Faculty of Economics and Administrative Sciences, Department of Health Care Management, Hacettepe University, Ankara, Turkey.
Faculty of Medicine, Department of General Internal Medicine, Hacettepe University, Ankara, Turkey.
J Nurs Manag. 2018 Sep;26(6):707-716. doi: 10.1111/jonm.12605. Epub 2018 Mar 23.
To determine the variables that affect patients' perceptions about their readiness for discharge and to elucidate the effects of these perceptions on patient outcomes such as unplanned readmission to the hospital, emergency department visits and death within 30 days after discharge.
In recent years, it has become even more important to assess patients' readiness for discharge as patients tend to be discharged more quickly.
For the determination of patients' self-assessment, the Readiness for Hospital Discharge Scale/Short Form was utilized. This 1-year prospective cohort study included 1,601 patients. Data were analysed using a chi-square test, Mann-Whitney U test, univariate logistic regression analysis and multiple logistic regression analysis.
The results of multiple logistic regression analysis revealed that age, sex, marital status, educational status, presence of someone to help at home after discharge and length of stay were predictors of patients' readiness for hospital discharge. Furthermore, being unready for discharge increased the risk of 30 day unplanned readmission and 30 day death.
Considering these predictors, patients' perceptions of readiness for discharge must be assessed before deciding to discharge them.
Nurse managers can consider the predictors of patients' readiness for discharge, thus the risk of unplanned readmission and death may be reduced.
确定影响患者对出院准备情况认知的变量,并阐明这些认知对患者出院后结局的影响,如 30 天内无计划再入院、急诊就诊和死亡。
近年来,评估患者出院准备情况变得尤为重要,因为患者出院速度往往更快。
采用出院准备情况量表/简表来确定患者的自我评估。这项为期 1 年的前瞻性队列研究纳入了 1601 名患者。使用卡方检验、Mann-Whitney U 检验、单因素逻辑回归分析和多因素逻辑回归分析对数据进行分析。
多因素逻辑回归分析的结果表明,年龄、性别、婚姻状况、教育程度、出院后是否有人在家中帮助以及住院时间是患者出院准备情况的预测因素。此外,准备不足出院会增加 30 天内无计划再入院和 30 天内死亡的风险。
考虑到这些预测因素,在决定患者出院之前,必须评估他们对出院准备情况的认知。
护士长可以考虑患者出院准备情况的预测因素,从而降低无计划再入院和死亡的风险。