Deriving and validating a risk estimation tool for screening asymptomatic chlamydia and gonorrhea.

Area of Science:

• Public Health
• Epidemiology
• Health Services Research

Background:

• Innovative service delivery models are needed for sexual health due to limited resources and rising infection rates.
• Prioritizing resources in sexual health services is crucial for effective public health interventions.

Purpose of the Study:

• To derive and validate a risk scoring algorithm for identifying asymptomatic patients at increased risk of chlamydia and/or gonorrhea.
• To develop a tool for more accurate and efficient sexual health screening.

Main Methods:

• Utilized electronic health records from Vancouver sexual health clinics (2000-2012).
• Derived risk scores using multivariable logistic regression on 2000-2006 data.
• Validated the model's performance (discrimination, calibration, screening) on 2007-2012 data.

Main Results:

• The final model identified younger age, non-white ethnicity, multiple sexual partners, and prior infection as key risk factors.
• The algorithm demonstrated reasonable performance in both derivation (AUC=0.74) and validation (AUC=0.64) datasets.
• A risk score cutoff of 6 identified 91% (derivation) and 83% (validation) of infections while screening 68% of the population.

Conclusions:

• The validated algorithm supports individualized risk assessment for sexual health.
• It has significant implications for reducing unnecessary screenings and healthcare costs.
• Potential applications include internet-based testing, personalized recommendations, and enhanced risk communication.