A Framework to Improve Data Quality and Manage Dropout in Web-Based Medical Surveys: Insights from an Ai Awareness Study among Italian Physicians
Background Ensuring data quality in self-reported online surveys remains a critical challenge in digital health research, particularly when targeting healthcare professionals [1,2]. Self-reported data are susceptible to multiple biases, including careless responding, social desirability bias, an...
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| Principais autores: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Milano University Press
2025-09-01
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| Series: | Epidemiology, Biostatistics and Public Health |
| Acceso en liña: | https://riviste.unimi.it/index.php/ebph/article/view/29202 |
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