Scale-up of the Stepping On fall prevention program amongst older adults in NSW: Program reach and fall-related health service use
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Updated: Dec 10, 2025

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Published on: December 9, 2014
Serene S Paul1, Qiang Li2, Lara Harvey3,4
1Discipline of Physiotherapy, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Issue Addressed:
We describe the reach of the scale-up of Stepping On, a fall prevention program targeting community-dwellers aged ≥65 years in NSW, along with fall-related ambulance service use and fall-related hospitalisations after scale-up.
Methods:
Data on program provision were received from Local Health Districts. Routinely collected fall-related ambulance usage and hospital admissions in NSW residents aged ≥65 years between 2009 and 2015 were compared within Statistical Local Areas prior to and following the implementation of Stepping On using multilevel models.
Results:
Between 2009 and 2014 the program was delivered in 1077 sites to 10 096 older adults. Rates of fall-related ambulance use and hospital admissions per 100-person-years were 1-2 in people aged 66-74, 4-5 in people aged 75-84 and 12-13 in people aged ≥85. These rates increased over time (P < .001). The interaction between time and program delivery was not significant for fall-related ambulance use or hospital admissions. The time-related increase in fall-related ambulance usage in people aged 75-84 years may have been moderated by the Stepping On program (rate ratio 0.97, 95% CI 0.93-1.00, P = .045).
Conclusions:
There was no indication of a reduced rate of fall-related ambulance use or hospital admissions across the entire sample. Ambulance call-outs for falls in people aged 75-84 years may have reduced following program participation. SO WHAT?: Program scale-ups need to reach a large proportion of the target population with a focus on those groups contributing most to fall-related health service utilisation. Linking individual participants' health data as part of large-scale evaluations may provide better insights into program outcomes.

