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Background: Despite advances in medical treatments, readmission of stroke patients remains high and has been reported between 31% and 56.1% during the first year after discharge. The difference between the risk factors of readmission and the risk factors of stroke is not clear. The purpose of this study is: 1) to determine the preventable risk factors associated with stroke readmission and 2) to provide a conceptual model for preventable factors that effective in the readmission of stroke patients. Methods: This integrated review was performed according to Whittemore and Knafl (2005) method in five stages including problem identification, literature search, data evaluation, data analysis, and presentation. In order to find relevant articles, PubMed, Web of Science, CINAHL, Scopus databases and Google Scholar search engine were searched. The search was conducted using the keywords "stroke," "readmission," "recurrence," "re-hospitalization," "review," and "systematic review," for the period between January 2023 and September 2023, following the PRISMA guidelines. In addition to providing a qualitative synthesis of readmission factors categorized into categories, a conceptual model of these factors was also presented. Results: Out of a total of 3785 article titles, 38 articles were included in the study for the final analysis after screening and removing duplicates. The most important risk factors for readmission in four categories: (1) knowledge deficit about the comorbidities (such as hypertension, atrial fibrillation, diabetes), (2) unhealthy diet and medicine, (3) high-risk behaviors (smoking, alcohol consumption, and tobacco use disorder), and (4) psychological distress (depression and worry about the future). In addition, the conceptual model showed that the most important preventable factor in readmission of stroke patients is of knowledge deficit about comorbidities (especially hypertension). Conclusion: The most important preventable risk factors that are effective in the readmission of stroke patients are knowledge deficit regarding clinical risk factors, especially high blood pressure, high-risk behaviors and unhealthy diet and medicine. Therefore, more detailed care and follow-up programs should be designed for stroke patients after discharge.

Background: The Emergency Severity Index (ESI) may not recognize high-risk patients with heart failure (HF) efficiently.Aim: This study aimed to compare the diagnostic validity and mistriage rates of the ESI plus the Capnometer (Capno) and ESI alone among dyspneic patients with HF.Method: This quasi-experimental group (random assignment) study was conducted within April 2019-February 2020. Patients were randomly assigned to the ESI+Capno and ESI groups. Triage levels, resources used, disposition and door to an electrocardiogram, and physician visit were compared among patients admitted to the Cardiac Care Unit (CCU), the Cardiac Unit (CU), or discharged from the ED. Interobserver agreement (Kappa) was used to assess the reliability of the ESI.Results: In this study, 65 HF patients were assigned to the ESI+Capno (n=36) and ESI (n=29) groups. The undertriage rates were 0% and 10% and the overtriage rates were 10% and 31% in the ESI+Capno and ESI groups, respectively. Sensitivity, specificity, and accuracy to recognize high-risk HF patients were 100%, 60%, and 90% for the ESI+Capno group and 62.5%, 42.86%, and 48.36% for the ESI group.Implications for Practice: The addition of Capno to the ESI increased the validity of triage decisions to recognize high-risk HF patients, compared to the ESI alone. It is recommended that decisions regarding triage HF patients be made after that an End-tidal Co2 is considered into the decision-making process.

Introduction: Increased volunteers for postgraduate education have expanded competition. It has been a serious challenge for both participants and educational managers to be prepared for postgraduate entrance exam. This study aims to explain the process of preparing for postgraduate entrance exam among nursing postgraduate students based on expectancy theory. Methods: This study used directed qualitative content analysis based on expectation theory by semi- structured interviews. Ten participants among nursing postgraduate students were selected by purposeful sampling. Data analysis was conducted by content analysis. Results: After data analysis, four themes have emerged include self-efficacy, precept, firm effort and self-esteem. In directed approach, self-efficacy and self-esteem were related to expectancy. As well, valence and firm effort and counseling were related to instrumentality. “Self” was the most central concept in data analysis related to educational achievement. Conclusion: Necessity for reaching to the appropriate level of performance in nursing postgraduate entrance exam requires broad instruction for diverse skills critical for enhancing “Self” in student. Therefore student-centered learning approaches are recommended.