Author: Janice J. FosheePublisher:
ISBN:
Category : Breast
Languages : en
Pages : 144
Book Description
Predictors of Breast Self Examination Among Older Women
Author: Janice J. FosheePublisher:
ISBN:
Category : Breast
Languages : en
Pages : 144
Book Description
Perceived Barriers as Predictors of Poor Breast Self-examination Compliance Among Older and Younger Women
Author: Pamela S. NealPublisher:
ISBN:
Category : Breast
Languages : en
Pages : 54
Book Description
Predictors of Breast Self-examination in Community-residing Women
Author: DeAnne R. SmithPredictors of Disease Stage at Diagnosis Among Women with Breast Cancer
Author: Patrice Aurore VaethPublisher:
ISBN:
Category :
Languages : en
Pages : 520
Book Description
Knowledge of Breast Self-examination and Other Determinants Relationship on the Self-rated Health Status of Elderly Women
Author: Kevin D. EvansPublisher:
ISBN:
Category : Breast
Languages : en
Pages :
Book Description
Abstract: An urgent need exists to reduce elderly women's risk for breast cancer by promoting a health behavior that could lower this threat. The knowledge of breast self-examination could represent a health behavior that leads to the detection of advanced breast cancer and could influence elderly women's self-rated health status. The focus of this study was to determine if the knowledge of breast self-examination (BSE) as an adaptive health behavior can influence the self-rated health status of elderly women. Additional factors were also considered for the extent of their potential influence on an elderly woman's estimate of health. The purpose of this research was to study the relationship of breast cancer risk, knowledge of BSE, environmental press, and individual competence factors on the self-rated health status of women, age 75 years and older, residing in a group of assisted living facilities. This study looked at whether BSE knowledge could be a significant contributor to these women's self-rated health status. This research was conducted with a quasi-experimental design and used random assignment to place assisted living facilities in either treatment or control groups. On the participant level, older women were provided with their risk of breast cancer prior to the intervention. In addition, the experimental group of older women received BSE instruction and then 8 weeks later were surveyed as to their health. Likewise, the control group provided the same data, except BSE instruction was withheld. A t-test was done to check for differences between the groups as well as a correlation to gauge relationships between the independent variables and the dependent variable for each of the groups. Finally, a step-wise linear regression was preformed to find which of the independent variables best explained the most variance in the dependent variable for each of the groups. BSE knowledge was shown to contribute statistically to the experimental older women's self rated mental health scores. Independent activities of daily living were statistically significant for both groups at explaining variance in their physical health scores. Independence also was indicated as being important in explaining variance in the mental health score of the experimental group.
Predictors of Breast Self-examination Behavior Among Malaysian Women
Author: Ahmad Tajuddin OthmanPublisher:
ISBN:
Category : Breast
Languages : en
Pages : 118
Book Description
Early Stage Breast Cancer in Older Women: Predictors and Outcomes of Therapy
Author: Ann B. NattingerPublisher:
ISBN:
Category :
Languages : en
Pages : 22
Book Description
The goal of this project is to develop from secondary data bases a population-based observational cohort to study the relationship of initial surgical treatment for breast cancer and specific outcomes. In the initial grant year, work has focused on the development of an algorithm to identify women with early stage breast cancer treated with mastectomy or breast-conserving treatment (BCT) using Medicare claims. Compared to Surveillance, Epidemiology and End Results (SEER) Registry data, in-patient Medicare data have been found to have 87% sensitivity for mastectomy cases but only 45% sensitivity for BCT cases. Addition of outpatient Medicare claims improves the sensitivity for BCT cases, but the specificity of the algorithm when applied to a general Medicare population requires further assessment. Due to the low incidence of breast cancer in the general Medicare population, a specificity of % 99.9% may be required to attain a sufficiently high positive predictive value for the algorithm.
Factors Associated with the Practice of Breast Self-examination in Older Women
Author: Paula and Tumbale Smiley (Teresa)Publisher:
ISBN:
Category :
Languages : en
Pages : 154
Book Description
Barriers, Motivators and Predictors of Screening Mammography in Older Women
Author: Christine A. PhillipsPublisher:
ISBN:
Category : Breast
Languages : en
Pages :
Book Description
Early Stage Breast Cancer in Older Women: Predictors Outcomes of Therapy
Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 116
Book Description
This study uses secondary data bases (SEER tumor registry records and Medicare claims data) to examine the relationship of primary breast cancer treatment to specific outcomes. Our studies of the accuracy and completeness of a Medicare claims algorithm for determining breast cancer surgery show that 94% of SEER patients undergoing breast cancer surgery are identified by a combination of Medicare claims. The physician part B claims identify a higher percentage of patients than do the inpatient claims alone. Using SEER and Medicare claims, we have determined that a substantial minority of women with early stage breast cancer undergo care that does not meet the 1990 NCI Consensus statement guidelines. Women who underwent breast-conserving surgery but neither axillary node dissection nor radiotherapy were at significantly higher risk of death, after adjusting for age, tumor size, and comorbid conditions. In preparation for studying the intermediate outcome of treatment for recurrent disease, a methodology has been developed for categorizing Medicare claims into those tor initial treatment and those for recurrent disease treatment. The methodology utilizes a statistical model of number of claims and months after diagnosis to classify claims.