BACKGROUND: In Rwanda, the prevalence of childhood stunting has slightly decreased over the past five years, from 38% in 2015 to about 33% in 2020. It is evident whether Rwanda\'s multi-sectorial approach to reducing child stunting is consistent with the available scientific knowledge. The study was to examine the benefits of national nutrition programs on stunting reduction under two years in Rwanda using machine learning classifiers.
METHODS: Data from the Rwanda DHS 2015-2020, MEIS and LODA household survey were used. By evaluating the best method for predicting the stunting reduction status of children under two years old, the five machine learning algorithms were modelled: Support Vector Machine, Logistic Regression, K-Near Neighbor, Random Forest, and Decision Tree. The study estimated the hazard ratio for the Cox Proportional Hazard Model and drew the Kaplan-Meier curve to compare the survivor risk of being stunted between program beneficiaries and non-beneficiaries. Logistic regression was used to identify the nutrition programs related to stunting reduction. Precision, recall, F1 score, accuracy, and Area under the Curve (AUC) are the metrics that were used to evaluate each classifier\'s performance to find the best one.
RESULTS: Based on the provided data, the study revealed that the early childhood development (ECD) program (p-value = 0.041), nutrition sensitive direct support (NSDS) program (p-value = 0.03), ubudehe category (p-value = 0.000), toilet facility (p-value = 0.000), antenatal care (ANC) 4 visits (p-value = 0.002), fortified blended food (FBF) program (p-value = 0.038) and vaccination (p-value = 0.04) were found to be significant predictors of stunting reduction among under two children in Rwanda. Additionally, beneficiaries of early childhood development (p  < .0001), nutrition sensitive direct support (p = 0.0055), antenatal care (p = 0.0343), Fortified Blended Food (p = 0.0136) and vaccination (p = 0.0355) had a lower risk of stunting than non-beneficiaries. Finally, Random Forest performed better than other classifiers, with precision scores of 83.7%, recall scores of 90.7%, F1 scores of 87.1%, accuracy scores of 83.9%, and AUC scores of 82.4%.
CONCLUSIONS: The early childhood development (ECD) program, receiving the nutrition sensitive direct support (NSDS) program, focusing on households with the lowest wealth quintile (ubudehe category), sanitation facilities, visiting health care providers four times, receiving fortified blended food (FBF), and receiving all necessary vaccines are what determine the stunting reduction under two among the 17 districts of Rwanda. Finally, when compared to other models, Random Forest was shown to be the best machine learning (ML) classifier. Random forest is the best classifier for predicting the stunting reduction status of children under two years old.

UNASSIGNED: The coronavirus disease 2019 (COVID-19) pandemic led to disruptions of health service delivery in many countries; some were more resilient in either limiting or rapidly responding to the disruption than others. We used mixed methods implementation research to understand factors and strategies associated with resiliency in Rwanda and Bangladesh, focussing on how evidence-based interventions targeting amenable under-five mortality that had been used during the Millennium Development Goal (MDG) period (2000-15) were maintained during the early period of COVID-19.
UNASSIGNED: We triangulated data from three sources - a desk review of available documents, existing quantitative data on evidence-based intervention coverage, and key informant interviews - to perform a comparative analysis using multiple case studies methodology, comparing contextual factors (barriers or facilitators), implementation strategies (existing from 2000-15, new, or adapted), and implementation outcomes across the two countries. We also analysed which health system resiliency capabilities were present in the two countries.
UNASSIGNED: Both countries experienced many of the same facilitators for resiliency of evidence-based interventions for children under five, as well as new, pandemic-specific barriers during the early COVID-19 period (March to December 2020) that required targeted implementation strategies in response. Common facilitators included leadership and governance and a culture of accountability, while common barriers included movement restrictions, workload, and staff shortages. We saw a continuity of implementation strategies that had been associated with success in care delivery during the MDG period, including data use for monitoring and decision-making, as well as building on community health worker programmes for community-based health care delivery. New or adapted strategies used in responding to new barriers included the expanded use of digital platforms. We found implementation outcomes and strong resilience capabilities, including awareness and adaptiveness, which were related to pre-existing facilitators and implementation strategies (continued and new).
UNASSIGNED: The strategies and contextual factors Rwanda and Bangladesh leveraged to build \'everyday resilience\' before COVID-19, i.e. during the MDG period, likely supported the maintained delivery of the evidence-based interventions targeting under-five mortality during the early stages of the pandemic. Expanding our understanding of pre-existing factors and strategies that contributed to resilience before and during the pandemic is important to support other countries\' efforts to incorporate \'everyday resilience\' into their health systems.

