Improving coverage of cervical cancer screening
We study and address the barriers and facilitators of providing state-of-the-art community-based screening, treatment, and follow-up programme for cervical cancer in selected settings in Bangladesh, India, Uganda, and Slovak Republic. We measure coverage and uptake in relation to availability, accessibility, acceptability, quality and cost-effectiveness, and options for scaling up. The implementation research will focus on best ways to increase participation and compliance in cervical cancer screening (on the beneficiaries’ side) and improve implementation fidelity (on the providers’ side).
We will use an artificial intelligence decision support systems (AI-DSS) in gynaecological examination. The use of artificial intelligence built into mobile devices offers high quality diagnosis in resource-poor settings. Inter-observer variation in Visual Inspection of the cervix with Acetic acid (VIA) will be reduced, especially when health workers with lower levels of training are involved in the screening process.