[Two-level logistic modeling analysis on the factors that influence birth in hospitals in poor rural areas of Sichuan province].
OBJECTIVE
To identify the determinants of birth in hospitals in the poor rural areas.


METHODS
A questionnaire survey in eight poor counties in Sichuan province was conducted. Multilevel logistic regression analysis was performed to identify the factors that influenced birth in hospitals.


RESULTS
Hospitals delivered 61.4% of babies in the selected counties. Education, eligibility to poverty relief, numbers of pre-natal examinations and abnormalities found in pre-natal examinations had a significant impact on birth in hospitals.


CONCLUSIONS
Education of women and medical relief in the poor rural areas need to be strengthened to increase the proportion of babies delivered in hospitals in the poor rural areas. Systematic management of pregnant women and increased pre-natal examinations could also contribute to hospital delivery of babies.
Yu
Chuan
C
Department of Health Statistics, West China School of Public Health, Sichuan University, Chengdu 610041, China.
Li
Xiao-song
XS
D000293:Adolescent; D000328:Adult; D002681:China; D003696:Delivery Rooms; D036861:Delivery, Obstetric; D005260:Female; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D011204:Poverty Areas; D011247:Pregnancy; D012423:Rural Health; D011795:Surveys and Questionnaires; D055815:Young Adult