Post-Doc Deborah Ejem explores link between spirituality, health care
PhD student Lowe receives scholarships from NBNA, HPNF
Faculty, PhD student represent School at Thailand health care conference
Bakitas named MHRC Barkley Excellence in Mentoring Award winner
Bowen receives grant for health policy research
Post-doc receives five-year, $935,000 K-99/R00 from NINR

Predictors of attrition among rural breast cancer survivors

Meneses K, Azuero A, Su X, Benz R, McNees P.

Abstract

Attrition can jeopardize both internal and external validity. The goal of this secondary analysis was to examine predictors of attrition using baseline data of 432 participants in the Rural Breast Cancer Survivors study. Attrition predictors were conceptualized based on demographic, social, cancer treatment, physical health, and mental health characteristics. Baseline measures were selected using this conceptualization. Bivariate tests of association, discrete-time Cox regression models and recursive partitioning techniques were used in analysis. Results showed that 100 participants (23%) dropped out by Month 12. Non-linear tree analyses showed that poor mental health and lack of health insurance were significant predictors of attrition. Findings contribute to future research efforts to reduce research attrition among rural underserved populations.

© 2013 Wiley Periodicals, Inc.

Link to PubMed