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KMID : 0123520230300030218
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Journal of muscle and joint health
2023 Volume.30 No. 3 p.218 ~ p.229
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Comparative Effect of Interventions for Fall Prevention in Hospitals: Network Meta-analysis
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Kang Hyun-Wook
Ko Ji-Woon
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Abstract
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Purpose: This study aimed to assess and compare the effectiveness of various fall prevention interventions in hospitalsthrough a network meta-analysis.
Methods: A network meta-analysis was conducted using the "netmeta" package in Rsoftware (v4.1), employing a frequency method. Odds ratios of fall rates and injurious fall rates were utilized to confirmthe effects of interventions for fall prevention. Comparative rankings of these interventions were determined usingcumulative probability (P-score).
Results: Comparative rankings via cumulative probability (P-scores) revealed individualizededucation as the most effective intervention for fall incidence (P-Score 87.8%). Followed by fall-preventingsensors (60.9%), multicomponent interventions (47.4%), usual care (33.2%), and environmental modification (20.7%).
For fall-related injuries, individualized education ranked highest (P-Score 97.1%), followed by multicomponent interventions(76.0%), usual care (47.6%), environmental modification (24.2%), and fall-preventing sensors (5.1%).
Conclusion:This study provides valuable insights into the relative effectiveness of diverse interventions in preventing fall incidencethrough network meta-analysis. The findings aim to support nurses in making informed decisions when implementingfall prevention strategies in clinical practice.
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KEYWORD
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Accidental fall, Accident prevention, Hospitals, Patient safety, Network meta-analysis
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