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Interactive Conversational Agents for Perinatal Health: A Mixed Methods Systematic Review.

Samira Amil1,2, Sié-Mathieu-Aymar-Romaric Da2, James Plaisimond2

  • 1Centre NUTRISS, Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Québec, QC G1V 0A6, Canada.

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Summary
This summary is machine-generated.

Chatbots significantly improve health knowledge and behaviors for women and parents during the perinatal period. These digital tools enhance access to health information and may outperform traditional health interventions.

Keywords:
chatbotsconversational agentsmaternal health careperinatal health caresystematic review

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Area of Science:

  • Digital Health
  • Human-Computer Interaction
  • Maternal and Child Health

Background:

  • Interactive conversational agents, or chatbots, leverage AI and NLP for human-like dialogue.
  • Chatbots are increasingly utilized in diverse sectors, including education and healthcare.

Purpose of the Study:

  • To systematically review and synthesize research on chatbots for women and expectant parents.
  • Focus on the preconception, pregnancy, and up to 12 months postpartum.

Main Methods:

  • Comprehensive search across six major bibliographic databases.
  • Systematic screening, data extraction, and quality appraisal by independent reviewers.
  • Inclusion criteria focused on women and parents in the perinatal period.

Main Results:

  • Twelve studies met inclusion criteria, with global representation.
  • Reported benefits include high user satisfaction, improved health intentions/behaviors, and increased knowledge.
  • Chatbots enhanced access to health information and professional interactions.

Conclusions:

  • Chatbots are effective digital interventions in the perinatal period.
  • These agents positively impact knowledge, behaviors, attitudes, and healthcare utilization.
  • Chatbot interventions show potential for greater effectiveness than traditional methods.