Background: The main aim of the study is to examine whether women in Mdantsane are accessing and using maternal health care services. Accessibility of maternal health care facilities is important in ensuring that lives are saved through the provision and use of essential maternal services. Therefore, access to these health care services directly translates to use – that is, if women cannot access life-saving maternal health care services, then use of such services will be limited. Findings: The study makes use of mixed methods to explore the main factors associated with access to and use of maternal health care services in Mdantsane. For the quantitative approach, we collected data using a structured questionnaire. A sample of 267 participants was selected from health facilities within the Mdantsane area. We analyzed this data using bivariate and multivariate models. For the qualitative approach, we collected data from health care professionals (including nurses, doctors, and maternal health specialists) using one-on-one interviews. The study found that women who were aged 35-39, were not married, had secondary education, were government employees, and who had to travel less than 20 km to get to hospital were more likely to access maternal health services. The qualitative analysis provided the insights of health care professionals regarding the determinants of maternal health care use. Staff shortages, financial problems, and lack of knowledge about maternal health care services as well as about the importance of these services were among the major themes of the qualitative analysis. Conclusion: A number of strategies could play a big role in campaigning for better access to and use of maternal health services, especially in rural areas. These strategies could include (a) the inclusion of the media in terms of broadcasting information relating to maternal health services and the importance of such services, (b) educational programs aimed at enhancing the literacy skills of women (especially in rural areas), (c) implementing better policies that are aimed at shaping the livelihoods of women, and (d) implementing better delivery of maternal health care services in rural settings.
The qualitative approach involved collecting data from health care professionals, using one-on-one interviews. A range of questions were asked to gain the health professionals’ views on certain maternal health care problems which they encounter while working at the health facilities, as well as some of the barriers that hinder women from utilizing such services. The qualitative analysis involved selecting main themes from the responses of the interviewees and exploring those. For the analysis and interpretation, responses from two health professionals (out of each of the different professions – i.e. two doctors, two nurses, and two maternal health care specialists) were selected. The quantitative approach involved analysing data using bivariate and multivariate models. The participants were asked a range of questions, in a structured questionnaire format, regarding their access to maternal health care services and utilization of these services. Below are the variables that we selected for the study. We selected variables that were aimed at exploring the determinants of access to and use of maternal health services in the study area. For that reason, all the variables that were selected for the bivariate analysis were also included in the regression model. These variables are thus listed below. The dependent variables included: (a) access to maternal health services, which had dichotomous categories (0 = no; 1 = yes), and (b) antenatal visits for pregnancy, which had dichotomous categories (0 = 1 to 4; 1 = 5+). The independent variables included were: age (grouped into six categories: 15-19; 20-24; 25-29; 30-34; 35-39; 40 and above); marital status (dichotomous categories: 1 = married; 2 = not married); maternal education (grouped into four categories: none; primary; secondary; tertiary); occupation (grouped into six categories: none; housewife; self-employed; government employee; private employee; living on social grants); residential area (dichotomous categories: 1 = within Mdantsane; 2 = outside Mdantsane); distance to hospital/health facility (dichotomous categories: 1 = more than 20 km; 2 = less than 20 km); financial difficulties (grouped into three categories: difficult; not difficult; did not try to find/get money); means of transport (grouped into three categories: walk; public transport; private transport); cultural factors (dichotomous categories: 1 = yes; 2 = no); did you find the health care information useful? (dichotomous categories: 1 = yes; 2 = no); knowledge of antenatal services offered (dichotomous categories: 1 = yes; 2 = no); and medical aid (dichotomous categories: 1 = yes; 2 = no).
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