Open AccessValidation of a Clinical Prediction Rule to Predict Asymptomatic Chlamydia and Gonorrhea Infections Among Internet-Based Testers
Author(s) -
Aidan Ablona,
Titilola Falasinnu,
Michael A. Irvine,
Claudia Estcourt,
Paul Flowers,
Michelle Murti,
Oralia Gómez-Ramírez,
Christopher K Fairley,
Sharmistha Mishra,
Ann Burchell,
Troy Grennan,
Mark Gilbert
Publication year - 2020
Publication title -
sexually transmitted diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.507
H-Index - 105
eISSN - 1537-4521
pISSN - 0148-5717
DOI - 10.1097/olq.0000000000001340
Subject(s) - medicine , asymptomatic , gonorrhea , chlamydia , population , receiver operating characteristic , immunology , environmental health , human immunodeficiency virus (hiv)
Clinical prediction rules (CPRs) can be used in sexually transmitted infection (STI) testing environments to prioritize individuals at the highest risk of infection and optimize resource allocation. We previously derived a CPR to predict asymptomatic chlamydia and/or gonorrhea (CT/NG) infection among women and heterosexual men at in-person STI clinics based on 5 predictors. Population differences between clinic-based and Internet-based testers may limit the tool's application across settings. The primary objective of this study was to assess the validity, sensitivity, and overall performance of this CPR within an Internet-based testing environment (GetCheckedOnline.com).