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Administrative Data and Hospice Care
Author Bios
Introduction
Health Insurance Data
Basis for Payment Data
Hospice Claims Data
The Medicare Model
Claims Data Uses
Hospice & Palliative Care
Statistical Challenges
Currently selected section: Correct Denominators
Starting the Clock
Costs of EOL Care
Conclusions


Chapter 18: Using Adminstrative Data to Study Hospice Care: Identifying the Correct Denominators
         

The denominator for end-of-life care analyses is always difficult because it should at least be limited to persons who die in a given time period. Ideally, the denominator includes only persons whose death could be anticipated. That is, persons who die in an accident or of sudden coronary death do not have an opportunity for hospice care. This is difficult for the reasons noted above (primarily lack of information on cause of death). Often researchers are forced to limit their denominators to people with X disease who die and assume that all people with X disease who die actually die of X disease. In other cases, it may be sufficient to include all deaths as the denominator and assume that the proportion of deaths that could be anticipated is constant across population groups (e.g. males and females). Clearly, the ideal choice would involve merging cause of death information with claims to identify the most precise denominator. In the absence of the ideal--explicit choices and their rationale--strengths and weaknesses should be part of the documentation of methods.


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