Background:
Soil-transmitted helminths (STHs) remain a major public health problem in many low- and middle-income countries, especially among children. The conventional methods for diagnosing STHs require well-equipped laboratories and trained personnel, often scarce or inaccessible in rural and remote settings. Algorithmic non-biomedical screening tools are a potential strategy for CHWs to ensure rapid detection and referral of children with possible STH infection. We aimed to evaluate the feasibility of a community health worker-led screening program in rural Rwanda. We also sought to describe the Knot, a model leveraging community health workers (CHWs) as school-based health agents (SBHAs) to facilitate the screening, referral, and follow-up of children with presumptive STH, as well as the engagement of teachers and community members in preventive interventions.
Methods:
We conducted a cross-sectional study among 746 school-aged children in Musanze district, Rwanda, between August 2021 and November 2022. We used Beta CommScreen, an algorithmic non-biomedical screening tool that collects socio-demographic, anthropometric, and symptomatic data, as well as water, sanitation, and hygiene (WASH) indicators, to assess the risk of STH infection. The SBHAs engaged teachers and community members in developing a bundle of interventions, such as deworming campaigns, WASH education, and targeted home visits. We used multivariate logistic regression analysis to identify factors associated with presumptive STH infection. We analyzed the data using Stata version 15.1.
Results:
Of 746 children screened by the SBHA, 322 (43%) reported signs of STH infections, and 220 (29%) were referred to the clinic for treatment, the rest of children (102, 14%) were provided with deworming medication at school. Having a CHW for routine monitoring and not walking barefoot were associated with lower risk of STH symptoms (OR = 0.36, 95% CI: 0.21,0.64) and (OR = 0.49, 95% CI:0.08,3.11), respectively. Not washing hands before eating and after using the toilet were not significantly associated with possible STH infections (OR = 7.40, 95%CI:0.79,68.94) and (OR = 3.82, 95%CI:0.37,39.37). Other factors, including the place of residence and age, were also not associated with STH symptoms.
Conclusions:
We found the CHWs were able to use a simple algorithmic screening tool to identify a high burden of symptoms of possible STH. This CHW-based approach to carry out school-based screening of STH infections builds on the strong CHW system in Rwanda, although strengthening referrals to ensure all symptomatic children receive treatment is needed. Strengthening the connection between schools and community-based health services can further expand disease prevention and treatment, furthering Rwanda’s success in improving health and wellbeing.