Cross city project

Strengthening C/Can data for decision making

Creating evidence-based policies to improve access to cancer care in C/Can cities

Project lead

Areas of action

Health information systems

Implementation

Cycle I

The challenge

The collation of high-quality, systems-level cancer care data that is complete, accurate and readily available is essential for identifying and prioritising cancer care gaps, developing context-appropriate solutions and policies, forecasting resource allocation and measuring progress and impact. However, according to the International Agency for Research on Cancer (IARC), only one in five low- and middle-income countries (LMICs) has the necessary data to drive cancer policy. This shortage leads to uninformed decision-making both at local level and on international advocacy platforms.

The goal

To leverage C/Can’s unique cancer care datasets to generate insights that support the planning and implementation of quality, equitable cancer care in LMIC cities.

How

By improving the quality of systems-level data for cancer diagnosis, treatment and care, collected through the C/Can city engagement process. Data infrastructure and governance processes must be improved to facilitate the storage, management, analysis and sharing of C/Can data, while specific use cases must be identified to leverage C/Can data to generate actionable insights for stakeholders.

For organisations on a mission, like C/Can, data is absolutely critical. The technology and the techniques to create collect, process, and analyse the data are continually advancing. We see data as one of the unique assets of C/Can that enables us to help deliver the mission in supporting C/Can cities and beyond.

Gam Dias

Data Strategist at 3 Points Digital