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The fall incidence rates were 1.5% (95% CI: 0.9–2.6) and 0.4% (95% CI: 0.2–1.1) in the control and intervention groups, respectively. The relative risk estimate of 0.29 (95% CI: 0.1–0.87) favours the intervention group. In conclusion the study showed that targeted multiple interventions were effective in reducing the incidences of falls in patients in the acute care setting.
A randomized prospective design was implemented at one acute care hospital in Singapore between April 2005 and December 2006. They compared the effectiveness of two interventions (targeted multiple interventions with usual care versus usual care only) on patients identified as high-risk for falls over 8 months.
Newly admitted patients from medical, surgical, oncology, orthopedic and gynaecology wards participated. Inclusion criteria were age of 18 years or older, and agreement to participate in the study. Patients were excluded if they were in the study wards before the start of the study, or if they had fallen before the fall-risk assessment was carried out.
The study used a falls assessment tool to identify patients at risk for falls. Those who had scores of 5 and above using the Hendrich II Fall Risk Model were recruited into the study. The Hendrich II Fall Risk Model used in this study had been validated on 5489 patients in this setting (Ang et al. 2007). The study showed that the Hendrich II Fall Risk Model showed the best balance of sensitivity (70%, 95% CI: 57.5–80.1) and specificity (61.5%, 95% CI: 60.2–62.8). The accuracy of the Hendrich II Fall Risk Model at the published cut-off point, measured using Area under the Curve (AUC), was 73%. The researchers used incidence of falls as a measurement of the outcome in this study. Patients’ occurrence falls information was retrieved from the entries made by the ward nurses into the hospital eHOR system. On top of these, it is the research nurses that screened and enrolled the patient into the study. The ward
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