Food banking for improved nutrition of HIV infected orphans and vulnerable children; emerging evidence from quality improvement teams in high food insecure regions of Kiambu, Kenya.

INTRODUCTION: Estimated 236,548 People Living with HIV (PLHIV) were in Central-Eastern Kenya in 2013. Kiambu County had 46,656 PLHIV with 42,400 (91%) adults and 4,200(9%) children (1-14yrs). Amref Health Africa in Kenya, supported through USAID-APHIAplus KAMILI project, initiated two food banks to respond to poor nutritional status of the HIV infected children. Quality Improvement Teams were used to facilitate food-banking initiatives. The study aimed at assessing and demonstrating roles of community food-banking in improving nutrition status of HIV-infected children in food insecure regions. METHODS: A pre and post-test study lasting 12 months (Oct 2013 to September 2014) conducted in Kiambu County, Kenya covering 103 HIV infected children. Two assessments were conducted before and after the food banking initiative and results compared. Child Status Index (CSI) and the Middle Upper Arm Circumference (MUAC) tools were used in data collection at households. Paired T-test and Wilcoxon test were applied for analysing MUAC and CSI scores respectively using the SPSS. RESULTS: There was a significant improvement in the children's nutrition status from a rating of 'bad' in CSI Median (IQR) score 2(2-1) before food banking to a rating of 'fair' in CSI Median (IQR) score 3(4-3) after food banking intervention (p=<0.001) while MUAC increased from Mean (SD) of 5.6(2.6) before intervention to 7.2(2.8) after food banking (p=<0.001). CONCLUSION: Food banking is a community-based nutritional intervention that can address factors of food access, affordability and availability. Food banking is a sustainable way to contribute to quality nutrition and reduced related deaths among HIV infected children.

Client satisfaction determinants in four Kenyan slums.

PURPOSE: In Kenya, gaps exist in health service provision to slum residents, especially service availability and access to quality care. There is also little information on the health status of people living in slums other than in Nairobi. The purpose of this paper is to generate evidence for use in designing interventions to improve health services in four mid-sized slums in Embu, Nyeri and Thika, Kenya. DESIGN/METHODOLOGY/APPROACH: A cross-sectional survey of clients receiving services in health facilities was conducted in the targeted slums. Data were collected through face-to-face interviews. Factor scores were generated using the Rasch model; simple and multivariate logistic regression analyses were done using the R statistical software. FINDINGS: Overall, 81 per cent of the 203 participants reported being satisfied with health services. Most clients (89 per cent) reported that health facility staff greeted them warmly; 82 per cent said their consultation was private. The facility type, waiting time and client experience with service providers determined their satisfaction (p<0.05). PRACTICAL IMPLICATIONS: Healthcare managers can improve client satisfaction levels by understanding the client flow in their facilities and addressing causes of client dissatisfaction, such as long waiting times, while at the same time promoting facilitating factors. ORIGINALITY/VALUE: The authors use latent variable modelling to compute client satisfaction scores, which were dichotomised into two categories and fitted into a logistic regression model to identify factors that influence client satisfaction. Health facility clients in the four slums are satisfied with services and have confidence the providers will serve them in a friendly and professional manner that promotes respect and quality care. The paper recommend healthcare managers in similar settings carry out client flow analysis and institute remedial measures to address long waiting times. Qualitative studies are recommended to determine the reasons behind the high satisfaction levels reported in this study.