Wales and Network Rail spanning track maintenance, fencing, devegetation, arborist tasks, and ascending large structures. Together these cover the four operational environments analysed in T1278.
What results have rail deployments delivered?
At Transport for Wales, the assessed staff group recorded a 67.5% reduction in the annualised manual handling injury rate, and biomechanical evidence contributed to Network Rail's full replacement of a barrow crossing at Carmarthen. In the LNER pilot, MOVA reduced assessment time by approximately 75% compared with traditional HSE MAC assessment while producing exposure data suitable for ALARP documentation.
