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Sensing Technologies for Maternal Depression Treatment in Low-Resource Settings

Sensing Technologies for Maternal Depression Treatment in Low-Resource Settings

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06253676
Acronym
StandStrong
Enrollment
121
Registered
2024-02-12
Start date
2024-05-15
Completion date
2026-01-22
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Post Partum Depression

Keywords

Low- and Middle-Income Country, Mental Health, Task-Sharing Intervention / Non-Specialist Intervention, mHealth | Digital Health

Brief summary

In certain low- and middle- income country settings, there is a disproportionate level of untreated postpartum depression that presents both acute and long-term risks to a mother's well-being. Although there is increasing willingness among health systems to involve non-specialists, such as community health workers, in the delivery of psychosocial interventions for postpartum depression, the effectiveness of these interventions has been mixed. The incorporation of digital technology, though, has the potential to improve the effectiveness of non-specialist-delivered interventions. The goal of this clinical trial is to evaluate the acceptability and clinical efficacy of the StandStrong intervention- a non-specialist, passive sensing technology-informed (i.e., digital) mental health intervention- as compared to a standard non-specialist mental health intervention among postpartum-depressed mothers in Nepal. Successful completion of the trial will contribute to the optimization of psychosocial intervention delivery for the postpartum context in low- and middle-income country settings.

Detailed description

Among certain low- and middle- income countries, there is a disproportionate level of untreated postpartum depression that presents both acute and long-term risks to a mother's well-being and her child's survival, health, and development. Although there is increasing willingness among health systems to involve non-specialists, such as community health workers, in the delivery of psychosocial interventions for postpartum depression, the outcomes of these interventions have been mixed. Digital technology, specifically the use of passive sensing data collection to quantitatively asses a mother's health and monitor behavior change, has the potential to improve the effectiveness of non-specialist-delivered interventions. Per this clinical trial, our research team will expand upon previous pilot work and evaluate the StandStrong intervention, a passive sensing technology-informed intervention adapted for postpartum depression. StandStrong- a passive sensing technology platform that consists of passive sensors (i.e., smartphone and GPS beacon), a passive sensing data visualization application, and a passive data analysis engine based in a modern machine-learning approach- transmits passive sensing data from a given mother and her infant to a trained, albeit non-specialist provider who interprets such data and then personalizes the intervention for her. Throughout the trial, the intervention within which this data will be integrated is Problem Management Plus (PM+). Validated across multiple low- and middle-income country settings, PM+ is World Health Organization-developed, five-session task-sharing intervention for mild to moderate distress. Per the (manualized) intervention, trained non-specialist providers coach eligible clients to address practical problems and/or distress in their daily lives via the use of fundamental cognitive behavioral strategies (e.g., deep breathing and stress management, behavioral activation, strengthening of social support, etc.). In particular, our team will conduct a double-arm, single-blind, individual-randomized controlled trial (RCT) that evaluates the clinical efficacy of platform-informed delivery of the intervention as compared to standard delivery of the intervention. We hypothesize that platform-informed delivery will more significantly reduce severity of symptoms- such as depression, anxiety, and quality of life- associated with postpartum depression relative to standard delivery; moreover, we imagine that platform-informed delivery will prove both cost-effective and scalable. Moreover, we will pose recommendations for platform and intervention implementation within the Nepal health system relative to the RE-AIM framework (i.e., Reach; Effectiveness; Adoption; Implementation; Maintenance). Successful completion of the trial will contribute to the optimization of psychosocial intervention delivery for the postpartum context in low- and middle-income country settings.

Interventions

Validated across multiple low- and middle-income country settings, PM+ is World Health Organization-developed, five-session task-sharing intervention for mild to moderate distress. Per the (manualized) intervention, trained non-specialist providers coach eligible clients to address practical problems and/or distress in their daily lives via the use of fundamental cognitive behavioral strategies (e.g., deep breathing and stress management, behavioral activation, strengthening of social support, etc.).

Sponsors

George Washington University
Lead SponsorOTHER
Transcultural Psychosocial Organization Nepal
CollaboratorOTHER
University of Witwatersrand, South Africa
CollaboratorOTHER
Yale University
CollaboratorOTHER
Duke University
CollaboratorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Subject, Outcomes Assessor)

Masking description

Participants and outcomes assessor masked to trial arm.

Intervention model description

Individual-Randomized Controlled Trial

Eligibility

Sex/Gender
FEMALE
Age
15 Years to 45 Years
Healthy volunteers
No

Inclusion criteria

* Mother Age: 15-39 years * Infant Age: Within 1st 1000 days of life * Mother PHQ-9 Score: 8+ * Access to a technology charging modality within home * Will remain in the study area for a minimum of 6 months after enrollment

Exclusion criteria

* Mother PHQ-9 Score: Less Than 8 * Different permanent residences of mother and infant at time of recruitment * Acute medical need or hospitalization of mother or infant at time of recruitment * Presentation of psychotic symptoms (as indicated by the psychosis module of the locally validated Community Informant Detection Tool) at time of recruitment

Design outcomes

Primary

MeasureTime frameDescription
Patient Health Questionnaire-9 (PHQ-9)20 Weeks Following Baseline Assessment9-item self-report scale that assesses severity of depression symptoms * Minimum Value = 0 * Maximum Value = 27 * Higher scores indicate increased severity of depression symptoms

Secondary

MeasureTime frameDescription
Psychological Outcome Profiles Questionnaire (PSYCHLOPS)20 Weeks Following Baseline Assessment4-item self-report questionnaire that indicates a personalized measure of psychological distress
Generalized Anxiety Disorder-7 (GAD-7)20 Weeks Following Baseline Assessment7-item self-report scale that assesses severity of generalized anxiety symptoms * Minimum Value = 0 * Maximum Value = 21 * Higher scores indicate increased severity of generalized anxiety symptoms
World Health Organization Disability Assessment Schedule (WHODAS)20 Weeks Following Baseline Assessment12-item self-report scale that assesses extent of adult disability * Minimum Value = 0 * Maximum Value = 48 * Higher scores indicate increased severity of disability

Countries

Nepal

Contacts

PRINCIPAL_INVESTIGATORBrandon A Kohrt, MD PhD

The George Washington University | Center for Global Mental Health Equity

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 30, 2026