Evaluation of an mHealth tool to improve nutritional assessment among infants under 6 months in paediatric development clinics in rural Rwanda: Quasi-experimental study.

Infants born preterm, low birthweight or with other perinatal complications require frequent and accurate growth monitoring for optimal nutrition and growth. We implemented an mHealth tool to improve growth monitoring and nutritional status assessment of high risk infants. We conducted a pre-post quasi-experimental study with a concurrent control group among infants enrolled in paediatric development clinics in two rural Rwandan districts. During the pre-intervention period (August 2017-January 2018), all clinics used standard paper-based World Health Organization (WHO) growth charts. During the intervention period (August 2018-January 2019), Kirehe district adopted an mHealth tool for child growth monitoring and nutritional status assessment. Data on length/height; weight; length/height-for-age (L/HFA), weight-for-length/height (WFL/H) and weight-for-age (WFA) z-scores; and interval growth were tracked at each visit. We conducted a 'difference-in-difference' analysis to assess whether the mHealth tool was associated with greater improvements in completion and accuracy of nutritional assessments and nutritional status at 2 and 6 months of age. We observed 3529 visits. mHealth intervention clinics showed significantly greater improvements on completeness for corrected age (endline: 65% vs. 55%; p = 0.036), L/HFA (endline: 82% vs. 57%; p ≤ 0.001), WFA (endline: 93% vs. 67%; p ≤ 0.001) and WFL/H (endline: 90% vs. 59%; p ≤ 0.001) z-scores compared with control sites. Accuracy of growth monitoring did not improve. Prevalence of stunting, underweight and inadequate interval growth at 6-months corrected age decreased significantly more in the intervention clinics than in control clinics. Results suggest that integrating mHealth nutrition interventions is feasible and can improve child nutrition outcomes. Improved tool design may better promote accuracy.

High Burden of Undernutrition among At-Risk Children in Neonatal Follow-Up Clinic in Rwanda.

Background: Sufficient knowledge of the disproportionate burden of undernutrition among vulnerable children is required for accelerating undernutrition reduction in low-income countries. Objectives: We aimed to assess the prevalence of stunting, underweight and wasting and associated factors among high-risk children born preterm, with low birth weight or other birth and neurodevelopmental injuries, who received nutritional support and clinical care follow-up in a Pediatric Development Clinic (PDC) in rural Rwanda. Methods: This cross-sectional study included all children from rural areas enrolled in PDC between April 2014-September 2017 aged 6-59 months at their last visit during this period. Anthropometric measurements, socioeconomic and clinical characteristics were extracted from an electronic medical records system. We used the World Health Organization child growth standards to classify stunting, underweight and wasting. Factors associated with undernutrition were identified using logistic regression analysis. Results: Of 641 children, 58.8% were stunted, 47.5% were underweight and 25.8% were wasted. Small for gestational age was associated with increased odds of stunting [OR 2.63; 95% CI 1.58-4.36] and underweight (OR 2.33; 95% CI 1.46-3.71), while history of feeding difficulties was significantly associated with wasting (OR: 3.36; 95% CI: 2.20-5.13) and underweight (OR: 2.68; 95% CI: 1.78-4.04). Later age at PDC enrollment was associated with increased odds of stunting (OR: 1.06; 95% CI: 1.01-1.11), underweight (OR: 1.09; 95% CI: 1.05-1.14) and wasting (OR: 1.07; 95% CI: 1.04-1.10). Conclusions: The prevalence of stunting, underweight and wasting are high in this at-risk population, highlighting the need for specific interventions to address undernutrition among children with similar characteristics. Early PDC enrollment of high-risk infants may reduce undernutrition risk.

Experience: developing an inpatient malnutrition checklist for children 6 to 59 months to improve WHO protocol adherence and facilitate quality improvement in a low-resource setting.

In low-resource settings, inpatient case fatality for severe acute malnutrition (SAM) remains high despite evidenced-based protocols and resources to treat SAM. Key reasons include a combination of insufficiently trained staff, poor teamwork and inadequate compliance to WHO treatment guidelines which are proven to reduce mortality. Checklists have been used in surgery and obstetrics to ameliorate similarly complicated yet repetitive work processes and may be a key strategy to improving inpatient SAM protocol adherence and reducing unnecessary death. Here, we share our experience developing and piloting an inpatient malnutrition checklist (MLNC) for children 6 to 59 months and associated scoring system to coordinate care delivery, improve team documentation, strengthen WHO malnutrition protocol adherence and facilitate quality improvement in a district hospital in rural Rwanda. MLNC was developed after careful review of the 2009 Rwandan National Nutrition Protocol and 2013 WHO malnutrition guidelines. Critical steps were harmonized, extracted and designed into an initial MLNC with input from pediatric ward nurses, doctors, a locally based pediatrician and a registered dietitian. A scoring system was developed to facilitate quality improvement. Using the standard Plan-Do-Study-Act cycle, MLNC was modified and progress assessed on a monthly to bimonthly basis. Significant modifications occurred in the first 6 months of piloting including incorporation of treatment reminders and formatting improvements, as well as initiation of the MLNC from the emergency department. The MLNC is the first checklist to be developed that unifies WHO 10 steps of treatment of inpatient SAM with local standards. Anecdotally, MLNC was observed to identify gaps in key malnutrition care, promote protocol adherence and facilitate quality improvement. Data gathering on the MLNC local facility impact is underway. Collaborative international efforts are needed to create an inpatient malnutrition checklist for wider use to improve quality and reduce unnecessary, facility-based child mortality.