Publications by authors named "Eun Shil Yim"

Objectives: First, to compare changes in cognitive function, behavioral symptoms, and physical function for Korean Long-Term Care Insurance (LTCI) beneficiaries with dementia in day care (DC) and home care (HC) settings over 1 year. Second, to examine the association between LTCI service type and the aforementioned health outcomes.

Methods: A retrospective matched cohort study was conducted using the national data set of the National Health Insurance Service in Korea.

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Background: Gender is thought to be an important factor in metabolic syndrome and its outcomes. Despite a number of studies that have demonstrated differences in metabolism and its components that are dependent on gender, limited information about gender differences on the characteristics of metabolic syndrome and its components is available regarding the Korean old adult population. This study aimed to identify gender differences in characteristics of the metabolic syndrome and other risk factors for cardiovascular disease.

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Objective: Korea introduced universal long-term care insurance (LTCI) for physically dependent older adults in 2008. Older adults, their family members, and policy makers in Korea want to know patient outcomes in different care modalities because older adults who have a similar functional status and LTC needs can choose either nursing home care or home care. The aim of this study was to compare activities of daily living (ADLs) in nursing home care and home care settings for physically dependent older adults in Korea.

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Objectives: The purpose of this study was to identify the risk factors of metabolic syndrome (MS) and to analyze the relationship between the risk factors of MS and medical cost of major diseases related to MS in Korean workers, according to the scale of the enterprise.

Methods: Data was obtained from annual physical examinations, health insurance qualification and premiums, and health insurance benefits of 4,094,217 male and female workers who underwent medical examinations provided by the National Health Insurance Corporation in 2009. Logistic regression analyses were used to the identify risk factors of MS and multiple regression was used to find factors associated with medical expenditures due to major diseases related to MS.

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