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Abstract
Background: According to statistical data of statistics from the National Health Insurance Bureau of the Republic of China, Taiwan, average annual hospital visits for Taiwanese total 15, with respiratory diseases accounting for approximately one third of these visits. Therefore, the medical utilization and trend analysis of respiratory diseases is an important issue. Purposes: This study, first, describes enrollees between 2000 and 2004, the probability of seeing a western medical doctor for outpatients and trend analysis for upper and lower respiratory diseases. Second, describes medical utilization condition and related factors for western medicine in 2004. Methods: This study uses data from the data of national health insurance research database issued by national health research institutes (NHRI), which included 41,364 enrollees between 2000 and 2004. Next, the Two-Part Model is applied to analyze the data, including logistic regression and multiple regression, with the former describing related influential factors with visit or not in 2004, while the latter selects people with visit, and analyzes the independent variables affecting the number and expenditure of outpatient contacts. Trend analysis in upper and lower respiratory diseases uses Ordered Binomials: Cochran- Armitage Trend Test is used to test the results. Results: The probability that the sample uses western medical respiratory disease is 70%. Though time trends analysis of upper and lower respiratory disease are not statistically significant (P<0.0001), the descriptive data do not display increasing or decreasing trends. Because the test involved a large sample. For outpatients seeing western medical treatment for respiratory diseases of in 2004, the average number of visits was 5.636 times, while the average medical expense was NT $2,158.65. Factors influencing outpatients with respiratory diseases seeking western medicine treatment, significant influences on the number of visit and medical expense include gender, age, type of insurance, whether having copayment, whether having chronic disease are significant variables.
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