首页> 外文期刊>Journal of paediatrics and child health >Risk factors associated with 30‐day all‐cause unplanned hospital readmissions at a tertiary children's hospital in Western Australia
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Risk factors associated with 30‐day all‐cause unplanned hospital readmissions at a tertiary children's hospital in Western Australia

机译:在西澳大利亚三级儿童医院的30天全体导致医院预留有关的风险因素

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Aim To identify risk factors associated with 30‐day all‐cause unplanned hospital readmission at a tertiary children's hospital in Western Australia. Methods An administrative paediatric inpatient dataset was analysed retrospectively. Patients of all ages discharged between 1 January 2010 and 31 December 2014 were included. Demographic and clinical information at the index admission was examined using multivariate logistic regression analysis. Results A total of 3330 patients (4.55%) experienced at least one unplanned readmission after discharge. Readmission was more likely to occur in patients who were either older than 16?years (odds ratio (OR) = 1.46; 95% confidence interval (CI) 1.07–1.98), utilising private insurance as an inpatient (OR = 1.16; 95% CI 1.00–1.34), with greater socio‐economic advantage (OR = 1.20; 95% CI 1.02–1.41), admitted on Friday (OR = 1.21; 95% CI 1.05–1.39), discharged on Friday/Saturday/Sunday (OR = 1.26, 95% CI 1.10–1.44; OR = 1.34, 95% CI 1.15–1.57; OR = 1.24, 95% CI 1.05–1.47, respectively), with four or more diagnoses at the index admission (OR = 2.41; 95% CI 2.08–2.80) or hospitalised for 15?days or longer (OR = 2.39; 95% CI 1.88–2.98). Area under receiver operating characteristic curve of the predictive model is 0.645. Conclusions A moderate discriminative ability predictive model for 30‐day all‐cause same hospital readmission was developed. A structured discharge plan is suggested to be commenced from admission to ensure continuity of care for patients identified as being at higher risk of readmission. A recommendation is made that a designated staff member be assigned to co‐ordinate the plan, including assessment of patients' and primary carers' readiness for discharge. Further research is required to establish comprehensive paediatric readmission rates by accessing linkage data to capture different hospital readmissions.
机译:旨在识别与在西澳大利亚三级儿童医院的30天内所有导致的全体意外医院入院的风险因素。方法回顾性分析行政小儿住院性数据集。包括2010年1月1日至2014年12月31日之间的所有年龄段的患者。使用多变量逻辑回归分析检查指数入院的人口和临床信息。结果共有3330名患者(4.55%)在出院后至少有一个意外的再入院。在超过16岁的患者中更容易发生一次(差价比(或)= 1.46; 95%置信区间(CI)1.07-1.98),利用私人保险作为住院生(或= 1.16; 95% CI 1.00-1.34),社会经济优势更大(或= 1.20; 95%CI 1.02-1.41),周五(或= 1.21; 95%CI 1.05-1.39),周五/星期六/星期日(或= 1.26,95%CI 1.10-1.44;或= 1.34,95%CI 1.15-1.57;或= 1.24,95%CI 1.05-1.47,在指数入院(或= 2.41; 95 %CI 2.08-2.80)或住院15?天或更长(或= 2.39; 95%CI 1.88-2.98)。在接收器下的区域,预测模型的操作特性曲线为0.645。结论开发了30天的适度鉴别能力预测模型,并制定了同一医院入院。建议将结构化放弃计划从入场开始,以确保患者被确定为更高的入院风险的患者的关切。建议,指定的工作人员被指定为协调计划,包括评估患者和初级护理人员的储存。需要进一步的研究来通过访问联系数据来建立全面的儿科休息率,以捕获不同的医院入院。

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