24/07/2026
The quality of su***de mortality data is only as good as the people responsible for capturing it, and that responsibility spans medical certifiers, cause-of-death coders, and the systems that oversee them.
Misclassification and error are not inevitable. They are the predictable result of undertrained staff and insufficient oversight.
Routine training, beginning in medical education and sustained through ongoing in-service programmes, is the practical foundation for data that can actually be trusted.
Data that can be trusted is what prevention policy depends on.