Study objective-To investigate the utility of capture-recapture methods to
estimate prevalence of subjects with alcohol related disorders using multip
le incomplete lists.
Design-This was a cross sectional study of alcohol related disorders in a l
arge community.
Setting-During 1997 identified cases with known alcohol related disorders w
ere independently flagged by four sources (self help volunteering groups; p
sychiatric ambulatory; public alcohology service; hospital discharges).
Patients-381 records were flagged, corresponding to 349 individual cases fr
om a target population resident in a northern Italy area.
Main results-The two sample capture-recapture estimates were clearly biased
because of dependencies among sources. Estimates based on log-linear model
s showed prevalent counts ranged from 2297 (95% confidence intervals: 1524,
3794) to 2523 (95% confidence intervals: 1623, 4627) after adjustment for
dependence among sources only or also for heterogeneity in catchability amo
ng age categories (< 50 and greater than or equal to 50 years), respectivel
y.
Conclusions-The study suggests that capture-recapture is em appropriate app
roach for estimating prevalence of subjects with alcohol related problems w
ho seek or need treatment and assistance when different lists of alcoholics
can be obtained from different types of agencies involved with problematic
use of alcohol. Critical factors are the complexity in case definition and
the analysis of heterogeneity among people. Accurate estimates are needed
to plan and evaluate public health interventions.