Implementation outcomes in a large workplace sedentary behaviour cluster randomised trial
ISPAH ePoster Library. Buman M. Oct 16, 2018; 225149
Matthew Buman
Matthew Buman
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Abstract
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Abstract Introduction:<\b>
Interventions to reduce sedentary time in the worksite have emerged as an important public health priority. Multi-level approaches (i.e., individual, social, environmental, and policy level strategies), along with the provision of sit-stand workstations, have been efficacious for reducing sedentary time. However, factors related to real-world implementation of these approaches are not well established. Methods:<\b>
We conducted Stand & Move at Work, a worksite intervention targeting reductions in sitting through the provision of sit-stand workstations and the delivery of a 12-month multi-level behavioral intervention. This large-scale cluster randomized trial was completed in 24 worksites across two large US metropolitan regions and in three worksite sectors: government, academic, and healthcare/industry. The implementation outcomes of the study included metrics of reach, implementation, and maintenance and how these outcomes impacted behavioral changes at the worksite level (i.e., effectiveness). Implementation outcomes were drawn from worksite environmental- and policy-level audits, employee and leader surveys, and qualitative interviews. Results:<\b>
In total, worksite reach of the intervention was 52%; however, this varied widely between worksites. Implementation fidelity approached 100% among primary interventions components (i.e., e-newsletter delivery, sit-stand workstation installation, leader support emails); however, secondary intervention components (e.g., competitions/contests, standing/walking meetings, waste and recycle bin removals) varied considerably in their implementation, as did maintenance (> 12 months) of intervention components. Differences in implementation factors by worksite sector and other characteristics will be discussed. Conclusion:<\b>
This work has direct implications for scaling up efficacious worksite interventions for maximal population health impact. External funding details US National Institutes of Health (R01CA198971)
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