Bias in Online Health Surveys: Identifying and Overcoming Challenges Cover Image

Bias in Online Health Surveys: Identifying and Overcoming Challenges
Bias in Online Health Surveys: Identifying and Overcoming Challenges

Author(s): Karolina Szałata, Monika Czekalska, Luiza Łabuzińska, Martyna Bukowiec, Weronika Worosz, Laura Magdalena Sikorska, Gabriela Szpila, Angela Ćwil
Subject(s): School education, Health and medicine and law
Published by: Fundacja Pro Scientia Publica
Keywords: online surveys; bias; online research; data validity; bias mitigation

Summary/Abstract: Aim. Online surveys have become a vital tool in health research due to their cost- effectiveness, speed, and global reach. However, their methodological limitations – par- ticularly various forms of bias – may affect the validity and generalisability of findings. This review aims to provide an overview of the most common types of bias in online health surveys and to discuss strategies for their mitigation.Methods. A narrative literature review was conducted to identify and categorise the primary sources of bias associated with online survey research in health-related contexts. The review focused on three main areas: survey design and presentation bias, cognitive and psychological response biases, and selection bias. Studies addressing these issues were examined to extract examples and recommended mitigation approaches.Results. The review identified several key sources of bias. Poor survey design, exces- sive length, or misleading visual formatting – was associated with reduced data quality and increased dropout rates. Response biases, such as social desirability, recall errors, or avoidance of sensitive questions, were found to skew data, particularly in self- reported health measures. Selection bias emerged as a major concern, as access to and familiarity with digital technologies significantly influences who participates in online surveys. Indi- viduals with poorer health or limited digital literacy are often underrepresented.Conclusions. Despite their numerous advantages, online health surveys are vulner- able to various forms of bias that can compromise data validity. Researchers must care- fully consider survey design, sample recruitment, and respondent characteristics. Apply- ing strategies such as pre-testing, use of clear language, adaptive sampling techniques, and bias correction methods can enhance the quality of online survey data. When ethical standards are upheld and methodological rigour is applied, online surveys can remain a powerful and reliable tool in public health research.

  • Issue Year: 11/2024
  • Issue No: 11
  • Page Range: 20-28
  • Page Count: 8
  • Language: English
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