Related Experiment Video
Updated: Mar 3, 2026

Author Spotlight: Innovative Device Development for Advancing Dendroecology and Wood Anatomy Research
Published on: September 27, 2024
Self-sampling to improve cervical cancer screening coverage in Switzerland: a randomised controlled trial
Manuela Viviano1, Rosa Catarino1, Emilien Jeannot2,3
1Gynecology Division, Department of Obstetrics and Gynecology, Geneva University Hospitals, Boulevard de la Cluse 30, Geneva, 1205, Switzerland.
Background:
The aim of this study is to evaluate whether self-sampling can increase screening attendance of women who do not attend regular screening in Switzerland.
Methods:
Participants were proactively recruited in Geneva between September 2011 and November 2015. Women (25-69 years) who had not undergone CC screening in the last 3 years were considered eligible. Through a 1 : 1 ratio randomisation, enrolled participants were invited to either undergo liquid-based cytology, which was performed by a health-care provider (control group, CG) or to take a self-sample for HPV-testing, which was mailed to their home (intervention group, IG).
Results:
A total of 331 and 336 women were randomised in the CG and in the IG, respectively. Overall, 7.3% (95% CI: 4.9-10.6) women in the CG and 5.7% (95% CI: 3.6-8.7) women in the IG did not undergo the initial screening (P=0.400). There were 1.95% (95% CI: 0.8-4.3) women in the CG and 5.05% (95% CI: 3.1-8.1) women in the IG with a positive screen who did not attend triage and colposcopy (P=0.036).
Conclusions:
The participation in CC screening in women offered self-sampling was not higher than among those offered specimen collection by a clinician. Compliance with further follow-up for women with a positive HPV test on the self-sample requires further attention.
Related Concept Videos
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Systematic Sampling Method
Systematic sampling is one of the simplest methods...
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...

