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Aim: The aim of this study is to analyse the risk factors for unplanned readmissions within 1 month after hospital discharge to develop a seamless support system from discharge to home care. Background: With shorter hospital stay lengths, understanding the characteristics of patients with multiple risk factors is important to prevent rehospitalization. Design: This is a single‐centre retrospective descriptive study. Methods: Logistic regression and decision tree analyses were performed using eight items from the records of 3117 patients discharged from a university hospital between April–September 2017 as risk factors. Results: Unplanned readmission risk was significantly associated with emergency hospitalization (odds ratio [OR]: 3.12, 95% confidence interval [CI]: 2.04–4.77), malignancy (OR: 2.16, 95% CI: 1.44–3.24), non‐surgical admission (OR: 1.76, 95% CI: 1.07–2.88), hospital stay of ≥ 15 days (OR: 1.66, 95% CI: 1.14–2.43) and decline in activities of daily living owing to hospitalization (OR: 1.68, 95% CI: 1.06–2.64). The highest risk combinations for rehospitalization were as follows: emergency hospitalization and malignancy; emergency admission, non‐malignancy and a hospital stay of ≥15 days; and scheduled hospitalization, no surgery and a hospital stay of ≥15 days. Conclusions: Patients with multiple risks for unplanned readmission should be accurately screened and provided with optimal home care. Summary statement: What is already known about this topic? Although the characteristics of patients at high risk of rehospitalization include malignancy, heart failure, conditions such as chronic obstructive pulmonary disease and other diseases prone to recurrence, old age, reduced activities of daily living and emergency hospitalization, few studies have reported on cases with multiple risks. What this paper adds? The most frequent risk types for unplanned readmissions within a month were emergency admissions for malignant tumours, emergency admissions for non‐malignant tumours with a hospital stay of 2 weeks or more and scheduled admissions for non‐surgical purposes with a length of stay of 2 weeks or more. The implications of this paper: The risk of unplanned readmission within 1 month of discharge increased due to a combination of multiple risks.This study helps us identify patients who are at high risk for readmission early in the hospitalization process and in providing nursing support for transition to their homes. [ABSTRACT FROM AUTHOR]

Background: In current years, the increase in older population has led to creating one of the main public health challenges, worldwide. Because of the special characteristics of older adults, this age group is exposed to possible problems, such as mental and physical disorders, that usually affect their functional independence. The study aimed to determine the psychosocial determinants (e.g., depression, social support, and self-efficacy) affecting functional independence among older population. Methods: Our search was conducted on three international databases (Web of Sciences, PubMed/Medline, and Scopus) for all the observational studies (cross-sectional, cohort or longitudinal designs) on the social and psychological determinants of functional independence among older adults. Papers published in English without limitation of time were reviewed from inception to 26 August 2023. The quality assessment tool was the Newcastle-Ottawa Scale (NOS). The I2 index was used to quantify the degree of heterogeneity among the studies. In the case of heterogeneity higher than 50%, the random effects model has been used for overall estimation of the effects; otherwise, the fixed effects model was used. The pooled associations were expressed as odds ratio (OR) and 95% confidence intervals (CIs). Stata version 14 software (StataCorp LP) was used for data analysis. The significance level was considered at 0.05. Results: In the initial search, 6978 articles were retrieved, and finally, considering the inclusion criteria, 46 articles were examined. Finally, 18 articles were eligible for meta-analysis. The findings indicated that among all the determinants affecting functional independence among older adults, depression could lead to a 76% increase in functional dependence. Conclusion: The findings provide a statistically significant relationship between psychosocial factors and functional independence. Depression was the strongest determinant of functional dependence among older adults. [ABSTRACT FROM AUTHOR]