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Maternal depression: Technology enabled self screening in real time.

Sheenu Jhawar1,2, Shiv Dutt Gupta3, Arindam Das3

  • 1Apex Hospitals P L, Jaipur, India.

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Real-time screening for maternal depression using mobile technology can improve timely diagnosis and treatment. This approach offers hope for better maternal and infant health outcomes by detecting the condition early.

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Area of Science:

  • Obstetrics and Gynecology
  • Mental Health Research
  • Digital Health Applications

Background:

  • Maternal depression during pregnancy poses significant risks to both mother and child.
  • Undetected and untreated maternal depression is a critical public health issue.
  • Current diagnostic methods may not facilitate real-time intervention.

Purpose of the Study:

  • To explore the potential of mobile technology for real-time screening of maternal depression.
  • To investigate a novel approach for early detection of prenatal depression.
  • To enhance the accessibility of mental health screening for pregnant individuals.

Main Methods:

  • Utilizing mobile technology for self-screening of depression symptoms by pregnant mothers.
  • Implementing real-time data collection and analysis for immediate assessment.
  • Focusing on user-friendly mobile application design for pregnant users.

Main Results:

  • Mobile technology enables pregnant individuals to screen for depression in real time.
  • Early detection through self-screening can facilitate timely intervention.
  • This approach has the potential to significantly improve maternal mental healthcare.

Conclusions:

  • Mobile-based real-time screening is a promising tool for addressing undetected maternal depression.
  • Leveraging digital health can bridge the gap in accessing prenatal mental health services.
  • This strategy offers a scalable solution to improve health outcomes for mothers and infants.