State-level adjusted ESRD incident rates: use of observed vs model-predicted category-specific rates.

Abstract:

:Because of differences in case-mix across states, state-level case-mix-adjusted end-stage renal disease (ESRD) incident rates are reported in each United States Renal Data System Annual Data Report to make the across-state comparisons valid. The adjusted rates were estimated by the direct adjustment method, a widely used method for adjusted event rate calculation, based on observed category-specific ESRD incident rates in each state (called the observation-based method). However, when some adjusting categories in a state are small, the adjusted rate and the standard error for this state as estimated by this method may be inaccurate. This report proposes a model-based method that can overcome the disadvantages of the observation-based method and can be extended to continuous adjusting variables. National ESRD incident data and national population data from 1990 to 1999 were used. State-level adjusted ESRD incident rates were estimated by both the observation- and the model-based methods. For the model-based method, a Poisson regression model was used to estimate category-specific ESRD incident rates. For large-population states, both observation- and model-based methods produced similar estimates for adjusted ESRD incident rates. For small-population states, however, the observation-based method produced year-to-year estimates of adjusted ESRD incident rates that varied considerably and also had very large standard errors. In contrast, the model-based method produced stable estimates. The model-based method can overcome the disadvantages of the observation-based method for estimating state-level adjusted ESRD incident rates, especially for small states.

journal_name

Kidney Int

journal_title

Kidney international

authors

Liu J,Louis TA,Pan W,Ma JZ,Collins AJ

doi

10.1038/sj.ki.5000299

subject

Has Abstract

pub_date

2006-04-01 00:00:00

pages

1459-63

issue

8

eissn

0085-2538

issn

1523-1755

pii

S0085-2538(15)51676-1

journal_volume

69

pub_type

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