Rob van Hest Capture-recapture Methods in Surveillance - RePub ...
Rob van Hest Capture-recapture Methods in Surveillance - RePub ...
Rob van Hest Capture-recapture Methods in Surveillance - RePub ...
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General discussion<br />
Homogeneous population assumption<br />
Possible heterogeneity of the patient population, i.e. the presence of categorical covariates<br />
associated with the probability of capture <strong>in</strong> a register, caus<strong>in</strong>g bias <strong>in</strong> the capture<strong>recapture</strong><br />
estimate, cannot be excluded <strong>in</strong> the three <strong>in</strong>fectious diseases studies and was<br />
exam<strong>in</strong>ed <strong>in</strong> three different ways. For the malaria study we performed a stratified capture<strong>recapture</strong><br />
analysis by Plasmodium species which showed limited variety <strong>in</strong> capture-<strong>recapture</strong><br />
probabilities. However, we cannot exclude the possible presence of other (but<br />
unmeasured) sources of heterogeneity,<br />
For the tuberculosis data, after conventional log-l<strong>in</strong>ear capture-<strong>recapture</strong><br />
analysis, we applied alternative truncated population estimation models, arguably more<br />
robust <strong>in</strong> the presence of heterogeneity, and these models gave identical results.<br />
Because regional differences <strong>in</strong> the <strong>in</strong>cidence rate of Legionnaires’ disease were<br />
described <strong>in</strong> the Netherlands and abroad, 6,14 and observed <strong>in</strong> our data after recordl<strong>in</strong>kage,<br />
alternative to conventional log-l<strong>in</strong>ear capture-<strong>recapture</strong> analysis a log-l<strong>in</strong>ear<br />
covariate capture-<strong>recapture</strong> model was specified, with region as covariate, to reduce bias<br />
due to geographical heterogeneity. The better goodness-of-fit and narrow confidence<br />
<strong>in</strong>terval suggest a more valid estimate with less statistical uncerta<strong>in</strong>ty compared to the<br />
outcome of the conventional saturated model. Unfortunately, the data-quality of the<br />
hospital episode register prevented mean<strong>in</strong>gful <strong>in</strong>clusion of other covariates <strong>in</strong> the model,<br />
possibly caus<strong>in</strong>g bias, such as the method of laboratory diagnosis, described as a rele<strong>van</strong>t<br />
covariate elsewhere. 6 At the time of the malaria and tuberculosis studies we were not<br />
familiar with covariate capture-<strong>recapture</strong> techniques and did not explore this<br />
methodology to <strong>in</strong>vestigate the impact of possible heterogeneity.<br />
Question 2<br />
How do the characteristics of tuberculosis surveillance systems <strong>in</strong> different<br />
countries <strong>in</strong>fluence the feasibility and validity of capture-<strong>recapture</strong> analysis?<br />
Different characteristics of tuberculosis surveillance systems can <strong>in</strong>fluence the feasibility<br />
and validity of capture-<strong>recapture</strong> analysis. In this thesis we describe three three-source<br />
log-l<strong>in</strong>ear capture-<strong>recapture</strong> studies on tuberculosis <strong>in</strong>cidence and completeness of<br />
notification <strong>in</strong> three different European countries, the Netherlands, the Piedmont region<br />
of Italy and England, at a different scale, both adm<strong>in</strong>istrative and regard<strong>in</strong>g the number of<br />
patients <strong>in</strong>volved, and with different tuberculosis surveillance systems. The feasibility and<br />
validity of these studies will be discussed by country, after a short <strong>in</strong>troduction to<br />
tuberculosis surveillance <strong>in</strong> each country, followed by a comparison of the results of the<br />
three tuberculosis capture-<strong>recapture</strong> studies.<br />
The Netherlands<br />
In the Netherlands the annual national tuberculosis <strong>in</strong>cidence has been decreas<strong>in</strong>g dur<strong>in</strong>g<br />
the last decade. This can be partially expla<strong>in</strong>ed by the nation-wide system of Public Health<br />
Tuberculosis Cl<strong>in</strong>ics, with public health tuberculosis physicians and nurses, perform<strong>in</strong>g<br />
diagnostic, curative, preventive and screen<strong>in</strong>g activities, parallel to and <strong>in</strong> good co-<br />
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