Predictors of Attrition Among Rural Breast Cancer Survivors

Research in Nursing and Health - Tập 37 Số 1 - Trang 21-31 - 2014
Karen Meneses1, Andrés Azuero2, Xiaogang Su3, Rachel Benz2, Patrick McNees4
1School of Nursing; University of Alabama; Birmingham AL
2University of Alabama School of Nursing, Birmingham, AL
3University of Texas Department of Mathematical Sciences El Paso TX
4University of Alabama School of Health Professions Birmingham AL

Tóm tắt

AbstractAttrition 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.

Từ khóa


Tài liệu tham khảo

Allison P., 2010, Survival analysis using SAS: A practical guide

American Cancer Society(2013).Cancer facts & figures 2013. Retrieved fromhttp://www.cancer.org/acs/groups/content/@epidemiologysurveilance/documents/document/acspc‐036845.pdf.

10.1016/j.annepidem.2013.02.007

10.1016/j.cdp.2005.12.001

10.1002/cncr.21745

10.1016/j.jclinepi.2004.05.006

10.1007/s11764‐008‐0049‐y

Cook T. D., 1979, Quasi‐experimentation: Design and analysis issues for field settings, 341

10.1016/j.comppsych.2013.05.012

10.1016/S0895‐4356(01)00472‐3

10.1158/1055‐9965.EPI‐10‐1169

Everitt B. H. T., 2009, A handbook of statistical analyses using R

10.1016/j.jclinepi.2006.12.013

Florida Department of Health (2007).Vital Statistics Annual and Provisional Report: Population. Retrieved October 15 2012 fromhttp://www.flpublichealth.com/VSBOOK/VSBOOK.aspx.

10.1016/j.jclinepi.2008.06.010

10.1198/106186006X133933

10.1093/her/cyq010

Marcellus L., 2004, Are we missing anything? Pursuing research on attrition, Canadian Journal of Nursing Research, 36, 82

10.1016/j.ygyno.2011.11.038

Meneses K. M. (under review).Recruiting and enrolling rural breast cancer survivors in cancer control research.

10.1016/j.apnr.2013.08.001

10.1046/j.1523-5394.2002.101006.x

10.1007/s10549‐010‐1225‐0

10.1177/014662167700100306

10.1016/0149‐7189(95)00037‐2

10.1016/j.jclinepi.2006.11.023

R‐statistical‐software, 2008, R statistical software v2.15.00

10.1016/0277-9536(91)90150-B

10.1111/j.1467‐9876.2010.00754.x

10.1016/S0895-4356(01)00473-5

10.1097/00005650-199206000-00002

Whitten‐Goldstein K., 2003, Science meets reality: Recruitment and retention of women in clinical studies and the critical role of relevance, 121

10.1111/j.1467-842X.2006.tb00849.x