BACKGROUND: Electronic health records (EHRs) play an increasingly important role in delivering HIV care in low- and middle-income countries. The data collected are used for direct clinical care, quality improvement, program monitoring, public health interventions, and research. Despite widespread EHR use for HIV care in African countries, challenges remain, especially in collecting high-quality data.
OBJECTIVE: We aimed to assess data completeness, accuracy, and timeliness compared to paper-based records, and factors influencing data quality in a large-scale EHR deployment in Rwanda.
METHODS: We randomly selected 50 health facilities (HFs) using OpenMRS, an EHR system that supports HIV care in Rwanda, and performed a data quality evaluation. All HFs were part of a larger randomized controlled trial, with 25 HFs receiving an enhanced EHR with clinical decision support systems. Trained data collectors visited the 50 HFs to collect 28 variables from the paper charts and the EHR system using the Open Data Kit app. We measured data completeness, timeliness, and the degree of matching of the data in paper and EHR records, and calculated concordance scores. Factors potentially affecting data quality were drawn from a previous survey of users in the 50 HFs.
RESULTS: We randomly selected 3467 patient records, reviewing both paper and EHR copies (194,152 total data items). Data completeness was >85% threshold for all data elements except viral load (VL) results, second-line, and third-line drug regimens. Matching scores for data values were close to or >85% threshold, except for dates, particularly for drug pickups and VL. The mean data concordance was 10.2 (SD 1.28) for 15 (68%) variables. HF and user factors (eg, years of EHR use, technology experience, EHR availability and uptime, and intervention status) were tested for correlation with data quality measures. EHR system availability and uptime was positively correlated with concordance, whereas users\' experience with technology was negatively correlated with concordance. The alerts for missing VL results implemented at 11 intervention HFs showed clear evidence of improving timeliness and completeness of initially low matching of VL results in the EHRs and paper records (11.9%-26.7%; P<.001). Similar effects were seen on the completeness of the recording of medication pickups (18.7%-32.6%; P<.001).
CONCLUSIONS: The EHR records in the 50 HFs generally had high levels of completeness except for VL results. Matching results were close to or >85% threshold for nondate variables. Higher EHR stability and uptime, and alerts for entering VL both strongly improved data quality. Most data were considered fit for purpose, but more regular data quality assessments, training, and technical improvements in EHR forms, data reports, and alerts are recommended. The application of quality improvement techniques described in this study should benefit a wide range of HFs and data uses for clinical care, public health, and disease surveillance.

OBJECTIVE: To understand commonalities and differences in injured patient experiences of accessing and receiving quality injury care across three lower-income and middle-income countries.
METHODS: A qualitative interview study. The interviews were audiorecorded, transcribed and thematically analysed.
METHODS: Urban and rural settings in Ghana, South Africa and Rwanda.
METHODS: 59 patients with musculoskeletal injuries.
RESULTS: We found five common barriers and six common facilitators to injured patient experiences of accessing and receiving high-quality injury care. The barriers encompassed issues such as service and treatment availability, transportation challenges, apathetic care, individual financial scarcity and inadequate health insurance coverage, alongside low health literacy and information provision. Facilitators included effective information giving and informed consent practices, access to health insurance, improved health literacy, empathetic and responsive care, comprehensive multidisciplinary management and discharge planning, as well as both informal and formal transportation options including ambulance services. These barriers and facilitators were prevalent and shared across at least two countries but demonstrated intercountry and intracountry (between urbanity and rurality) variation in thematic frequency.
CONCLUSIONS: There are universal factors influencing patient experiences of accessing and receiving care, independent of the context or healthcare system. It is important to recognise and understand these barriers and facilitators to inform policy decisions and develop transferable interventions aimed at enhancing the quality of injury care in sub-Saharan African nations.

