This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (559) Security in Digital Health (42) Gestational Diabetes (34) Crowdsourcing and Mechanical Turks (101) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (907)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58450, first published .
Identifying Fraudulent Responses in a Study Exploring Delivery Options for Pregnancies Impacted by Gestational Diabetes: Lessons Learned From a Web-Based Survey

Identifying Fraudulent Responses in a Study Exploring Delivery Options for Pregnancies Impacted by Gestational Diabetes: Lessons Learned From a Web-Based Survey

Identifying Fraudulent Responses in a Study Exploring Delivery Options for Pregnancies Impacted by Gestational Diabetes: Lessons Learned From a Web-Based Survey

Authors of this article:

Emma Ruby1, 2 Author Orcid Image ;   Serine Ramlawi2 Author Orcid Image ;   Alexa Clare Bowie2 Author Orcid Image ;   Stephanie Boyd2 Author Orcid Image ;   Alysha Dingwall-Harvey2 Author Orcid Image ;   Ruth Rennicks White2, 3 Author Orcid Image ;   Darine El-Chaâr2, 3, 4, 5 Author Orcid Image ;   Mark Walker2, 3, 4, 5, 6 Author Orcid Image
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