OBJECTIVE: To evaluate the effect of intervention on factors influencing the health service utility regarding Maternal and Child Health (MCH) under the 'Qinba Health Project' in Sichuan province. METHODS: 15 towns in 5 programmed counties were selected, using the method of 'random layer sampling' to be the trial group. With similar MCH status and comparable to the trial group, another 9 towns in 3 non-programmed counties were chosen as the control group, using the same sampling method. Indicators on MCH service utility were compared with that in the control group, and the influencing factors of MCH service utility analyzed by logistic model. RESULTS: The main characteristics of the two groups were quite similar at the baseline study, with the average annual family incomes and MCH service per 1000 people. Annual input on MCH services from the government had an distinct increase. The average annual rates of increase regarding the indicators as clean delivery, hospitalized delivery, systematic care on maternal and children, maternal and infant mortality rates were: 1.95%, 9.34%, 4.82%, 3.04%, -2.67%, -13.84% (P < 0.02) through chi2 trend tests. In the trial group, the changes seen in the 6 indicators were better in the control group than in the control group (P < 0.05). Data from the logistic regression model showed that the major influencing factors on the use of hospitalized delivery service were: age of the pregnant woman, average annual income of the family, health insurance status, number of pre-delivery visits, whether on poverty alleviate program, and on knowledge of MCH. CONCLUSION: The intervention project in this programmed area seemed effective and better than the non-programmed area, through an eight-year observation.
OBJECTIVE: To evaluate the effect of intervention on factors influencing the health service utility regarding Maternal and Child Health (MCH) under the 'Qinba Health Project' in Sichuan province. METHODS: 15 towns in 5 programmed counties were selected, using the method of 'random layer sampling' to be the trial group. With similar MCH status and comparable to the trial group, another 9 towns in 3 non-programmed counties were chosen as the control group, using the same sampling method. Indicators on MCH service utility were compared with that in the control group, and the influencing factors of MCH service utility analyzed by logistic model. RESULTS: The main characteristics of the two groups were quite similar at the baseline study, with the average annual family incomes and MCH service per 1000 people. Annual input on MCH services from the government had an distinct increase. The average annual rates of increase regarding the indicators as clean delivery, hospitalized delivery, systematic care on maternal and children, maternal and infant mortality rates were: 1.95%, 9.34%, 4.82%, 3.04%, -2.67%, -13.84% (P < 0.02) through chi2 trend tests. In the trial group, the changes seen in the 6 indicators were better in the control group than in the control group (P < 0.05). Data from the logistic regression model showed that the major influencing factors on the use of hospitalized delivery service were: age of the pregnant woman, average annual income of the family, health insurance status, number of pre-delivery visits, whether on poverty alleviate program, and on knowledge of MCH. CONCLUSION: The intervention project in this programmed area seemed effective and better than the non-programmed area, through an eight-year observation.