Negative / Null Result ReportOpen accessMedicine· cited by 10

Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study

Jörg Matthes; Anne Reinhardt; Selma Hodzic; Jaroslava Kaňková; Alice Binder; Ljubisa Bojic; Helle Terkildsen Maindal; Corina Paraschiv · 2026 · Journal of Medical Internet Research

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract

Background: The rise of generative artificial intelligence (AI) tools such as ChatGPT is rapidly transforming how people access information online. In the health context, generative AI is seen as a potentially disruptive information source due to its low entry barriers, conversational style, and ability to tailor content to users' needs. However, little is known about whether and how individuals use generative AI for health purposes, and which groups may benefit or be left behind, raising important questions of digital health equity. Objective: This study aimed to assess the current relevance

Abstract by Jörg Matthes; Anne Reinhardt; Selma Hodzic; Jaroslava Kaňková; Alice Binder; Ljubisa Bojic; Helle Terkildsen Maindal; Corina Paraschiv, Journal of Medical Internet Research (2026) — licensed CC BY 4.0.

Read the full paper (open access)