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

Research Letter (38) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (847) Diabetes (194) Crowdsourcing, Big Data, Quantified Self-based Research Data (9)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43593, first published .
Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes

Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes

Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes

Authors of this article:

Yu Kuei Lin1 Author Orcid Image ;   Sean Newman2 Author Orcid Image ;   John Piette2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Yu Kuei Lin   1 , MD ;   Sean Newman   2 , BS ;   John Piette   2, 3 , PhD

1 Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States

2 Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, United States

3 VA Ann Arbor Healthcare System Center for Clinical Management Research, Ann Arbor, MI, United States

Corresponding Author:

  • Yu Kuei Lin, MD
  • 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
  • Phone: 1 734-232-1573
  • Email: yuklin@med.umich.edu