664 Participants Needed

Community Health Promotion for Reducing Health Disparities

(CEAL-DMV Trial)

Recruiting at 1 trial location
CL
CH
Overseen ByCheryl Himmelfarb, PhD, MSN, BSc
Age: 18+
Sex: Any
Trial Phase: Academic
Sponsor: Johns Hopkins University
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

The Community Engagement Alliance against Disparities - Washington District of Columbia, Maryland, Virginia (CEAL DMV), is a multi-community and multi-university consortium. Through collaboration and shared leadership, the CEAL-DMV the consortium- comprising five institutions: George Washington University, Howard University, Johns Hopkins University, Morgan State University, and the University of Maryland, Baltimore-has established a regional structure for bi-directional community involvement to engender trust and foster communication. Each site builds on thriving community partnerships, which have been instrumental in enhancing trust, community capacity, and readiness to reduce health disparities.

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications.

Is the community-digital health promotion intervention safe for humans?

The research does not provide specific safety data for the community-digital health promotion intervention, but it emphasizes the importance of designing digital health tools with privacy safeguards and usability in mind, which can contribute to their safe use.12345

How is the Multi-level, community-digital health promotion intervention treatment different from other treatments for reducing health disparities?

This treatment is unique because it combines digital health tools with community engagement to tailor health interventions specifically for diverse populations, aiming to reduce health disparities by addressing social and structural determinants of health. It uses a participatory approach to design interventions that are context-specific and culturally relevant, which is not commonly seen in traditional health treatments.56789

What data supports the effectiveness of the treatment Multi-level, community-digital health promotion intervention?

Research shows that digital health interventions, like those using smartphones and virtual visits, can improve health outcomes for people with chronic diseases, especially in minority groups. These interventions help by providing personalized care and increasing access to healthcare, which can reduce health disparities.5691011

Who Is on the Research Team?

CH

Cheryl Himmelfarb, PhD, MSN, BS

Principal Investigator

Johns Hopkins University

Are You a Good Fit for This Trial?

This trial is for individuals with conditions like diabetes, prediabetes, high blood pressure, or obesity. It's focused on communities in the Washington DC, Maryland, and Virginia areas. Participants should be interested in a digital health promotion intervention that involves their community.

Inclusion Criteria

Self-identify as Black or Latino
Reside in defined geographic area
I have been diagnosed with prediabetes/diabetes, hypertension, or I am overweight/obese.

Exclusion Criteria

I am unable to understand and give consent for treatment.
No access to phone/internet

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Treatment

Participants receive a multi-level, community-digital health promotion intervention, including CHW-delivered coaching and digital resources

12 months
Regular interactions with community health workers and digital platform access

Follow-up

Participants are monitored for health outcomes such as HbA1c levels, BMI, and blood pressure

6-9 months

Delayed Control Intervention

Participants receive a standardized 12-month text message campaign and educational content

12 months

What Are the Treatments Tested in This Trial?

Interventions

  • Multi-level, community-digital health promotion intervention
Trial Overview The trial tests a multi-level community-digital health promotion intervention designed to reduce health disparities related to diabetes, prediabetes, high blood pressure, and obesity through improved communication and trust within the community.
How Is the Trial Designed?
2Treatment groups
Experimental Treatment
Active Control
Group I: Multi-level, community-digital health promotion interventionExperimental Treatment1 Intervention
Group II: Delayed control intervention groupActive Control1 Intervention

Find a Clinic Near You

Who Is Running the Clinical Trial?

Johns Hopkins University

Lead Sponsor

Trials
2,366
Recruited
15,160,000+

La Clinica del Pueblo

Collaborator

Trials
1
Recruited
660+

Coaching Salud Holistica

Collaborator

Trials
1
Recruited
660+

The Medi Inc.

Collaborator

Trials
1
Recruited
660+

Baltimore CONNECT

Collaborator

Trials
1
Recruited
660+

Rivera Group

Collaborator

Trials
1
Recruited
660+

Westat

Collaborator

Trials
49
Recruited
39,700+

Published Research Related to This Trial

Digital health interventions have the potential to improve care for chronic diseases by providing accessible and personalized support, but they may also unintentionally increase health inequities among marginalized groups.
To effectively reduce health disparities, it is crucial to develop context-specific digital health solutions, foster partnerships across sectors, and actively involve historically marginalized communities in the design and implementation of these interventions.
Applying a Social Determinants of Health Framework to Guide Digital Innovations That Reduce Disparities in Chronic Disease.Goldstein, SP., Tovar, A., Espel-Huynh, HM., et al.[2023]
A co-design process involving 16 participants (8 patients with atrial fibrillation and 8 clinicians) led to the development of a digital health intervention that addresses key challenges such as medication adherence and patient education.
The intervention incorporates user-generated ideas focused on risk factor modification and remote management of atrial fibrillation episodes, demonstrating a human-centered approach that can enhance engagement and health outcomes.
The Virtual Inclusive Digital Health Intervention Design to Promote Health Equity (iDesign) Framework for Atrial Fibrillation: Co-design and Development Study.Isakadze, N., Molello, N., MacFarlane, Z., et al.[2022]
The study demonstrated the feasibility of a multidisciplinary intervention using health coach-facilitated virtual visits and a cloud-based glucose monitoring system to improve access to care for uninsured, poorly-controlled diabetic patients, with 100% participant satisfaction in recommending the intervention.
Participants in the intervention group had significantly more documented contacts with patient-centered medical home (PCMH) providers (median of nine) compared to the control group (median of four), suggesting enhanced chronic disease management through the intervention.
A Multidisciplinary Intervention Utilizing Virtual Communication Tools to Reduce Health Disparities: A Pilot Randomized Controlled Trial.Emerson, JF., Welch, M., Rossman, WE., et al.[2018]

Citations

Applying a Social Determinants of Health Framework to Guide Digital Innovations That Reduce Disparities in Chronic Disease. [2023]
The Virtual Inclusive Digital Health Intervention Design to Promote Health Equity (iDesign) Framework for Atrial Fibrillation: Co-design and Development Study. [2022]
A Multidisciplinary Intervention Utilizing Virtual Communication Tools to Reduce Health Disparities: A Pilot Randomized Controlled Trial. [2018]
Multilevel Determinants of Digital Health Equity: A Literature Synthesis to Advance the Field. [2023]
Interventions to Improve Management of Chronic Conditions Among Racial and Ethnic Minorities. [2021]
Designing Effective eHealth Interventions for Underserved Groups: Five Lessons From a Decade of eHealth Intervention Design and Deployment. [2022]
The impact of health literacy on rural adults' satisfaction with a multi-component intervention to reduce sugar-sweetened beverage intake. [2019]
Associations of Health Literacy and Menu-Labeling Usage With Sugar-Sweetened Beverage Intake Among Adults in Mississippi, 2016. [2022]
Cancer risk communication with low health literacy patients: a continuing medical education program. [2021]
10.United Statespubmed.ncbi.nlm.nih.gov
A Community Participatory Approach to Creating Contextually Tailored mHealth Notifications: myBPmyLife Project. [2023]
11.United Statespubmed.ncbi.nlm.nih.gov
Behavioral Interventions Using Consumer Information Technology as Tools to Advance Health Equity. [2020]
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