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

NCT04256395 | Completed

• 1 other identifier: RWS-BTCH-002
• Study Type: observational
• Target: 102,456
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Susceptibility to Viral and Mycobacterial Infection

Keywords

registry study; novel coronavirus（COVID-19）; mobile internet survey

Outcome Measures

Primary Outcomes (1)

• positive number diagnosed by national guideline in the evaluated population

  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

  5 months

Secondary Outcomes (3)

• distribution map of evaluated people

  5 month

• Effect of medical guidance by designated feedback questionnaire

  5 month

• mental scale of relief the mental anxiety and avoid unnecessary outpatient

  5 month

Interventions

mobile internet survey on self-test OTHER

1\. 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.

Eligibility Criteria

• Sex: all
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Most people including healthy or susceptible patients or diagnosed patients will be enrolled. People whoever worry about his heath status relating with infection of COVID-19 at present can register and answer the question and get a score for risk evaluation. If a high risk achieved, the applet will guide the interviewer for further medical diagnosis and treatment.

You may qualify if:

• 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.

You may not qualify if:

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

Sponsors & Collaborators

• Beijing Tsinghua Chang Gung Hospital: lead
• Institute for precision medicine of Tsinghua University: collaborator
• Institute for artificial intelligent of Tsinghua University: collaborator
• Chinese Medical Doctor Association: collaborator
• Institute for network behavior of Tsinghua University: collaborator
• school of clinical medicine of Tsinghua University: collaborator

Study Sites (1)

Beijing Tsinghua Changgung Hospital

Beijing, Beijing Municipality, 102218, China

Location

MeSH Terms

Conditions

Mycobacterium Infections

Condition Hierarchy (Ancestors)

Actinomycetales Infections; Gram-Positive Bacterial Infections; Bacterial Infections; Bacterial Infections and Mycoses; Infections

Study Officials

• Jiahong Dong, M.D

  Beijing Tsinghua Changgeng Hospital

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: February 1, 2020
• First Posted: February 5, 2020
• Study Start: February 1, 2020
• Primary Completion: July 1, 2020
• Study Completion: July 1, 2020
• Last Updated: July 7, 2020

Record last verified: 2020-07

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)