Women undergoing adjuvant therapy for breast cancer have diverse information needs that remain unfulfilled. Extensive research has shown that access to relevant information about their condition can ...significantly enhance the quality of life for these women, making it an essential part of cancer care. However, various clinical and socioeconomic factors influence the information needs of these women. Hence, the primary aim of this study is to identify predictors of the information needs of women undergoing adjuvant therapy for breast cancer. In addition, this study will also describe the preferred sources of information and the optimal timing for its acquisition.
A facility-based cross-sectional study was undertaken at Tikur Anbessa Specialty Hospital, enlisting a cohort comprising 121 women undergoing adjuvant therapy for breast cancer. Trained interviewers administered an Amharic-translated Toronto information needs questionnaire specifically designed for breast cancer to assess the information needs of the study participants Statistical analysis was executed using the sophisticated software SPSS (version 25). Descriptive statistics were employed to summarize the variables of the study. A linear regression analyses was then carried out to identify notable predictors that significantly influenced the information needs of the women.
The total mean score for overall information needs in the current study was 194.30 (± 28.01), with a range scale of 142-260 and a standardized mean score of 3.74 (± 0.54). The disease and treatment domains had the highest information needs, with standardized mean scores (standard deviation) of 4.00 (± 0.54) and 3.77 (± 0.59), respectively. 95% of the participants sought information from healthcare professionals, and 67.7% of the women needed the information before beginning the treatments. Predictors of information needs were following a single treatment option (β = 12.68; 95% CI (0.68, 24.68); P = 0.039) and joining higher education and above (β = 17.1; 95% CI (1.47, 34.14); P = 0.033).
The women exhibited a substantial demand for information. Healthcare professionals need to consider the women's educational background and treatment status while delivering the needed information.
Child sexual abuse is common typically concealed while substance abuse is unhidden in their nature of practice globally.
The study aims to express the overview of child sexual and substance abuse ...among children in Ethiopia.
A facility-based cross-sectional study design with simple random sampling method was used to recruit study participants, after the allocation of sample size to the study institutions. Both descriptive and inferential statistics were used to describe the variables and to show the association of factors.
A total of 450 children participated in the study. The mean age of the study participants was 13.67. More than 38% of the study participants were of age below the mean age. The majority of 61.3% of the study population were living with their parents. Factors associated with child sexual abuse were sex (AOR = 2.92; 95% CI; 1.84,4.63), alcohol intake (AOR = 2.53; 95% CI; 1.461, 4.36), chewing chat (AOR = 3.84; 95% CI; 1.68, 8.75), cigarette smoking (AOR = 3.83; 95% CI; 1.67-8.81), age (AOR = 4.38 (95% CI: 2.90, 6.62), educational level (AOR = 0.64 (95% CI: 0.44, 0.93), living conditions (AOR = 4.44; 95%CI: 0.73, 26.87), and conflict between parents AOR = 2.50 (95% CI: 1.43, 4.35). Moreover, the age and educational level of the study participants were statistically significant at
< 0.05.
The study concluded that a significant proportion of children who participated in the study experienced sexual abuse and/or substance abuse. Therefore, there should be an intrusion to reverse the prevalent children's sexual and/or substance abuse in the country.
This paper deals with the role of marketing information systems for service quality in Ethiopian industries in terms of their IT infrastructure, data acquisition, information processing, business ...function, and service quality. A quantitative survey of 42 Ethiopian industries in 2009 indicated that most of these industries are dominated by non-computerised information systems. The data acquisition and IT infrastructure strongly support the information process. Information processing significantly and positively predicts both service quality and business function. But the business function that uses processed data and information for its activities - such as planning, decision-making, and implementation - is not found to be a significant predictor of service quality. PUBLICATION ABSTRACT
Abstract Purpose The purpose of this study was to evaluate associations between hormonal therapy for breast cancer and subsequent diabetes incidence. Methods The Surveillance, Epidemiology and End ...Results—Medicare linked data were used. Stage I–III breast cancer patients 65 years or older who filled at least two prescriptions for an aromatase inhibitor (AI) or tamoxifen by the end of 2008, and within 12 months of breast cancer diagnosis, were selected. Women without cancer from a 5% random sample of Medicare beneficiaries were frequency matched to patients by age group, and new onset diabetes was monitored for 24 months postbaseline in both groups of women. Results Cox-proportional hazards analysis failed to show an association between AI use and subsequent diabetes onset after adjusting for age, race, and comorbidity (hazard ratio: 0.99; 95% confidence interval: 0.84–1.18). This study also failed to show an association between tamoxifen use and diabetes onset (hazard ratio: 0.79; 95% confidence interval: 0.54–1.17). Conclusions Study findings provide evidence that postmenopausal AI and tamoxifen users do not experience an increased risk of diabetes in the 2 years after treatment initiation. Whether these findings will hold with longer duration follow-up deserves a closer look.
