Evidence map›Paper›PMID 41784615›Full record

ArticleAnnals of work exposures and health2026

Drilling down on roster design: comparing fly-in fly-out roster patterns in the West Australian mining industry.

Tim D Smithies, Grace E Vincent, Sally A Ferguson, Gemma Maisey, Holly Fraser, Ian C Dunican

Abstract read
In one paragraph

Article in Annals of work exposures and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tim D SmithiesAppleton Institute and School of Health, Medical and Applied Sciences, Central Queensland University, 44 Greenhill Road, Wayville, Adelaide, South Australia 5034, Australia.ORCID 0000-0002-8026-5134
Grace E VincentAppleton Institute and School of Health, Medical and Applied Sciences, Central Queensland University, 44 Greenhill Road, Wayville, Adelaide, South Australia 5034, Australia.
Sally A FergusonAppleton Institute and School of Health, Medical and Applied Sciences, Central Queensland University, 44 Greenhill Road, Wayville, Adelaide, South Australia 5034, Australia.
Gemma MaiseyRio Tinto Iron Ore, Western Australia, Australia.
Holly FraserMelius Consulting, North Fremantle, Western Australia 6159, Australia.
Ian C DunicanMelius Consulting, North Fremantle, Western Australia 6159, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Roster schedule design is integral to an effective Fatigue Risk Management System, and can impact worker health, safety, employee satisfaction, psychological health, productivity, and cost. However, fatigue-based roster scheduling decisions are frequently made using little or no supporting data. This analysis aims to provide objective fatigue-risk data for roster schedules commonly used within Western Australian mining fly-in-fly-out operations. Ten of the most common roster schedules within the abovementioned context were identified, as were two highly pertinent factors: day/night shift start/finish times, and commute duration to/from individuals' home airports. In total, 150 combinations of roster schedules, shift start/finish times, and commute durations were analyzed using the Fatigue Audit InterDyne (FAID®, Interdynamics Pty Ltd) Standard biomathematical model. Through this analysis, we show that earlier shift start/finish times increase predicted fatigue-risk for day shifts and decrease predicted fatigue-risk for night shifts. Additionally, when finishing a roster schedule on night shifts, much of the commute home from the airport may be at a high fatigue-risk. This risk further increases when the roster includes later finish times. This project presents a comprehensive data-driven comparison of fly-in fly-out shifts and roster schedules specific to Western Australian fly-in fly-out mining operations. The results from this novel analysis should not be used in a prescriptive manner; however, they aim to provide new insight that may assist decision-making around roster scheduling for fly-in fly-out mining operations globally.

Indexed as

FatigueMiningPersonnel Staffing and SchedulingShift Work ScheduleWork Schedule ToleranceHumansOccupational HealthRisk ManagementWestern AustraliaWorking Conditionsbiomathematical modelingfatigue-risknon-standard workrisk-based approachshiftwork

Identifiers

PMID41784615
PMCPMC13016775

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.