Menu ENN Search

Incidence correction factors for moderate and severe acute child malnutrition from two longitudinal cohorts in Mali and Burkina Faso

View this article as a pdf

Research snapshot1

Accurate estimates of the burden of acute malnutrition (AM) are essential to support policy makers and nutrition programmers in decision making including predicting AM caseloads and preparing sufficient resources for treatment. As AM can be a transient state, incidence estimates, as opposed to prevalence rates, are needed to determine the true annual burden. In the absence of longitudinal data, obtaining incidence estimates is challenging and, as such, AM burden is typically approximated by converting prevalence estimates from cross-sectional surveys to a cumulative AM incidence using an ‘incidence correction factor’, ‘K’.

This study aimed to add to the body of evidence related to incidence correction factors. It estimated ‘K’ factors for severe acute malnutrition (SAM) and moderate acute malnutrition (MAM) based on longitudinal data (monthly data collected for 18 months) from two cluster-randomised control trials conducted between 2014 and 2017 in Burkina Faso and Mali (Innovative Approaches for the Prevention of Childhood Malnutrition-PROMIS study). SAM cases were included in the incidence calculation if they were preceded by one or more SAM-free months. Children who met the MAM criteria while recovering from SAM were not included in the MAM incidence calculation. Data was compared using complete (weight-for-length z-scores, mid-upper arm circumference (MUAC) and oedema) and partial (MUAC, oedema) definitions of SAM and MAM.

‘K’ factors for SAM were 9.4 and 5.7 in Burkina Faso and in Mali, respectively. The ‘K’ factors for MAM were 4.7 in Burkina Faso and 5.1 in Mali. MUAC and oedema based definitions of AM did not lead to different ‘K’ estimates and thus results suggest that ‘K’ can be reliably estimated when only MUAC and oedema based data are available.

When comparing incidence correction estimates to available prevalence data in the two countries, prevalence was found to underestimate the annual burden of SAM by a factor of 7 to 10 and that of MAM by a factor of 6. This study highlights the need for more contextualised incidence data to accurately measure AM burden.

 

Subscribe freely to receive Field Exchange content to your mailbox or front door.

Read more...

Endnotes

1 Barba F M, Huybregts L, Leroy J L. 2020. Incidence Correction Factors for Moderate and Severe Acute Child Malnutrition From 2 Longitudinal Cohorts in Mali and Burkina Faso, American Journal of Epidemiology, Volume 189, Issue 12, December 2020, Pages 1623–1627, https://doi.org/10.1093/aje/kwaa139

More like this

FEX: Improving estimates of numbers of children with severe acute malnutrition using cohort and survey data

Summary of Research Isanaka S, Boundy EO, Graise RF, Myatt M and Briend A. (2016). Improving Estimates of Numbers of Children With Severe Acute Malnutrition Using Cohort and...

FEX: Invited commentary: improving estimates of severe acute malnutrition requires more data

Summary of commentary1 Authors of an invited commentary on a recent paper by Isanaka et al (2016), that described development of an updated incidence-correction factor for...

en-net: Calculating caseloads-cmam=SAM/or MAM- need for clarification-part of the formula

From a document found in CMAM Forum on how to calaculate the SAM/ or MAM, The formula is: Case load = N × P × K × C N= total population of the under-fives in the catchment...

FEX: UNICEF call for data sharing for incidence analysis

UNICEF has issued a request to organisations to share data to inform an analysis of the incidence of severe acute malnutrition (SAM) at country level. This analysis aims to...

FEX: OptiMA study in Burkina Faso: Emerging findings and additional insights

View this article as a pdf Lisez cet article en français ici By Kevin PQ Phelan Kevin PQ Phelan is Nutrition Advisor at ALIMA, the Alliance for International Medical...

en-net: Caseload calculations and nutrition indicators

We are currently calculating people in need (PiN) as per the humanitarian needs overview (HNO). The two most recent large scale national nutrition surveys indicated GAM rates...

en-net: Proportion of SAM - oedema

Have findings from nutrition surveys found oedema cases to be 50% or higher of total SAM cases? Is this feasible in a country such as DRC? Many thanks - very...

