Perspectives on self-sampling for cancer screening among rural and urban women: Multilevel factors related to acceptability
Related Experiment Video
Updated: Nov 5, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Kelsey C Stoltzfus1, Madyson L Popalis1, Paul L Reiter2
1Department of Family and Community Medicine, Penn State College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania, USA.
Purpose:
Self-sampling tests may be used to overcome barriers to screening that are more prevalent in rural populations compared to urban populations. This study aims to qualitatively examine the attitudes toward established and novel self-sampling tests for cervical and colorectal cancer among women, comparing themes from rural versus urban areas.
Methods:
We recruited women (ages 45-65) from 28 counties in Pennsylvania. Four focus groups were conducted with women from metropolitan counties, and 7 focus groups were conducted with women from nonmetropolitan counties. A brief survey was conducted prior to the focus group regarding general health and willingness to complete self-sampling tests for cervical and colorectal cancer.
Findings:
We identified 3 themes about the potential for self-sampling for cancer screening: advantages and disadvantages of self-sampling compared to traditional testing, impact of self-sampling on patient interactions with their health care providers/clinics, and implications for improving/worsening access to quality health care services. We detected differences in responses from rural versus urban participants in the potential impact of self-sampling for cancer screening.
Conclusions:
There are several barriers and facilitators at the individual, interpersonal, and organizational levels that influence the feasibility of implementing self-sampling for cancer screening in routine clinical practice. Rural participants face unique barriers to cancer screening across all levels. These findings can be used to guide interventions aimed at increasing the use of self-sampling methods.
More Related Videos
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...
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...
Longitudinal Research
Surveys
Convenience Sampling Method
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...

