RESUMEN
BACKGROUND: Kenya is faced with a triple burden of malnutrition which is multi-faceted with health and socio-economic implications. Huge geographical disparities exist, especially, in the arid and semi-arid lands exacerbated by inadequate resource allocation to the nutrition sector and challenges in multi-sectoral coordination and nutrition governance. UNICEF's Maternal and Child Nutrition Programme is a four-year (2018-2022) resilience-building, multi-sectoral program focused on pregnant and lactating women, mothers of children under five years and children under five years. The objective of the mid-term evaluation was to establish the relevance, effectiveness, efficiency, and sustainability of the programme. METHODS: The field evaluation conducted between June and July 2021, adopted a concurrent mixed-methods approach, where qualitative information was gathered through 29 key informant interviews and 18 focus group discussions (6 FGDs per population group; women of reproductive age, adolescent girls and men). Quantitatively, data were obtained through desk review of secondary data from programme reports, budgets, and project outputs where descriptive analysis was undertaken using Excel software. Qualitative information was organized using Nvivo software and analyzed thematically. RESULTS: The findings provide evidence of the relevance of the Maternal and Child Nutrition Programme II to the nutrition situation in Kenya and its alignment with the Government of Kenya and donor priorities. Most planned programme targets were achieved despite operating in a COVID-19 pandemic environment. The use of innovative approaches such as family mid-upper arm circumference, integrated management of acute malnutrition surge model, Malezi bora and Logistic Management Information Management System contributed to the realization of effective outputs and outcomes. Stringent financial management strategies contributed toward programme efficiencies; however, optimal utilization of the resources needs further strengthening. The programme adopted strategies for strengthening local capacity and promoting ownership and long-term sustainability. CONCLUSION: The programme is on track across the four evaluation criteria. However, a few suggestions are recommended to improve relevance, effectiveness, efficiency, and sustainability. A formal transition strategy needs to be developed in consultation with multi-stakeholder groups and implemented in phases. UNICEF Nutrition section should explore a more integrated programming mode of delivery through joint initiatives with other agencies under the Delivery as One UN agenda, along the more gender transformative approaches with more systematic involvement of males and females in gender-based discussions.
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COVID-19 , Desnutrición , Adolescente , Niño , Masculino , Embarazo , Femenino , Humanos , Preescolar , Kenia/epidemiología , Lactancia , Pandemias , MadresRESUMEN
BACKGROUND: Cholera remains endemic in sub-Saharan Africa. We characterized the 2009 cholera outbreaks in Kenya and evaluated the response. METHODS: We analyzed surveillance data and estimated case fatality rates (CFRs). Households in 2 districts, East Pokot (224 cases; CFR = 11.7%) and Turkana South (1493 cases; CFR = 1.0%), were surveyed. We randomly selected 15 villages and 8 households per village in each district. Healthcare workers at 27 health facilities (HFs) were surveyed in both districts. RESULTS: In 2009, cholera outbreaks caused a reported 11 425 cases and 264 deaths in Kenya. Data were available from 44 districts for 6893 (60%) cases. District CFRs ranged from 0% to 14.3%. Surveyed household respondents (n = 240) were aware of cholera (97.5%) and oral rehydration solution (ORS) (87.9%). Cholera deaths were reported more frequently from East Pokot (n = 120) than Turkana South (n = 120) households (20.7% vs. 12.3%). The average travel time to a HF was 31 hours in East Pokot compared with 2 hours in Turkana South. Fewer respondents in East Pokot (9.8%) than in Turkana South (33.9%) stated that ORS was available in their village. ORS or intravenous fluid shortages occurred in 20 (76.9%) surveyed HFs. CONCLUSIONS: High CFRs in Kenya are related to healthcare access disparities, including availability of rehydration supplies.
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Cólera/epidemiología , Cólera/mortalidad , Epidemias/estadística & datos numéricos , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Niño , Preescolar , Femenino , Humanos , Lactante , Kenia/epidemiología , Masculino , Persona de Mediana Edad , Factores de Tiempo , Adulto JovenRESUMEN
BACKGROUND: Evidence-based nutrition programs depend on accurate estimates of malnutrition derived from data collected in population representative surveys. The feasibility of obtaining accurate anthropometric data as part of national, multisectoral surveys has been a debated issue. OBJECTIVES: The study aimed to evaluate changes in anthropometric data quality corresponding to investments by the Kenya Ministry of Health and nutrition sector partners for the 2014 Kenya Demographic Health Survey. METHODS: Anthropometric data collected during the 2008 to 2009 and 2014 Kenya surveys were reanalyzed to assess standard parameters of quality: standard deviation, skewness, and kurtosis of z-score values for 3 anthropometric indicators (weight for height, height for age, and weight for age), percentage of children with missing measurements and outlier values, digit preference, and heaping of age. RESULTS: A total of 9936 households were selected in 2008 to 2009, and 39 679 households were selected in 2014. Standard deviation of z-scores for all 3 indicators was smaller in 2014 than in 2008 to 2009. Applying original Demographic and Health Survey exclusion criteria, weight for height z-scores were 1.16 in 2014, 10.1% narrower than 2008 to 2009. The percentage of outlying values declined significantly from 2008 to 2009 to 2014 for both height for age and weight for height ( P < .001). Digit preference scores in 2014 improved for both weight ( P = .011) and height ( P < .001) suggesting less rounding of terminal digits. CONCLUSIONS: All tests of data quality suggest an improvement in 2014 relative to 2008 to 2009, despite the complexity implied by the larger sample. This improvement corresponds with efforts to enhance training and supervision of anthropometry, suggesting a positive effect of these enhancements.