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Harlem Strong Mental Health Coalition

C

City University of New York, School of Public Health

Status

Enrolling

Conditions

Mental Health Wellness
Depression, Anxiety
Stress-related Problem

Treatments

Other: Technology Intervention
Behavioral: MH task-sharing training
Behavioral: Supervision
Behavioral: Learning Collaborative

Study type

Interventional

Funder types

Other

Identifiers

NCT05833555
U01OD033245

Details and patient eligibility

About

Addressing health disparities, especially in the face of coronavirus pandemic, requires an integrated multi-sector equity-focused, community-based approach. This study will examine the impact of Harlem Strong Community Mental Health Collaborative, a community-wide multi-sectoral coalition in which a health insurer works with a network of community-based organizations, medical providers, and behavioral health providers to engage in a network-wide implementation planning process to: (1) problem-solve financing, access, and quality of care barriers, (2) support capacity building for mental health (MH) task-sharing for community health workers, (3) facilitate coordination and collaboration across MH/behavioral health, primary care, and a range of social services, including case management, housing supports, financial education, employment support, and other community resources to improve linkages to services, and (4) identify a set of common MH, social risk, and health metrics and strategies to integrate these metrics into data systems across the network for continuous quality improvement of the system. The long-term goal of our study is to develop sustainable model for task-sharing MH care that will be embedded in a coordinated comprehensive network of services, including primary care, behavioral/MH, social services, and other community resources.

Full description

This study examines the impact of Harlem Strong Community Mental Health Collaborative, a community-wide multi-sectoral coalition in which a health insurer works with community-based organizations and medical and behavioral health providers to (1) problem-solve financing, access, and quality of care barriers, (2) support capacity building for MH task-sharing for community health workers, (3) facilitate coordination and collaboration across MH/behavioral health, primary care, and social services, and (4) identify a set of common metrics and strategies for continuous system quality improvement. The research study will evaluate the impact using a Hybrid Implementation-Effectiveness design to assess the effects of the Harlem Strong Collaborative on implementation and consumer outcomes. The investigators will also describe implementation outcomes and key informant interviews to explore impact of community engagement, organization variables, and provider factors on model impact. The long-term goal of this study is to develop a sustainable model for task-sharing MH care that will be embedded in a coordinated comprehensive network of services.

The investigators will conduct a stepped-wedge clustered randomized control study evaluating the effectiveness of a MH task-sharing intervention, that involves randomization and sequenced exposure to three implementation conditions: (1) online education and resources (E&R) about MH task-sharing (screening, education, and referral), (2) community-engaged multisector collaborative care model (MCC), where a neighborhood-based coalition will support implementation of MH task-sharing, and (3) community crowdsourced technology solution to support implementation (MCC+Tech).

Enrollment

700 estimated patients

Sex

All

Ages

18 to 65 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Black and Latino adults between 18 and 65 years
  • Harlem residents from low-income housing developments or receiving primary care services in Harlem
  • PHQ-4 Total Score ≥3, moderate risk for depression

Exclusion criteria

  • Those with risk for depression or anxiety who screen positive for severe mental illness (e.g., psychosis, mania, substance abuse, and high suicide risk) using screening items from the Mini-International Neuropsychiatric Interview will be excluded from the study and referred to MH services at higher levels of care

Trial design

Primary purpose

Health Services Research

Allocation

Randomized

Interventional model

Crossover Assignment

Masking

Single Blind

700 participants in 3 patient groups

Education and Resources
Active Comparator group
Description:
Education and Resources (E\&R) involves online training through the E-Hub on delivery of basic MH task-shifting skills, such as screening, psychoeducation, and referral to MH care. A community directory along with training on community resources will be made available to all participants. Specifically, we will recommend that those identified to have common MH problems (PHQ-4≥3) are offered a single two-hour zoom-based group psychoeducation session about depression and anxiety, COVID-19 impact on MH, wellness and self-care skills, and directory of Harlem-based MH services and other community resources. Participants exhibiting higher level needs are referred to MH specialists.
Treatment:
Behavioral: MH task-sharing training
Multisector Collaborative Care
Experimental group
Description:
Multisector Collaborative Care (MCC) Model will consist of all resources offered in E\&R and additional trainings on skills related to working in a multisectoral team, care navigation, syndemic risks and coordination of services related to MH, social services, and health care.
Treatment:
Behavioral: Learning Collaborative
Behavioral: Supervision
Behavioral: MH task-sharing training
Multisector Collaborative Care and Technology
Experimental group
Description:
MCC sites will be randomized to receive an additional technology-based implementation tool to evaluate impact on implementation and consumer outcomes.
Treatment:
Behavioral: Learning Collaborative
Behavioral: Supervision
Other: Technology Intervention
Behavioral: MH task-sharing training

Trial contacts and locations

2

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Central trial contact

Srividhya Sharma, PhD, MPH; Deborah Levine, LCSW

Data sourced from clinicaltrials.gov

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