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) respondent's race/ethnicity; or 2) respondent's most recent partner's 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.
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) respondent's race/ethnicity; or 2) respondent's most recent partner's 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.
Authors: Lisa E Manhart; Jeanne M Marrazzo; David N Fine; Roxanne P Kerani; Matthew R Golden Journal: J Infect Dis Date: 2007-07-17 Impact factor: 5.226
Authors: D S Metzger; B Koblin; C Turner; H Navaline; F Valenti; S Holte; M Gross; A Sheon; H Miller; P Cooley; G R Seage Journal: Am J Epidemiol Date: 2000-07-15 Impact factor: 4.897
Authors: C L Celum; G Bolan; M Krone; K Code; P Leone; C Spaulding; K Henry; P Clarke; M Smith; E W Hook Journal: Sex Transm Dis Date: 1997-11 Impact factor: 2.830
Authors: William C Miller; Carol A Ford; Martina Morris; Mark S Handcock; John L Schmitz; Marcia M Hobbs; Myron S Cohen; Kathleen Mullan Harris; J Richard Udry Journal: JAMA Date: 2004-05-12 Impact factor: 56.272
Authors: Sarah Wood; Jungwon Min; Vicky Tam; Julia Pickel; Danielle Petsis; Kenisha Campbell Journal: Am J Public Health Date: 2022-01 Impact factor: 9.308
Authors: Shelley N Facente; Christopher D Pilcher; Wendy E Hartogensis; Jeffrey D Klausner; Susan S Philip; Brian Louie; Katerina A Christopoulos; Teri Dowling; Grant N Colfax Journal: PLoS One Date: 2011-07-06 Impact factor: 3.240
Authors: Joanna Crichton; Matthew Hickman; Rona Campbell; Harriet Batista-Ferrer; John Macleod Journal: BMC Public Health Date: 2015-07-30 Impact factor: 3.295