Sensing technologies for maternal depression treatment in low resource settings (STANDSTRONG)

Ended Project Grant Awarded Last action

Award ID
R33MH126877
Recipient
Awarding agency
Obligated
$868,094

Award facts

Assistance listing
93.242 Mental Health Research Grants
Completion date
Place of performance
Washington, DC 20052, USA

Award details come from USAspending.gov.

Description

As the agency reported it.

Abstract
There is a high global burden of untreated postpartum depression. Untreated postpartum depression presents acute and long-term risks to a mother's mental and physical health, as well as her child's survival, health, and development. Although there is increasing willingness among funders and health systems to involve non- specialists, such as community health workers, in the delivery of psychological interventions for postpartum depression, the outcomes of these non-specialist interventions have been mixed. Digital technology, specifically the use of passive sensing data collection to learn more about a mother's life and support behavior change, has the potential to improve the effectiveness of psychological interventions delivered by non-specialists. For the proposed R21/R33, we will build on preliminary development work of sensing technologies for maternal depression treatment in low resource settings (STANDSTRONG) to demonstrate feasibility, acceptability, and functionality for postpartum depression treatment in nepal. STANDSTRONG is a digital platform consisting of two mobile apps, internet-of-things (IOT) passive sensors, and a data analysis engine built using modern machine learning approaches. STANDSTRONG incorporates passive sensing data collection from mothers and their infants that can be monitored by non-specialist counselors and then incorporated to better personalize psychological treatment. For aim 1 (R21 phase), we will use human-centered design to iteratively refine the STANDSTRONG platform and associated implementation material. For aim 2 (R21 phase), we will evaluate the STANDSTRONG platform and associated contents according to acceptability, feasibility, usage, benefit, and validity. If milestones are met for the R21, we will proceed to the R33 stage, in which we will conduct a pilot randomized controlled trial (RCT) comparing a psychological treatment as usual with the psychological treatment supplemented by the STANDSTRONG passive sensing platform with 112 depressed mothers (56 in each arm). For aim 3 (R33 phase), we will identify parameters for sustainability and scalability through engagement of policy, healthcare, and telecom stakeholders, as well as costing the intervention and building mhealth research capacity. Successful completion contributes to the nimh's 2020 strategic plan to tailor existing interventions and develop innovative service deliver for diverse populations. This project will contribute to nimh's opportunities and challenges of developing information technologies through improving treatment of mental illness through use of passive sensing technologies.

Transactions

Action Obligated Date
Amendment Sensing technologies for maternal depression treatment (STANDSTRONG) $290,444
Amendment $268,961
Original award $308,689

Subawards

Subrecipient Amount Awarded
Yale Univ Sensing Technologies for maternal depression treatment in low resource settings (StandStrong) $25,544
Duke University $49,105
Transcultural Psychosocial Organization Nepal $91,800
Yale Univ $59,044
Transcultural Psychosocial Organization Nepal $172,800

Quick answers

Who received award R33MH126877?

R33MH126877 was awarded to George Washington University (The) by National Institute of Mental Health (National Institutes of Health) on September 1, 2023.

How much is award R33MH126877 worth?

$868,094 has been obligated on R33MH126877.

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