Predicting STI Diagnoses Amongst MSM and Young People Attending Sexual Health Clinics in England: Triage Algorithm Development and Validation Using Routine Clinical Data.

ABSTRACT:

Background

Sexual health (SH) services increasingly need to prioritise those at greatest risk of sexually transmitted infections (STIs). We used SH surveillance data to develop algorithms to triage individuals attending SH services within two high-risk populations: men who have sex with men (MSM) and young people (YP).

Methods

Separate multivariable logistic regression models for MSM and YP were developed using surveillance data on demographics, recent sexual history, prior STI diagnoses and drug/alcohol use from five clinics in 2015-2016 to identify factors associated with new STI diagnoses. The models were prospectively applied in one SH clinic in May 2017 as an external validation.

Findings

9530 YP and 1448 MSM SH episodes informed model development. For YP, factor

SUBMITTER: King C 

PROVIDER: S-EPMC6537562 | biostudies-literature | 2018 Oct-Nov

REPOSITORIES: biostudies-literature