Brady Gertsen (suitpatio22)

9. Few of the residents felt that they had received education regarding death diagnoses; they reported difficulties with diagnosing death and responding to patients' families. After the lecture using our guidebook, residents' mind changed significantly for death diagnosis, suggesting that the guidebook at the time of death diagnosis may be useful. Few of the residents felt that they had received education regarding death diagnoses; they reported difficulties with diagnosing death and responding to patients' families. After the lecture using our guidebook, residents' mind changed significantly for death diagnosis, suggesting that the guidebook at the time of death diagnosis may be useful. To provide a resource to educate clinical decision makers about the analyses and models that can be employed to support data-driven choices. Published studies and literature regarding decision analysis, decision trees, and models used to support clinical decisions. Decision models provide insights into the evidence and its implications for those who make choices about clinical care and resource allocation. Decision models are designed to further our understanding and allow exploration of the common problems that we face, with parameters derived from the best available evidence. Analysis of these models demonstrates critical insights and uncertainties surrounding key problems via a readily interpretable yet quantitative format. This 11th installment of the Evidence-Based Medicine in Otolaryngology series thus provides a step-by-step introduction to decision models, their typical framework, and favored approaches to inform data-driven practice for patient-level decisions, as well as comparative assessments of proposed health interventions for larger populations. Information to support decisions may arise from tools such as decision trees, Markov models, microsimulation models, and dynamic transmission models. These data can help guide choices about competing or alternative approaches to health care. Methods have been developed to support decisions based on data. Understanding the related techniques may help promote an evidence-based approach to clinical management and policy. Methods have been developed to support decisions based on data. Understanding the related techniques may help promote an evidence-based approach to clinical management and policy.Previous studies have shown the importance of focusing on the cultural background of migrant patients in the psychiatric assessment. The Cultural Formulation Interview (CFI) offers a patient-focused approach to foreground the cultural context of the patient in the clinical encounter. Our objective was to explore the acceptability and clinical utility of the CFI for physicians and its acceptability for migrant patients seen at a transcultural mental health clinic in Denmark. In this study, the CFI was used in a second session following the standard clinical assessment to explore what additional information was gained from the CFI. Data on the use of the CFI data were collected immediately after the interview with questionnaires for medical doctors (MDs) (N = 12) and patients (N = 71). The findings showed that the CFI, in addition to standard assessment, was useful to the MDs for planning the treatment (60.0%) and for exploring the patients' view on their cultural and social context (74.7%), but less so for the diagnostic process (9.9%). Patients reported high overall satisfaction with the CFI (93.0%) and viewed it as a welcome opportunity to tell their story. The findings add to existing knowledge on the CFI in terms of acceptability for patients of a primarily Middle Eastern origin and patients using an interpreter during the CFI session. Based on the findings of this study, the CFI is recommended to clinicians for treatment planning purposes and for exploring the cultur