%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 25
%N 
%P e43593
%T Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes
%A Lin,Yu Kuei
%A Newman,Sean
%A Piette,John
%+ Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, 1000 Wall Street, Brehm 5119, Ann Arbor, MI, 48105, United States, 1 734 232 1573, yuklin@med.umich.edu
%K diabetes
%K Amazon Mechanical Turk
%K MTurk
%K crowdsourcing
%K survey
%K type 1 diabetes
%K T1D
%K cross-sectional survey
%K website
%K online platform
%K web-based platform
%K reliability
%D 2023
%7 18.8.2023
%9 Research Letter
%J J Med Internet Res
%G English
%X Although Amazon Mechanical Turk facilitates the quick surveying of a large sample from various demographic and socioeconomic backgrounds, it may not be an optimal platform for obtaining reliable diabetes-related information from the online type 1 diabetes population.
%M 37594797
%R 10.2196/43593
%U https://www.jmir.org/2023/1/e43593
%U https://doi.org/10.2196/43593
%U http://www.ncbi.nlm.nih.gov/pubmed/37594797