- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04474496
Impact of COVID-19 on Marshallese Communities in the U.S.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Background and Rationale
While there is much we do not know about the differential effects of COVID-19, early data shows that minority communities are disproportionally effected by the virus. There are many factors that may increase the likelihood of contracting COVID-19 including: 1) community spread because of lack of access to testing in low-income communities, 2) work environments that may increase exposure, 3) more densely populated housing that reduces the ability to social distance, 4) limited understanding of preventive measures due to literacy and language barriers, 5) constrained financial resources to stay home and not work, and/or 6) lack of trust in the health care system. The Marshallese are a Pacific Islander population experiencing significant health disparities with some of the highest documented rates of type 2 diabetes mellitus (T2DM) of any population in the world. Estimated T2DM rates among Marshallese in the U.S. range from 25%-50%, much higher than the general U.S. population. People with T2DM are more likely to experience severe symptoms and complications when infected with COVID-19; however, those that manage their T2DM well are less likely to become extremely ill from the virus. In order to reduce the disparities caused by COVID-19 and ultimately compare the effectiveness of prevention interventions among the low-income minority communities most effected by COVID-19, it is critical to understand minority populations': 1) risk exposure, 2) knowledge of preventive recommendations, 3) barriers and facilitators to implementing preventative recommendations, 4) barriers and facilitators to COVID-19 testing when appropriate, and self-care behaviors during COVID-19.
Specific Aims
Aim 1: Document COVID-19 risk exposure for Marshallese community members.
Aim 2: Document Marshallese community members' knowledge of preventive recommendations.
Aim 3: Document barriers and facilitators to implementing preventative recommendations.
Aim 4: Document Marshallese community members' barriers and facilitators to COVID-19 testing when appropriate.
Aim 5: Document self-care behaviors during COVID-19.
Aim 6: Explore COVID-19 pandemic related barriers and facilitators to T2DM self-management among Marshallese adults with T2DM.
Aim 7: Assess the effect of the COVID-19 pandemic on T2DM self-management activities among Marshallese adults with T2DM.
Study Design and Procedures
Participants will complete an online or telephone survey. Up to 100 participants will also be invited to complete an in-depth qualitative interview in addition to the survey (these results are not presented here). Community-based recruitment for the online survey will be conducted by posting an informational flyer on social media. The flyer will contain a link to the study information sheet and survey documents. Study team members will also reach out to study participants via phone or electronic mediums (e.g. email, text, or messenger). Study staff will send potential participants a link to an electronic survey using REDcap. The REDcap system will include electronic documentation of consent prior to completing the survey. Access to study data will be limited to only those personnel who need it to complete relevant job duties. All data, regardless of whether it is identifiable or not, will be stored in a locked file cabinet in a locked room, or on a secure University of Arkansas for Medical Sciences (UAMS) server that requires two-factor authentication.Each participant who completes the survey will receive a $20 Walmart gift card as remuneration.
Measures/outcomes
Our survey will be based on CDC risk assessments and utilize the NIH funded COVID-19 items that are part of the PhenX Toolkit, as well as other standardized survey items/scales. Those participants with T2DM will be asked to complete questions pertaining to T2DM self-management during COVID-19.
Data Analysis
Given the descriptive nature of the study aims, the analytic strategy will focus on presenting results of item-level descriptive analyses, with an emphasis on frequencies and proportions. There will be no attempt to impute missing responses for any items. For each analysis, the number of included responses will be reported.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
Arkansas
-
Fayetteville, Arkansas, United States, 72703
- University of Arkansas for Medical Sciences Northwest
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Self-reported Marshallese
- 18 years of age or older
- Live in the Continental U.S. or Hawaii
Exclusion Criteria:
- Does not meet inclusion criteria
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Marshallese adults in the U.S.
