O. Paltiel et al., THE CONTRIBUTION OF MULTIPLE DATA SOURCES TO A CLINICAL AUDIT OF LYMPHOMA IN A TEACHING HOSPITAL, International journal for quality in health care, 10(4), 1998, pp. 303-309
Objective. To assess the independent contribution of data sources used
for case ascertainment in a clinical audit of the outcome of lymphoma
patients in our institution. Design. In the absence of a unified regi
ster of lymphoma patients diagnosed and/or treated in our institution,
we used an elective approach to case ascertainment. Sources included
two internal databases (computerized discharge data for hospitalizatio
ns and outpatient oncology database) and one external (Israel Cancer R
egistry) database. Histologic diagnosis was confirmed by search of on-
line pathology files or discharge summaries. Demographic, histologic a
nd survival characteristics were compared among patients identified th
rough each data source. Survival was assessed via record linkage with
the Population Registry.Setting. A tertiary care university teaching h
ospital. Study participants. Seven hundred and twelve patients with ly
mphoma diagnosed between 1987 and 1992. Results. All three sources con
tributed independently to the total, with the majority (583 or 82%) vi
a hospitalizations. Overlap among the sources was minimal with only 73
(10.3%) of the patients being common to all three sources. Difference
s (P < 0.05)in the age distribution, country of birth and population g
roups (defined by religion) as well as histologic diagnoses among the
sources were noted. In addition, survival of those ascertained via the
outpatient database was higher than those ascertained from other sour
ces (p = 0.02 for Hodgkin's disease) even after controlling for age. C
onclusions. The use of multiple data sources for case ascertainment in
clinical audit is justified when no patient register exists. The resu
lts indicate that use of a single internal data source would have resu
lted both in an underestimate of the scope of lymphoma in our institut
ion and significant bias in terms of patient characteristics and outco
me.