search. The adequacy of psychosocial support net-
works should be considered in persons with long-
standing chronic, end-stage, or terminal illnesses.
tive analysis of the Kevorkian euthanasia cases and
the emerging data from Oregon on PAS also present
an index of concern to researchers and clinicians
about the possible vulnerability of women and those
who are not married at the end of life. Continued re-
search on the role of gender and marital status in
end-of-life care is merited.
Limitations
This study has several limitations. Interpretation
of our results is limited by biases in the data sources
that were collected for other purposes (i.e., law en-
forcement investigations in Oakland County, Michi-
gan, and compliance with statutory regulations in
Oregon). Autopsy data are an excellent source for
detailed anatomical and toxicology information for
the Kevorkian euthanasia cases, but they do not al-
low for an evaluation of other relevant factors, such
as an evaluation of mental illness. Variables such as
psychiatric status, family structure, and other psy-
chosocial factors outside the autopsy examination
had to be constructed from medical examiner records.
As mentioned previously, autopsies are not required
of individuals who die from legalized PAS in Oregon;
published summary data based on mandatory physi-
cian reporting provided the data on these cases.
These infrequent and often concealed deaths due
to PAS and euthanasia yield a small sample of cases
that limits our ability to generalize. Both the Kevor-
kian euthanasia cases and the Oregon PAS cases may
not be representative of the majority of individuals
who may want assistance in ending their lives. Fur-
ther, the mortality comparisons used to estimate
population parameters must be interpreted carefully.
Although it would be more precise to select mortality
statistics that matched the underlying diseases of the
Kevorkian cases, the small samples that would result
precluded this approach. However, the broader mor-
tality comparisons did suggest some overall trends
and demographic patterns that suggest risk factors in
the population.
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