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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 6, 2021
Open Peer Review Period: Mar 7, 2021 - May 8, 2021
Date Accepted: Jun 30, 2021
Date Submitted to PubMed: Aug 11, 2021
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Use of Iris Scanning for Biometric Recognition of Healthy Adults Participating in an Ebola Vaccine Trial in the Democratic Republic of the Congo: Mixed Methods Study

Zola Matuvanga T, Johnson G, Larivière Y, Esanga E, Matangila-Rika J, Maketa V, Lapika B, Mitashi P, Mc Kenna P, De Bie J, Van Geertruyden JP, Van Damme P, Muhindo-Mavoko H

Use of Iris Scanning for Biometric Recognition of Healthy Adults Participating in an Ebola Vaccine Trial in the Democratic Republic of the Congo: Mixed Methods Study

J Med Internet Res 2021;23(8):e28573

DOI: 10.2196/28573

PMID: 34378545

PMCID: 8386356

Use of iris scanning as a method of biometric recognition of healthy adults participating in an Ebola vaccine trial in the Democratic Republic of the Congo: a mixed-method study design

  • Trésor Zola Matuvanga; 
  • Ginger Johnson; 
  • Ynke Larivière; 
  • Emmanuel Esanga; 
  • Junior Matangila-Rika; 
  • Vivi Maketa; 
  • Bruno Lapika; 
  • Patrick Mitashi; 
  • Paula Mc Kenna; 
  • Jessie De Bie; 
  • Jean-Pierre Van Geertruyden; 
  • Pierre Van Damme; 
  • Hypolite Muhindo-Mavoko

ABSTRACT

Background:

As part of an Ebola outbreak preparedness initiative, a partnership between the University of Antwerp and the University of Kinshasa, through an Innovative Medicines Initiative-European Union (project ‘EBOVAC 3’), implemented a clinical trial on an Ebola vaccine regimen to be administered to health care provider participants (HCP-P) in Tshuapa Province (Democratic Republic of the Congo). The EBOVAC3 clinical trial used iris scan technology to identify all HCP-P participating in the vaccine trial so the right participant received the right vaccine at the right visit.

Objective:

To assess the acceptability, accuracy and feasibility of iris scan technology as an identification method within a population of HCP-P in a vaccine trial in a remote setting.

Methods:

A mixed-method study was utilized. The acceptability was assessed prior to the trial through 12 focus group discussions (FGDs) and assessed at enrolment. Feasibility and accuracy research was conducted using a longitudinal trial study design where iris scanning was compared to the unique study ID card to identify HCP-P at enrolment, and at their follow-up visits.

Results:

During the FGDs, main concerns raised by HCP-P about the iris scan technology were that it may cause physical problems to their eyes or expose them to spiritual problems through sorcery. Though, 99.1% (95%CI: 97.1;100.0) of HCP-P in the FGDs agreed to be identified by the iris scan. Also, at enrolment 99.0% (95%CI:98.3; 99.7) HCP-P accepted to be identified by iris scan. Iris scan technology correctly identified 93.1% (95%CI:91.2; 95.0) of the participants returning for scheduled follow-up visits. Iris scanning operation lasted no more than 2 minutes 30 seconds for 96.0% (95%CI: 99.0;100.0) and one attempt was enough to identify the majority of study volunteers [69.5% (95% CI:66.1;73.0)].

Conclusions:

Iris scan is highly acceptable as an identification tool in a clinical trial in HCP-Ps. Its operationalization during the trial demonstrated a high-level of accuracy that can reliably identify individuals. Iris scanning is found to be feasible in clinical trials but it requires a trained operator in order to reduce the duration and the number of attempts to identify a participant.


 Citation

Please cite as:

Zola Matuvanga T, Johnson G, Larivière Y, Esanga E, Matangila-Rika J, Maketa V, Lapika B, Mitashi P, Mc Kenna P, De Bie J, Van Geertruyden JP, Van Damme P, Muhindo-Mavoko H

Use of Iris Scanning for Biometric Recognition of Healthy Adults Participating in an Ebola Vaccine Trial in the Democratic Republic of the Congo: Mixed Methods Study

J Med Internet Res 2021;23(8):e28573

DOI: 10.2196/28573

PMID: 34378545

PMCID: 8386356

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