Background: Narrative Therapy is an efficacious treatment approach widely practiced for various psychological conditions. However, few studies have examined its effectiveness on resilience, a robust determinant of one\'s mental health, and there has been no randomized controlled trial in sub-Saharan Africa.Objective: This study sought to evaluate the efficacy of narrative therapy for the resilience of orphaned and abandoned children in Rwanda.Method: This study was a \'parallel randomized controlled trial\' in which participants (n = 72) were recruited from SOS Children\'s Village. Half of the participants (n = 36) were randomly allocated to the intervention group and the rest to the delayed narrative therapy group. For the intervention group, children attended ten sessions (55 min each) over 2.5 months. Data were collected using the Child and Youth Resilience Measure (CYRM) and analyzed using mixed ANOVA within SPSS version 28.Result: The results from ANOVA indicated a significant main effect of time and group for resilience total scores. Of interest, there was a significant time by group interaction effect for resilience. Pairwise comparison analyses within-group showed a significant increase in resilience in the intervention group, and the effect size was relatively large in this group.Conclusion: Our findings highlight the notable efficacy of narrative therapy for children\'s resilience in the intervention group. Therefore, health professionals and organizations working with orphaned and abandoned children will apply narrative therapy to strengthen their resilience and improve mental health.Trial registration: Pan African Clinical Trial Registry identifier: PACTR202107499406828..
The effect size of narrative therapy for resilience was relatively large in the intervention group.Narrative therapy is an efficacious approach for resilience elevation in orphaned and abandoned children.Close attention should be paid to the implementation of narrative therapy for strengthening children’s resilience as an everyday tool in foster care.

UNASSIGNED: Continuous professional development (CPD) is an important pillar in healthcare service delivery. Health professionals at all levels and disciplines must continuously update their knowledge and skills to cope with increasing professional demands in the context of a continuously changing spectrum of diseases. This study aimed to assess the CPD programs available in healthcare facilities (HFs) in Rwanda.
UNASSIGNED: Semi-structured interviews were conducted using purposive sampling. Accordingly, the respondents belonged to different categories of health professionals, namely nurses, midwives, laboratory technicians, pharmacists, general practitioners, and specialist doctors. Thirty-five participants from district, provincial, and national referral hospitals were interviewed between September and October 2020. A thematic analysis was conducted using Atlas ti.7.5.18, and the main findings for each theme were reported as a narrative summary.
UNASSIGNED: The CPD program was reported to be available, but not for all HPs and HFs, because of either limited access to online CPD programs or limited HF leaders. Where available, CPD programs have sometimes been reported to be irrelevant to health professionals and patients\' needs. Furthermore, the planning and implementation of current CPD programs seldom involves beneficiaries. Some HFs do not integrate CPD programs into their daily activities, and current CPD programs do not accommodate mentorship programs. The ideal CPD program should be designed around HPs and service needs and delivered through a user-friendly platform. The motivators for HPs to engage in CPD activities include learning new things that help them improve their healthcare services and license renewal.
UNASSIGNED: This study provides an overview of the status and perceptions of the CPD program in HFs in Rwanda and provides HPs\' insights on the improvements in designing a standardized and harmonized CPD program in Rwanda.

BACKGROUND: The global population is increasingly aging, imposing a substantial burden on social and healthcare systems as aging is associated with gradual muscle wasting and functional decline. Consumption of protein-rich foods, such as livestock-based meat, providing high-quality proteins can prevent muscle wasting and related functional decline in older adults. However, there is a lack of data on the older adults\' perceptions about meat consumption, particularly in Sub-Saharan Africa.
OBJECTIVE: To explore the perceptions about dietary meat consumption among older adults in Gasabo district, Kigali, Rwanda.
METHODS: We conducted a descriptive qualitative study, using focus group discussions. A total of eight FGDs, lasting between 55 and 80 min, were conducted with gender-mixed groups, including 31 men and 33 women aged ≥ 55 years old. Eight older adults participated in each FGD session, and all discussions were conducted in the local language (Kinyarwanda) using a pre-designed interview guide. The discussions were audio-recorded and transcribed verbatim and translated into English. The transcript was inductively analyzed using thematic analytical process.
RESULTS: Three themes were identified from the data, predominantly related to motives and barriers of meat consumption. The motives of meat consumption included improved quality and taste of the diet, improving own health, and having a social function. Barriers of meat consumption were perceived to be related to health risks, sustainability concerns (depletion of resources), and religious beliefs. Lastly, it was widely perceived that meat was unavailable and economically inaccessible, thus meat consumption was perceived to be associated with improved wealth.
CONCLUSIONS: The findings revealed a low and declining meat consumption among older adults due to poverty. Improving financial capacity or strategic public health work to improve protein consumption in the elderly is necessary to meet nutritional needs and facilitate healthy aging.

