The FIS has acceptable reliability, content validity, and construct validity. This scale is appropriate for use in research and clinical practice settings to evaluate the risk-benefit perceptions of pregnancy in patients with breast cancer.
Most breast cancer patients are middle-aged women actively involved in establishing a family, developing a career, or raising children. With the exception of the Newly Diagnosed Breast Cancer Stress Scale (NDBCSS), few stress scales have been designed for women with breast cancer. This study checked the dimensionality of the NDBCSS by confirmatory factor analysis (CFA) and the results showed a poor fit, indicating an urgent need for improvement. Exploratory factor analysis (EFA) using the varimax rotation method was performed to improve the model, the revised NDBCSS (NDBCSS-R), which showed a good Kaiser-Meyer-Olkin value, Bartlett’s test of sphericity, and internal consistency reliability. The NDBCSS-R showed improved indices compared with NDBCSS, including: chi-square fit statistics/degree of freedom (CMIN/DF), goodness-of-fit index (GFI), adjusted goodness of fit index (AGFI), normed fix index (NFI), relative fit index (RFI), incremental fix index (IFI), Tucker–Lewis index (TLI), comparative fix index (CFI), root mean square error of approximation (RMSEA), root mean square residual (RMR), parsimonious goodness-fit-index (PGFI), and parsimonious normed fit index (PNFI). In conclusion, the improved NDBCSS-R can provide health professionals with an early understanding of the stress levels of women with breast cancer so that they can provide immediate medical intervention to prevent vicious cycles in a timely manner.
s u m m a r y Background: Functional status is an important component of health status of the elderly. However, few studies have discussed the correlation between health status and each item of the activities of daily living scales (ADLs). The aim of this study was to investigate both the prevalence of functional disability in each activity of daily living (ADL) item and the association between each ADL item and the self-rated health of the elderly. Methods: A stratified random sample of 302 male and 298 female elderly residents, aged 65 and older, in Miaoli County was drawn. Baseline characteristics, functional status of each ADL item, and self-rated health of the participants were collected. Results: The results showed that the self-rated health status was excellent, good, or fair in 72.3% of the sample, and bad or poor in 27.7%. The most common disability among basic ADLs was transfers (9.3%); the most common disability among instrumental ADLs (IADLs) was transportation (24.7%). Multiple logistic regression analysis revealed that bathing, feeding, dressing, bowel and bladder control, transfers, transportation, and responsibility for own medication, were independently associated factors of selfrated health. Bowel and bladder control (odds ratio, 4.72; 95% confidence interval, 1.76e12.67) and feeding (odds ratio, 4.27; 95% confidence interval, 1.61e11.37) were the leading items correlated with self-rated health. Conclusion: In summary, in terms of self-rated health, the most important ADLs were bowel and bladder control and feeding. Further study is warranted to investigate the effects of restoring specific healthrelated ADL to improve the health of the elderly.
This study aimed to identify factors that significantly affect the behavioral intention of nursing staff to practice telenursing, applying the decomposed theory of planned behavior (DTPB) as the research framework. This cross-sectional survey study collected data from a valid sample of 203 responses from nurses from a regional hospital in Taipei City, Taiwan. The results of data analysis showed that nursing staff’s attitude, subjective norms, and perceived behavioral control toward telenursing correlated positively with behavioral intention to participate in telenursing. Decomposing the main concepts identified two significant predictive determinants that influence nurses’ behavioral intentions: (a) facilitating conditions (β = 0.394, t = 5.817, p = 0.000 < 0.001) and (b) supervisor influence (β= 0.232, t = 3.431, p = 0.001 < 0.01), which together explain 28.6% of the variance for behavioral intention. The results of this study indicated that support and encouragement from nursing supervisors are important factors affecting nurses’ intention to practice telenursing. Education and training, health policies advocacy and the provision of adequate facilitating technologies and recourses are important factors for improving intention to practice telenursing.
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