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Anxiety sensitivity, distress tolerance, and emotion regulation difficulties have each demonstrated significant individual associations with problematic alcohol use and negative reinforcement motives for alcohol use among college students. However, extant research has yet to examine these three factors simultaneously with regard to the possibility of differential associations with alcohol consumption, alcohol-related problems and coping and conformity motives for alcohol use. As such, the present study sought to examine whether such differential associations exist within a sample of undergraduates reporting past year alcohol use.
Participants were 379 undergraduate students reporting alcohol use in the past year who completed self-report measures for course credit.
After controlling for the effects of sex, lifetime marijuana use status, and negative affectivity, greater anxiety sensitivity social concerns and difficulties with emotional awareness were associated with more alcohol-related problems. Greion regulation difficulties (i.e., impulse control, emotional clarity, emotional awareness) may be particularly problematic because they are associated with alcohol-related problems and negative reinforcement motives for use among undergraduates.A growing body of literature suggests that contraceptives' impact on sexual experiences influences willingness to initiate and continue with a method. Little is known, however, about how clinicians engage with clients on this topic during contraceptive consultations. Fifteen clinicians in South Eastern Australia participated in semi-structured interviews between April and June 2019. Interviews were analysed using inductive, semantic thematic analysis. Participants varied in their evaluation and management of contraceptives' sexual side effects and the legitimacy given to women's bodily experience versus their own understanding of the evidence in the medical literature. We identified two distinct groups of clinicians those who prioritised sexual wellbeing as a primary issue in contraceptive consultations and those who perceived sexual wellbeing as a secondary concern. The difference in practices was influenced by whether participants considered sexual wellbeing to be part of holistic care provision and their views on the clinician's role in raising the topic. Strategies to equip clinicians to integrate sexual wellbeing into contraceptive consultations include interactive clinical training and incorporating information about sexual side effects into contraceptive guidelines and client resources. Benefits gained from normalising sexual wellbeing could extend beyond contraceptive care to help clinicians address clients' sexual wellbeing in other contexts.Background Clinical studies of telemedicine (TM) programs for chronic illness have demonstrated mixed results across settings and populations. With recent uptake in use of digital health modalities, more precise patient classification may improve outcomes, efficiency, and effectiveness. Objective The purpose of the research was to develop a predictive score that measures the influence of patient characteristics on TM interventions. selleck inhibitor The central hypothesis is that disease type, illness severity, and the social determinants of health influence outcomes, including resource utilization, and can be precisely characterized. Methods The retrospective study evaluated the feasibility of creating a patient "Telemedicine ImPact" (TIP) score derived from a Virginia Medicare and Medicaid claims data set. Claims were randomly selected, stratified by disease type, and matched by illness severity into a TM intervention group (N = 7,782) and a nontelemedicine "usual care" control cohort (N = 7,981). The individual records wereservices, adjusted for patient differences. Conclusions The creation of a patient score using machine learning to predict the effect of TM on outcomes is feasible. Adoption of the TIP score may reduce variability in results by more precisely accounting for the effects of patient characteristics on health outcomes and utilization. More consistent outcome prediction may lead to greater support for digital health.Online supplemental material is available for this article.Background Local tumor progression (LTP) is associated with poorer survival in patients undergoing radiofrequency ablation (RFA) for colorectal liver metastasis (CLM). An algorithmic strategy to predict LTP may help in selection of patients who would benefit most from RFA for CLM. Purpose To estimate local tumor progression-free survival (LTPFS) following RFA of CLM and develop an algorithmic strategy based on clinical variables. Materials and Methods In this retrospective study, between March 2000 and December 2014, patients who underwent percutaneous RFA for CLM were randomly split into development (60%) and internal validation (40%) data sets. Kaplan-Meier method was used to estimate LTPFS and overall survival (OS) rates. Independent factors affecting LTPFS in the development data set were investigated by using multivariable Cox proportional hazard regression analysis. Risk scores were assigned to the risk factors and applied to the validation data set. Results A total of 365 patients (mean age, 60 years ±er predicted local tumor progression-free survival. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Soulen and Sofocleous in this issue.Background There is lack of guidance on specific CT protocols for imaging patients with coronavirus disease 2019 (COVID-19) pneumonia. Purpose To assess international variations in CT utilization, protocols, and radiation doses in patients with COVID-19 pneumonia. Materials and Methods In this retrospective data collection study, the International Atomic Energy Agency coordinated a survey between May and July 2020 regarding CT utilization, protocols, and radiation doses from 62 health care sites in 34 countries across five continents for CT examinations performed in patients with COVID-19 pneumonia. The questionnaire obtained information on local prevalence, method of diagnosis, most frequent imaging, indications for CT, and specific policies on use of CT in COVID-19 pneumonia. Collected data included general information (patient age, weight, clinical indication), CT equipment (CT make and model, year of installation, number of detector rows), scan protocols (body region, scan phases, tube current and potential), and radiation dose descriptors (CT dose index and dose length product).
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