Department of Emergency Medicine, Gold Coast Hospital and Health Service, Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia.
Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia.
Intern Med J. 2020 May;50(5):572-581. doi: 10.1111/imj.14441.
Dedicated geriatric models of care are becoming more prevalent due to the complexity of, and increase in, acute healthcare presentations for older patients. For older people, a long stay in the emergency department (ED) may reflect the complexity of their presentation, or deficiencies in systems that manage these complexities.
To identify predictors of a long ED length of stay (LLoS) for patients ≥65 years old.
Linked hospital information systems data from a large, public Australian ED were analysed in this retrospective cohort study. LLoS was defined as the 75th percentile (617 min). Multivariate regression identified LLoS predictors for admissions and discharges separately.
Of 16 791 ED presentations made by older people, 4192 experienced a LLoS; 55% were admitted. Increasing age was associated with an increasing ED LoS. Factors most predictive of LLoS for both admitted and discharged patients included: investigations (both pathology and imaging), less urgent Australasian triage scale categories and after-hours arrival. Ambulance arrival did not increase the risk of a LLoS for patients eventually admitted, but conferred nearly a twofold increased risk for a LLoS for discharged older persons (adjusted odds ratios = 1.9; 95% confidence interval 1.5-2.4).
This study assists clinicians and decision-makers to identify reasons why older persons have a LLoS, whether admitted or discharged. Interventions to streamline care for older patients arriving after-hours and who require imaging and pathology are required. LoS targets should consider age distribution. The use of ED LoS as a quality of care indicator should be assessed for admissions and discharges, separately.
由于老年患者急性医疗就诊的复杂性和数量增加,专门的老年护理模式越来越普遍。对于老年人来说,在急诊部(ED)停留时间长可能反映了他们就诊的复杂性,或者是管理这些复杂性的系统存在缺陷。
确定≥65 岁患者 ED 住院时间延长(LLoS)的预测因素。
这项回顾性队列研究分析了来自澳大利亚一个大型公立 ED 的医院信息系统的相关数据。将 LLoS 定义为第 75 百分位数(617 分钟)。多变量回归分析分别确定了入院和出院患者的 LLoS 预测因素。
在 16791 名老年 ED 就诊患者中,有 4192 名患者经历了 LLoS;其中 55%被收治入院。年龄越大,ED LoS 越长。对于入院和出院患者,最能预测 LLoS 的因素包括:检查(包括病理和影像学检查)、较不紧急的澳大利亚分诊量表类别以及夜间就诊。救护车到达并不会增加最终入院患者 LLoS 的风险,但对于出院的老年患者,这种风险几乎增加了两倍(调整后的优势比=1.9;95%置信区间 1.5-2.4)。
本研究有助于临床医生和决策者识别导致老年患者 ED LoS 延长的原因,无论他们是否入院。需要采取措施简化夜间就诊且需要影像学和病理学检查的老年患者的治疗流程。LoS 目标应考虑年龄分布。应分别评估 ED LoS 作为入院和出院患者的护理质量指标的适用性。