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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]

Aim: This study aimed to develop a model to help parents cope with decisional conflict. Background: Parents of children with congenital heart defect experience decisional conflict when they are uncertain about treatment decisions for their child, which may lead to delay in seeking care or distress over the decision made. Design: Correlational design with model building and data triangulation was used. Methods: Data were collected through surveys and interviews with a consecutive sample of 221 parent respondents from June to December 2018. Structural equation modelling and qualitative data analysis were used. Results: Lower decisional conflict was seen in parents with higher income, more nurse support and physician risk communication. Time delay for surgery was correlated with the child's age, social service coverage, and social support. Decisional conflict mediated the influence of income, nurse support and physician risk communication on satisfaction with decision. Based on model fit parameters, the emerging model is a good and parsimonious model of decisional conflict. The overall theme, 'Deciding for Surgery: What Matters Most', described the processes parents went through in making treatment decisions. Conclusion: Nurses may help parents feel more certain, less conflicted, and more satisfied with their decision by addressing factors including knowledge gaps, personal values, available support, and resource access. Summary statement: What is already known about this topic? Decisional conflict occurs when parents are uncertain of the best action for their child because treatment options entail risks for undesirable outcomes, value compromise, unclear prognosis, or anticipated regret over the decision.Professional support, information, and communication are vital to parents' decision‐making process.Child, parent, and support factors may influence parent treatment decisions in varied paediatric conditions. What this paper adds? Child's age at the time of decision‐making had an effect on the delay in surgery. However, assisting parents to weigh their options and focus on personal values allowed them to make their treatment decision.Low income, costly health services, and bureaucratic processes impeded the timely availment of surgery. Healthcare reforms that provide a system of government funding, streamlined health structure, and social insurance may be looked into.Family support weighed in on the parents' decision to delay surgery for fear of blame or guilt. Providing relevant information enabled parents to make a choice and stand by their decision regardless of the outcome. The implications of this paper: Modelling provides a framework to identify which factors are more important and how they interact to affect decision‐making. It may be used as an approach to find solutions to clinical problems for groups with different diagnoses.Though nursing support, information, and communication are essential, a more holistic family nursing care approach may be considered to assist parents to make appropriate treatment decisions for their child.Familiarity with the healthcare system may equip nurses to aid parents in processing available healthcare funding and dealing with financial uncertainty affecting decisions for their child's treatment. [ABSTRACT FROM AUTHOR]