Improving estimates of the burden of severe wasting: analysis of secondary prevalence and incidence data from 352 sites

IntroductionEstimates of incident cases of severe wasting among young children are not available for most settings but are needed for optimal planning of treatment programmes and burden estimation. To improve programme planning, global guidance recommends a single ‘incidence correction factor’ of 1.6 be applied to available prevalence estimates to account for incident cases. This study aimed to update estimates of the incidence correction factor to improve programme planning and inform the approach to burden estimation for severe wasting.MethodsA global call was issued for secondary data from severe wasting treatment programmes including prevalence, population size, programme admission and programme coverage through a UNICEF-led effort. Site-specific incidence correction factors were calculated as the number of incident cases (annual programme admissions/programme coverage) divided by the number of prevalent cases (prevalence*population size). Estimates were aggregated by country, region and overall using inverse-variance weighted random-effects meta-analysis.ResultsWe estimated incidence correction factors from 352 sites in 20 countries. Estimates aggregated by country ranged from 1.3 (Nigeria) to 30.1 (Burundi). Excluding implausible values, the overall incidence correction factor was 3.6 (95% CI 3.4 to 3.9).ConclusionOur results suggest that incidence correction factors vary between sites and that the burden of severe wasting will often be underestimated using the currently recommended incidence correction factor of 1.6. Application of updated incidence correction factors represents a simple way to improve programme planning when incidence data are not available and could inform the approach to burden estimation.

Integrated survey methodologies for neglected tropical diseases

The 2021–2030 Neglected Tropical Diseases road map calls for intensified cross-cutting approaches. By moving away from vertical programming, the integration of platforms and intervention delivery aims to improve efficiency, cost-effectiveness and programme coverage. Drawing on the direct experiences of the authors, this article outlines key elements for successful integrated surveys, the challenges encountered, as well as future opportunities and threats to such surveys. There are multiple advantages. Careful planning should ensure that integration does not result in a process that is less efficient, more expensive or that generates data driving less reliable decisions than conducting multiple disease-specific surveys.

Refocusing vitamin A supplementation programmes to reach the most vulnerable

WHO recommends vitamin A supplementation (VAS) programmes for children 6–59 months where vitamin A deficiency is a public health problem. However, resources for VAS are falling short of current needs and programme coverage is suffering. The authors present the case for considering the options for shifting efforts and resources from a generalised approach, to prioritising resources to reach populations with continued high child mortality rates and high vitamin A deficiency prevalence to maximise child survival benefits . This includes evaluating where child mortality and/or vitamin A deficiency has dropped, as well as using under 5 mortality rates as a proxy for vitamin A deficiency, in the absence of recent data. The analysis supports that fewer countries may now need to prioritise VAS than in the year 2000, but that there are still a large number of countries that do. The authors also outline next steps for analysing options for improved targeting and cost-effectiveness of programmes. Focusing VAS resources to reach the most vulnerable is an efficient use of resources and will continue to promote young child survival.