Prediction of patient length of stay: the comparison of three methods

碩士 === 國立臺灣大學 === 公共衛生學研究所 === 84 === To understand the difference among three methods (MD method, DRG method and ICD-9-CM method) in predicting patients'' length of sta y, 707 cases were chosen purposely. These patients'�...

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Bibliographic Details
Main Authors: Huang Shiang-ying, 黃香螢
Other Authors: Han Kuie
Format: Others
Language:zh-TW
Published: 1996
Online Access:http://ndltd.ncl.edu.tw/handle/90361277684392637210
Description
Summary:碩士 === 國立臺灣大學 === 公共衛生學研究所 === 84 === To understand the difference among three methods (MD method, DRG method and ICD-9-CM method) in predicting patients'' length of sta y, 707 cases were chosen purposely. These patients'' admission ICD -9-CM codes were classfied as MDC6 or MDC7 and they also admitted in five units of a major medical center during Apr. 1- Jul. 31, 1995. After dealing with inappropriate data, 564 cases were analy zed with Wilcoxon rank sum test. The author found that DRG method is the most precise one among three methods. The MD method has lower precision in surgical groups and the ICD-9-CM method has lower precision in tumorous groups. Because of the uncer- tainty about the causes in medical cases, it''s usually harder to predict patient length of stay in medical than surgical groups. The reason why MD method has lower precision in surgical groups in this study needs further study. The research also found that in all admission diagnoses, 72.16% are equal to discharge diagnoses, 22.34% are related to discharge diagnoses, and 5.5% are unrelated to discharge diagnoses. This result manifests the DRG method may be used practically. Due to numerous uncertain factors, prediction of patients'' length of stay needs to be more studied. If the DRGs/PPS payment system is implemented, the design of prediction method should be further discussed.