Prevalence Estimate Chlamydia and Gonorrhoea Netherlands

Prevalence Estimate Chlamydia and Gonorrhoea Netherlands - PECAN

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON43464

Enrollment

3100

Registered

2016-09-28

Start date

2016-10-29

Completion date

Unknown

Last updated

2024-04-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gonorroe Sexually Transmitted Infections STI

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: age 18-34 years

Exclusion criteria

Exclusion criteria: age below 18 years or above 34 years; no sexual experience (no experience with sexual intercourse)

Design outcomes

Primary

Measure	Time frame
Proportion chlamydia and gonorrhoea positive among participants and estimates thereof for the entire population and by risk factor / subgroup (or combinations thereof).	—

Secondary

Measure	Time frame
- To evaluate the validity of current surveillance data, by getting better insight into the prevalence and risk factors among the population groups visiting the general practice or STI clinic for STI testing and those who do not seek STI Healthcare (but have been at risk for STI). - Gain better insight into the factors (demographic and behavioral) associated with STIs in the Netherlands. - To obtain data that can serve as input for transmission models in the Netherlands to predict the impact of interventions.	—

Measure

Time frame

- To evaluate the validity of current surveillance data, by getting better insight into the prevalence and risk factors among the population groups visiting the general practice or STI clinic for STI testing and those who do not seek STI Healthcare (but have been at risk for STI). - Gain better insight into the factors (demographic and behavioral) associated with STIs in the Netherlands. - To obtain data that can serve as input for transmission models in the Netherlands to predict the impact of interventions.

—

Countries

Netherlands

Outcome results