Department Seminar - Derivation of a Clinical Prediction Rule to target sexual health interventions

Speaker: Dr Natalie Edelman, University of Brighton

Abstract: In primary care settings it can be difficult to target contraceptive advice and supply (CAS) and sexually transmitted infection (STI) testing to women who would benefit, without asking highly-sensitive and time-consuming questions about sexual behaviour. This study hypothesised that psychosocial and socio-demographic questions might provide an alternative and acceptable means of doing so. This study used clinical prediction modelling of GP survey data to derive a clinical prediction rule using psychosocial and socio-demographic factors associated with self-report of the following key sexual risk experiences indicative of the need for sexual health discussion and possible STI testing and contraceptive advice and supply: two or more male sexual partners in the last year (2+P) and risk of unintended pregnancy in the last six months (RUIP).Abstract: In primary care settings it can be difficult to target contraceptive advice and supply (CAS) and sexually transmitted infection (STI) testing to women who would benefit, without asking highly-sensitive and time-consuming questions about sexual behaviour. This study hypothesised that psychosocial and socio-demographic questions might provide an alternative and acceptable means of doing so. This study used clinical prediction modelling of GP survey data to derive a clinical prediction rule using psychosocial and socio-demographic factors associated with self-report of the following key sexual risk experiences indicative of the need for sexual health discussion and possible STI testing and contraceptive advice and supply: two or more male sexual partners in the last year (2+P) and risk of unintended pregnancy in the last six months (RUIP).Abstract: In primary care settings it can be difficult to target contraceptive advice and supply (CAS) and sexually transmitted infection (STI) testing to women who would benefit, without asking highly-sensitive and time-consuming questions about sexual behaviour. This study hypothesised that psychosocial and socio-demographic questions might provide an alternative and acceptable means of doing so. This study used clinical prediction modelling of GP survey data to derive a clinical prediction rule using psychosocial and socio-demographic factors associated with self-report of the following key sexual risk experiences indicative of the need for sexual health discussion and possible STI testing and contraceptive advice and supply: two or more male sexual partners in the last year (2+P) and risk of unintended pregnancy in the last six months (RUIP).