- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05965869
Healthy Communities Through CHW Initiatives
Creating Healthy Communities Through a Church-based, Community Health Worker-led Initiative
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Social determinants of health (SODH) are environmental variables that determine quality-of-life outcomes and risks that are delineated into five domains. Inequities in SODH are directly associated with diabetes. Latino(a)s suffer from poor SODH conditions more than non-minority populations, and being a minority is risk factor alone for diabetes. To quantify progress in SODH, Healthy People 2030 has provided specific objectives to measure each domain (economic stability, education access and quality, healthcare access and quality, neighborhood and build environment, and social and community context); this application focuses on the healthcare access and quality domain. While there are numerous screening mechanisms to identify SODH conditions, there is a critical need to implement interventions that are translatable into real-world practices.
A successful intervention requires several components. For the community, sites are needed that can bring individuals together, making collaboration with faith-based establishments of particular interest. Religious institutions provide an infrastructure that will persist beyond funding periods and a framework for the community to share a responsibility of health promotion.1 Churches also provide an accessible and familiar setting to provide health outreach programs but often lack trained personnel to conduct initiatives. In addition, training leaders within these settings who can reach the community is essential. Community Health Workers (CHWs) are trusted leaders within their community.2 Training church members to become CHWs potentially establishes a site familiar to the surrounding communities led by trusted individuals who understand the population at hand. Finally, secure avenues to collect and transmit data are needed. Utilizing secure HIPAA-approved technology reduces risks of loss of confidentiality while allowing collection of valuable information that may not have been collected otherwise. Since COVID-19, investigators have increased the use of online platforms, but these modalities must be translatable to personnel with potentially little to no technological experience.
To address gaps in SDOH, the investigators propose a 6-month church-based intervention for Latino(a)s with and at risk for diabetes (n=100). We will assist church members in becoming CHWs, train them in diabetes, and use an online platform (Salesforce) to track the ability to address healthcare access and quality barriers. The research team will provide telementoring to local community teams (church leadership and CHWs) to initiate the intervention. We will test the feasibility of the program using three pre-established areas of focus: acceptability, integration, limited efficacy testing.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Elizabeth Vaughan, DO
- Phone Number: 1-409-772-4182
- Email: emvaugha@utmb.edu
Study Locations
-
-
Texas
-
Galveston, Texas, United States, 77555-0158
- Recruiting
- University of Texas Medical Branch at Galveston
-
Contact:
- Erika LeGross
- Phone Number: 409-266-9400
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Spanish-speaking Latino(a)s adults
Exclusion Criteria:
- pregnant state or anticipated state in the next 6 months
- Type 1 diabetes diagnosis
- Not Spanish-speaking, and
- Self-disclosed diagnosis of schizophrenia, psychotic/delusional disorder, or severe Alzheimer's disease.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Diabetes program and education
Receive diabetes program and education
|
CHWs will contact participants weekly via phone or text, send bimonthly diabetes education videos, and provide optional monthly seminars.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Evaluate the integration of the intervention
Time Frame: 6-months
|
CHW ability to use software as measured by the number of anticipated vs. actual documents uploaded at 6-months
|
6-months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Test the limited efficacy of the intervention
Time Frame: 6-months
|
Participant knowledge as measured by the % correct on a pretest vs. posttest, CHW ability to use Salesforce to track and address unmet Healthy People 2030 healthcare access objectives, CHW ability to use Salesforce to track and address newly identified healthcare access barriers.
The latter two will be measured by a continuous outcome, from 0 to x.
We will also measure if there were missed opportunities and the percentage identified vs. percentage of those missed.
|
6-months
|
Provide acceptability data of the intervention
Time Frame: 6-months
|
Site, CHW, and participant survey data at 6-months as measured on a Likert scale, e.g., Likert scale from 1 to 5 where 1 is unsatisfied and 5 is very satisfied. Participant participation trends in the intervention |
6-months
|
Collaborators and Investigators
Investigators
- Principal Investigator: Elizabeth Vaughan, DO, University of Texas medical branch, Galveston
Publications and helpful links
General Publications
- Attkisson CC, Zwick R. The client satisfaction questionnaire. Psychometric properties and correlations with service utilization and psychotherapy outcome. Eval Program Plann. 1982;5(3):233-7. doi: 10.1016/0149-7189(82)90074-x.
- Deverts DJ, Heisler M, Kieffer EC, Piatt GA, Valbuena F, Yabes JG, Guajardo C, Ilarraza-Montalvo D, Palmisano G, Koerbel G, Rosland AM. Comparing the effectiveness of Family Support for Health Action (FAM-ACT) with traditional community health worker-led interventions to improve adult diabetes management and outcomes: study protocol for a randomized controlled trial. Trials. 2022 Oct 3;23(1):841. doi: 10.1186/s13063-022-06764-1.
