Cp. Escalante et al., MEDICAL FUTILITY AND APPROPRIATE MEDICAL-CARE IN PATIENTS WHOSE DEATHIS THOUGHT TO BE IMMINENT, Supportive care in cancer, 5(4), 1997, pp. 274-280
Often it is very difficult to make decisions involving the termination
of aggressive cancer care in the case of patients who are no longer b
enefiting, Among these patients, our ability to ''do everything possib
le'' to continue life is in conflict with ''doing the right thing''; t
he greatest benefit to these patients derives from delivering excellen
t supportive care and assisting them in understanding and accepting en
d-of-life issues. Furthermore, in a cost-conscious environment with li
mited resources, all patients and. indeed, all of society, benefit whe
n aggressive and often costly cancer care is limited to those patients
who are likely to benefit, However. these issues are complex, blendin
g treatment science and ethics, and thus, the physician frequently has
no objective reference point on which to base the decisions. This pap
er integrates the principles of ethics (respect for autonomy, benefice
nce, nonmaleficence, and justice) and three difficult issues encounter
ed by physicians in clinical decisionmaking in terminal cancer patient
s in the American healthcare system, These issues include: medical fut
ility and appropriate care, applications of outcomes research in clini
cal decision-making, and impact of cost, particularly in a managed car
e environment, on treatment choice, These topics are illustrated with
reference to patients presenting to our emergency center with stage IV
lung cancer and dyspnea, and the application of an outcomes model und
er development to predict imminent death in these patients is discusse
d, Outcomes models may provide patients. their families, and their phy
sicians with objective data on which to base end-of-life decision-maki
ng, Minimizing aggressive treatment of terminally ill patients may pro
vide better life quality and will reduce costs during the patients' en
d of life, Ethics plays a crucial role in integrating medical science,
patient choice, and cost in making appropriate decisions.