Residential biomass burning is an important source of black carbon (BC) exposure among rural communities in low- and middle-income countries. We collected 7165 personal BC samples and individual/household level information from 3103 pregnant women enrolled in the Household Air Pollution Intervention Network trial. Women in the intervention arm received free liquefied petroleum gas stoves and fuel throughout pregnancy; women in the control arm continued the use of biomass stoves. Median (IQR) postintervention BC exposures were 9.6 μg/m3 (5.2-14.0) for controls and 2.8 μg/m3 (1.6-4.8) for the intervention group. Using mixed models, we characterized predictors of BC exposure and assessed how exposure contrasts differed between arms by select predictors. Primary stove type was the strongest predictor (R2 = 0.42); the models including kerosene use, kitchen location, education, occupation, or stove use hours also provided additional explanatory power from the base model adjusted only for the study site. Our full, trial-wide, model explained 48% of the variation in BC exposures. We found evidence that the BC exposure contrast between arms differed by study site, adherence to the assigned study stove, and whether the participant cooked. Our findings highlight factors that may be addressed before and during studies to implement more impactful cookstove intervention trials.

BACKGROUND: Humeral shaft fractures, constituting 3-5% of musculoskeletal injuries, are commonly managed conservatively using functional braces. However, this approach may not be feasible in resource-limited settings. This study aimed to evaluate the functional outcomes of nonoperative treatment for humeral shaft fractures in adults utilizing a U-shaped slab.
METHODS: This prospective study was conducted from August 2021 to August 2022 involving 16-year-old and older individuals who received nonsurgical treatment for humeral shaft fractures at public tertiary hospitals in Rwanda. The assessment focused on various functional outcomes, including alignment, union rate, range of motion, return to activities of daily living, and DASH score.
RESULTS: The study included 73 participants, predominantly males (73.9%), with a median age of 33 years. The union rate was high at 89.04%, and 10.96% experienced delayed union. Radial nerve palsy occurred in 4.11% of patients, but all the patients fully recovered within three months. Despite angular deformities during healing in the majority of participants, these deformities did not significantly impact functional outcomes. According to the international classification of disabilities, 77% of participants achieved a good functional grade.
CONCLUSIONS: The conservative U-shaped slab method was effective at managing humeral shaft fractures. However, optimal results necessitate careful participant selection and comprehensive rehabilitation education. Implementing these measures can improve the overall success of nonoperative management.

BACKGROUND: Monitoring childhood immunization programs is essential for health systems. Despite the introduction of an electronic immunization registry called e-Tracker in Rwanda, challenges such as lacking population denominators persist, leading to implausible reports of coverage rates of more than 100%.
OBJECTIVE: This study aimed to assess the extent to which the immunization e-Tracker responds to stakeholders\' needs and identify key areas for improvement.
METHODS: In-depth interviews were conducted with all levels of e-Tracker users including immunization nurses, data managers, and supervisors from health facilities in 5 districts of Rwanda. We used an interview guide based on the constructs of the Human, Organization, and Technology-Fit (HOT-Fit) framework, and we analyzed and summarized our findings using the framework.
RESULTS: Immunization nurses reported using the e-Tracker as a secondary data entry tool in addition to paper-based forms, which resulted in considerable dissatisfaction among nurses. While users acknowledged the potential of a digital tool compared to paper-based systems, they also reported the need for improvement of functionalities to support their work, such as digital client appointment lists, lists of defaulters, search and register functions, automated monthly reports, and linkages to birth notifications and the national identity system.
CONCLUSIONS: Reducing dual documentation for users can improve e-Tracker use and user satisfaction. Our findings can help identify additional digital health interventions to support and strengthen the health information system for the immunization program.