Title of article :
Screening Young Adults for Prevalent Chlamydial Infection in Community Settings
Author/Authors :
Cheryl R. Stein، نويسنده , , Jay S. Kaufman، نويسنده , , Carol A. Ford، نويسنده , , Peter A. Leone، نويسنده , , Paul J. Feldblum، نويسنده , , Majid Ahmadi and William C. Miller ، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Abstract :
Purpose
Community-based testing may identify young adults in the general population with sexually transmitted chlamydial infection. To develop selective screening guidelines appropriate for community settings, the authors conducted a cross-sectional analysis of the National Longitudinal Study of Adolescent Health Wave III (April 2, 2001, to May 9, 2002).
Methods
Separately for women and men, we developed three predictive models by using unconditional multiple logistic regression for survey data. To account for racial/ethnic disparity in prevalence, initial models included identical predictor characteristics plus information on 1) respondentʹs race/ethnicity; or 2) respondentʹs most recent partnerʹs race/ethnicity; or 3) no information on race/ethnicity.
Results
Chlamydia trachomatis diagnosis was available for 10,928 (88.6%) of the sexually experienced respondents. A combination of five characteristics for women and six characteristics for men identified approximately 80% of infections when testing ≤50% of the population. Information regarding race/ethnicity dramatically affected algorithm performance.
Conclusion
The use of race/ethnicity in any screening algorithm is problematic and controversial, but the model without race information missed many diagnoses in the minority groups. Universal screening in high-prevalence regions and selective screening in low-prevalence regions may be one method of reaching the affected populations while avoiding the stigma of guidelines incorporating race/ethnicity.
Keywords :
epidemiology , Chlamydia trachomatis , Mass screening , sexually transmitted disease
Journal title :
Annals of Epidemiology
Journal title :
Annals of Epidemiology