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.
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