Background and purpose: Rate of Hospital stay more than 30 days, the Quality Indicator of BNHI (Bureau of National Health Insurance), English revision is needed. The has the greatest consumption of inpatient care, also the largest group of long-term hospitalization inpatients. It is necessary to study the influential factors of medical utilizations among long-stay elderly inpatients.Method: The inclusion criteria are length of stay over 30 days and patient's age over 65 years between 2001 and 2005. The data was analyzed by independent T test and one-way ANOVA test to look for the statistical significant differences between the variables. Multiple linear regression analysis was used to find the association of each of variables with the hospitalization cost and length of stay.Result: The results revealed that some factors were statistically significant correlation with higher hospitalization cost and longer length of stay, including female, identification of catastrophic illness, surgery, private hospital care and diseases involved respiratory tract. The data are statistically significant difference. Besides, the results reveal for the first time that this group reveal longer length of stay and lower hospitalization cost at district hospitals and concentrate to North and Central region of Taiwan.Conclusion: The results may be related to the increasing needs of long-term care system, uneven distribution of medical resources and the policy direction of health insurance. The government should establish the long-term care system, and strengthen for the long-term review appropriateness of hospitalized patients.
Background and purpose: Rate of Hospital stay more than 30 days, the Quality Indicator of BNHI (Bureau of National Health Insurance), English revision is needed. The has the greatest consumption of inpatient care, also the largest group of long-term hospitalization inpatients. It is necessary to study the influential factors of medical utilizations among long-stay elderly inpatients.Method: The inclusion criteria are length of stay over 30 days and patient's age over 65 years between 2001 and 2005. The data was analyzed by independent T test and one-way ANOVA test to look for the statistical significant differences between the variables. Multiple linear regression analysis was used to find the association of each of variables with the hospitalization cost and length of stay.Result: The results revealed that some factors were statistically significant correlation with higher hospitalization cost and longer length of stay, including female, identification of catastrophic illness, surgery, private hospital care and diseases involved respiratory tract. The data are statistically significant difference. Besides, the results reveal for the first time that this group reveal longer length of stay and lower hospitalization cost at district hospitals and concentrate to North and Central region of Taiwan.Conclusion: The results may be related to the increasing needs of long-term care system, uneven distribution of medical resources and the policy direction of health insurance. The government should establish the long-term care system, and strengthen for the long-term review appropriateness of hospitalized patients.
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