Roles of Traditional Birth Attendants and Perceptions on the Policy Discouraging Home Delivery in Coastal Kenya

Objectives: To describe the roles of Traditional Birth Attendants (TBAs), to determine the perceptions of TBAs and Skilled Birth Attendants (SBAs) towards the policy discouraging home delivery by TBAs and to establish the working relationship between TBAs and SBAs in Kwale, Kenya.Design: Community based cross-sectional study.Setting: Mwaluphamba, Kinango and Golini locations of Kwale County, Kenya.Subjects: Fifty eight participants were involved in the study. Interviews were conducted with 22 TBAs and 8 SBAs as well as 3 FGDs with 28 TBAs were carried out in July 2012.Main outcome measures: Roles of TBAs, policy awareness and support as well as the working relationship between TBAs and SBAs.Results: Before delivery, the main role of TBAs was checking position of the baby in the womb (86%) while during delivery, the main role was stomach massage (64%). However, majority (95%) of the TBAs did not provide any after delivery. All SBAs and 59% of TBAs were aware of the policy while 88% SBAs and 36% of TBAs supported it. The working relationship between TBAs and SBAs mainly involved the referral of women to health facilities (HFs). Sometimes, TBAs accompanied women to the HFoffering emotional support until after delivery.Conclusion: TBAs in Kwale have a big role to play especially during pregnancy and delivery periods. Awareness and support of the policy as well as the collaboration between SBAs and TBAs should be enhanced in Kwale

Profile: The Mbita Health and Demographic Surveillance System

The Mbita Health and Demographic Surveillance System (Mbita HDSS), located on the shores of Lake Victoria in Kenya, was established in 2006. The main objective of the HDSS is to provide a platform for population-based research on relationships between diseases and socio-economic and environmental factors, and for the evaluation of disease control interventions. The Mbita HDSS had a population of approximately 54 014 inhabitants from 11 576 households in June 2013. Regular data are collected using personal digital assistants (PDAs) every 3 months, which includes births, pregnancies, migration events and deaths. Coordinates are taken using geographical positioning system (GPS) units to map all dwelling units during data collection. Cause of death is inferred from verbal autopsy questionnaires. In addition, other health-related data such as vaccination status, socio-economic status, water sources, acute illness and bed net distribution are collected. The HDSS has also provided a platform for conducting various other research activities such as entomology studies, research on neglected tropical diseases, and environmental health projects which have benefited the organization as well as the HDSS community residents. Data collected are shared with the community members, health officials, local administration and other relevant organizations. Opportunities for collaboration and data sharing with the wider research community are available and those interested should contact. [email protected] or [email protected]

Are Long-Lasting Insecticidal Nets Effective for Preventing Childhood Deaths among Non-Net Users? A Community-Based Cohort Study in Western Kenya

BackgroundIncreasing the distribution and use of insecticide-treated nets (ITNs) in Sub-Saharan Africa has made controlling malaria with ITNs more practical. We evaluated community effects induced by ITNs, specifically long-lasting insecticidal nets (LLINs), under ordinary conditions in an endemic malaria area of Western Kenya.MethodsUsing the database from Mbita Health and Demographic Surveillance System (HDSS), children younger than 5 years old were assessed over four survey periods. We analyzed the effect of bed net usage, LLIN density and population density of young people around a child on all-cause child mortality (ACCM) rates using Cox PH models.ResultsDuring the study, 14,554 children were followed and 250 deaths were recorded. The adjusted hazard ratios (HRs) for LLIN usage compared with no net usage were not significant among the models: 1.08 (95%CI 0.76–1.52), 1.19 (95%CI 0.69–2.08) and 0.92 (95%CI 0.42–2.02) for LLIN users, untreated net users, and any net users, respectively. A significant increasing linear trend in risk across LLIN density quartiles (HR = 1.25; 95%CI 1.03–1.51) and a decreasing linear trend in risk across young population density quartiles among non-net user children (HR = 0.77; 95%CI 0.63–0.94) were observed.ConclusionsAlthough our data showed that current LLIN coverage level (about 35%) could induce a community effect to protect children sleeping without bed nets even in a malaria-endemic area, it appears that a better system is needed to monitor the current malaria situation globally in order to optimize malaria control programs with limited resources