Cervical Precancer Treatment Planning Tool
Though cervical cancer is a largely preventable disease, worldwide it is one of the leading causes of cancer death in women. Each year, it kills about 260,000 women, primarily in low- and middle-income countries (LMIC). Fortunately, cervical precancer screening and treatment is a proven technique for reducing cervical cancer incidence, morbidity, and mortality. However, screen-positive women must receive timely and effective precancer treatment and there remain large inequities to accessing these services.
As the global health community increasingly recognizes the burden of cervical cancer, several high-burden countries are establishing cervical precancer screening and treatment programs. Additionally, decision-makers in these programs are now looking to understand what equipment must be procured and how to effectively deploy it.
To assist in these efforts, PATH’s Market Dynamics program has developed a scenario-based Excel model and a data visualization mapping tool to help country stakeholders understand how best to scale up their cervical precancer treatment programs. The modeling tool estimates the number of women treated, the number of units of equipment needed (for both gas-based cryotherapy and non-gas devices), and associated start-up costs across five different scenarios, allowing decision-makers to make better use of scarce resources. It can be populated with data from any LMIC and may inform national screening and treatment strategies. A Tableau data visualization mapping tool uses Uganda as an example to help users explore the effects at the district level of employing these five different strategies for deployment of ablative cervical precancer treatment equipment. Together, these tools can help countries weigh the trade offs involved in balancing patient access to treatment with financial and human resources costs and utilization of equipment and skilled personnel.
A fact sheet that provides an overview of the Cervical Precancer Treatment Planning Tool, including the background, a scenario overview, and how the tool can support evidence-based planning.
An Excel model that estimates the number of women treated, the number of units of treatment equipment needed by type, and the associated start-up costs and cost of gas across five different scenarios. Click the above link to download the Excel file. SEE DISCLAIMER IN TOOL BEFORE USE.