Author: Yip, Paul S F; Lee, Carmen K M; Chow, Chun-Bong; Lo, William T L
Title: What makes the hospitalisation system more efficient? An application of the decomposition method to Hong Kong morbidity data Document date: 2014_3_6
ID: q07shyw5_40
Snippet: In this study we aim to investigate the factors on reduction of total hospitalization days which directly relates to healthcare costs. According to the latest report by the Hospital Authority, despite an increase in population size from 6.7 to 7.0 million and the number of patients year. In the present study, we use the decomposition method to examine and quantify the impact of the mean duration on the other two factors: total number of patients .....
Document: In this study we aim to investigate the factors on reduction of total hospitalization days which directly relates to healthcare costs. According to the latest report by the Hospital Authority, despite an increase in population size from 6.7 to 7.0 million and the number of patients year. In the present study, we use the decomposition method to examine and quantify the impact of the mean duration on the other two factors: total number of patients per 1,000 people of the general population, and the mean number of visits per year in assessing its impact on the total number of hospitalization days. for each visit, and discharge destination. However, there are quite a significant proportion of the patient data with missing disease code and we will not examine the disease-code specific duration of stay in this analysis.
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