Chatbot-based Intervention for Education and Access to at-home COVID-19 Testing in the SCALE-UP II Trial: a Descriptive Log Analysis Study (Preprint)

<sec> <title>BACKGROUND</title> Promoting at-home tests (e.g., for COVID-19) using chatbots may be a novel and scalable way to improve uptake across diverse populations. </sec> <sec> <title>OBJECTIVE</title> The objective of this study was to assess patients’ navigational patterns (i.e., sequence of interactions) when using a chatbot designed to provide education on COVID-19 testing and to order free at-home COVID-19 test kits. </sec> <sec> <title>METHODS</title> The study was a secondary analysis of the SCALE-UP II trial, which compared different digital health strategies (i.e., chatbots versus simple text messages) to deliver free at-home COVID-19 test kits to minority populations in Utah. We analyzed chatbot usage logs to understand user behavior. </sec> <sec> <title>RESULTS</title> Of 1,051 patients randomized to the chatbot intervention, 309 (29%) launched the chatbot and 196 (63%) interacted with it. Among those who interacted, 170 (87%) completed a test kit order. One patient (0.3%) accessed the chatbot educational content. </sec> <sec> <title>CONCLUSIONS</title> Ordering of COVID-19 test kits among patients who interacted with the chatbot was high. Patients placed orders without reviewing educational content. Chatbot design should minimize the number of steps for patients to achieve a goal. </sec>

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Publication Details

Published
2025-09-24
DOI
https://doi.org/10.2196/preprints.84771
Primary Topic
Digital Mental Health Interventions
Type
article
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article

Chatbot-based Intervention for Education and Access to at-home COVID-19 Testing in the SCALE-UP II Trial: a Descriptive Log Analysis Study (Preprint)

Chelsey R. Schlechter, Kensaku Kawamoto, Leticia Stevens, Tom Greene et al.
Digital Mental Health Interventions
article

Chatbot-based Intervention for Education and Access to at-home COVID-19 Testing in the SCALE-UP II Trial: a Descriptive Log Analysis Study (Preprint)

Chelsey R. Schlechter, Kensaku Kawamoto, Leticia Stevens, Tom Greene, Courtney Pariera Dinkins, David W. Wetter, Kimberly A. Kaphingst, Jian Guo Tao, Bryan Gibson, Alan Pruhs, Jonathan Chipman, Richard L. Bradshaw, Andy J. King, Tatyana V Kuzmenko, Guilherme Del Fiol, Jorie Butler, Adriana Rush, Ryan Cornia, Brian Orleans, Tracey Siaperas, Emerson P. Borsato, Ray Meads, Joni Pierce, Cho Lam, Ryzen Benson, Shlisa Hughes
article en

Abstract

<sec> <title>BACKGROUND</title> Promoting at-home tests (e.g., for COVID-19) using chatbots may be a novel and scalable way to improve uptake across diverse populations. </sec> <sec> <title>OBJECTIVE</title> The objective of this study was to assess patients’ navigational patterns (i.e., sequence of interactions) when using a chatbot designed to provide education on COVID-19 testing and to order free at-home COVID-19 test kits. </sec> <sec> <title>METHODS</title> The study was a secondary analysis of the SCALE-UP II trial, which compared different digital health strategies (i.e., chatbots versus simple text messages) to deliver free at-home COVID-19 test kits to minority populations in Utah. We analyzed chatbot usage logs to understand user behavior. </sec> <sec> <title>RESULTS</title> Of 1,051 patients randomized to the chatbot intervention, 309 (29%) launched the chatbot and 196 (63%) interacted with it. Among those who interacted, 170 (87%) completed a test kit order. One patient (0.3%) accessed the chatbot educational content. </sec> <sec> <title>CONCLUSIONS</title> Ordering of COVID-19 test kits among patients who interacted with the chatbot was high. Patients placed orders without reviewing educational content. Chatbot design should minimize the number of steps for patients to achieve a goal. </sec>

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Digital Mental Health Interventions
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