Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial.

ABSTRACT:

Background

During the COVID-19 pandemic, medical laypersons with symptoms indicative of a COVID-19 infection commonly sought guidance on whether and where to find medical care. Numerous web-based decision support tools (DSTs) have been developed, both by public and commercial stakeholders, to assist their decision making. Though most of the DSTs' underlying algorithms are similar and simple decision trees, their mode of presentation differs: some DSTs present a static flowchart, while others are designed as a conversational agent, guiding the user through the decision tree's nodes step-by-step in an interactive manner.

Objective

This study aims to investigate whether interactive DSTs provide greater decision support than noninteractive (ie, static) flowcharts.

Methods

SUBMITTER: Robbelen A 

PROVIDER: S-EPMC9015012 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature