<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T22:04:16Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/132835" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/132835</identifier><datestamp>2025-10-30T17:03:45Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Maria Yang.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Venkatachari, Ramaa.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Integrated Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Engineering and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Integrated Design and Management Program</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Engineering and Management Program</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2020</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2020</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, May, 2020</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from the official version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 61-64).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The lifelong cost of mental health disorders to children, families, and society is substantial and far-reaching. Mental health conditions are also significant contributors to the global disease burden. To reduce this burden and improve well-being across the lifespan, a preventive approach to mental health focused on awareness and early intervention is necessary. Neural development begins soon after conception and rapidly continues for the first five years after the birth of a child. Preventive measures thus need to be taken even before birth. Better management of mental health during the perinatal and postpartum periods can improve child outcomes. This thesis analyzes the existing treatments and care delivery methods for maternal mental health conditions through systems and design thinking frameworks. The overall objective was to evaluate the efficacy of the mental healthcare system in the United States and to advocate for a patient-centric approach to care. The outcome of this study is a set of recommendations for innovators in the mental healthcare space. These are meant to serve as a guide to develop interventions that augment functionality with empathy.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Ramaa Venkatachari.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Engineering and Management</dim:field>
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   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">79 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Engineering and Management Program.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Maternal mental health and child outcomes: a human-centered design perspective on preventive mental health care</dim:field>
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   	&lt;Title>Maternal mental health and child outcomes: a human-centered design perspective on preventive mental health care&lt;/Title>
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   	&lt;Abstract>The lifelong cost of mental health disorders to children, families, and society is substantial and far-reaching. Mental health conditions are also significant contributors to the global disease burden. To reduce this burden and improve well-being across the lifespan, a preventive approach to mental health focused on awareness and early intervention is necessary. Neural development begins soon after conception and rapidly continues for the first five years after the birth of a child. Preventive measures thus need to be taken even before birth. Better management of mental health during the perinatal and postpartum periods can improve child outcomes. This thesis analyzes the existing treatments and care delivery methods for maternal mental health conditions through systems and design thinking frameworks. The overall objective was to evaluate the efficacy of the mental healthcare system in the United States and to advocate for a patient-centric approach to care. The outcome of this study is a set of recommendations for innovators in the mental healthcare space. These are meant to serve as a guide to develop interventions that augment functionality with empathy.&lt;/Abstract>
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