Thursday, November 21, 2024 11/21/2024

Computerized detection and internet-based treatment of common mental disorders among college students in two Latin American LMICs

Award Number: R01MH120648
ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

Group Awards By:

View Award Abstract

PROJECT SUMMARY/ABSTRACT: Objectives: This proposal is submitted in response to PAR-18-835 to detect, engage, and experimentally evaluate the effects of internet-based cognitive behavior therapy (e-CBT) to treat college students in two Latin American LMICs with major depressive disorder and/or generalized anxiety disorder w/ or w/o comorbid common mental disorders (CMDs). Detection and engagement will be based on inexpensive internet-based self-report surveys and the intervention on inexpensive e-CBT to address the low resources in LMICs. Knowledge transfer to the primary LMIC collaborating institution (Mexican National Institute of Psychiatry Ramon de la Fuente Muniz [INPRFM]) will be a goal designed to facilitate dissemination to LMIC colleges/universities throughout Latin America. The study will build on prior research by collaborators in the WHO World Mental Health (WMH) survey consortium and WMH International College Study (WMH-ICS) initiative documenting high prevalence, impairment, and unmet need for treatment of CMDs among college students around the world and significant effects of e-CBT in treating these disorders in high income countries. Specific aims/Design/Methods: First, we will carry out a pragmatic clinical trial with students seeking treatment for CMDs at student clinics in four universities in Colombia and Mexico. Students on waitlists for student clinic services will be offered a possibility of receiving guided e-CBT immediately while staying on the list. 50% of the students with CMD who express interest will be randomized to guided e-CBT and the other 50% to treatment as usual (TAU). Short-term aggregate intervention effects will be assessed 60 days after randomization and longer-term effects 12 months after randomization. We will then use ensemble machine learning methods to predict heterogeneity of treatment effects of guided e-CBT versus TAU and develop a precision treatment rule (PTR) to predict which students will respond best to which intervention. We will then implement a SMART design in which we randomize 50% to the treatment arm predicted to be optimal by the PTR and the other 50% to randomization across arms. Additionally, we will carry out annual WMH-ICS internet-based mental health needs assessment surveys with a probability sample of students to estimate unmet need for treatment and barriers to treatment. Students screening positive for CMD who are not in treatment and report resistance to in-person treatment will be randomized to guided e-CBT to determine if access to guided e-CBT reduces the unmet need for treatment among students with CMDs who fail to seek treatment at student health clinics. Finally, the technology for screening, delivering e-CBT, and updating the precision treatment model, implemented initially by Harvard Medical School, will be transferred to INPRFM for dissemination to universities in LMICs throughout Latin America. That many senior regional mental health policy makers are trained at INPRFM and return for periodic policy summits, coupled with the close working relationship of INPRFM with the Pan American Health Organization, bode well for such dissemination efforts.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = $326,666 )
2024	2024	INSTITUTO NACIONAL DE PSIQUIATRIA RAMON DE LA FUENTE MUNIZ	CALZADA MEXICO-XOCHIMILCO 101	CIUDAD DE MEXICO				MEX	Mental Health Research Grants	000	5	7/20/2024	NON-COMPETING CONTINUATION	$326,666
														Subtotal = $326,666

Issue Date FY: 2023 ( Subtotal = $519,891 )
2023	2023	INSTITUTO NACIONAL DE PSIQUIATRIA RAMON DE LA FUENTE MUNIZ	CALZADA MEXICO-XOCHIMILCO 101	CIUDAD DE MEXICO				MEX	Mental Health Research Grants	000	4	7/20/2023	NON-COMPETING CONTINUATION	$519,891
														Subtotal = $519,891

Issue Date FY: 2022 ( Subtotal = $583,944 )
2022	2022	INSTITUTO NACIONAL DE PSIQUIATRIA RAMON DE LA FUENTE MUNIZ	CALZ. DE MEXICO - XOCHIMILCO NO. 101	MEXICO				MEX	Mental Health Research Grants	000	3	5/25/2022	NON-COMPETING CONTINUATION	$583,944
														Subtotal = $583,944

Issue Date FY: 2021 ( Subtotal = $606,962 )
2021	2021	INSTITUTO NACIONAL DE PSIQUIATRIA RAMON DE LA FUENTE MUNIZ	CALZ. DE MEXICO - XOCHIMILCO NO. 101	MEXICO	CIUDAD DE MEXICO			MEX	Mental Health Research Grants	001	2	7/30/2021	NON-COMPETING CONTINUATION	$606,962
2021	2020	INSTITUTO NACIONAL DE PSIQUIATRIA RAMON DE LA FUENTE MUNIZ	CALZ. DE MEXICO - XOCHIMILCO NO. 101	MEXICO	DISTRITO FEDERAL			MEX	Mental Health Research Grants	000	1	11/5/2020	NEW	$0
														Subtotal = $606,962

Issue Date FY: 2020 ( Subtotal = $679,991 )
2020	2020	INSTITUTO NACIONAL DE PSIQUIATRIA RAMON DE LA FUENTE MUNIZ	CALZ. DE MEXICO - XOCHIMILCO NO. 101	MEXICO	DISTRITO FEDERAL	14370		MEX	Mental Health Research Grants	000	1	6/26/2020	NEW	$679,991
2020	2020	INSTITUTO NACIONAL DE PSIQUIATRIA RAMON DE LA FUENTE MUNIZ	CALZ. DE MEXICO - XOCHIMILCO NO. 101	MEXICO	DISTRITO FEDERAL	14370		MEX	Mental Health Research Grants	001	1	9/18/2020	NEW	$0
														Subtotal = $679,991

Grand Total All Awards = $2,717,454

Top

All Categories

About

Search

Reports

Data Submission

Award Information

Computerized detection and internet-based treatment of common mental disorders among college students in two Latin American LMICs

Award Number: R01MH120648

ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer