Factors contributing to late antenatal care booking at Thulamahashe local area at Bushbuckridge sub-district, Ehlanzeni district in Mpumalanga Province

Abstract

Delayed access to antenatal care (ANC) has been linked to maternal and foetal mortality and morbidity. Early and regular attendance of antenatal care by pregnant women is very important as it could identify birthing complications and includes amongst others, measuring of blood pressure to exclude pregnancy induced hypertension and measuring of weight to exclude intrauterine growth restriction. The purpose of the study was to explore the factors contributing to late antenatal booking around Thulamahashe local area so that interventions can be done to ensure that all pregnant women start antenatal care as soon as they miss a period, at twelve weeks at the most or before 20 weeks of gestation. The study was conducted at Thulamahashe local area which consists of 4 eight hour clinics and 1 twenty- four hours community health centre, at Bushbuckridge sub district, Ehlanzeni district, Mpumalanga province in South Africa. Data was collected using a researcher designed questionnaire which is a list of questions which were asked from respondents and which gave indirect measures of the variables under investigation. The structured questionnaire consisted of both open and close ended questions, which were used to collect information directly from pregnant women. The population of the study was pregnant women who had started antenatal care after 20 weeks of gestation, who were 18 years and above. The sample size consisted of 25 pregnant women who had booked late for antenatal care who were drawn from each facility by simple random sampling method and the total sample size was 127 respondents.

The results indicated that most women initiated ANC later than the recommendations by World Health Organization (WHO) which is less than twelve weeks of gestation. Factors that were identified as associated with late antenatal booking were midwives’ attitude distance to the clinic, poor infrastructure, unplanned pregnancy, lack of education and unemployment.