Background Many of the nongenetic causal risk factors of intellectual disability (ID) can be prevented if they are identified early. There is paucity on information regarding potential risk factors associated with this condition in Kenya. This study aimed to establish risk factors associated with severity of nongenetic intellectual disability (ID) among children presenting with this condition at Kenyatta National Hospital (KNH). Methods A hospital-based cross-sectional study was conducted over the period between March and June 2017 in pediatric and child/youth mental health departments of Kenyatta National Hospital (KNH), Kenya. It included children aged 2–18 years diagnosed with ID without underlying known genetic cause. Results Of 97 patients with nongenetic ID, 24% had mild ID, 40% moderate, 23% severe-profound, and 10% unspecified ID. The mean age of children was 5.6 (±3.6) years. Male children were predominant (62%). Three independent factors including “labor complications” [AOR = 9.45, 95% CI = 1.23–113.29, P = 0.036], “admission to neonatal intensive care unit” [AOR = 8.09, 95% CI = 2.11–31.07, P = 0.002], and “cerebral palsy” [AOR = 21.18, CI = 4.18–107.40, P ≤ 0.001] were significantly associated with increased risk of severe/profound nongenetic ID. Conclusion The present study findings suggest that perinatal complications as well as postnatal insults are associated with increased risk of developing severe-profound intellectual disability, implying that this occurrence may be reduced with appropriate antenatal, perinatal, and neonatal healthcare interventions.

Background Global investments in neonatal survival have resulted in a growing number of children with morbidities surviving and requiring ongoing care. Little is known about the caregivers of these children in low- and middle-income countries, including maternal mental health which can further negatively impact child health and development outcomes. We aimed to assess the prevalence and factors associated with poor maternal mental health in mothers of children born preterm, low birthweight (LBW), and with hypoxic ischemic encephalopathy (HIE) at 24–47 months of age in rural Rwanda. Methods Cross-sectional study of children 24–47 months born preterm, LBW, or with HIE, and their mothers discharged from the Neonatal Care Unit (NCU) at Kirehe Hospital between May 2015–April 2016 or discharged and enrolled in a NCU follow-up program from May 2016–November 2017. Households were interviewed between October 2018 and June 2019. Mothers reported on their mental health and their child’s development; children’s anthropometrics were measured directly. Backwards stepwise procedures were used to assess factors associated with poor maternal mental health using logistic regression. Results Of 287 total children, 189 (65.9%) were born preterm/LBW and 34.1% had HIE and 213 (74.2%) screened positive for potential caregiver-reported disability. Half (n = 148, 51.6%) of mothers reported poor mental health. In the final model, poor maternal mental health was significantly associated with use of violent discipline (Odds Ratio [OR] 2.29, 95% Confidence Interval [CI] 1.17,4.45) and having a child with caregiver-reported disability (OR 2.96, 95% CI 1.55, 5.67). Greater household food security (OR 0.80, 95% CI 0.70–0.92) and being married (OR = 0.12, 95% CI 0.04–0.36) or living together as if married (OR = 0.13, 95% CI 0.05, 0.37) reduced the odds of poor mental health. Conclusions Half of mothers of children born preterm, LBW and with HIE had poor mental health indicating a need for interventions to identify and address maternal mental health in this population. Mother’s poor mental health was also associated with negative parenting practices. Specific interventions targeting mothers of children with disabilities, single mothers, and food insecure households could be additionally beneficial given their strong association with poor maternal mental health.

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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.

The general objective of this study was to assess the predicators of nutrition management failure among children under-five who participated in the nutrition program from 2012 up to 2015 in Nyamasheke District, Rwanda. The study included 169 children, out of which 78 were males and the remaining 91 were females. Of the children examined, 20.1% exhibited stunting growth of these 61.8% were females, 42.6% were underweight of these 51.4% were females and 10.1% were wasting of these 70.6% were males. Failure of nutritional management intervention was associated with both health system and family related factors. The common Health system predictors associated with failure of nutritional management programme were few activities related to the promotion of breastfeeding (OR: 5.0; 95 % CI: 1.56-16.2, P = 0.007), not following the Ministry of Health malnutrition management guidelines (OR: 5.85, 95% CI: 1.93417.69, P = 0.002), and poor knowledge about malnutrition management guideline (OR: 0.45, 95% CI: 0.21-0.99, P = 0.049). Family related predictors associated to the failure of nutritional management intervention include childhood illness such as fever (OR: 0.76, 95% CI: 0.36-1.61 P= 0.035), duration of breastfeeding (OR 0.7: 95% CI: 0.45-7.02 p = 0.035), number of meals per day (OR: 1.85 95% CI: 0.60-5.73; P = 0.002), and maternal age (OR: 1.96, 95% CI: 0.31-12.12; P = 0.027). These factors associated with failure of nutrition management should be considered in establishing effective measures for successful management and prevention of malnutrition.