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.
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).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Enrollment
700
Providers will be trained to screen for MH, provide education, refer, and coordinate to range of social services. MH training typically consists of education and resources, such as one-time workshops and toolkits, provided with limited technical assistance.
Additionally, Community Health Workers (CHWs) will receive bi-weekly group supervision for the first 6-months, and monthly supervision for the remaining year on Zoom from a supervisor at Center for Innovation in Mental Health.
A learning collaborative with multidisciplinary teams from various healthcare organizations will support continuous quality improvement and develop develop structured approach to improve provision of care.
To be determined by community crowdsourcing after the first phase of implementation of the multisector collaborative care for MH task-sharing.
CUNY Graduate School of Public Health and Health Policy
New York, New York, United States
RECRUITINGHarlem Congregation for Community Improvement
New York, New York, United States
RECRUITINGDepression - PHQ-9
Depression symptom severity is assessed using the Patient Health Questionnaire (PHQ-9), which includes nine items on a scale ranging from "0" (Not at all) to "3" (Nearly every day). PHQ-9 scores range from 0 to 27, with higher scores indicating greater severity of depression. The scores are categorized into five levels: minimal (0-4), mild (5-9), moderate (10-14), moderately severe (15-19), and severe (20-27).
Time frame: 6-12 months
Anxiety - GAD-7
Anxiety symptom severity is assessed using the General Anxiety Disorder (GAD-7) scale, which consists of seven items designed to screen and evaluate anxiety symptom severity on a scale ranging from "0" (Not at all) to "3" (Nearly every day). GAD-7 scores range from 0 to 21, with higher scores indicating greater anxiety symptoms. Scores are classified into four levels: minimal (0-4), mild (5-9), moderate (10-14), and severe (15-21).
Time frame: 6-12 months
Reach of Screening
Number of new consumers screened for depression using the Patient Health Questionnaire (PHQ-4) relative to the total number of low-income housing residents or patients seen at the sites will be used.
Time frame: 0-24 months
Mental Health Service Linkage
% of successful MH linkages (connecting with MH navigator or MH referrals).
Time frame: 0-24 months
Program Adoption
% of delivering MH care components during the Supported Implementation when implementation support is provided (% of MH care components delivered - screening, assessment, education, referral).
Time frame: 0-12 months
Program Sustainment
% of delivering MH care components during the Sustainment Phases when study-funded implementation supports are withdrawn (% of MH care components delivered - screening, assessment, education, referral).
Time frame: 24 months
Implementation Barriers and Facilitators
The investigators will review the implementation data table before conducting qualitative interviews to construct the "implementation story (themes)" based on the implementation data which is extracted from clinical records/logs and training records.
Time frame: 12, 24 months
Provider Attitude towards Adopting Evidence-Based Practices (EBPAS)
The Evidence-based Practice Attitude Scale with 15 items is used to assess providers' attitudes including their requirements, appeal, openness, and divergence. Each item is scored from "0" (not at all) to "4" (to a very great extent), with higher scores indicating a more positive attitude towards adopting evidence-based practices.
Time frame: 0, 6, 12, 24 months
Partnerships with Coalition Members
Partnerships and Collaboration are assessed using a 20-item scale developed by investigators. The scale includes different subdomains such as collaboration, organizational capacity, sustainability, and responsive models. Each item will be rated on a scale of "0" (Strongly Disagree) to "5" (Strongly Agree), with a higher score indicating greater partnership.
Time frame: 0, 6, 12, 24 months
Housing Security
Housing insecurity is defined by meeting criteria such as currently living in a shelter, having experienced eviction in the past, or facing challenges in paying for their rent or mortgage.
Time frame: 6-12 months
Employment Security
% of participants who experience employment insecurity.
Time frame: 6-12 months
Food Insecurity
% of participants who experience food insecurity.
Time frame: 6-12 months
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