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Showing 3 results for Readmission

Leila Vali, Reza Goudarzi, Golnaz Azari, Rahil Ghorbani Nia,
Volume 78, Issue 7 (10-2020)
Abstract

Background: Currently many hospitals around the country face increasing demands of their patients and readmission.The rate of readmission is a useful indicator for determining the performance of healthcare system and it shows the quality of services in the medical institutions. Readmissions have high economic, social and financial impact and studying the related factors seems to be high priority for healthcare systems.
Methods: This qualitative study performed by phenomenological method in three educational hospitals in Kerman from April to September of 2017. Data collection was performed through semi-structured interviews using targeted sampling among all patients who were hospitalized at internal medicine wards, nurses who were working in those wards, and in charge physicians. In total twenty patients, fifteen nurses, and five physicians were selected for interviews. The including criteria were for patients, the history of hospitalization at least once, during one month after the initial hospitalization, and for service providers, familiarity with the subject, work experience in the relevant department of at least three years for nurses and five years for physicians. A seven-step clustering method was used to analyze the data.
Results: The analysis of the interviews led to the identification of three main themes and 11 sub-themes. The main themes included patients' characteristics, manpower and clinical factors, hospital, and environmental factors. Some of the sub-codes included economic and living conditions, marriage status, insurance coverage, patients' beliefs and expectations, the presence or absence of underlying disease, education, lifestyle habits, dietary beliefs of hospitalized patients, lack of trust in medical staff, communication and cultural barriers, ignorance of service providers in treatment, lack of facilities, lack of motivation in medical staff, stressors and finally lack of hospital equipment.

Mohammad Rajabpour, Abbas Heidary , Kavian Ghandehari , Amir Mirhaghi,
Volume 81, Issue 10 (1-2024)
Abstract

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.

Somayeh Abbaspour , Hassan Karimi, Maryam Farzaneh , Zahra Karimi , Shirin Azizidoost ,
Volume 83, Issue 7 (10-2025)
Abstract

Background: The duration of hospitalization of patients is considered an important indicator in health resource management and patient evaluation. This study investigated the frequency and causes of readmission in cardiovascular patients
Methods: This was a retrospective study of 105 patients with cardiovascular diseases referred to Imam Khomeini Hospital in Ahvaz who were readmitted from April 2024 until August 2024 within 30 days after discharge due to recurrence of symptoms. Demographic (including age and gender) and clinical information (including duration of hospitalization, regular medication use, regular physician visits, disease diagnosis and dietary adherence) of the patients was extracted from electronic records using a researcher-made checklist.
Results: From 105 patients, 43 (41%) were admitted in the first trimester and 62 (59%) in the second trimester. The mean age of patients in the first trimester was higher than in the second trimester with a statistically significant association with readmission (P=0.038). Most patients were male and their number was higher in the second trimester than in the first trimester and a statistically significant association was observed between the gender of patients with readmission in the first trimester compared to the second trimester (P=0.015). 72 patients with acute coronary syndrome (68.6%) and 33 patients with heart failure (31.4%) were readmitted. The mean length of stay in the first trimester was 1.6 ± 1.15 days and 2.9 ± 2.7 days in the second trimester. A significant association was observed between the duration of hospitalization and readmission (P=0.003). However, no association was observed between regular medication use and regular physician visits in readmitted patients. However, a significant association was observed between dietary adherence in readmitted patients (P=0.045).
Conclusion: Readmission of cardiovascular patients follows a seasonal pattern and is associated with factors such as age, sex, length of stay, and dietary adherence. Routine disease management measures are not sufficient to counteract these effects, and targeted educational programs are necessary at the threshold of high-risk periods.
 


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