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Routinely MUAC screening for severe acute malnutrition should consider the gender and age group bias in the Ethiopian non-emergency context.

ABSTRACT: Early identification of children <5 years with severe acute malnutrition (SAM) is a high priority to reduce child mortality and improved health outcomes. Current WHO guidelines for community screening for SAM recommend a Mid-Upper-Arm Circumference (MUAC) of less than 115 mm to identify children with SAM, but this cut-off does not identify a significant number of children with a weight-for-height Z-score <-3. To establish new specific MUAC cut-offs, pooled data was obtained for 25,755 children from 49 SMART recent surveys in Ethiopia (2016-2019). Sensitivity, proportion of false positive, and areas under receiver-operator characteristic curves (AUC) were calculated. MUAC below 115mm alone identified 55% of children with SAM identified with both methodologies. MUAC was worse in identifying older children (21%), those from a pastoral region (42%) and boys (41%). Using current WHO cut-offs, the sensitivity (Se) of MUAC below 115mm to identify the children severly malnourished screened through Weight-for-height below-3 was 16%. Analysing the ROC curve and Youden Index, Se and Specificity (Sp) were maximal at a MUAC < 133 mm cut-off to identify SAM (respectively Se 61.1%, Sp 81.4%). However, given the high proportion of false-positive children, according to gender, region and age groups, a cut-off around 125 mm to screen SAM could be the optimal one. In Ethiopia, implementation of a MUAC-only screening program for the identification of severe acute malnutrition with the actual cut-off of 115 mm would be unethical as it will lead to many children remaining undiagnosed and untreated. In addition, future study on implementation challenge on screening children with a higher cut-off or gender/age sensitive ones should be assessed with the collection of mortality and morbidity data to ensure that the most in need are being taking care of.

SUBMITTER: Tessema M

PROVIDER: S-EPMC7144967 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Routinely MUAC screening for severe acute malnutrition should consider the gender and age group bias in the Ethiopian non-emergency context.

Tessema Masresha M Laillou Arnaud A Tefera Abiy A Teklu Yoseph Y Berger Jacques J Wieringa Frank T FT

PloS one 20200409 4

Early identification of children <5 years with severe acute malnutrition (SAM) is a high priority to reduce child mortality and improved health outcomes. Current WHO guidelines for community screening for SAM recommend a Mid-Upper-Arm Circumference (MUAC) of less than 115 mm to identify children with SAM, but this cut-off does not identify a significant number of children with a weight-for-height Z-score <-3. To establish new specific MUAC cut-offs, pooled data was obtained for 25,755 children f ...[more]

PMID: 32271790

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Project description:ImportanceGender disparities exist throughout medicine. Recent studies have highlighted an attainment gap between male and female residents in performance evaluations on Accreditation Council for Graduate Medical Education (ACGME) milestones. Because of difficulties in blinding evaluators to gender, it remains unclear whether these observed disparities are because of implicit bias or other causes.ObjectiveTo estimate the magnitude of implicit gender bias in assessments of procedural competency in emergency medicine residents and whether the gender of the evaluator is associated with identified implicit gender bias.Design, setting, and participantsA cross-sectional study was performed from 2018 to 2020 in which emergency medicine residency faculty assessed procedural competency by evaluating videos of residents performing 3 procedures in a simulated environment. They were blinded to the intent of the study. Proceduralists were filmed performing each procedure from 2 different viewpoints simultaneously by 2 different cameras. One was a gender-blinded (ie, hands-only) view, and the other a wide-angled gender-evident (ie, whole-body) view. The faculty evaluators viewed videos in a random order and assessed procedural competency on a global rating scale with extensive validity evidence for the evaluation of video-recorded procedural performance.Main outcomes and measuresThe primary outcome was to determine if there was a difference in the evaluation of procedural competency based on gender. The secondary outcome was to determine if there was a difference in the evaluations based on the gender of the evaluator.ResultsFifty-one faculty evaluators enrolled from 19 states, with 22 male participants (43.1%), 29 female participants (56.9%), and a mean (SD) age of 37 (6.4) years. Each evaluator assessed all 60 procedures: 30 gender-blinded (hands-only view) videos and 30 identical gender-evident (wide angle) videos. There were no statistically significant differences in the study evaluators' scores of the proceduralists based on their gender, and the gender of the evaluator was not associated with the difference in mean scores.Conclusions and relevanceIn this study, we did not identify a difference in the evaluation of procedural competency based upon the gender of the resident proceduralist or the gender of the faculty evaluator.

Dataset Information

Routinely MUAC screening for severe acute malnutrition should consider the gender and age group bias in the Ethiopian non-emergency context.

Publications

Routinely MUAC screening for severe acute malnutrition should consider the gender and age group bias in the Ethiopian non-emergency context.

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