Social and Behavior Change Communication Factors affecting the uptake of Voluntary Medical Male Circumcision (VMMC) among the traditionally non-circumcising Communities in Kenya

Abstract

The general goal of this investigation was to decide the social and behaviour change Communication factors that influence the take-up of the voluntary medical male circumcision (VMMC) among the customarily non-circumcising networks in Funyula Sub-County in Busia County. The study tried to accomplish the following objectives: to look at the individual factors that influence take-up of voluntary medical male circumcision (VMMC) among the Samia Community in Funyula Sub-County; to research the social factors that influence the take-up of VMMC among explicitly dynamic male populaces; to analyse the authoritative or institutional components influence take-up of VMMC in Funyula; to inspect the ecological variables that influence take-up of VMMC; to decide the Communication factors that influence take-up of VMMC; and to decide the connection between components of individual, social, hierarchical, condition and Communication factors that influence the take-up of VMMC among explicitly dynamic male populaces in Funyula Sub-County. This study utilized blended techniques configuration including both subjective and quantitative approaches. The study focused on male populace from 20 years and above. The population for this study was 276 respondents. The study connected fundamentally essential information using both quantitative and subjective information. Quantitative information was gathered by utilizing questionnaire while subjective information was gathered utilizing Focus Group Discussions and inside and out Interviews with Key Informants from the recorded associations managing HIV and AIDS and SBCC in Funyula Sub-County. Statistical Product for Social Sciences (SPSS) was utilized for information analysis. From the study discoveries, it turned out that a substantial number of the young around there have the best possible data on what MC involves. Amid the Focus Group Discussions the members could graphically clarify the procedure that they were taken through amid their visits to the VMMC destinations. Generally speaking, the respondents had an extremely abnormal state of consciousness of the defensive impacts of male circumcision, for example, decrease in the rate of HIV and STI diseases and event of penile malignancy. Non-circumcision was referenced by most respondents as a critical social trademark that recognized the men from different networks, and some communicated dread that presenting circumcision could cause loss of this social personality. In light of the experimental proof and discoveries in this investigation, various obvious end results can be made. There is a constructive and factually huge connection between close to home variables and take-up of Voluntary Medical Male Circumcision. VMMC request creation messages should be explicitly custom fitted for various ages and ought to underline non-HIV avoidance benefits, for example, enhanced cleanliness and sexual intrigue, and need to address men’s dread of agony. The investigation suggests that The Social and Behaviour Change Communication (SBCC) battles need to utilize different channels of communication to achieve every key partner at all dimensions of the socio-environmental model, for example, pioneers at the province and the sub-region levels; every key partner in VMMC administrations; every single grown-up man and ladies in the regions with low VMMC take-up. These gatherings are relied upon to comprehend the VMMC procedure and the suggestion it has to succeed. The results in Table 4.56depicts a statistically significant relationship among; personal factors, social factors, organization factors, environmental factors, Communication factors and uptake of VMMC in which the value of correlation coefficient for all the variables is 0.769. The adjusted R2=0.582 which indicates that 58.2% of uptake of VMMC can be explained by the independent variables (personal factors, social factors, organization factors, environmental factors, Communication factors). The remaining 41.8% of the variation in uptake of VMMC is affected by other variables not included in the model.