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MOMMA. Multi-centered On-going Mothers Monitoring Algorithm for perinatal behavioral health.

M W Maxwell¹, R G Locke, N de Yanez

¹Department of Adult Psychiatry, Christiana Care Health System, Wilmington, Delaware, USA.

Delaware Medical Journal

|December 28, 2000

Summary

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Perinatal depression impacts maternal and infant health, increasing risks for low birth weight and developmental issues. The Multi-centered Ongoing Mothers Monitoring Algorithm for Perinatal Behavioral Health (MOMMA) provides a structured care model for diagnosis and treatment.

Area of Science:

Perinatal mental health
Public health
Maternal-fetal medicine

Background:

Perinatal depression affects maternal well-being and poses risks to fetal and infant health.
Associated risks include low birth weight, impaired cognitive function, and chronic diseases.
The scope of perinatal depression extends beyond individual psychology to public health concerns.

Purpose of the Study:

To introduce a structured approach for diagnosing and treating perinatal depression.
To present the Multi-centered Ongoing Mothers Monitoring Algorithm for Perinatal Behavioral Health (MOMMA) as a model of care.

Main Methods:

Implementation of the MOMMA algorithm in a multi-centered setting.
Structured monitoring and intervention for perinatal behavioral health.

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Main Results:

MOMMA offers a systematic framework for perinatal depression management.
The algorithm facilitates diagnosis and treatment, addressing a critical public health issue.

Conclusions:

The MOMMA algorithm provides a scalable model for improving perinatal mental healthcare.
This structured approach can be adopted by other healthcare institutions to enhance maternal and infant outcomes.