Trials

Wearable device plus daily symptom diary for early remote detection of COVID-19: summary of a controlled trial plan

Updated

Abstract

A total of 20,000 participants will be enrolled to assess the performance of algorithms detecting SARS-CoV-2 infections.

  • The trial aims to evaluate the effectiveness of two algorithms for detecting early or asymptomatic SARS-CoV-2 infections.
  • One algorithm combines data from a wearable device and self-reported symptoms, while the other relies solely on symptom reporting.
  • Sensitivity, specificity, positive predictive value, and negative predictive value will be determined using laboratory-confirmed SARS-CoV-2 infections as the gold standard.
  • Participants will be stratified into high-risk and normal-risk groups to understand algorithm performance across different demographics.
  • Both algorithms will provide real-time health indicators and recommendations for COVID-19 testing based on symptom and physiological data.

Simplified

Key numbers

20,000
Target Enrollment
Total subjects to be recruited for the trial
6500 of 20,000
Normal-Risk Participants
Estimated number of normal-risk individuals per sequence
3500 of 20,000
High-Risk Participants
Estimated number of high-risk individuals per sequence

Full Text

What this is

  • This protocol outlines a randomized controlled trial investigating the effectiveness of a wearable device combined with a daily symptom diary for early detection of SARS-CoV-2 infections.
  • The trial aims to determine the sensitivity and specificity of two algorithms: one using wearable device data and the other relying solely on self-reported symptoms.
  • The study will enroll 20,000 participants in the Netherlands, stratifying them into high-risk and normal-risk groups.

Essence

  • The trial will evaluate the performance of a wearable device and symptom diary in detecting SARS-CoV-2 infections, focusing on early and asymptomatic cases.

Simplified

Funding

Competing interests

BMG and MC are current or previous employees of Ava AG. AD is an employee of and owns stock in Takeda Pharmaceuticals. SM is an employee of Roche Diagnostics Nederland BV. AK and CS are employees of Roche Molecular Diagnostics. TBB, BF, DV, TH, PK, and DEG are employees of Julius Clinical.
PubMed

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