Related Experiment Video
Updated: Aug 10, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
An in-depth and updated perspective on determinants of cervical cancer screening among central Appalachian women
Nancy E Schoenberg1, Claudia Hopenhayn, Amy Christian
1Department of Behavioral Sciences, Lexington, KY, 40536-0086, USA. nesch@uky.edu
Abstract:
Although cervical cancer rates in the U.S. have declined sharply, certain groups remain at elevated risk, including Appalachian women. To establish culturally-relevant cervical cancer prevention programs requires a comprehensive, current understanding of the factors which influence women's decisions to undergo Pap tests. Since most studies that found low rates of Pap test use in Appalachia were carried out decades ago, an in-depth update is warranted. Local, trained interviewers conducted interviews with rarely or never screened Appalachian women from Kentucky and West Virginia. Sessions were tape recorded, transcribed, and content analyzed. Participants (N = 25) suggested the following positive influences on obtaining screening: having an orientation toward the use of preventive health services; having health insurance and access to a good medical environment; and maintaining a flexible enough schedule to keep appointments. Screening barriers included: fear of subjecting oneself to medical scrutiny because of obesity or being a smoker; inadequate health care access such as clinician shortages, scarcity of specialty providers, long travel time to services, and clinic schedules that do not accommodate working women; and lack of providers' recommendations. Rarely mentioned were some previously reported factors including male relatives' refusal to permit Pap tests, concern over privacy, and lack of belief in Pap tests.
Related Concept Videos
Cancer Prevention
Some...
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Cancer Survival Analysis