社会人口统计学和临床因素、就诊期望和非并发症上呼吸道感染急诊就诊的驱动因素。

Emergency medicine journal : EMJ Pub Date : 2022-06-01 Epub Date: 2021-12-23 DOI:10.1136/emermed-2021-211718
Angela Chow, Bryan Keng, Huiling Guo, Aung Hein Aung, Zhilian Huang, Yanyi Weng, Hou Ang
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引用次数: 1

摘要

背景:上呼吸道感染(URTIs)占非紧急急诊科就诊人数的很大一部分。因此,我们使用混合方法探讨了这种出勤率的原因。方法:我们采访了2016年6月至2018年11月在新加坡第二繁忙的成人急诊科就诊的成人尿路感染患者,了解他们的期望和就诊原因。使用了一份结构化问卷,其中包含一个开放式问题。利用Andersen的医疗保健利用行为模型,将急诊科就诊的主要原因分为(1)环境诱发因素(初级保健医生、家人、朋友或同事的转诊),(2)环境促成因素(便利、可及性、就业要求),(3)个人促成因素(个人偏好和对医院感知到的护理质量和效率的信任)和(4)个人需求(感知到的疾病严重程度和无改善)。使用多变量多项逻辑回归来评估社会人口学与临床因素、患者对急诊科就诊的期望以及急诊科就诊的驱动因素之间的关系。结果:队列中有717例患者。参与者的平均年龄为40.5岁(SD 14.7), 61.2%为男性,66.5%无合并症,40.7%受过高等教育。其中一半(52.4%)曾寻求过医疗咨询,并期望进行实验室检查(55.7%)和放射检查(46.9%)。个人需求(32.8%)和促成因素(25.1%)是ED出勤的主要驱动因素。与环境因素导致的急诊科就诊人数相比,其他司机导致的急诊科就诊人数更有可能是年龄≥45岁、先前有医疗咨询和预期的放射检查。先前存在的疾病(调整后的OR (aOR) 1.78, 95% CI 1.05至3.04)和对实验室检查的期望(aOR 1.64, 95% CI 1.01至2.64)与个体需求相关,而未受过高等教育(aOR 2.04, 95% CI 1.22至3.45)和先前存在的合共病(aOR 1.79, 95% CI 1.04至3.10)与个体推动因素相关。结论:满足感知疾病严重程度或无改善的个体需求是尿路感染患者急诊科就诊的最主要驱动因素,而环境因素(如便利性)是最低的驱动因素。患者的社会人口学和临床因素以及访问期望影响他们的急诊科就诊动机。解决这些因素和期望,可以缓解急诊科服务的过度使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sociodemographic and clinical factors, visit expectations and driving factors for emergency department attendance for uncomplicated upper respiratory tract infection.

Background: Upper respiratory tract infections (URTIs) account for substantial non-urgent ED attendances. Hence, we explored the reasons for such attendances using a mixed-methods approach.

Methods: We interviewed adult patients with URTI who visited the second busiest adult ED in Singapore from June 2016 to November 2018 on their expectations and reasons for attendance. A structured questionnaire, with one open-ended question was used. Using the Andersen's Behavioural Model for Healthcare Utilisation, the topmost reasons for ED attendances were categorised into (1) contextual predisposing factors (referral by primary care physician, family, friends or coworkers), (2) contextual enabling factors (convenience, accessibility, employment requirements), (3) individual enablers (personal preference and trust in hospital-perceived care quality and efficiency) and (4) individual needs (perceived illness severity and non-improvement). Multivariable multinomial logistic regression was used to assess associations between sociodemographic and clinical factors, patient expectations for ED visits and the drivers for ED attendance.

Results: There were 717 patients in the cohort. The mean age of participants was 40.5 (SD 14.7) years, 61.2% were males, 66.5% without comorbidities and 40.7% were tertiary educated. Half had sought prior medical consultation (52.4%) and expected laboratory tests (55.7%) and radiological investigations (46.9%). Individual needs (32.8%) and enablers (25.1%) were the main drivers for ED attendance. Compared with ED attendances due to contextual enabling factors, attendances due to other drivers were more likely to be aged ≥45 years, had prior medical consultation and expected radiological investigations. Having a pre-existing medical condition (adjusted OR (aOR) 1.78, 95% CI 1.05 to 3.04) and an expectation for laboratory tests (aOR 1.64, 95% CI 1.01 to 2.64) were associated with individual needs while being non-tertiary educated (aOR 2.04, 95% CI 1.22 to 3.45) and having pre-existing comorbidities (aOR 1.79, 95% CI 1.04 to 3.10) were associated with individual enablers.

Conclusions: Meeting individual needs of perceived illness severity or non-improvement was the topmost driver of ED visits for URTI, while contextual enabling factors such as convenience was the lowest. Patients' sociodemographic and clinical factors and visit expectations influence their motivations for ED attendances. Addressing these factors and expectations can alleviate the overutilisation of ED services.

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