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Rehabilitation Practice and Science

Translated Title

以互動式可視化儀表盤做為社區老人跌倒風險評估工具

Abstract

The main purpose of data visualization is to provide an overview of data characteristics. In this study, a data visualization-based interactive exploration environment was developed to assess the risk of falling among community-dwelling elderly adults. The research goal was to enable clinicians to apply their expert knowledge to quickly derive information from the data and analyze the risk of falling. By visualizing the data to derive information, the clinicians were able to analyze preliminary screening results to identify elderly adults at a high risk of falling and subsequently advise them to return to hospital for a comprehensive geriatric assessment. In this study, the analytics software Tableau9.0 was employed as a visual analysis tool. 202 community-dwelling elderly adults fall risks were assessed by a team of interdisciplinary professionals at a regional hospital during April 2014 to May 2015, and their evaluations were used as source data in a subsequent analysis. Assessments were determined according to the participants' age, sex, living area, gait, balance ability, cognitive ability, and capacity to perform activities of daily living. A visual data mining technique was adopted to select, explore, link, elaborate, and reorganize the data, and predefined data were used to generate various graphs for cross-referencing purposes. Subsequently, to facilitate a comparative analysis, multidimensional data visualization exploration was performed using an interactive method to evaluate the correlation between the data subsets. Basic statistical data were mapped and multiview charts were integrated and displayed on an interactive visualization dashboard that was used as an interactive web page. The results reveal potential differences in the risk of falling among community-dwelling elderly adults according to their living area and sex. No significant correlation was observed between age and cognitive ability or between age and ability to perform activities of daily living. The participants' average time for completing a 3-m stand-and-walk test was moderately negatively correlated with the average score on the Berg Balance Scale (simplified edition). Using the interactive visualization instrument panel, the clinicians identified 15 community-dwelling elderly adults who were at a high risk of falling. The main conclusion of this study is to develop an interactive visual data exploration environment to assess fall risks among the community-dwelling adults, so that clinical experts can make clinical decisions quickly and resilient.

Language

Traditional Chinese

First Page

99

Last Page

110

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