Systematic review and Meta-analysis of Mobilization Alarms to Prevent Falls in Hospitals.

Abstract ID
4483
Authors' names
Terry Haines1, Kelly Stephen1, Ravi Manohar1, Hanne Dolan2, Meghan Campbell3, Alison Bravington4, Ron Shorr5, Debbie Pu1.
Author's provenances
1 Monash University, 2 Arizona State University, 3 Independent researcher, 4 Bradford Teaching Hospitals NHS Foundation Trust, 5 University of Florida & Malcolm Randall Geriatric Research Education and Clinical Centre Department of Veterans Affairs.
Abstract category
Abstract sub-category
Conditions

Abstract

Mobilisation alarms are commonly used in hospital settings as a means to reduce falls, making up 11% of resources consumed to prevent hospital falls. However, recent trials have concluded that use of mobilisation alarms may be a form of low-value care.

Design: Systematic review and meta-analysis of randomised and non-randomised trials.

Search strategy: MEDLINE, Embase, CINAHL and Scopus with additional reference list and Google Scholar searching. Screening and data extraction undertaken by two independent reviewers.

Risk of bias assessment: ROB-II for RCTs and ROBINS-I for non-RCTs.

Measurements: Outcome measures included rate of falls, rate of injurious falls, proportion of patients who fell during observation period. Explanatory measures for meta-regression included variables related to the intervention, to the comparison condition, the trial design, trial population, data analysis, trial setting and population, and relationship to industry.

Results: 1447 titles/abstracts were screened, 129 articles received full-text review, 56 (11 RCTs, 45 non-randomized) were included in meta-analyses with some reporting more than one comparison.

Pooled incidence rate ratio (95%CI) of falls when exposed to alarms when just considering RCTs (n=13 comparisons, 11 studies) was 0.93 (0.83 to 1.04); and for injurious falls (n=7, 6) was 1.00 (0.87 to 1.16); while mean difference (95% CI) in rate of falls/1000 OBD (n=9, 8) was -0.20 (-1.03 to 0.64); and odds ratio for becoming a faller (n=5, 5) was 1.11 (0.91 to 1.35). Multiple meta-regression analyses yielded result even more strongly indicating null-effect, and consistently identified prospective registration as the most protective factor against studies reporting over-optimistic results. 

Discussion: Use of bed alarms appears to be a form of low-value care, with negligible effects evident from randomised trials. Widespread use of alarms could be being driven by findings from non-randomised studies which report substantially more beneficial results. Protection from these spurious results may arise from pre-registration of study details, which is a much lower-cost alternative than conducting a RCT though needs to be done in advance of data collection which may present challenges in some contexts.