Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Predicting life span for applicants to inpatient hospice.

Authors: L E, Forster; J, Lynn;

Predicting life span for applicants to inpatient hospice.

Abstract

The advent of hospice programs and their funding under Medicare has recently made eligibility for substantial insured services turn on whether a patient has less than three or six months to live. The implicit assumption is that physicians can provide this prediction accurately. To test this assumption and to improve predictions, the life spans of 108 consecutive applications for inpatient hospice care were estimated independently by two oncologists, an internist, an oncology nurse, and a hospice social worker, based on data in a ten-page multidisciplinary application packet. The applicants were followed up until death. Actual life span was correlated with predictions. The median (+/- SD) life span was 3.5 +/- 12.4 weeks. The predictions as a group were overly optimistic about survival by an average of 3.4 weeks. The best prognosticator's prediction was only moderately correlated with actual life span, and no two prognosticator's predictions correlated closely with one another. Predicting actual interval until death was more accurate than predicting a 90% confidence interval around the time of death, though the latter procedure was better at avoiding the error of unpredicted long-term survivors. This imprecision in "expert" estimation of life span poses substantial problems for hospice programs and policymakers.

Keywords

Male, Patient Selection, Hospices, Federal Government, Prognosis, Life Expectancy, Patient Admission, Neoplasms, Methods, Humans, Female, Aged

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    136
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 0.1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
136
Top 10%
Top 0.1%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!