Socioeconomic influence on small area hospital utilization.
Health care policy makers, concerned with the rising cost of health care, have focused on the observed variation in the use of hospitals as a potential area in which to lower health care costs, i.e., if hospital utilization can be decreased, health care costs may also decline. However, it is crucial that the reasons for the observed variation in the current practice be understood or attempts to reduce costs may lead to policies that harm groups of patients and the providers and institutions currently delivering care. Using hospital discharge data from 59 hospital market communities in the lower peninsula of Michigan in 1984-86, the authors examined possible associations between socioeconomic characteristics and the observed small area variation in hospital discharge rates. First, a series of Poisson regressions was used for each of five covariates and 112 modified diagnosis-related groups (DRGs). Then, multiple regressions were examined, utilizing the five socioeconomic characteristics, after excluding statistically influential communities. The results indicate that community characteristics, including education, poverty, and unemployment, have a statistically significant association with the observed small area hospital discharge rate for many DRGs. Moreover, the direction of the effect is consistent across multiple disease categories. In multiple regressions, the five selected socioeconomic variables explained 48% of the variance for medical admissions and 19% for surgical admissions. For most DRGs, high educational levels were associated with lower hospitalization rates. The authors also identified statistically influential communities whose hospital utilization profile was different from that of most communities in Michigan.
Department of Internal Medicine, School of Medicine, University of Michigan, Ann Arbor.
L F
LF
McMahon
R A
RA
Wolfe
J R
JR
Griffith
D
D
Cuthbertson
D003953:Diagnosis-Related Groups; D017048:Health Care Costs; D006761:Hospitals / Q000706:statistics & numerical data*; D006801:Humans; D008824:Michigan; D010351:Patient Discharge / Q000706:statistics & numerical data*; D012044:Regression Analysis; D017062:Small-Area Analysis; D012959:Socioeconomic Factors; D014600:Utilization Review