Recovery time and associated factors of severe acute malnutrition among children in Bahir Dar city, Northwest Ethiopia: an institution based retrospective cohort study

Abstract

BackgroundMalnutrition commonly affects all groups in a community, but infants and young children are the most vulnerable. Worldwide, nearly 24 million under five children experience severe acute malnutrition (SAM) which contributes to one million child deaths yearly and 19 million severely wasted children are living in developing countries. While the treatment of severe acute malnutrition (SAM) is well established, achieving desired outcomes has proven to be challenging. There is limited evidence showing the success of treatments in the study area. Therefore, this study aimed to determine recovery time from severe acute malnutrition and identify predictors among children of 6–59 months of age.MethodsFacility based retrospective cohort study was conducted among 401 children 6–59 months of age who have been treated for SAM. Both descriptive and analytic analyses were executed. The results were determined using Kaplan-Meier procedure, log-rank test and Cox-regression. Variables having P-value ≤0.2 during binary analysis were entered into multivariate analysis. P value < 0.05 was considered as statistically significant.ResultsThe recovery rate was 51.9% and the median recovery time was 16 days (95%CI: 14.233–17.767). Controlling for other factors; having anemia at admission, no plumpy nut provision, failing to enter in to phase 2 on day 10 and a weight gain of more than 8 g/kg/day were significant predictors of recovery time.ConclusionsNutritional recovery rate was far outside of the accepted minimum international standard while median recovery time ranged in the accepted minimum international standard. Children had a lower chance of recovering early when they had anemia at admission, not provided plumpy nut, failed to enter phase 2 on day 10 and failed to gain more than 8 g/kg/day. Therefore, efforts should be strengthened to facilitate early recovery of children by considering the identified predictors of recovery time.