1. Driving change: A partnership study protocol using shared emergency department data to reduce alcohol-related harm.
- Author
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D'Este C., Shepherd J., Barker D., Hyder S., Miller P., Droste N., Egerton-Warburton D., Caldicott D., Fulde G., Coomber K., Ezard N., Preisz P., Walby A., Lloyd-Jones M., Doran C., Stella J., Sheridan M., Baker T., Hall M., Shakeshaft A., Havard A., Bowe S., Staiger P.K., D'Este C., Shepherd J., Barker D., Hyder S., Miller P., Droste N., Egerton-Warburton D., Caldicott D., Fulde G., Coomber K., Ezard N., Preisz P., Walby A., Lloyd-Jones M., Doran C., Stella J., Sheridan M., Baker T., Hall M., Shakeshaft A., Havard A., Bowe S., and Staiger P.K.
- Abstract
Background: Sharing anonymised ED data with community agencies to reduce alcohol-related injury and assaults has been found effective in the UK. This protocol document outlines the design of an Australian multi-site trial using shared, anonymised ED data to reduce alcohol-related harm. Design and Method: Nine hospitals will participate in a 36 month stepped-wedge cluster randomised trial. After a 9 month baseline period, EDs will be randomised in five groups, clustered on geographic proximity, to commence the intervention at 3 monthly intervals. 'Last-drinks' data regarding alcohol use in the preceding 12 h, typical alcohol consumption amount, and location of alcohol purchase and consumption, are to be prospectively collected by ED triage nurses and clinicians at all nine EDs as a part of standard clinical process. Brief information flyers will be delivered to all ED patients who self-report risky alcohol consumption. Public Health Interventions to be conducted are: (i) information sharing with venues (via letter), and (ii) with police and other community agencies, and (iii) the option for public release of 'Top 5' venue lists. Outcome(s): Primary outcomes will be: (i) the number and proportion of ED attendances among patients reporting recent alcohol use; and (ii) the number and proportion of ED attendances during high-alcohol hours (Friday and Saturday nights, 20.00-06.00 hours) assigned an injury diagnosis. Process measures will assess logistical and feasibility concerns, and clinical impacts of implementing this systems-change model in an Australian context. An economic cost-benefit analysis will evaluate the economic impact, or return on investment.Copyright © 2019 Australasian College for Emergency Medicine
- Published
- 2019