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Improving Data Integrity and Quality From Online Health Surveys of Women With Infant Children.

Lorraine O WalkerNicole MurryKayla D Longoria
Published in: Nursing research (2023)
Technological safeguards, such as blocking repeat IP addresses and study design features to detect inattentive or fraudulent respondents, are strategies to support data integrity and quality in online survey research. For online data collection to make meaningful contributions to nursing research, it is important for nursing scientists to implement technological, study design, and methodological safeguards to protect data integrity and quality and for future research to focus on advancing data protection methodologies.
Keyphrases
  • electronic health record
  • big data
  • healthcare
  • health information
  • mental health
  • quality improvement
  • young adults
  • machine learning
  • data analysis
  • cross sectional
  • artificial intelligence
  • risk assessment