SMS AFYA-YETU

In Goma, in 2020, MSF's monitoring of 3,000 patients with HIV is made increasingly complex by the Covid-19 pandemic, as they are a population that is potentially at risk from this virus.

The MSF Foundation, in collaboration with Medic, the MSF teams and some volunteer engineers from Google.org decided to adapt CHT, the platform for reporting events developed by Medic, to improve the monitoring of this vulnerable population. The objectives were to identify cases of Covid-19 within the cohort more quickly and to be able to identify problems related to their HIV infection quickly, during a period when access to direct care was limited due to pandemic associated constraints.

Two types of populations make up the cohort monitored by MSF teams in Goma:

• A so-called “stable” group, that already following their treatment fairly well.
• A so-called "unstable" and more vulnerable group (sex workers, street children, people living in poverty, etc.) whose extremely precarious situation makes monitoring very complex. They are often also affected by a secondary medical instability: TB co-infection, failure of first-line treatment, etc.

After an initial deployment, the teams are now reorienting the platform to cater more closely to the needs reported by patients and caregivers, in particular to assist the “unstable” population more effectively.

The platform responds to several issues:

• It improves prevention through an early detection and identification of disease deterioration symptoms.
• In the event of a pandemic but also in precarious situations, the cohort monitored for chronic illnesses may encounter difficulties travelling, the platform reduces unnecessary travel for monitored patients. 
• It allows for direct interaction with the at-risk population by breaking down intermediations and barriers.
• Automating the questionnaire and the alert system allows for a rationalization of necessary resources for follow-up. In the long term, the same number of caregivers will be able to monitor a larger patient cohort.

After having been successfully tested on a cohort of 30 patients, now, the platform must be deployed on a larger scale. Based on our experience in Goma, the objective is to be able to apply this system to other chronic diseases too.