급성 허혈성 뇌졸중 환자의 퇴원시 기능 상태와 관련된 다차원적 요인 분석 – 강원도 소재 일개 병원의 환자를 대상으로
Multi-dimensional Factors related to the Functional state of Acute Ischemic Stroke Patients - For Patients Visiting a Hospital in Gangwon-do
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Objectives : The purpose of this study was to analyze factors related to the functional state of stroke patients after discharge from hospital. Methods : The data was provided from a hospital in Wonju, Gangwon-do. The subjects of the analysis were those who were admitted to the emergency room due to stroke from July to December 2016. The dependent variable was the patient’s functional status as measured by the modified Rankin Scale(mRS). Independent variables were demographic factors (age, sex, and marriage status), transportation and distance factors (transportation, travel distance), inpatient factors (lengths of stay, Charlson Comorbidity Index (CCI), Tissue plasminogen activator, National Institute of Health Stroke Scale (NIHSS). Hierarchial regression analysis was applied for the analysis. Results : In the hierarchical regression analysis, Model 3, including socio-demographic factors, transportation, distance factors, and inpatient factors, was the best fitted model. It showed that functional status of stroke patients was positively associated with age, length of stay, CCI, NIHSS, and negatively associated with unmarried status. Conclusions : Results indicated that management of stroke requires care from the pre-disease stage, and a customized education program policy is needed for high-risk stroke patients who are older and have comorbid illness.
Abstract
Objectives : The purpose of this study was to analyze factors related to the functional state of stroke patients after discharge from hospital. Methods : The data was provided from a hospital in Wonju, Gangwon-do. The subjects of the analysis were those who were admitted to the emergency room due to stroke from July to December 2016. The dependent variable was the patient’s functional status as measured by the modified Rankin Scale(mRS). Independent variables were demographic factors (age, sex, and marriage status), transportation and distance factors (transportation, travel distance), inpatient factors (lengths of stay, Charlson Comorbidity Index (CCI), Tissue plasminogen activator, National Institute of Health Stroke Scale (NIHSS). Hierarchial regression analysis was applied for the analysis. Results : In the hierarchical regression analysis, Model 3, including socio-demographic factors, transportation, distance factors, and inpatient factors, was the best fitted model. It showed that functional status of stroke patients was positively associated with age, length of stay, CCI, NIHSS, and negatively associated with unmarried status. Conclusions : Results indicated that management of stroke requires care from the pre-disease stage, and a customized education program policy is needed for high-risk stroke patients who are older and have comorbid illness.
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