The focus of this study was to explore women’s experiences with follow-up after
an abnormal mammogram, and factors that influence follow-up. Factors, including
health status, found in the cancer screening and treatment literature, are necessary in
identifying variables which have the potential to affect a person’s perception, and
promote or deter follow-up. Protection Motivation Theory constructs utilized in this
study are found in the literature to improve diagnostic health behaviors such as
performing breast self-examination and complying with diagnostic tests.
A non-experimental, descriptive, cross-sectional design was used to identify the
barriers to follow-up after an abnormal mammogram by: 1) determining the
noncompliance rate of follow-up mammograms among women screened at an urban
hospital’s mammography mobile unit in North Texas (October 1, 2004, to September 31,
2005) who were found to need further evaluation for suspected abnormal findings; and
2) identifying factors associated with noncompliance and perceived barriers to
noncompliance.
The sample consisted of 262 participants, 136 (52%) women whom the hospital
reported had not returned for follow-up and 126 (48%) women who were reported to have returned. A logistic regression model was performed using follow-up as the
dependent variable. The variables most related to follow-up were (1) number of
mammograms in the last 5 years; (2) having health insurance; (3) having problems
receiving abnormal mammogram results; (4) having problems receiving or making a
follow-up appointment; (5) taking off from work for the follow-up appointment; (6) not
having transportation to follow-up appointment; and (7) waiting a long time to receive
the follow-up appointment.
Non-compliance to recommended follow-up after an abnormal mammogram is a
serious public health concern, since breast cancer screening can improve breast cancer
outcomes only if prompt diagnostic resolution and access to state-of-the-art care is
available to all screening participants. This study adds to the literature on predictors of
follow-up after an abnormal mammogram, as well as the to the health disparities
literature.
Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-1130 |
Date | 15 May 2009 |
Creators | Copeland, Valerie Anne |
Contributors | Guidry, Jeffrey J. |
Source Sets | Texas A and M University |
Language | en_US |
Detected Language | English |
Type | Book, Thesis, Electronic Dissertation, text |
Format | electronic, application/pdf, born digital |
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