Purpose
Sleep disturbance may be an overlooked modifiable risk factor for health disparities among African-American breast cancer survivors (AABCS). This study aimed to identify the prevalence of and ...risk factors for sleep disturbance in a cohort of AABCS.
Methods
The study was conducted among participants in the Women’s Circle of Health Follow-up Study, a longitudinal study of breast cancer in 10 counties in New Jersey. Cases were identified shortly after diagnosis by the New Jersey State Cancer Registry. Self-reported sleep disturbance (Pittsburgh Sleep Quality Index) and other factors (e.g., socioeconomic status, menopausal status) were assessed at pre-diagnosis (
n
= 637), 10 months post-diagnosis (
n
= 261), and 24 months post-diagnosis (
n
= 632). Clinical data were obtained via medical record abstraction, and height and weight were measured by study staff.
Results
Most AABCS (57%) reported clinically significant sleep disturbance before diagnosis, and this rate remained largely unchanged at 10 months (53%) and 24 months post-diagnosis (61%). Average sleep disturbance scores indicated clinically significant disturbance at all three assessments (
M
range = 6.67–7.57). Most reported sleeping fewer than the recommended 7 hours per night at each assessment (range 57–65%). Risk factors for sleep disturbance were identified at each assessment, including pre-diagnosis (less education), 10 months post-diagnosis (lack of insurance, treatment with chemotherapy), and 24 months post-diagnosis (younger age, less education, lower income, obesity, and lymphedema). Treatment with endocrine therapy was a protective factor at 10 months post-diagnosis.
Conclusion
Most AABCS report clinically significant sleep disturbance from before diagnosis through 24 months post-diagnosis. These rates appear indicate AABCS experience significant sleep-related disparities.
Exposures to carcinogens in hair products have been explored as breast cancer risk factors, yielding equivocal findings. We examined hair product use (hair dyes, chemical relaxers and cholesterol or ...placenta-containing conditioners) among African American (AA) and White women, and explored associations with breast cancer. Multivariable-adjusted models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) to describe the associations of interest among 2280 cases (1508 AA and 772 White) and 2005 controls (1290 AA and 715 White). Among controls, hair dye use was more common among Whites than AAs (58 versus 30%), while relaxer (88 versus 5%) and deep conditioner use (59 versus 6%) was more common among AAs. Among AAs, use of dark hair dye shades was associated with increased breast cancer risk (OR = 1.51, 95% CI: 1.20-1.90) and use of dark shades (OR = 1.72, 95% CI: 1.30-2.26) and higher frequency of use (OR = 1.36, 95% CI: 1.01-1.84) were associated with ER+ disease. Among Whites, relaxer use (OR = 1.74, 95% CI: 1.11-2.74) and dual use of relaxers and hair dyes (OR = 2.40, 95% CI: 1.35-4.27) was associated with breast cancer; use of dark hair dyes was associated with increased ER+ disease (OR = 1.54, 95% CI: 1.01-2.33), and relaxer use was associated with increased ER- disease (OR = 2.56, 95% CI: 1.06-6.16). These novel findings provide support a relationship between the use of some hair products and breast cancer. Further examinations of hair products as important exposures contributing to breast cancer carcinogenesis are necessary.
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