|Type||Journal Article - Reproductive Health|
|Title||Women’s determinant factors for preferred place of delivery in Dodoma region Tanzania: a cross sectional study|
Skilled birth attendance is one of the key factors in improving maternal health but less than 50% of women in sub-Saharan African countries do not have the opportunity to be attended to by skilled personnel during childbirth. The aim of the study was to assess the factors determining women’s preference for a place to give birth in Dodoma Region, Tanzania.
This study employed a cross-sectional survey design using quantitative data collection and analysis methods. Data were collected using structured questionnaire administered to 800 women obtained through multistage random sampling. Multivariable logistic regression model was applied to determine the predictors of place of delivery.
More than three quarters 629(78.6%) respondents had their last delivery in the health facilities while 171(21.4%) had their last delivery at home/on the way to hospital. Reasons for delivering at home include: abrupt occurrence of labour pain, long distance to the health facilities, lack of money to pay for transport and unfriendly experience with the health care providers. Simple logistic regression model indicate that mothers’ education level, number of children, cost of transport the estimated distance to the nearby health facility and occupation were strong predictors of the preferred place of delivery. However, after controlling the potential confounder, the multivariable logistic regression model demonstrated a significant association between delivery at the health facility and the number of children and transport cost.
Our findings suggest a need for health care providers to enhance health education to women and their spouses about birth preparedness and the importance of delivering at the health facility. There is also a need for the government to increase the number of health facilities including maternity waiting homes and well trained health workers in both rural and urban areas.
|»||Kenya - Demographic and Health Survey 2014|
|»||Tanzania - Demographic and Health Survey 2010|
|»||Tanzania - Demographic and Health Survey and Malaria Indicator Survey 2015-2016|