Child growth stunting remains a challenge in sub-Saharan Africa, where 34% of children under 5 years are stunted, and causing detrimental impact at individual and societal levels. Identifying risk factors to stunting is key to developing proper interventions. This study aimed at identifying risk factors of stunting in Rwanda. We used data from the Rwanda Demographic and Health Survey (DHS) 2014–2015. Association between children’s characteristics and stunting was assessed using logistic regression analysis. A total of 3594 under 5 years were included; where 51% of them were boys. The prevalence of stunting was 38% (95% CI: 35.92–39.52) for all children. In adjusted analysis, the following factors were significant: boys (OR 1.51; 95% CI 1.25–1.82), children ages 6–23 months (OR 4.91; 95% CI 3.16–7.62) and children ages 24–59 months (OR 6.34; 95% CI 4.07–9.89) compared to ages 0–6 months, low birth weight (OR 2.12; 95% CI 1.39–3.23), low maternal height (OR 3.27; 95% CI 1.89–5.64), primary education for mothers (OR 1.71; 95% CI 1.25–2.34), illiterate mothers (OR 2.00; 95% CI 1.37–2.92), history of not taking deworming medicine during pregnancy (OR 1.29; 95%CI 1.09–1.53), poorest households (OR 1.45; 95% CI 1.12–1.86; and OR 1.82; 95%CI 1.45–2.29 respectively). Family-level factors are major drivers of children’s growth stunting in Rwanda. Interventions to improve the nutrition of pregnant and lactating women so as to prevent low birth weight babies, reduce poverty, promote girls’ education and intervene early in cases of malnutrition are needed.

Background: Large scale physical distancing measures and movement restrictions imposed to contain COVID-19, often referred to as ‘lockdowns’, abruptly and ubiquitously restricted access to routine healthcare services. This study describes reported barriers and coping mechanisms to accessing healthcare among chronic care patients during the nationwide COVID-19 lockdown in Rwanda. Methods: This cross-sectional study was conducted among chronic care patients enrolled in pediatric development, HIV/AIDS, non-communicable diseases, mental health, and oncology programs at 3 rural Rwandan districts. Active patients with an appointment scheduled between March–June 2020 and a phone number recorded in the electronic medical record system were eligible. Data were collected by telephone interviews between 23rd April and 11th May 2020, with proxy reporting by caregivers for children and critically ill-patients. Fisher’s exact tests were used to measure associations. Logistic regression analysis was also used to assess factors associated with reporting at least one barrier to accessing healthcare during the lockdown. Results: Of 220 patient respondents, 44% reported at least one barrier to accessing healthcare. Barriers included lack of access to emergency care (n = 50; 22.7%), lack of access to medication (n = 44; 20.0%) and skipping clinical appointments (n = 37; 16.8%). Experiencing barriers was associated with the clinical program (p < 0.001), with oncology patients being highly affected (64.5%), and with increasing distance from home to the health facility (p = 0.031). In the adjusted logistic regression model, reporting at least one barrier to accessing healthcare was associated with the patient's clinical program and district of residence. Forty (18.2%) patients identified positive coping mechanisms to ensure continuation of care, such as walking long distances during suspension of public transport (n = 21; 9.6%), contacting clinicians via telephone for guidance or rescheduling appointments (n = 15; 6.8%), and delegating someone else for medication pick-up (n = 6; 2.7%). Of 124 patients who reported no barriers to accessing healthcare, 9% used positive coping mechanisms. Conclusion: A large proportion of chronic care patients experienced barriers to accessing healthcare during the COVID-19 lockdown. However, many patients also independently identified positive coping mechanisms to ensure continuation of care - strategies that could be formally adopted by healthcare systems in Rwanda and similar settings to mitigate effects of future lockdowns on patients.

Reliable Health Management and Information System (HMIS) data can be used with minimal cost to identify areas for improvement and to measure impact of healthcare delivery. However, variable HMIS data quality in low- and middle-income countries limits its value in monitoring, evaluation and research. We aimed to review the quality of Rwandan HMIS data for maternal and newborn health (MNH) based on consistency of HMIS reports with facility source documents. We conducted a cross-sectional study in 76 health facilities (HFs) in four Rwandan districts. For 14 MNH data elements, we compared HMIS data to facility register data recounted by study staff for a three-month period in 2017. A HF was excluded from a specific comparison if the service was not offered, source documents were unavailable or at least one HMIS report was missing for the study period. World Health Organization guidelines on HMIS data verification were used: a verification factor (VF) was defined as the ratio of register over HMIS data. A VF1.10 indicated over- and under-reporting in HMIS, respectively. High proportions of HFs achieved acceptable VFs for data on the number of deliveries (98.7%;75/76), antenatal care (ANC1) new registrants (95.7%;66/69), live births (94.7%;72/76), and newborns who received first postnatal care within 24 hours (81.5%;53/65). This was slightly lower for the number of women who received iron/folic acid (78.3%;47/60) and tested for syphilis in ANC1 (67.6%;45/68) and was the lowest for the number of women with ANC1 standard visit (25.0%;17/68) and fourth standard visit (ANC4) (17.4%;12/69). The majority of HFs over-reported on ANC4 (76.8%;53/69) and ANC1 (64.7%;44/68) standard visits. There was variable HMIS data quality by data element, with some indicators with high quality and also consistency in reporting trends across districts. Over-reporting was observed for ANC-related data requiring more complex calculations, i.e., knowledge of gestational age, scheduling to determine ANC standard visits, as well as quality indicators in ANC. Ongoing data quality assessments and training to address gaps could help improve HMIS data quality.

Unexpectedly, the duration of first unemployment among first degree holders has quickly increased in Rwanda after considerable loss of the skilled labour during the war and Genocide perpetrated against Tutsi in 1994. The time it takes a higher education graduate to land a first employment is a key indicator for the evaluation of and optimal investment in higher education. A long-term first unemployment has negative psychosocial and economic consequences, and is an interplay of diversified factors. Yet, these factors have not been ascertained in Rwanda, whereas their knowledge is crucial for an efficient planning of higher education and employability of the graduates. This study aimed to fill in this knowledge gap for the period 1998–2009. We fitted a binary logistic regression model to data from the 2010 Employer and Graduate Survey (n = 1007) that was conducted by the National University of Rwanda. The results showed that the duration of first unemployment was significantly associated to the graduate’s age, job search method, acquired skills, further graduate studies, monthly salary and category of employing institution. The results suggest that the higher education sector should identify and fill skills gaps in the existing curricula or its delivery with reference to the labour market requirements.

Background. Neonatal hypothermia remains a challenge in resource-limited settings. Methods. We conducted a prospective mixed-methods cohort study in rural Rwandan health centers to assess the performance of an infant warmer we designed for low-resource settings. All hypothermic infants were eligible for enrollment. Outcomes. Safety: incidence of adverse reactions. Effectiveness: attainment of euthermia, rate of temperature rise. Feasibility: correct use of warmer, signs of wear. Interviews of caregivers and nurses. Findings. Of 102 encounters, there were no adverse reactions. Of 80 encounters for hypothermia when infants on warmer for ≥1 hour, 79 achieved euthermia; 73 in ≤2 hours. Of the 80 encounters, 64 had temperature rise ≥0.5°C/h. Of the 102 encounters, there were no instances of the warmer being prepared, used, or cleaned incorrectly. Five out of the 12 warmers exhibited wear. Interview participants were predominantly positive; some found time for readiness of warmer challenging. Interpretation. The warmer performed well. It is appropriate to study in larger scale.