Agency for Healthcare Research & Quality, Rockville, MD 20850, USA.
Med Care. 2012 Oct;50(10):863-9. doi: 10.1097/MLR.0b013e31825f2840.
Policymakers are exploring ways to reduce readmission rates. Much attention has been given to readmissions for conditions such as heart failure, acute myocardial infarction, and pneumonia, but little attention has been given to readmissions of patients with injury-related index admissions.
This analysis is a retrospective cohort study of elderly persons who are admitted to a community hospital for a principal diagnosis of injury. We use 2006 Healthcare Cost and Utilization Project State Inpatient Databases and State Emergency Department Databases from 11 States. With logistic regression we identify factors associated with a 30-day, all-cause inpatient readmission. Factors include: patient characteristics, injury characteristics, clinical experiences during the hospital stay, and hospital characteristics.
About 1 in 7 elderly patients with an injury-related admission were readmitted in 30 days (13.7%). We found that severe injuries had higher predicted readmission rates. Patients receiving transfusions, experiencing a Patient Safety Indicator event, and with infections had higher readmission rates. Patients discharged to nursing homes or home health care had higher readmission rates compared with patients discharged to the community.
This study expands evidence for the influence of injury characteristics on readmission rates. It also provides evidence about hospital experiences that affect readmissions. These findings suggest that a focus on preventing complications during the hospital stay may help reduce hospital-specific readmissions for patients with injury-related conditions. It also suggests that a strategy to reduce readmission rates should not only focus on hospitals but also nursing homes and home health care.
政策制定者正在探索降低再入院率的方法。人们对心力衰竭、急性心肌梗死和肺炎等疾病的再入院问题给予了大量关注,但对与损伤相关的主要诊断入院患者的再入院问题关注较少。
本分析是对入住社区医院的老年患者因损伤主要诊断入院的回顾性队列研究。我们使用了来自 11 个州的 2006 年医疗保健成本和利用项目州住院数据库和州急诊部数据库。采用逻辑回归分析确定与 30 天全因住院再入院相关的因素。这些因素包括:患者特征、损伤特征、住院期间的临床经历和医院特征。
约 1/7 的老年损伤相关入院患者在 30 天内再次入院(13.7%)。我们发现严重损伤的患者再入院率预测值较高。接受输血、发生患者安全指标事件以及存在感染的患者再入院率较高。与社区出院的患者相比,出院至疗养院或家庭保健的患者再入院率较高。
本研究扩展了损伤特征对再入院率影响的证据。它还提供了有关影响再入院的医院经历的证据。这些发现表明,关注住院期间并发症的预防可能有助于降低与损伤相关疾病患者的医院特定再入院率。这也表明,降低再入院率的策略不仅应关注医院,还应关注疗养院和家庭保健。