[Study on hospitalization expenses of flood disaster areas' residents of Dongting Lake in Hunan province in 1998].
OBJECTIVE
To study the expenses of hospitalization among the population in the flood disaster areas of Dongting Lake in Hunan province in 1998.


METHODS
Descriptive epidemiologic study were conducted to analyze hospitalization expenses of the residents of 55 villages in flood disaster areas in 1998; single factors analysis and logarithmic linear regression analysis were carried out to explore influencing factors about hospitalization expenses of the residents.


RESULTS
The hospitalization rate was 4.59% with an average hospitalization expenses of 667.42 Yuan in the flood disaster areas' residents of Dongting Lake in 1998. Compared with populations without suffering from flood, hospitalization rate and the average hospitalization expenses of flood disaster Areas' residents of Dongting Lake in 1998 were higher and had significant difference. The average hospitalization expenses in 1998 was affected by flood types, family income, gender, age, literacy, occupation, outcome after leaving the hospital and hospital ranks.


CONCLUSIONS
These results implied that the flood disease aggravated inhabitants' burden of disease in Dongting Lake areas; the factors influencing the average hospitalization expenses were multiple, and synthetic measures should be taken in the prevention and control of flood disaster.
Meng
Wei
W
Department of Epidemiology, School of Public Health, Central South University, Changsha 410078, China.
Yang
Tu-bao
TB
Tan
Hong-zhuan
HZ
Li
Shuo-qi
SQ
Liu
Ai-zhong
AZ
Zhou
Jia
J
Xie
Mei-zhi
MZ
Tang
Xue-min
XM
Tang
Sen-lin
SL
Zhang
Xiu-min
XM
Xiang
Bao-lin
BL
He
Hua-xian
HX
Li
Lin-lin
LL
D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D002681:China; D017281:Cost of Illness; D004190:Disasters; D005260:Female; D017722:Hospital Charges / Q000706:statistics & numerical data; D006760:Hospitalization / Q000191:economics*; D006801:Humans; D007223:Infant; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D012424:Rural Population