Skip to main content
OpenTrials
Completed

NCT Number: NCT04256395

Efficacy of a Self-test and Self-alert Mobile Applet in Detecting Susceptible Infection of COVID-19

The "COVID-19 infection self-test and alert system" (hereinafter referred to as "COVID-19 self-test applet") jointly developed by Beijing Tsinghua Changgung Hospital, Institute for precision medicine, artificial intelligence of Tsinghua University was launched on February 1，2020. Residents , according to their actual healthy situation, after answering questions online, the system will conduct intelligent analysis, make disease risk assessment and give healthcare and medical guidance. Based on the Internet population survey, and referring to the diagnosis and screening standards of the National Health Commission of the People's Republic of China, investigators carried out the mobile applet of Internet survey and registry study for the Internet accessible identifiable population, so as to screen the suspected population and guide the medical treatment.

Completed

Looking for future studies?

Notify Me

Key information

Conditions

Susceptibility to Viral and Mycobacterial Infection Actinomycetales Infections Bacterial Infections Bacterial Infections and Mycoses Gram-Positive Bacterial Infections Infections Mycobacterium Infections

Sex eligibility

All sexes

Study type

Observational

Primary location

Beijing Tsinghua Changgung Hospital

Beijing, Beijing Municipality, 102218, China

About this study

The "COVID-19 infection self-test and alert system" (hereinafter referred to as "COVID-19 self-test applet") jointly developed by Beijing Tsinghua Changgung Hospital, Institute for precision medicine, artificial intelligence of Tsinghua University was launched on February 1，2020. This survey was also advocated by Chinese Medical Doctor Association. Residents , or even oversea Chinese people，according to their actual healthy situation, after answering questions online, the system will conduct intelligent analysis, make disease risk assessment and give healthcare and medical guidance. Based on the Internet population survey, and referring to the diagnosis and screening standards of the National Health Commission of the People's Republic of China, investigators carried out the mobile applet of Internet survey and registry study for the Internet accessible identifiable population, so as to screen the suspected population and guide the medical treatment.

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • people who lived in or out of China at present and threatened by the infection and spread of COVID-19
  • without gender and age restriction
  • people who have concerns of his health
  • voluntary completion of the self-test and evaluation.

Exclusion criteria

  • people who are not internet accessible or can not use this Mobile Applet.
  • people who can not recognize the questionnaire.

Treatment and study plan

mobile internet survey on self-test

Other
  • make a questionnaire, the content of which refers to the new coronavirus diagnosis and treatment guidelines released by the National Health Commission; 2. develop the mobile applet and carry out internet propagation; 3. background data could be identified according to computer technology, de duplication and de privacy; 4. once registered, the applet can automatically remind the self-test twice a day, and encourage to adhere to 14 days; 5. automatically compare with the standards and highly suspected population could be given medical guidance and encouraged to go to the fever clinic of the designated hospital for definite diagnosis.

Primary outcomes

  1. positive number diagnosed by national guideline in the evaluated population

    Time frame: 5 months

    after the end of this study, investigators calculate and sum up the total evaluated population and positively diagnosed population, then check the ROC of this system, finally to calculate the sensitivity and accuracy of this self-test and self-alert system

Secondary outcomes

  1. distribution map of evaluated people

    Time frame: 5 month

    after the end of this study, investigators calculate the proportion and distribution of evaluated people with normal and abnormal scores

  2. Effect of medical guidance by designated feedback questionnaire

    Time frame: 5 month

    after the end of this study, investigators sent the feedback inform to every evaluated people and collect and analysis the response to find out whether this applet can help them in the following surveillance or medical treatment. And how it works.

  3. mental scale of relief the mental anxiety and avoid unnecessary outpatient

    Time frame: 5 month

    after the end of this study, investigators sent the designated mental scale including anxiety, and collect the response and draw the conclusion.

Sponsors and collaborators

Lead sponsor

Beijing Tsinghua Chang Gung Hospital

Other

Collaborators

  • Chinese Medical Doctor Association
  • Institute for artificial intelligent of Tsinghua University
  • Institute for network behavior of Tsinghua University
  • Institute for precision medicine of Tsinghua University
  • school of clinical medicine of Tsinghua University

Registry information

Official study title

Registry Study on the Efficacy of a Self-test and Self-alert Applet in Detecting Susceptible Infection of COVID-19 --a Population Based Mobile Internet Survey

Acronym: COVID-19

Important dates

Study start
2020
Primary completion
2020
Study completion
2020
First posted
Feb 5, 2020
Registry last updated
Jul 7, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.