FEX: Upcoming research shared at ACF research conference

At the ACF research conference, November 6th, 2016, experiences were shared from a number of studies where final results will be made available in 2017. A snapshot of what to...

en-net: Planning of CMAM services

The number of the children who need CMAM services is based on the prevalence data from nutrition surveys that indicate the numbers of children with SAM/MAM at a given time. For...

en-net: How to calculate the burden of SAM knowing the incidence

Hello dear colleagues and professionals in the nutrition sector. I am faced with an exercise that made me very tired. Thank you for helping me. Here is the exercise: In the...

FEX: A single coverage estimator for use in SQUEAC, SLEAC, and other CMAM coverage assessments

By Safari Balegamire (VALID International), Katja Siling (World Food Programme), Jose Luis Alvarez Moran (Coverage Monitoring Network), Ernest Guevarra (VALID International),...

FEX: Simplifying the response to childhood malnutrition: MSF’s experience with MUAC-based (and oedema) programming

By Kevin P.Q. Phelan, Candelaria Lanusse, Saskia van der Kam, Pascale Delchevalerie, Nathalie Avril and Kerstin Hanson Kevin P.Q. Phelan was the Nutrition Working Group Leader...

en-net: Use of single coverage estimator with expanded OTP protocol

In the Cox's Bazar refugee settlements, nutrition sector partners are using an expanded protocol for OTP. Children are admitted to OTP based on regular international...

FEX: New approach to simplifying and optimising acute malnutrition treatment in children aged 6 to 59 months: The OptiMA single-arm proof-of-concept trial in Burkina Faso

View this article as a pdf Research snapshot1 OptiMA (Optimizing treatment for acute MAlnutrition) is a simplified protocol that aims to treat both moderate and severe acute...

FEX: Estimating ‘people in need’ from combined GAM in Afghanistan

View this article as a pdf Lisez cet article en français ici By Alexandra Humphreys, Bijoy Sarker, Baidar Bakht Habib, Anteneh Gebremichael Dobamo and Danka...

en-net: Caseload calculations (incidence rate)

I'm currently training some folks on how to calculate expected CMAM caseload using the (prevalence + incidence) * coverage equation. I'm having difficulty explaining to my team...

en-net: Sphere standard for Relapse after severe acute malnutrition - WHO

Dear All I am trying to find out if there is a sphere standard for relapse after severe malnutrition among children aged 6 -59 months in a community-based management of...

FEX: SAM and MAM programming in East and West Africa: An insight into continuum of service provision for acute malnutrition treatment

View this article as a pdf By Rebecca Brown, Kate Sadler, Tanya Khara, Marie McGrath and Jeremy Shoham Rebecca Brown is an experienced public health nutritionist engaged as...

en-net: Target weight based minimum weight during treatment at OTP sites

Hello every one During treatment of SAM children in OTP we often find some drop in weight for new enrolled children in initial couple of weeks. Pakistan CMAM guideline...

FEX: Lessons learned from evaluations of the impact of WFP programmes on moderate acute malnutrition in the Sahel

View this article as a pdf Lisez cet article en français ici By Jonas Heirman, Mica Jenkins and Jennifer Rosenzweig Jonas Heirman leads impact evaluation activities...

Close

Reference this page

Incidence correction factors for moderate and severe acute child malnutrition from two longitudinal cohorts in Mali and Burkina Faso. Field Exchange 64, January 2021. p82. www.ennonline.net/fex/64/incidencestudy

(ENN_6937)

Close

Download to a citation manager

The below files can be imported into your preferred reference management tool, most tools will allow you to manually import the RIS file. Endnote may required a specific filter file to be used.