Investigator

Stefanie Costa

PhD Candidate · Amsterdam UMC Locatie VUmc, Epidemiology and Data Science

SCStefanie Costa
Papers(1)
Offering HPV self-sam…
Collaborators(1)
Marc Arbyn
Institutions(2)
Sciensano BelgiumGhent University

Papers

Offering HPV self-sampling kits: an updated meta-analysis of the effectiveness of strategies to increase participation in cervical cancer screening

Human papillomavirus (HPV) testing on self-samples represents a great opportunity to increase cervical cancer screening uptake among under-screened women. A systematic review and meta-analysis on randomised controlled trials (RCTs) were performed to update the evidence on the efficacy of strategies for offering self-sampling kits for HPV testing compared to conventional invitations and to compare different self-sampling invitation scenarios. Four experimental invitational scenarios were considered. Women in the control group were invited for screening according to existing practice: collection of a cervical specimen by a healthcare professional. Random-effects models were used to pool proportions, relative participation rates and absolute participation differences. Thirty-three trials were included. In the intention-to-treat analysis, all self-sampling invitation scenarios were more effective in reaching under-screened women compared to controls. Pooled participation difference (PD) and 95% confidence interval (CI) for experimental vs. control was 13.2% (95% CI = 11.0-15.3%) for mail-to-all, 4.4% (95% CI = 1.2-7.6%) for opt-in, 39.1% (95% CI = 8.4-69.9%) for community mobilisation & outreach and 28.1% (23.5-32.7%) for offer at healthcare service. PD for the comparison opt-in vs. mail-to-all, assessed in nine trials, was -8.2% (95% CI = -10.8 to -5.7%). Overall, screening participation was higher among women invited for self-sampling compared to control, regardless of the invitation strategy used. Opt-in strategies were less effective than send-to-all strategies.

3Works
1Papers
1Collaborators
Uterine Cervical NeoplasmsEarly Detection of CancerPapillomavirus Infections

Positions

2023–

PhD Candidate

Amsterdam UMC Locatie VUmc · Epidemiology and Data Science

2021–

Scientific Researcher

Sciensano (Belgium) · Unit of Cancer Epidemiology