Rs. Pritchard et al., INFLUENCE OF PATIENT PREFERENCES AND LOCAL HEALTH SYSTEM CHARACTERISTICS ON THE PLACE OF DEATH, Journal of the American Geriatrics Society, 46(10), 1998, pp. 1242-1250
OBJECTIVE: To examine the degree to which variation in place of death
is explained by differences in the characteristics of patients, includ
ing preferences for dying at home, and by differences in the character
istics of local health systems. DESIGN: We drew on a clinically rich d
atabase to carry out a prospective study using data from the observati
onal phase of the Study to Understand Prognoses and Preferences for Ou
tcomes and Risks of Treatments (SUPPORT component). We used administra
tive databases for the Medicare program to carry out a national cross-
sectional analysis of Medicare enrollees place of death (Medicare comp
onent). SETTING: Five teaching hospitals (SUPPORT); All U.S. Hospital
Referral Regions (Medicare). STUDY POPULATIONS: Patients dying after t
he enrollment hospitalization in the observational phase of SUPPORT fo
r whom place of death and preferences were known. Medicare beneficiari
es who died in 1992 or 1993. MAIN OUTCOME MEASURES: Place of death (ho
spital vs non-hospital). RESULTS: In SUPPORT, most patients expressed
a preference for dying at home, yet most died in the hospital. The per
cent of SUPPORT patients dying in-hospital varied by greater than 2-fo
ld across the five SUPPORT sites (29 to 66%). For Medicare beneficiari
es, the percent dying in hospital varied from 23 to 54% across U.S. Ho
spital Referral Regions (HRRs). In SUPPORT, variations in place of dea
th across site were not explained by sociodemographic or clinical char
acteristics or patient preferences. Patient level (SUPPORT) and nation
al cross-sectional (Medicare) multivariate models gave consistent resu
lts. The risk of in-hospital death was increased for residents of regi
ons with greater hospital bed availability and use; the risk of in-hos
pital death was decreased in regions with greater nursing home and hos
pice availability and use. Measures of hospital bed availability and u
se were the most powerful predictors of place of death across HRRs. CO
NCLUSIONS: Whether people die in the hospital or not is powerfully inf
luenced by characteristics of the local health system but not by patie
nt preferences or other patient characteristics. These findings may ex
plain the failure of the SUPPORT intervention to alter care patterns f
or seriously ill and dying patients. Reforming the care of dying patie
nts may require modification of local resource availability and provid
er routines.