Older ED patients with two or more risk factors on a simple triage screening tool were found to be at significantly increased risk for subsequent ED use, hospitalization, and nursing home admission.
BackgroundHealth literacy is a multidimensional concept that is considered a primary public health concern. This concept is often neglected in research, and the evidence regarding health literacy in college students is limited. The aim of this study was two-fold: to determine the needs and limitations of health literacy among college students and to explore the relationships among the nine dimensions of health literacy and sociodemographic factors, including age, gender, nationality, year of study, field of study, smoking status, history of chronic diseases, use of on-campus gym, and the intention to exercise on-campus.MethodsThis study was conducted using a cross-sectional approach. A total of 520 college students participated in this study. The average age was 21.03 years (SD = 2.29), with 47.5% males and 52.5% females. Data were collected using a demographics questionnaire and the Health Literacy Questionnaire (HLQ). In addition to descriptive statistics, multivariate analysis of variance (MANOVA) and follow-up analyses were performed to explore any statistically significant mean differences among levels of health literacy and sociodemographic factors.ResultsThe levels of health literacy on the nine HLQ scales were lower than the levels reported in the literature. Multivariate analysis showed a significant effect of age, gender, smoking status, year of study, and field of study on the level of health literacy. Follow-up analyses revealed that female students, students from the health-related faculties, and those who do not smoke have higher levels of health literacy compared to their counterparts. A detailed comparison between the levels of the HLQ scales was made based on students’ demographic characteristics. The field of study had the most prominent effect on the level of college students’ health literacy; mean differences were statistically significant (p < .001), and effect sizes were large (ranging from .66 to 1.35 for the nine scales of the HLQ).ConclusionCollege students’ health literacy is influenced by demographic characteristics. Such variations could amplify some of the existing health disparities. The implications of the findings on health, health promotion, and interprofessional education are discussed.
Risk-adjusted outcomes, in this population, differed between TC and AC settings. Head injury, injury severity, and lack of TC verification are associated with hospital mortality in very elderly trauma patients.
Depressive symptoms negatively impact the lives of HIV-infected individuals and are correlated with faster progression to AIDS. Our embedded mixed methods study examined and described the effects of telephone support on depressive symptoms in a sample of HIV-infected pregnant Thai women. HIV-infected pregnant Thai women (n = 40) were randomly assigned to either the control or the intervention group. A registered nurse provided telephone support to the intervention group. Depressive symptoms were measured at three points in both groups. In-depth interviews were conducted at Time 2 and Time 3. Results show that depressive symptoms in the intervention group decreased over time. Qualitative results describe how telephone support can work, but also reveal that telephone support did not work for everyone. We recommend that a larger mixed methods study be conducted to examine the effects of telephone support on depressive symptoms among HIV-infected women, including the costs and benefits of such support.
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