The study asked whether neighbourhood socioeconomic disadvantage predicts mortality beyond clinical risk adjustment. It used a 20% sample of 2018 to 2019 Medicare claims covering 4,477,014 beneficiaries. Exposures were beneficiary-level Hierarchical Condition Category (HCC) score components and Area Deprivation Index (ADI) decile. Excess mortality was 0.5 percentage points higher in the most deprived ADI decile than the middle decile. The 95% CI was 0.4 to 0.6 percentage points. The design was cross-sectional and retrospective, and deprivation was measured at area level rather than for each person.
Why it is interesting: Medicare payment models already adjust benchmarks using area deprivation indices. This study tests whether that adjustment captures mortality risk that clinical HCC scores miss.
Cite this item
BibTeX
Free sign-up. A digest of the new papers twice a week, grouped by domain.
Other drivers in Data, models and systems
-
Forecasts and their record
How the forecasts are made, how well they explained the past, and how well mortality can be forecast — and by whom.
7 this week -
What linked data reveals
What linked registries make it possible to know about whole populations
9 this week -
AI in medicine
Whether machine learning predicts, detects and decides better than the tools we have, and whether that has yet changed an outcome for a population.
3 this week -
Health systems and access
What the health system can provide, who gets it, and whether the gaps in health between groups are widening.
6 this week -
Value in health
What a treatment, health programme or policy is worth against what it costs, and how far the models that decide it can be trusted.
6 this week -
Revisions and new sources
What the figures are built from, what is newly available, and how much the numbers move when they are revised.
7 this week
