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논문 기본 정보

자료유형
학술저널
저자정보
Zhang, Jinsong (Department of Urology, Ward 3, The 2nd Affiliated Hospital of Kunming Medical University) Miller, Anastasia (Department of Public Affairs, University of Central Florida) Li, Yongxia (Department of Respiratory Medicine, Ward 2, The 2nd Affiliated Hospital of Kunming Medical University) Lan, Qinqin (Department of Public Affairs, University of Central Florida) Zhang, Ning (Department of Interprofessional Health Sciences and Health Administration, Seton Hall University) Chai, Yanling (Department of Respiratory Medicine, Ward 2, The 2nd Affiliated Hospital of Kunming Medical University) Hai, Bing (Department of Respiratory Medicine, Ward 2, The 2nd Affiliated Hospital of Kunming Medical University)
저널정보
대한결핵 및 호흡기학회 Tuberculosis and Respiratory Diseases 결핵 및 호흡기 질환 제81권 제2호
발행연도
2018.1
수록면
116 - 122 (7page)

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Background: Chronic obstructive pulmonary disease (COPD) is a serious chronic condition with a global impact. Symptoms of COPD include progressive dyspnea, breathlessness, cough, and sputum production, which have a considerable impact on the lives of patients. In addition to the human cost of living with COPD and the resulting death, COPD entails a huge economic burden on the Chinese population, with patients spending up to one-third of the average family income on COPD management in some regions is clinically beneficial to adopt preventable measures via prudent COPD care utilization, monetary costs, and hospitalizations. Methods: Toward this end, this study compared the relative effectiveness of six indices in predicting patient healthcare utilization, cost of care, and patient health outcome. The six assessment systems evaluated included the three multidimensional Body mass index, Obstruction, Dyspnea, Exercise capacity index, Dyspnea, Obstruction, Smoking, Exacerbation (DOSE) index, and COPD Assessment Test index, or the unidimensional measures that best predict the future of patient healthcare utilization, cost of care, and patient health outcome among Chinese COPD patients. Results: Multiple linear regression models were created for each healthcare utilization, cost, and outcome including a single COPD index and the same group of demographic variables for each of the outcomes. Conclusion: We conclude that the DOSE index facilitates the prediction of patient healthcare utilization, disease expenditure, and negative clinical outcomes. Our study indicates that the DOSE index has a potential role beyond clinical predictions.

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