title: Advance directives in critically ill cancer patients.
abstract: Although advance directives have been used since the 1970s, the discussion of these documents has become more common since the enactment of the Patient Self-Determination Act in 1991. This study evaluated the frequency of advance directives in critically ill patients at a tertiary cancer center and found that cancer patients had a relatively low completion rate of advance directives (27%). The finding that advance directives were more common among Caucasians than other ethnic groups signifies the importance of considering cultural differences when addressing end-of-life issues with patients. The documents also were found more often in older patients with serious diseases. The relationship between hospital mortality and advance directives is complex. The most seriously ill patients and patients with leukemia had the highest mortality and the highest rate of advance directives. Further research on the interactions among mortality, advance directives, and severity of illness is needed. This research contributes to the body of knowledge available on advance directives and particularly sheds light on advance directives in critical ill cancer patients.
authors.affiliation: Department of Critical Care, University of Texas M. D. Anderson Cancer Center, Houston, Texas, USA. skish@mdanderson.org
authors.forename: S K
authors.initials: SK
authors.lastname: Kish
authors.forename: C G
authors.initials: CG
authors.lastname: Martin
authors.forename: K J
authors.initials: KJ
authors.lastname: Price
mesh_terms: D000328:Adult; D016223:Advance Directives / Q000331:legislation & jurisprudence / Q000706:statistics & numerical data*; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002173:Cancer Care Facilities; D003422:Critical Care / Q000379:methods / Q000706:statistics & numerical data*; D016638:Critical Illness; D005260:Female; D017052:Hospital Mortality; D006785:Hospitals, University; D006801:Humans; D007362:Intensive Care Units / Q000706:statistics & numerical data*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000401:mortality / Q000628:therapy; D011446:Prospective Studies; D013781:Texas / Q000453:epidemiology