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Disinvestment in the presence of uncertainty: Description of a novel, multi-group, disinvestment trial design and protocol for an application to reduce or cease use of mobilisation alarms for preventing falls in hospitals

Terry P Haines, Mari Botti, Natasha Brusco, Lisa O’Brien, Bernice Redley, Kelly-Ann Bowles, Alison Hutchinson, Debra Mitchell, Joanna Jellett, Kate Steen, Leanne Boyd, Melinda Webb-St Mart, Melissa Raymond, Peter Hunter, Phillip Russo, Rachel Bonnici, Dai Pu, Samantha Sevenhuysen, Vicki Davies and Ronald Shorr

PLOS ONE, 2021, vol. 16, issue 12, 1-17

Abstract: Disinvestment is the removal or reduction of previously provided practices or services, and has typically been undertaken where a practice or service has been clearly shown to be ineffective, inefficient and/or harmful. However, practices and services that have uncertain evidence of effectiveness, efficiency and safety can also be considered as candidates for disinvestment. Disinvestment from these practices and services is risky as they may yet prove to be beneficial if further evidence becomes available. A novel research approach has previously been described for this situation, allowing disinvestment to take place while simultaneously generating evidence previously missing from consideration. In this paper, we describe how this approach can be expanded to situations where three or more conditions are of relevance, and describe the protocol for a trial examining the reduction and elimination of use of mobilisation alarms on hospital wards to prevent patient falls. Our approach utilises a 3-group, concurrent, non-inferiority, stepped wedge, randomised design with an embedded parallel, cluster randomised design. Eighteen hospital wards with high rates of alarm use (≥3%) will be paired within their health service and randomly allocated to a calendar month when they will transition to a “Reduced” (

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0261793

DOI: 10.1371/journal.pone.0261793

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