Volume 51 | Number 4 | August 2016

Abstract List

Carl Walraven


Background

Survival trend analyses examine mortality outcomes over time. The impact of conducting survival trend analyses without accounting for improved population survival has not been systematically studied.


Methods

The 1‐year risk of death in the 100 most common hospital admissions for Ontario adults in 1994, 1999, 2004, and 2009 was determined. Generalized linear models were used to determine if adjusted death risk changed significantly over time with and without accounting for population survival.


Results

The statistical significance of temporal trends in survival changed after accounting for population life expectancy in 16 diagnoses (16 percent) (in 13 of 55 diagnoses, statistically significant mortality trends became insignificant; in 3 of 15 diagnoses, insignificant trends changed to a significant in mortality risk over time).


Conclusions

These results highlight the importance of accounting for population life‐expectancy changes in survival trend analyses.