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在一个安全网医疗系统中实施门诊传染病电子会诊

Implementation of Outpatient Infectious Diseases E-Consults at a Safety Net Healthcare System.

作者信息

Medford Richard J, Granger Madison, Pickering Madison, Lehmann Christoph U, Mayorga Christian, King Helen

机构信息

Division of Infectious Diseases and Geographic Medicine, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

University of Texas Southwestern Medical School, Dallas, Texas, USA.

出版信息

Open Forum Infect Dis. 2022 Jul 18;9(7):ofac341. doi: 10.1093/ofid/ofac341. eCollection 2022 Jul.

Abstract

BACKGROUND

Safety net healthcare systems have high patient volumes and significant demands for specialty care including infectious diseases (ID) consultations. Electronic ID consults (E-consults) can lessen this burden by providing an alternative to face-to-face ID referrals and decreasing financial, time, and travel constraints on patients. This system could increase access to ID care for patients in limited-resource settings.

METHODS

We described characteristics of all outpatient ID E-consults at Parkland Health in Dallas, Texas, from March 2018 to February 2021. We used modeling to determine which characteristics influenced conversion of E-consults to clinic visits and integrated these data into a predictive model for face-to-face conversion.

RESULTS

For 725 E-consults, common E-consult topics included 118 (16%) latent tuberculosis, 116 (16%) syphilis, and 76 (10%) gastrointestinal infections. Nearly two-thirds of E-consults (456 [63%]) were requested by primary care providers. The majority (78%) were resolved without a face-to-face ID visit. Osteomyelitis, nontuberculous mycobacterial, and gastrointestinal questions frequently required face-to-face visits at rates of 65%, 49%, and 32%, respectively. Our logistic regression model predicted the need for a face-to-face visit with 80% accuracy and an area under the receiver operating characteristic curve of 0.72.

CONCLUSIONS

An outpatient ID E-consult program at a safety net healthcare system was an effective tool to provide timely input on common ID topics. E-consults were requested by a range of providers, and most were completed without a face-to-face visit. Predictive modeling identified important characteristics of E-consults and predicted conversion to face-to-face visits with reasonable accuracy.

摘要

背景

安全网医疗系统患者数量众多,对包括传染病(ID)会诊在内的专科护理有大量需求。电子ID会诊(电子会诊)可通过提供面对面ID转诊的替代方式并减少患者的经济、时间和交通限制来减轻这一负担。该系统可增加资源有限环境下患者获得ID护理的机会。

方法

我们描述了2018年3月至2021年2月在德克萨斯州达拉斯市帕克兰健康中心进行的所有门诊ID电子会诊的特征。我们使用建模来确定哪些特征影响电子会诊转化为门诊就诊,并将这些数据整合到面对面转化的预测模型中。

结果

对于725次电子会诊,常见的电子会诊主题包括118例(16%)潜伏性结核、116例(16%)梅毒和76例(10%)胃肠道感染。近三分之二的电子会诊(456例[63%])由初级保健提供者提出。大多数(78%)在没有进行面对面ID就诊的情况下得到解决。骨髓炎、非结核分枝杆菌和胃肠道问题经常需要面对面就诊,比例分别为65%、49%和32%。我们的逻辑回归模型预测面对面就诊需求的准确率为80%,受试者工作特征曲线下面积为0.72。

结论

安全网医疗系统的门诊ID电子会诊计划是就常见ID主题提供及时意见的有效工具。一系列提供者都提出了电子会诊请求,大多数在没有面对面就诊的情况下完成。预测建模确定了电子会诊的重要特征,并以合理的准确率预测了转化为面对面就诊的情况。

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