A Thesis submitted to The University of Arizona College of Medicine - Phoenix in partial fulfillment of the requirements for the Degree of Doctor of Medicine. / Cancer‐related fatigue (CRF) is a well‐documented symptom among gynecologic oncology patients. However, there is little known about the etiology, and treatment options are currently suboptimal. While the lack of knowledge surrounding the intricacies of CRF impedes effective care, there is arguably a more serious barrier to delivering adequate treatment. Fatigue symptoms are highly underreported to physicians making it impossible to offer treatment to a large subsection of patients. This study will focus specifically on gynecologic oncology patients, a population with a staggering prevalence of CRF. The purpose of this study is to identify clinical, psychosocial, and lifestyle characteristics that may be associated with the underreporting of fatigue specifically in gynecologic oncology patients. The design of this study is a cross‐sectional survey. 89 subjects were recruited from three outpatient sites. Inclusion criteria included: (a) women age ≥18 years old with a known ovarian, uterine, cervical, vaginal, vulvar, or primary peritoneal cancer; (b) Currently attending physician’s office hours and/or undergoing chemotherapy at one of the above listed centers. This study will focus specifically on the reporting of CRF in gynecologic oncology patients. Results showed that barriers to reporting fatigue were significantly correlated with the chemotherapy cycle a patient was undergoing. Additionally, the date of last treatment, a patient’s weight, and the cancer stage was associated with higher levels of underreporting in this population. The prevalence of cancer related fatigue is staggering; however, there is limited research as to why patients are underreporting such a significant symptom to their health care team. With the knowledge from this study, screening for fatigue can become more efficient by targeting women in specific chemotherapy cycles. Practitioners can also use this data to identify patients with high‐risk characteristics that might contribute to their unwillingness to discuss fatigue symptoms.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/623271 |
| Date | 27 April 2017 |
| Creators | Chavez, Marin |
| Contributors | The University of Arizona College of Medicine - Phoenix, Chase, Dana MD |
| Publisher | The University of Arizona. |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Rights | Copyright © is held by the author. Digital access to this material is made possible by the College of Medicine - Phoenix, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. |
Page generated in 0.0017 seconds