Supplementary Materials for the Scoping Review "Dr. Google vs. Dr. ChatGPT in Online Health Self-Consultation: A Scoping Review of Accuracy, Bias, and Actionability (2023–2025)"

This repository contains the supplementary materials associated with the research article “Dr. Google vs. Dr. ChatGPT in Online Health Self-Consultation: A Scoping Review of Accuracy, Bias, and Actionability (2023–2025)”.

These materials support transparency, methodological rigor, and reproducibility of the research process. The repository includes the following files:

Supplementary File S1. Full electronic search strategy for Scopus and Web of Science (Word format).
This document provides the complete search strings used to retrieve studies from the Scopus and Web of Science databases, including Boolean operators, keywords, and filters applied during the literature search.

Supplementary File S2. Data extraction table for the included studies (Excel format).
This file contains the structured data extraction table used in the research. It summarizes key characteristics of the 42 empirical studies included in the analysis, such as authorship, year of publication, medical specialty, study design, evaluated AI model or search engine, and main findings related to accuracy, bias, and actionability.

Supplementary File S3. PRISMA-ScR Checklist (Word format).
This document provides the completed PRISMA-ScR checklist corresponding to the reporting of the scoping review, indicating where each reporting item is addressed in the manuscript.

Together, these materials facilitate verification of the search strategy, study selection, and data extraction procedures used in the research. These materials are shared to promote transparency and reproducibility in research on online health self-consultation and the use of generative AI and search engines for health information seeking.