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The COVID-19 pandemic necessitated adapting qualitative research methods for online environments. This study explores e-research tools and techniques for collecting health data remotely, offering best practices for virtual qualitative studies.

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Area of Science:

  • Health Sciences
  • Social Sciences
  • Digital Humanities

Background:

  • The COVID-19 pandemic imposed significant restrictions on in-person research activities.
  • Traditional qualitative methodologies require adaptation to the current digital context.
  • The internet and social media offer new avenues for data collection.

Purpose of the Study:

  • To address the need for adapted qualitative methodologies in the context of COVID-19.
  • To explore the potential of online platforms for qualitative data collection.
  • To provide guidance and best practices for conducting e-research in health sciences.

Main Methods:

  • Review and selection of data collection tools suitable for qualitative online research.
  • Identification of techniques for remote observation, conversation, and information analysis.
  • Development of a set of rules for designing effective e-research.

Main Results:

  • The internet and social media facilitate the collection of diverse textual, visual, and narrative data.
  • E-research reorients traditional qualitative approaches to information gathering and analysis.
  • A selection of techniques and 10 design rules for online qualitative research are presented.

Conclusions:

  • Qualitative research must adapt to the digital era, embracing e-research methodologies.
  • Online tools and techniques enable continued research despite physical limitations.
  • Best practices are crucial for ensuring the validity and reliability of e-research in health sciences.