- Parmanto B, Lewis AN Jr, Graham KM, Bertolet MH. Development of the Telehealth Usability Questionnaire (TUQ). Int J Telerehabil. 2016 Jul 1;8(1):3-10. doi: 10.5195/ijt.2016.6196. eCollection 2016 Spring.
- Wyatt LC, Katigbak C, Riley L, Zanowiak JM, Ursua R, Kwon SC, Trinh-Shevrin C, Islam NS. Promoting Physical Activity Among Immigrant Asian Americans: Results from Four Community Health Worker Studies. J Immigr Minor Health. 2023 Apr;25(2):291-305. doi: 10.1007/s10903-022-01411-y. Epub 2022 Oct 23.
- Hessler D, Fisher L, Dickinson M, Dickinson P, Parra J, Potter MB. The impact of enhancing self-management support for diabetes in Community Health Centers through patient engagement and relationship building: a primary care pragmatic cluster-randomized trial. Transl Behav Med. 2022 Oct 7;12(9):909-918. doi: 10.1093/tbm/ibac046.
- Levy NK, Park A, Solis D, Hu L, Langford AT, Wang B, Rogers ES. Social Determinants of Health and Diabetes-Related Distress in Patients With Insulin-Dependent Type 2 Diabetes: Cross-sectional, Mixed Methods Approach. JMIR Form Res. 2022 Oct 12;6(10):e40164. doi: 10.2196/40164.
- Wagner J, Bermudez-Millan A, Buckley T, Buxton OM, Feinn R, Kong S, Kuoch T, Nye LM, Scully M. Self-reported outcomes of a randomized trial comparing three community health worker interventions for diabetes prevention among Cambodian Americans with depression. Patient Educ Couns. 2022 Dec;105(12):3501-3508. doi: 10.1016/j.pec.2022.09.011. Epub 2022 Oct 6.
- Keegan CN, Johnston CA, Cardenas VJ Jr, Vaughan EM. Evaluating the Impact of Telehealth-Based, Diabetes Medication Training for Community Health Workers on Glycemic Control. J Pers Med. 2020 Sep 11;10(3):121. doi: 10.3390/jpm10030121.
- Garcia AA, Villagomez ET, Brown SA, Kouzekanani K, Hanis CL. The Starr County Diabetes Education Study: development of the Spanish-language diabetes knowledge questionnaire. Diabetes Care. 2001 Jan;24(1):16-21. doi: 10.2337/diacare.24.1.16. Erratum In: Diabetes Care 2001 May;24(5):972.
- Dumville JC, Torgerson DJ, Hewitt CE. Reporting attrition in randomised controlled trials. BMJ. 2006 Apr 22;332(7547):969-71. doi: 10.1136/bmj.332.7547.969.
- Belone L, Lucero JE, Duran B, Tafoya G, Baker EA, Chan D, Chang C, Greene-Moton E, Kelley MA, Wallerstein N. Community-Based Participatory Research Conceptual Model: Community Partner Consultation and Face Validity. Qual Health Res. 2016 Jan;26(1):117-35. doi: 10.1177/1049732314557084. Epub 2014 Oct 31.
- Rimawi A, Shah A, Louis H, Scales D, Kheiran JA, Jawabreh N, Yunez S, Horino M, Seita A, Wispelwey B. Community Health Worker Program Outcomes for Diabetes and Hypertension Control in West Bank Refugee Camps: A Retrospective Matched Cohort Study. Glob Health Sci Pract. 2022 Oct 31;10(5):e2200168. doi: 10.9745/GHSP-D-22-00168. Print 2022 Oct 31.
- Vaughan EM, Johnson E, Naik AD, Amspoker AB, Balasubramanyam A, Virani SS, Ballantyne CM, Johnston CA, Foreyt JP. Long-Term Effectiveness of the TIME Intervention to Improve Diabetes Outcomes in Low-Income Settings: a 2-Year Follow-Up. J Gen Intern Med. 2022 Sep;37(12):3062-3069. doi: 10.1007/s11606-021-07363-7. Epub 2022 Feb 7.
- Vaughan EM, Naik AD, Amspoker AB, Johnston CA, Landrum JD, Balasubramanyam A, Virani SS, Ballantyne CM, Foreyt JP. Mentored implementation to initiate a diabetes program in an underserved community: a pilot study. BMJ Open Diabetes Res Care. 2021 Aug;9(1):e002320. doi: 10.1136/bmjdrc-2021-002320.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 23-0169 (Other Identifier: University of Texas Medical Branch, Galveston IRB)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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