Utility of Kiken Yochi Training (KYT) in Fall Risk Prediction-Reference-Cited by-同舟云学术

Utility of Kiken Yochi Training (KYT) in Fall Risk Prediction

Published:2018-10-16 Issue: Volume: Page:1-5
ISSN:2577-9516
Container-title:POJ Nursing Practice & Research
language:
Short-container-title:POJ Nurs Prac Res

Author:

A Kobe¹,N Ikeda¹,K Okamoto¹,K Kagechika²,T Maeno³

Affiliation:

1. Department of Medical Technology, Kanazawa Medical University Hospital, Uchinada, Japan

2. Department of Physical Medicine and Rehabilitation, Kanazawa Medical University Hospital, Uchinada, Japan

3. Department of Nursing, Kanazawa Medical University Hospital, Uchinada, Japan

Abstract

Background It is possible to increase the sensitivity of risk prediction to attempt to prevent medical accidents. Kiken Yochi Training (KYT) is widely used to increase the sensitivity of risk prediction in Japan. This study aims to investigate the utility of KYT in fall risk prediction. Materials and Methods The sensitivities of 78 nurses were compared before and after KYT and 1 year after the training was provided. The sensitivity was measured as the number of items reported, that were related to the risk of fall. Analysis of variance and multiple comparison tests were used, and the number of fall-related items reported before and after KYT was evaluated using Pearson’s correlation analysis. Results The number of items reported after KYT was significantly greater than the number before the intervention (p <0.01). Conversely, the number of items reported one year after KYT was significantly lower than that immediately after the intervention (p <0.05). In addition, a weak significant correlation was observed in the number of items reported before and after KYT. Conclusion It was suggested that KYT increased sensitivity to predicting fall risk. It showed sustained effect on risk prediction one year later. Therefore, KYT is considered to be an effective way to increase risk sensitivity. Keywords: KYT, Fall Risk Prediction

Publisher

Proskolar Publishers

Subject

General Medicine

Reference19 articles.

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