Screening for Chlamydia trachomatis: whom and how?

Chlamydia trachomatis (Ct) infections are sexually transmitted, often asymptomatic, and may lead to reduced fertility in women. Available sensitive detection methods on urine and effective single-dose treatment have made home-based screening for Ct infections feasible. In Swedish surveillance data we interpretated increasing chlamydia trends while using more sensitive tests. In a home based screening study in the Netherlands, 15-29 year old men and women were invited by Municipal Health Services. Response was 41%, and Ct prevalence was 0.6% in rural areas and 3.2% in very highly urbanised area... Mehr ...

Verfasser: Götz, H.M. (Hannelore)
Dokumenttyp: doctoralThesis
Erscheinungsdatum: 2006
Schlagwörter: Netherlands / adolescents / area under curve / epidemiology chlamydia trachomatis infections / female / high risk groups / home care services / male / mass Screening/methods / utilization / patient acceptance of health care / statistics and numerical data / polymerase chain reaction / methods / prevalence / regression analysis / selective screening
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27217887
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://repub.eur.nl/pub/7245

Chlamydia trachomatis (Ct) infections are sexually transmitted, often asymptomatic, and may lead to reduced fertility in women. Available sensitive detection methods on urine and effective single-dose treatment have made home-based screening for Ct infections feasible. In Swedish surveillance data we interpretated increasing chlamydia trends while using more sensitive tests. In a home based screening study in the Netherlands, 15-29 year old men and women were invited by Municipal Health Services. Response was 41%, and Ct prevalence was 0.6% in rural areas and 3.2% in very highly urbanised areas. Nationwide systematic screening is not indicated in the Netherlands and targeted approaches are a better option. We developed a prediction rule based on risk factors which is a promising tool for selective Ct-screening at population level. A reasonable discriminative ability of the rule was shown in population based data from Amsterdam and an outrea