Background: Participation of men in Maternal and Child Health (MCH) is crucial for the reduction of infant and maternal mortality. Men may be influential in making health care decisions that may affect their female partner’s access to health care services, but also as individuals, whose health status has a significant impact on the health of their partners’ and that of their children. However, male involvement is still inadequate due to various reasons. This paper sought to explore the community perspectives towards participation of men in maternal and child health care in Kabale District, Western Uganda. Methods: The study used a case study approach. Household questionnaires, in-depth interviews, focus group discussions, direct field observation and document review were employed to collect data. One hundred and twenty-four respondents completed a household questionnaire, eight key informants took part in semi-structured interviews and thirty-six community members (two men and two women groups) participated in focus group discussions. Results: The participation of men in maternal and child health care was found to be low. Patriarchal community values and norms influencing gender roles hindered male involvement in MCH. More so, sensitisation on the importance of male involvement was inadequate. Conclusion: Men’s participation in MCH is affected by multiple factors emanating from the community and health institutions. Involving men in MCH is critical, and therefore participatory and comprehensive approaches should be applied to encourage participation. Sensitisation of communities is fundamental for increasing awareness of the significance of male involvement in MCH.
A case study approach was used because male involvement in MCH is a complex issue, but also a contemporary phenomenon. It is determined by multiple factors and has dominated global and national debates. The approach enabled exploration of the communities’ views towards male involvement in MCH which is determined by various issues from the community, as well as at health facilities. It also facilitated the selection of the study area and enabled the application of multiple data collection techniques. Kabale district, in Western Uganda was chosen purposively as the study area because it is one of the patriarchal societies, highly populated but with the lowest hospital deliveries [6, 35]. The district also belongs to Kigezi region with hospital deliveries at 69.7%, which is the second lowest in the whole country [34]. Infant mortality is at 45%, access to ANC services is 56.1% out of 181 births accessed, and accessed postnatal care is 69.7% out of 507 births [34]. These statistics refer to access in terms of hospital deliveries according to the UDHS survey. The district infant mortality is the third highest in the country [12, 23]. Rubanda and Rukiga health centers were purposively chosen because they serve the ‘hard to reach and hard to serve’ areas. Local leaders at Rubanda and Rukiga sub counties availed the list of parishes under their jurisdiction. Parishes in which the study was conducted were randomly selected and these included Nyakabungo, Nyarurambi (Rubanda), Mparo and Noozi (Rukiga). In collection of data, the methods used included: household questionnaires, in-depth interviews, Focus Group Discussions (FGDs), direct field observation and document review. Household questionnaires’ enabled the collection of demographic data in order to understand the gender perspectives, awareness of MCH, as well as perceptions of the community towards men involvement in MCH. The researcher(s) administered the questionnaires from the households at the respondents’ convenient time. The questionnaires included both closed and open-ended questions. The latter enabled respondents to express freely and discuss at length the themes asked, while the former, guided the flow of the discussion on specific topics of interest. Interviews allowed participants to express themselves deeply without hindrances, as the researcher took note of their opinions as well as expressions. FGDs facilitated the collection of information in groups to gather gender segregated views and opinions from participants regarding male involvement in MCH, its significance and barriers to male participation. These were single-sex groups to enable free interaction and voicing of opinions among peers. Participants in the FGDs were from different villages to allow freedom of expression and security of privacy. Participants did not want to be recorded but they allowed the researcher to take notes during the discussion and interviews. Direct field observation was used to view gender participation and communication materials at health facilities. The administrators of the health centers were briefed about application of this technique. The respondents were de-briefed during FGDs. Through document analysis, various published and unpublished literature was reviewed which included among others, MDGs, SDGs, Uganda Health Sector Strategic Plan II, Uganda National Population Policy for Social Transformation and Sustainable Development, Uganda Health Demographic Surveys and health records from the district and at health centers. This enabled collection of health demographic information, data on the state of male participation in MCH, and contributed to understanding health strategies and programmes in the country and at a global level. Purposive and random sampling was used to select households and key informants. Respondents (n = 124) with children and living with partner(s) were selected. The selection of households was based on the list obtained from local leaders. The head of the household (male or female), was selected. Thus, one hundred and twenty four respondents came from 124 households. Key informants (n = 8) who included two Traditional Birth Attendants (TBAs) and two Village Health Team (VHTs) members were purposively selected because of their role in the health care of community members. TBAs are instrumental in communities where the services of midwives cannot be easily accessed. They assist in emergence birth deliveries in communities for women who either, may not access hospital delivery services due to financial, health facility accessibility constraints or others. VHTs are selected by local authorities with the aid of health officials. They assist the health officers in offering health services in the community which include first aid, monitoring patients and mobilising communities for participation in health programmes. One health official from the district in charge of MCH, two heads of departments for maternal and pediatric wards and one official in charge of the health center were also purposively selected. A total of 36 respondents participated in the FDGs. In each health centre, 2 FGDs (one for women and another for the men group) were held. Fifteen participants in Rubanda health centre and 21 from Rukiga Health Centre IV were involved in FGDs. Out of 15 participants in Rubanda, 8 (53%) were female and 7 (47%) were male, while out of 21 participants in Rukiga, 12 (57%) were female and 9 (43%) were male. Participants in these discussions included community members that were not subjected to the questionnaire or interviews. They only participated in the FGDs to avoid recycling of same views from same people but in different approaches. Quantitative data was analysed using the Statistical Package for Social Sciences (SPSS) and was presented as descriptive statistics (see Tables 1, ,22 and and3).3). The information gathered covered age, sex, education and marital status. It also included reasons for male participation and its significance. Content analysis of information from qualitative data was done in accordance to emerging themes as presented in the result and discussion sections. The study did not use audio visual gadgets to collect data therefore, the information given in the quotations in this paper has been paraphrased paying attention to maintain the original meaning. Respondents characteristics (N = 124) Reasons why men do not participate in MCH (N = 124) Reasons for importance of male involvement in MCH (N = 48)
N/A
DIMA AI Care