Koh Jemima, Choon Oh Hong, Zeyen Seah, Lim Steven
Health Services Research, Changi General Hospital, Singapore.
Duke-NUS Medical School, Health Services and Systems Research, Singapore.
West J Emerg Med. 2025 Feb 25;26(3):513-522. doi: 10.5811/westjem.21263.
Healthcare systems typically provide multiple channels to access acute inpatient care, with the emergency department (ED) as the main route of access. The ED faces multifaceted demand and supply challenges, which implicate resource allocation and patient flow. In this study we aimed to identify factors associated with hospital admissions among ED patients in a Singapore tertiary-care hospital.
Using a retrospective cohort study of all eligible visits to a Singapore ED between January 1-December 31, 2019, we conducted a multivariable, mixed-effect logistic regression model to study the factors associated with hospital admissions. The model accounted for patients' demographics; triage category; arrival mode; referral source; time of ED visit; discharge diagnosis; and ED occupancy levels.
In 2019, there were 141,719 visits to the ED, with 42,238 (29.8%) of these visits resulting in hospital admissions. Factors associated with increased odds of hospital admissions included increasing age, being male, ethnicity (Malay vs Chinese), higher patient acuity, non-self-referred patients (vs self-referred), patient being conveyed by ambulances (vs walk-in), and category of disease. Our model demonstrated that the highest odds of inpatient admissions were attributed to the patient's acuity (highest vs lowest acuity: odds ratio [OR] 326, 95% confidence interval [CI] 292-363), followed by patients' age (70 and above vs 30 and below: OR 13.8, 95% CI 12.8-14.8). The ORs for all other factors with significantly increased odds of admissions were modest, ranging from 1.12-4.18. Although the ED occupancy levels at the hour of the patient's disposition decision, the hour of the ED visit, and the month of the ED visit were significantly associated with hospital admissions, changes in the probabilities of hospital admissions across the possible range of values of these factors were marginal.
Our study revealed several factors significantly associated with hospital admissions, with patient acuity and age as the most important factors. Moreover, emergency physicians' decisions to admit patients were clinically consistent and only marginally influenced by the degree of ED crowding. These findings offer invaluable insights into follow-up studies that will be crucial in shaping new policies or designing new interventions to enhance current preventive health or healthcare delivery systems to curtail the growth in inpatient-bed demand among ED patients over time.
医疗保健系统通常提供多种渠道来获得急性住院治疗,其中急诊科(ED)是主要的就诊途径。急诊科面临多方面的需求和供应挑战,这涉及资源分配和患者流程。在本研究中,我们旨在确定新加坡一家三级护理医院急诊科患者中与住院相关的因素。
我们对2019年1月1日至12月31日期间新加坡急诊科所有符合条件的就诊进行回顾性队列研究,采用多变量混合效应逻辑回归模型来研究与住院相关的因素。该模型考虑了患者的人口统计学特征、分诊类别、到达方式、转诊来源、急诊科就诊时间、出院诊断以及急诊科占用水平。
2019年,急诊科共就诊141,719人次,其中42,238人次(29.8%)导致住院。与住院几率增加相关的因素包括年龄增长、男性、种族(马来人与华人)、患者病情严重程度增加、非自行转诊患者(与自行转诊患者相比)、由救护车送来的患者(与步行前来的患者相比)以及疾病类别。我们的模型表明,住院几率最高的归因于患者的病情严重程度(最高病情严重程度与最低病情严重程度:优势比[OR]326,95%置信区间[CI]292 - 363),其次是患者年龄(70岁及以上与30岁及以下:OR 13.8,95%CI 12.8 - 14.8)。所有其他与住院几率显著增加相关因素的OR值适中,范围为1.12 - 4.18。尽管在患者做出处置决定时、急诊科就诊时以及急诊科就诊月份的急诊科占用水平与住院显著相关,但在这些因素的可能取值范围内,住院概率的变化很小。
我们的研究揭示了几个与住院显著相关的因素,其中患者病情严重程度和年龄是最重要的因素。此外,急诊医生收治患者的决定在临床上是一致的,并且仅略微受到急诊科拥挤程度的影响。这些发现为后续研究提供了宝贵的见解,这对于制定新政策或设计新干预措施以加强当前的预防保健或医疗服务系统,随着时间的推移减少急诊科患者对住院床位需求的增长至关重要。