Data that’s not fit-for-purpose can be scary, but here’s the good news – Nordic data has many characteristics that allow it to be considered high-quality for a wide range of purposes. These include:
✔️ Complete population coverage for administrative (claims-type) data
✔️ Long patient follow-up of 20+ years
✔️ Wide set of variables that holistically characterise patients including SDOH
✔️ Deterministic, patient-level linkage between all datasets
✔️ Complete mortality data including date and cause of death
✔️ Linkage to clinical registries including disease severity and PROs including quality of life
✔️ Labs and genetic data from biobanks and EHRs
…Spook-tacular!
Did you know that Quantify has conducted over 200 RWE projects including 15 pan- Nordic studies? Get in touch with our scarily experienced, expert team to find out more about the data or explore use cases.
🎃 Happy Halloween! 🎃
