REFERRAL SELECTION BIAS IN THE MEDICARE HOSPITAL MORTALITY PREDICTIONMODEL - ARE CENTERS OF REFERRAL FOR MEDICARE BENEFICIARIES NECESSARILY CENTERS OF EXCELLENCE
Dj. Ballard et al., REFERRAL SELECTION BIAS IN THE MEDICARE HOSPITAL MORTALITY PREDICTIONMODEL - ARE CENTERS OF REFERRAL FOR MEDICARE BENEFICIARIES NECESSARILY CENTERS OF EXCELLENCE, Health services research, 28(6), 1994, pp. 771-784
Objective. Although the Health Care Financing Administration (HCFA) us
es Medicare hospital mortality data as a measure of hospital quality o
f care, concerns have been raised regarding the validity of this conce
pt. A problem that has not been fully evaluated in these data is the p
otential confounding effect of illness severity factors associated wit
h referral selection and hospital mortality on comparisons of risk-adj
usted hospital mortality. We address this issue.Data Sources and Study
Setting. We analyzed the 1988 Medicare hospitalization data file (MED
PAR). We selected data on patients treated at the two Mayo Clinic-asso
ciated hospitals in Rochester, Minnesota, and a group of seven other h
ospitals that treat many patients from large geographic areas. These h
ospitals have had observed mortality rates substantially lower than th
ose predicted by the HCFA model for the period 1987-1990. Study Design
. Using the multiple logistic regression model applied by HCFA to the
1988 data, we evaluated the relationship between distance from patient
residence to the admitting hospital and risk-adjusted hospital mortal
ity. Principal Findings. Among patients admitted to Mayo Rochester-aff
iliated hospitals, residence outside Olmsted County, Minnesota was ind
ependently associated with a 33 percent lower 30-day mortality rate (p
< .001) than that associated with residence in Olmsted County. When p
atients at Mayo hospitals were stratified by residence (Olmsted County
versus non-Olmsted County), the observed mortality was similar to tha
t predicted for community patients (9.6 percent versus 10.2 percent, p
= .26), whereas hospital mortality for referral patients was substant
ially lower than predicted (5.0 percent versus 7.5 percent, p = < .001
). After incorporation of the HCFA risk adjustment methods, distance f
rom patient residence to the hospitals was also independently associat
ed with mortality among the Mayo Rochester-affiliated hospitals and se
ven other referral center hospitals. Conclusions. The HCFA Medicare ho
spital mortality model should be used with extreme caution to evaluate
hospital quality of care for national referral centers because of res
idual confounding due to severity of illness factors associated with g
eographic referral that are inadequately captured in the extant predic
tion model.