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Related Experiment Video

Updated: Nov 25, 2025

Preterm EEG: A Multimodal Neurophysiological Protocol
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Creating a Multisite Perinatal Psychiatry Databank: Purpose and Development.

Wid Kattan1, Laura Avigan2, Barbara Hayton3

  • 1Division of Psychiatry, Department of Medicine, College of Medicine, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

International Journal of Environmental Research and Public Health
|December 17, 2020
PubMed

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Summary
This summary is machine-generated.

Perinatal mental health is common, affecting many pregnant and postpartum women. This study created a databank to track mental health over time, aiding research into illness patterns and contributing factors.

Area of Science:

  • Perinatal Psychiatry
  • Mental Health Research
  • Longitudinal Studies

Background:

  • Perinatal mental health conditions are prevalent, impacting a significant percentage of pregnant and postpartum individuals.
  • Understanding the long-term progression of these illnesses remains limited.
  • Existing research lacks comprehensive longitudinal data on perinatal psychiatric disorders.

Purpose of the Study:

  • To establish a collaborative electronic databank for collecting longitudinal patient data within perinatal mental health services.
  • To facilitate research into the trajectories of mental health disorders during the perinatal period.
  • To enable the study of rare mental disorders and the interplay of biological and psychosocial factors.

Main Methods:

  • A collaboration was formed among six perinatal mental health services in Quebec, Canada.
Keywords:
databankmental healthperinatal healthresearch

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  • Standardized variables were identified and selected for data collection during clinical appointments.
  • An electronic databank was developed to integrate patient self-report questionnaires and clinician-recorded medical information.
  • Participants are followed from pregnancy until six months postpartum.
  • Main Results:

    • An electronic databank capturing longitudinal perinatal mental health data has been successfully created.
    • The databank integrates both patient-reported psychosocial data and clinician-documented medical information.
    • Data collection covers the entire perinatal period, from pregnancy through six months postpartum.

    Conclusions:

    • The established databank provides a valuable resource for examining longitudinal illness trajectories in perinatal mental health.
    • It offers a unique opportunity to investigate rare psychiatric disorders and their associated biological and psychosocial correlates.
    • This initiative supports both clinical care and in-depth research into maternal mental well-being.