Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes
Yu Kuei Lin1, Sean Newman2, John Piette2,3
1Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States.
Journal of Medical Internet Research
|August 18, 2023
Summary
Amazon Mechanical Turk may not be ideal for collecting reliable type 1 diabetes information online. While it offers diverse participants, data quality for this specific population may be compromised.
Area of Science:
- Medical Informatics
- Public Health
- Endocrinology
Background:
- Online populations are increasingly utilized for health research.
- Type 1 diabetes (T1D) research requires accurate and reliable participant data.
- Crowdsourcing platforms offer rapid recruitment but raise data quality concerns.
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