Which is better method for non-specialist researchers to use to create local population health estimates from real-world data?

Recent Pop Center Research Fellow Laura Yasaitis, PhD, Visiting Scientist Mariana Arcaya, ScD, and Faculty Member SV Subramanian (Subu), PhD, have authored a paper published in the international journal Health & Place that offers a rare side-by-side comparison of methods to create local population health estimates (in this case, acute myocardial infarction rates) from administrative data (Medicare claims data in California).

Can we learn about mortality risk by comparing data from self-reports vs. claims on heart attacks?

Three Harvard Pop Center researchers, including research fellow Laura C. Yasaitis, PhD, Pop Center Director Lisa Berkman, PhD, and faculty member Amitabh Chandra, PhD, have published a study in Circulation, the journal of the American Heart Association, that compares self-reported data to administrative data (Medicare claims) on acute myocardial infarction events.