A Closer Look at Unmet Needs at the End of Primary Treatment for Breast Cancer: A Longitudinal Pilot Study.
Saved in:
| Title: | A Closer Look at Unmet Needs at the End of Primary Treatment for Breast Cancer: A Longitudinal Pilot Study. |
|---|---|
| Authors: | Burris, Jessica L. (AUTHOR), Armeson, Kent (AUTHOR), Sterba, Katherine Regan (AUTHOR) |
| Source: | Behavioral Medicine. Apr-Jun2015, Vol. 41 Issue 2, p69-76. 8p. 3 Charts. |
| Subjects: | Breast tumor treatment, Cancer patients, Statistical correlation, Longitudinal method, Questionnaires, Research funding, Statistics, Pilot projects, Data analysis, Randomized controlled trials, Data analysis software, Descriptive statistics |
| Abstract: | This study describes the nature of unmet needs (UN) as women with breast cancer transition from “patient” to “survivor.” Data are from a longitudinal study of 90 women with stage I–III breast cancer. Data were collected 2–3 weeks before, and 10 weeks after, completion of radiation. A modified Cancer Survivors’ Unmet Needs (CaSUN) instrument measured UN. Most participants reported ≥1 unmet need at baseline (80.00%) and follow-up (69.31%), with UN across physical, healthcare, information, psychosocial, and survivorship domains. Total number of UN declined over time,t(87) = 3.00,p< .01. UN likely to persist from baseline to follow-up involved cancer recurrence concerns, stress management, household responsibilities, and others not acknowledging/understanding cancer. Younger women (p= .01) and those with more severe (p< .01), life-interfering (p= .01) symptoms had greater burden of UN. This study highlights the dynamics of UN in the weeks before and after primary treatment. Future studies should identify long-term consequences of persistent UN. [ABSTRACT FROM PUBLISHER] |
| Copyright of Behavioral Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
