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一款用于预防医护人员在医院内传播新冠病毒的早期预警移动健康筛查与风险评分应用程序:开发与可行性研究。

An Early Warning Mobile Health Screening and Risk Scoring App for Preventing In-Hospital Transmission of COVID-19 by Health Care Workers: Development and Feasibility Study.

作者信息

Mbiine Ronald, Nakanwagi Cephas, Lekuya Herve Monka, Aine Joan, Hakim Kawesi, Nabunya Lilian, Tomusange Henry

机构信息

Makerere University College of Health Sciences, Kampala, Uganda.

Mulago National Referral Hospital, Kampala, Uganda.

出版信息

JMIR Form Res. 2021 Dec 17;5(12):e27521. doi: 10.2196/27521.

Abstract

BACKGROUND

Hospitals have been identified as very high-risk places for COVID-19 transmission between health care workers and patients who do not have COVID-19. Health care workers are the most at-risk population to contract and transmit the infection, especially to already vulnerable patients who do not have COVID-19. In low-income countries, routine testing is not feasible due to the high cost of testing; therefore, presenting the risk of uncontrolled transmission within non-COVID-19 treatment wards. This challenge necessitated the development of an affordable intermediary screening tool that would enable early identification of potentially infected health care workers and for early real time DNA-polymerase chain reaction testing prioritization. This would limit the contact time of potentially infected health care workers with the patients but also enable efficient use of the limited testing kits.

OBJECTIVE

The aims of this study are to describe an early warning in-hospital mobile risk analysis app for screening COVID-19 and to determine the feasibility and user-friendliness of the app among health care workers.

METHODS

The primary result of this research project was the development of a mobile-based daily early warning system for in-hospital transmission of COVID-19. Overall, the Early Warning System for In-Hospital Transmission of COVID-19 (EWAS) mobile app was found to be feasible, with over 69% of the health care workers having logged more than 67% of the required times. Over 93% of the participants reported that the tool was easy to use.

RESULTS

The primary result of this research project was the development of a mobile-based daily early warning system for in-hospital transmission of COVID-19. Overall, the Early Warning System for In-Hospital Transmission of COVID-19 (EWAS) mobile app was found to be feasible, with 69% of the health care workers (69/100) having logged more than 67% of the required times. Of the 100 participants, 93 reported that the tool was easy to use.

CONCLUSIONS

The EWAS mobile app is a feasible and user-friendly daily risk scoring tool for preventing in-hospital transmission of COVID-19. Although it was not designed to be a diagnostic tool but rather a screening tool, there is a need to evaluate its sensitivity in predicting persons likely to have contracted COVID-19.

摘要

背景

医院已被认定为医护人员与未感染新冠病毒的患者之间新冠病毒传播的高风险场所。医护人员是感染和传播该病毒的最高风险人群,尤其是对于那些本就脆弱且未感染新冠病毒的患者。在低收入国家,由于检测成本高昂,常规检测并不可行;因此,这就带来了在非新冠治疗病房内病毒不受控制传播的风险。这一挑战促使人们开发一种经济实惠的中间筛查工具,以便能够早期识别潜在感染的医护人员,并对实时DNA聚合酶链反应检测进行早期优先排序。这既能减少潜在感染医护人员与患者的接触时间,又能有效利用有限的检测试剂盒。

目的

本研究旨在描述一款用于筛查新冠病毒的医院内移动风险分析预警应用程序,并确定该应用程序在医护人员中的可行性和用户友好性。

方法

本研究项目的主要成果是开发了一个基于移动设备的医院内新冠病毒传播每日预警系统。总体而言,新冠病毒医院内传播预警系统(EWAS)移动应用程序被证明是可行的,超过69%的医护人员记录了超过所需时间的67%。超过93%的参与者表示该工具易于使用。

结果

本研究项目的主要成果是开发了一个基于移动设备的医院内新冠病毒传播每日预警系统。总体而言,新冠病毒医院内传播预警系统(EWAS)移动应用程序被证明是可行的,69%的医护人员(69/100)记录了超过所需时间的67%。在100名参与者中,93人表示该工具易于使用。

结论

EWAS移动应用程序是一种可行且用户友好的每日风险评分工具,可用于预防医院内新冠病毒的传播。尽管它并非设计用作诊断工具,而是一种筛查工具,但仍有必要评估其在预测可能感染新冠病毒的人员方面的敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d74e/8691406/2892a7eb3695/formative_v5i12e27521_fig1.jpg

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