---}Monotoring In Real Time The Implementation Of HIV Mother-To-Child Prevention Programme.

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PARTNERS: Ministry of Health Cameroon in collaboration with UNAIDS

The number of people living with HIV in Cameroon is estimated at some 800,000. In 2016, Cameroon had 32 000 (22 000 - 41 000) new HIV infections and 29 000 (25 000 - 33 000) AIDS-related deaths. There were 560 000 (470 000 - 650 000) people living with HIV in 2016, among whom 37% (31% - 43%) were accessing antiretroviral therapy. Among pregnant women living with HIV, 74% (56% - 90%) were accessing treatment or prophylaxis to prevent transmission of HIV to their children. An estimated 4000 (1600 - 6500) children were newly infected with HIV due to mother-to-child transmission. Among people living with HIV, approximately 19% (16% - 22%) had suppressed viral loads. EOPDC

The key populations most affected by HIV in Cameroon are:
- Sex workers, with an HIV prevalence of 24.3%.
- Gay men and other men who have sex with men, with an HIV prevalence of 37.2%.
- Prisoners, with an HIV prevalence of 3.96%.

Since 2010, new HIV infections have increased by 5% and AIDS-related deaths have decreased by 13% Every year, babies are born to HIV-infected mothers and risk starting their lives crippled by the disease. In 2012, the government of Cameroon launched Option B +, a new prevention of mother-to-child HIV transmission programme in collaboration with WHO. The antiretroviral treatment is available for pregnant and breastfeeding women living with HIV.  

As part of the National Prevention of Mother-to-Child Transmission (PMTCT) programme, Pulse Lab Kampala developed an application that generates analysis and visualizations of real-time data tracking the implementation of Option B+.

A user-friendly dashboard was created to monitor the real-time performance of health centres in districts where the programme is being launched or ongoing. This interactive platform tracks in real time the indicators received from health centres across the country. The information is analyzed using several variables such as: number of patients going for regular antenatal care visits, number of HIV/AIDS cases, and number of patients receiving the option B+ treatment.

The dashboard also highlights relevant correlations between drop out rates in treatment and different relevant factors. For example, the application analyses the relation between stock-outs of medical supplies and drop out rates.
The purpose of the application is to enable the flow of timely information to address bottlenecks on the rollout of the Option B+ treatment in Cameroonian districts.