scholarly journals Sustainability and Scaling-Up Analysis of Community-Based Management of Acute Malnutrition: Lessons Learned from Burkina Faso

2013 ◽  
Vol 34 (3) ◽  
pp. 338-348 ◽  
Author(s):  
Yassinmè Elysée Somassè ◽  
Paluku Bahwere ◽  
Samia Laokri ◽  
Nazia Elmoussaoui ◽  
Philippe Donnen
2021 ◽  
Author(s):  
Evert-jan Quak

This rapid review synthesises the literature on how community-based management of acute malnutrition (CMAM) programmes could be adapted in settings of conflict and fragility. It identifies multiple factors affecting the quality and effectiveness of CMAM services including the health system, community engagement and linkages with other programmes, including education, sanitation, and early childhood development. Family MUAC (Mid-Upper Arm Circumference) is a useful tool to increase community participation and detect early cases of moderate acute malnutrition (MAM) and severe acute malnutrition (SAM) more effectively and less likely to require inpatient care. The literature does not say a lot about m-Health solutions (using mobile devises and applications) in data collection and surveillance systems. Many of the above-mentioned issues are relevant for CMAM programmes in settings of non-emergency, emergency, conflict and fragility. However, there are special circumstance in conflict and fragile settings that need adaptation and simplification of the standard protocols. Because of a broken or partly broken health system in settings of conflict and fragility, local governments are not able to fund access to adequate inpatient and outpatient treatment centres. NGOs and humanitarian agencies are often able to set up stand-alone outpatient therapeutic programmes or mobile centres in the most affected regions. The training of community health volunteers (CHVs) is important and implementing Family MUAC. Importantly, research shows that: Low literacy of CHVs is not a problem to achieve good nutritional outcomes as long as protocols are simplified. Combined/simplified protocols are not inferior to standard protocols. However, due to complexities and low funding, treatment is focused on SAM and availability for children with MAM is far less prioritised, until they deteriorate to SAM. There is widespread confusion about combined/simplified protocol terminology and content, because there is no coherence at the global level.


2013 ◽  
Vol 1 (1) ◽  
pp. 117-133 ◽  
Author(s):  
John Koku Awoonor-Williams ◽  
Elias Kavinah Sory ◽  
Frank K Nyonator ◽  
James F Phillips ◽  
Chen Wang ◽  
...  

2015 ◽  
Vol 12 (4) ◽  
pp. 908-917 ◽  
Author(s):  
Yassinmè Elysée Somassè ◽  
Michèle Dramaix ◽  
Paluku Bahwere ◽  
Philippe Donnen

2018 ◽  
Vol 15 (2) ◽  
pp. e12688 ◽  
Author(s):  
Sheila Isanaka ◽  
Kerstin E. Hanson ◽  
Severine Frison ◽  
Christopher T. Andersen ◽  
Sandra Cohuet ◽  
...  

Author(s):  
Darlene Williamson

Given the potential of long term intervention to positively influence speech/language and psychosocial domains, a treatment protocol was developed at the Stroke Comeback Center which addresses communication impairments arising from chronic aphasia. This article presents the details of this program including the group purposes and principles, the use of technology in groups, and the applicability of a group program across multiple treatment settings.


2020 ◽  
Vol 189 (12) ◽  
pp. 1623-1627
Author(s):  
Francisco M Barba ◽  
Lieven Huybregts ◽  
Jef L Leroy

Abstract Child acute malnutrition (AM) is an important cause of child mortality. Accurately estimating its burden requires cumulative incidence data from longitudinal studies, which are rarely available in low-income settings. In the absence of such data, the AM burden is approximated using prevalence estimates from cross-sectional surveys and the incidence correction factor $K$, obtained from the few available cohorts that measured AM. We estimated $K$ factors for severe acute malnutrition (SAM) and moderate acute malnutrition (MAM) from AM incidence and prevalence using representative cross-sectional baseline and longitudinal data from 2 cluster-randomized controlled trials (Innovative Approaches for the Prevention of Childhood Malnutrition—PROMIS) conducted between 2014 and 2017 in Burkina Faso and Mali. We compared K estimates using complete (weight-for-length z score, mid-upper arm circumference (MUAC), and edema) and partial (MUAC, edema) definitions of SAM and MAM. $K$ estimates for SAM were 9.4 and 5.7 in Burkina Faso and in Mali, respectively; K estimates for MAM were 4.7 in Burkina Faso and 5.1 in Mali. The MUAC and edema–based definition of AM did not lead to different $K$ estimates. Our results suggest that $K$ can be reliably estimated when only MUAC and edema-based data are available. Additional studies, however, are required to confirm this finding in different settings.


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