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<p>To mitigate healthcare inequities during the COVID-19 pandemic, the Government of India introduced antigen-based SARS-CoV-2 self-testing kits for self-use. However, usability remained a concern for low-literacy and underserved populations. This study assessed the usability of nasal-sampling SARS-CoV-2 self-tests delivered through a peer-assisted model among factory workers in Bengaluru, India. A mixed-method cross-sectional study was conducted with 106 factory workers (February - March 2022). Using the Panbio™ COVID-19 Antigen Self-Test kit and the NAVICA mobile app, peer assistants demonstrated procedures, and guided participants through testing and reporting. Observers documented usability, result interpretation, and instruction quality using standardized checklists and contrived result images. Post-test surveys and focus group discussions captured perceived facilitators and barriers. The Usability with peer assistance was 80.7% (75.9% including non-critical steps). Usability for result reporting through NAVICA App was low (33.8%). Peer assistants provided accurate instructions for 93.4% of tests. Despite high result concordance (97.9%) between participant readings and observer/NAVICA interpretations, confidence remained moderate with peer support (62.0%) and fell below 50% for independent testing and reporting. Qualitative analysis revealed that peer support improved comfort and clarity, with infection prevention and painless sampling serving as key motivators, while stigma and time constraints persisted as primary barriers. The study demonstrates that SARS-CoV-2 self-tests have good usability when delivered through a peer-assisted model. Peer support improved test accuracy and participant confidence, indicating that workplace-based, peer-led approaches can enhance equitable access to early detection and self-care tools in low-resource, high-risk populations.</p>

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Usability of peer assisted SARS CoV 2 self testing model among factory workers in india using a mixed methods cross sectional study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月7日

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  • Meghana Ratna Pydi,
  • Neha Parikh,
  • Purnima Ranawat,
  • Ravneet Kaur,
  • A. G. Shankar,
  • Angela Chaudhuri,
  • Petra Stankard,
  • Sonjelle Shilton,
  • Aditi Srinivasan,
  • Joyita Chowdhury,
  • Elena Ivanova Reipold,
  • Syama B. Syam

摘要

To mitigate healthcare inequities during the COVID-19 pandemic, the Government of India introduced antigen-based SARS-CoV-2 self-testing kits for self-use. However, usability remained a concern for low-literacy and underserved populations. This study assessed the usability of nasal-sampling SARS-CoV-2 self-tests delivered through a peer-assisted model among factory workers in Bengaluru, India. A mixed-method cross-sectional study was conducted with 106 factory workers (February - March 2022). Using the Panbio™ COVID-19 Antigen Self-Test kit and the NAVICA mobile app, peer assistants demonstrated procedures, and guided participants through testing and reporting. Observers documented usability, result interpretation, and instruction quality using standardized checklists and contrived result images. Post-test surveys and focus group discussions captured perceived facilitators and barriers. The Usability with peer assistance was 80.7% (75.9% including non-critical steps). Usability for result reporting through NAVICA App was low (33.8%). Peer assistants provided accurate instructions for 93.4% of tests. Despite high result concordance (97.9%) between participant readings and observer/NAVICA interpretations, confidence remained moderate with peer support (62.0%) and fell below 50% for independent testing and reporting. Qualitative analysis revealed that peer support improved comfort and clarity, with infection prevention and painless sampling serving as key motivators, while stigma and time constraints persisted as primary barriers. The study demonstrates that SARS-CoV-2 self-tests have good usability when delivered through a peer-assisted model. Peer support improved test accuracy and participant confidence, indicating that workplace-based, peer-led approaches can enhance equitable access to early detection and self-care tools in low-resource, high-risk populations.