Persuasive chatbot-based interventions for depression

A list of recommendations for improving reporting standards

Bibliographic Data

ID15528519
AuthorsKerstin Denecke (0000-0001-6691-396X, Bern University of Applied Sciences), Octavio Rivera-Romero (0000-0001-7212-9805, Universidad de Sevilla), Octavio Rivera Romero, Rolf Wynn (0000-0002-2254-3343, Østfold University of Applied Sciences, corresponding author), Elia Gabarrón (0000-0002-7188-550X, University Hospital of North Norway)
Year2025
Volume16
Pages1429304-1429304
Publication date2025-06-19
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2025.1429304
PMID40612033
OpenAlexW4411427634
LanguageEN
References cited59

Studies on chatbots for depression can improve reporting by specifically adding more technical details and chatbot evaluation. Such reporting of technical details is important even in papers on clinical trials that utilize chatbots in order to allow reproducibility and advance this field. Future work could obtain expert consensus on the recommended reporting items for chatbot-based interventions for depression

Chatbot · Depression (economics · Internet privacy · Medical education · Psychiatry · Psychological intervention · World Wide Web · Computer Science · Digital Mental Health Interventions · Medicine · Mental Health Research Topics · Mobile Health and mHealth Applications · Psychology

Tools

Open DOIOpen Access