| Summary: | 碩士 === 國立雲林科技大學 === 企業管理系碩士班 === 99 === According to the statistics of Department of Health of Yunlin County, the
residents of Yunlin County who suffered from chronicle liver diseases and cirrhosis
that led to death from liver cancer has mounted up to number one cause of death on
the list of ten great cancers. Due to the current situation both on environment and
medical industry has been improved that the revised article 981101 stipulated that
DNA or RNA examination virus quantity may replace the liver biopsy to extend the
duration of payment on hepatitis B and C health insurance benefits and the patients
may receive a much complete treatment. For medical resources shortage part, the
hospitals take up great amount of the burden on outpatient service of the specialist
doctors, and due to the locality convenience and other advantages, many local
hospitals have been included in the hepatitis treatment market. If the risk factors of
anemia and its cause can be discriminated earlier, on one hand the doctors may
proceed with some management or treatment in advance for those patients with high
risk, on the other hand, the possible hepatitis C patients can be singled out for early
treatment to upgrade the degree of the satisfaction of treatment for patients and their
family at the clinical with better medical quality.
This study has collected relevant data from 359 cases that meet the study goal
based on document check and specialist opinion to set up the research factors, also,
make use of the clinical basic information to evaluate the early stage curing effect to
seek for prediction on risk of complication from hepatitis C treatment to set up the
discriminant axle mode for curing hepatitis patients.
Results: The research variables include: age, gender, weight of the patient, virus
genetic type, virus quantity before treatment, degree of liver fibrosis, hematology, etc.,
related values (independent variables, X), the 12th week of Hb hemoglobin as
discriminating standard variables (dependent variables, Y) to proceed with the
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difference analysis. It has shown the relations between the predicted variables and
the difference function: the relevance among the first difference function and Hb, Age,
BW, and gender, four items was higher; while the relevance among the second
difference function and Cre, AST, Plt, and ALT, four items was the highest. For the
coefficient of the first two, the general majority has applied structure coefficient
because it may avoid the problem of co-linearity and is much stable.
Conclusion: The clinics may apply discriminating analysis to find out the
important influential variables: the age, weight, early stage hemoglobin, and Cre, AST,
Plt, and ALT of the patient are the decisive factors. One can predict the prognosis of
each hepatitis C patient based on these dangerous factors and their degree of impact to
do highlight risk management for those patients with high risk on anemia and
recommend them to go to hospital for treatment to increase the curing rate and reduce
the medical cost so as to achieve the three wins for Department of Health.
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