• Title/Summary/Keyword: Proxy component

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The Evaluation of the Korean Advance Directives (K-AD) (한국형 사전의료의향서 평가)

  • Kim, KiSook;Kim, Shinmi;Hong, Sunwoo;Kim, JinShil
    • Journal of Hospice and Palliative Care
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    • v.19 no.2
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    • pp.109-118
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    • 2016
  • The purpose of this study was to evaluate Korean advance directives (K-AD) by examining the degree of adults' acceptance and reliability of the directive itself. Methods: Survey was performed with 181 adults aged 20 or older who were recruited from three regions. A questionnaire used to examine the participants' acceptance of their K-AD in terms of visual analogue scale score of complexity, difficulty, necessity, satisfaction, recommendation. Then, a retest was carried out by asking participants to write up a K-AD again to confirm the reliability of the directives. Results: On a scale of 100, the average acceptance score was 70 or above, which represents rather high level of acceptance in all five categories. The test-retest reliability kappa values ranged from 0.592 to 0.950, and the conformity degree was moderate or high. Regarding K-AD components such as values, treatment preference, proxy appointment, differences among age groups were observed in each component. Conclusion: The results of this study suggest that K-AD is a feasible instrument to analyze its acceptability and reliability for adult population. K-AD could be utilized to help people make their own decision on their end-of-life care. Further studies are needed to confirm this study results and promote widespread use of K-AD.

Urban Vitality Assessment Using Spatial Big Data and Nighttime Light Satellite Image: A Case Study of Daegu (공간 빅데이터와 야간 위성영상을 활용한 도시 활력 평가: 대구시를 사례로)

  • JEONG, Si-Yun;JUN, Byong-Woon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.23 no.4
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    • pp.217-233
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    • 2020
  • This study evaluated the urban vitality of Daegu metropolitan city in 2018 using emerging geographic data such as spatial big data, Wi-Fi AP(access points) and nighttime light satellite image. The emerging geographic data were used in this research to quantify human activities in the city more directly at various spatial and temporal scales. Three spatial big data such as mobile phone data, credit card data and public transport smart card data were employed to reflect social, economic and mobility aspects of urban vitality while public Wi-Fi AP and nighttime light satellite image were included to consider virtual and physical aspects of the urban vitality. With PCA (Principal Component Analysis), five indicators were integrated and transformed to the urban vitality index at census output area by temporal slots. Results show that five clusters with high urban vitality were identified around downtown Daegu, Daegu bank intersection and Beomeo intersection, Seongseo, Dongdaegu station and Chilgok 3 district. Further, the results unveil that the urban vitality index was varied over the same urban space by temporal slots. This study provides the possibility for the integrated use of spatial big data, Wi-Fi AP and nighttime light satellite image as proxy for measuring urban vitality.