So Mi Park | 4 Articles |
PURPOSE
1) to construct cohorts according to risk scores calculated with the Gail Breast Cancer Risk Assessment Tool (Gail et al., 1989) (Gail) and the Breast Cancer Risk Appraisal (Lee et al,. 2003) (Lee) 2) to identify the distribution of risk factors and preventive behavior stages between the cohorts 3) to identify abnormal breast conditions in risk cohort. METHOD Using convenience sampling, 775 rural women were selected. Risk appraisal was scored using Gail and Lee. Preventive behavior stages for BSE (Breast self examination) and mammography were measured using 4 stages of the Transtheoretical Model (Prochaska & DiClemente, 1983). RESULTS 1) The risk cohort according to Gail was 12.3% (n=95), and Lee, 3.1% (n=24). 2) There were significant differences in the distribution of risk factors (age, family history, age at 1st live birth, age at menarche, number of breast biopsy, history of breast disease, and breast-feeding) between cohorts. 3) There was a significant difference in the distribution of the stage of BSE according to Lee. 4) Six women in the risk group detected masses or nodules and physician consultation and ultrasonography were recommended. CONCLUSION On the basis of the constructed cohorts, further longitudinal studies of cohorts are recommended with interventions according to characteristics of cohorts.
PURPOSE
The purpose of this study was 1) to classify the stage of adoption 2) to compare the decisional balance and confidence by stage of adoption 3) to identify factors influenced the stage of adoption for breast self exam. METHOD: A comparative study using a survey method with convenience sample of 143 women was used. Decisional balance and confidence was measured using the CHBMS-K. Stage of adoption for BSE was measured by a single item modified by the researchers based on the Rakowski et al (1992). RESULT: 1) The number of women in each stage of adoption for BSE was as follows; maintenance phase, 7.7% (n=11), action phase, 49.0% (n=70), contemplation phase, 35.0% (n=50) and pre- contemplation phase, 8.4%(n=12). 2) The mean difference in the decisional balance (F=4.32, p=.006) and confidence (F=13.85, p=.000) according to the stage of BSE adoption was statistically significant. 3) Prevention education and confidence accounted for 32% of variance in BSE. CONCLUSION: Assessment of decisional balance and stage of adoption for BSE can guide planning for cancer prevention education. We must educate women to have confidence in BSE. Further, it is important to urge women to continually practice BSE.
PURPOSE
The purpose of this study was to examine factors related to different stages of mammography screening based on the transtheoretical model (TTM) and health belief model (HBM). METHOD: 143 women were recruited from community centers in W city. The mean age was 44.08 (SD=7.78) and 74 (51.7%) had experienced education on preventative behavior related to breast cancer. The Decisional Balance Scale (Pros and Cons of mammography) and Stages of Adoption of Mammography Scale by Rakowski et al. (1992) and the revised Health Belief Model Scale (Perceived Seriousness, Perceived Susceptibility and Health Motivation) by Champion (1993) were used. RESULTS: According to the stage of adoption of mammography, 17.4% of the women were in pre-contemplation, 45.5% in contemplation, 24.5% in action, and 12.6% in maintenance. The mean differences for pros, and the decisional balances between the stages of mammography adoption were significant (F=8.84, p=.000; F=7.20, p=.000). Education related to prevention of breast cancer was the most important variable. Prevention education, history of breast disease and pros of mammography explained the stages of mammography adoption (R2=26%). CONCLUSION Findings support TTM as a useful tool for improving mammography adherence. Behavioral interventions that target decisional balance and health belief can effectively promote adherence to mammography.
PUPPOSE: The purpose of this study was to analyze related factors for major nursing diagnoses used in caring for institutionalized elders.
METHOD This study was a descriptive study. The participants were 92 residents in a long-term care facility in Wonju, selected by convenience sampling. The instrument was a checklist designed on the basis of the related factors suggested by NANDA (1997) and a literature review. Data was collected by chart review, observation, and interviews with the participants. Data was analyzed using descriptive statistics with the SPSS WIN program. RESULT The most frequent nursing diagnosis was 'risk for injury', 'self-esteem disturbance', 'activity intolerance', 'impaired phyical mobility', and 'powerlessness'. The most frequent component for related factors for the five component for each nursing diagnosis was the physical component, followed by the social component. Common related factors for the nursing diagnoses were 'pain', 'change of emotional state/disorder', 'cognitive disorder', 'change of physical structure and function', and 'physical impairment', and 'immobility'. CONCLUSION The results of this study can contribute to the development of appropriate nursing intervention programs for elders (eg. 'Injury Prevention Programs', 'Self-esteem Improvement Programs' etc.). Clinical guidelines that gerontological nurses can use to accurately assess health problems and select appropriate nursing interventions may be developed.
|