Associations among hospital capacity, utilization, and mortality of US Medicare beneficiaries, controlling for sociodemographic factors.
OBJECTIVE
To explore whether geographic variations in Medicare hospital utilization rates are due to differences in local hospital capacity, after controlling for socioeconomic status and disease burden, and to determine whether greater hospital capacity is associated with lower Medicare mortality rates.


METHODS
The study population: a 20 percent sample of 1989 Medicare enrollees. Measures of resources were based on a national small area analysis of 313 Hospital Referral Regions (HRR). Demographic and socioeconomic data were obtained from the 1990 U.S. Census. Measures of local disease burden were developed using Medicare claims files.


METHODS
The study was a cross-sectional analysis of the relationship between per capita measures of hospital resources in each region and hospital utilization and mortality rates among Medicare enrollees. Regression techniques were used to control for differences in sociodemographic characteristics and disease burden across areas.


METHODS
Data on the study population were obtained from Medicare enrollment (Denominator File) and hospital claims files (MedPAR) and U.S. Census files.


RESULTS
The per capita supply of hospital beds varied by more than twofold across U.S. regions. Residents of areas with more beds were up to 30 percent more likely to be hospitalized, controlling for ecologic measures of socioeconomic characteristics and disease burden. A greater proportion of the population was hospitalized at least once during the year in areas with more beds; death was also more likely to take place in an inpatient setting. All effects were consistent across racial and income groups. Residence in areas with greater levels of hospital resources was not associated with a decreased risk of death.


CONCLUSIONS
Residence in areas of greater hospital capacity is associated with substantially increased use of the hospital, even after controlling for socioeconomic characteristics and illness burden. This increased use provides no detectable mortality benefit.
Fisher
E S
ES
Center for the Evaluative Clinical Sciences, Dartmouth Medical School, Hanover NH 03755, USA.
Wennberg
J E
JE
Stukel
T A
TA
Skinner
J S
JS
Sharp
S M
SM
Freeman
J L
JL
Gittelsohn
A M
AM
D000368:Aged; D000369:Aged, 80 and over; D002391:Catchment Area, Health; D017281:Cost of Illness; D003430:Cross-Sectional Studies; D006302:Health Services Research; D006742:Hospital Bed Capacity / Q000706:statistics & numerical data*; D006761:Hospitals / Q000706:statistics & numerical data*; D006801:Humans; D006278:Medicare / Q000706:statistics & numerical data*; D009017:Morbidity; D009026:Mortality; D044469:Racial Groups; D012044:Regression Analysis; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology