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| Analysis of long staying in hospital using logistic regression model |
| Guan Yun, Liu Haiyun,Zhou yan |
| Yan′an Hospital of Kunming City, Kunming 650200, China |
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Abstract Objective Shorten the days of patient stay in hospital (DPSH) is a importance work to promote efficiency. In order to explore the practicable way to short the days of patient stay in hospital, the article analyzes the related factors influencing of long staying in hospital. Methods Analyzing the patients of long staying in hospital of some hospital in 2013 by logistic regression model. Results The result of logistic regression indicated that there are four important factions to influence the days of patient stay in hospital(DPSH) which were the day of patient stay before operation,the weight, the critical level of patient, transferring hospital. Conclusion If we want to find some feasible methods to cut down the average day of patient stay in hospital , we need put stress on arranging the procedure of patient receiving, formulate admission scheme of specialty,controll the days of the important patient stay in hospital through monitoring.
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Received: 11 September 2014
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