Marshallese persons 18 years of age or older currently residing in the United States
|
Surveying Marshallese adults in the U.S. to determine the impact of COVID-19
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Personal Preventative Behaviors to Decrease Risk of COVID-19 Exposure
Time Frame: Baseline
|
Participants will report behaviors they regularly engage in to lessen their risk of contracting COVID-19 (e.g., social distancing, wearing a mask, etc.).
Participants were asked "Which of the following measures have you taken to prevent infection from COVID-19?
(Select all that apply)"
|
Baseline
|
|
Workplace Preventative Actions to Decrease Risk of COVID-19 Exposure
Time Frame: Baseline
|
Participants will report specific steps taken by their employers to reduce risk of contracting COVID-19 (e.g., requiring remote work, mask mandates, etc.).
Participants were asked to "Please check all of the following your workplace has done since the COVID-19 outbreak (Select all that apply)".
|
Baseline
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Effects of COVID-19 on General Health Status
Time Frame: Baseline
|
Participants will be asked to rate their general health status compared with before the COVID-19 outbreak.
Participants were asked "Compared to the time before the COVID-19 outbreak, is your physical health status better, worse, or about the same?"
|
Baseline
|
|
Effects of COVID-19 on Access to Healthcare Services
Time Frame: Baseline
|
Participants will be asked to report ways in which the COVID-19 pandemic has disrupted access to healthcare (e.g., seeking routine care, getting necessary medications, etc.).
Participants were asked "In what ways has the COVID-19 outbreak affected your overall healthcare?
(Select all that apply)".
|
Baseline
|
|
Effects of COVID-19 on Dietary Habits
Time Frame: Baseline
|
Participants will be asked to compare their current dietary behaviors with before the COVID-19 outbreak.
Participants were asked "How do you think your eating habits have changed compared to before the COVID-19 outbreak?"
|
Baseline
|
|
Effects of COVID-19 on Physical Activity Behaviors (Not Specifically for Exercise)
Time Frame: Baseline
|
After reporting how many times per week they engaged "in at least 30 minutes of physical activity that was not specifically for exercise (total minutes of continuous activity, including walking, yard work, construction work, etc.)", participants were then asked "Is this more, less or about the same as the number of days you participated in at least 30 minutes of physical activity that was not specifically for exercise (total minutes of continuous activity, including walking, yard work, construction work, etc.) in a typical week before the COVID-19 outbreak?"
|
Baseline
|
|
Effects of COVID-19 on Physical Activity Behaviors (Specifically for Exercise)
Time Frame: Baseline
|
After reporting how many times per week they engaged "in at least 30 minutes of a specific exercise session (such as swimming, walking specifically for exercise, biking, etc.)", participants were then asked "Is this more, less or about the same as the number of days you participated in at least 30 minutes of a specific exercise session (such as swimming, walking specifically for exercise, biking etc.) in a typical week before the COVID-19 outbreak?"
|
Baseline
|
|
Effects of COVID-19 on Weight
Time Frame: Baseline
|
Participants were asked to report changes in weight.
Participants were asked "Have you noticed your weight change since the COVID-19 outbreak?"
|
Baseline
|
|
Effects of COVID-19 on HbA1c (Glycated Hemoglobin)
Time Frame: Baseline
|
After reporting their most recent HbA1c reading, participants were then asked "How different was this HbA1c reading from your average HbA1c reading before the COVID-19 outbreak?"
|
Baseline
|
|
Barriers to Type 2 Diabetes Management Due to COVID-19
Time Frame: Baseline
|
Participants with type 2 diabetes were asked to report how the COVID-19 outbreak affected their access to type 2 diabetes supplies (insulin, needles, etc.).
Participants were asked "Has the COVID-19 outbreak affected your level of access to the following?
(Select all that apply)"
|
Baseline
|
|
COVID-19 Screening
Time Frame: Baseline
|
Participants were asked to report whether they have been screened for COVID-19 and by what method (by phone, online, at work, etc.).
Participants were asked "Were you screened for COVID-19?
(Select all that apply)".
|
Baseline
|
|
COVID-19 Testing
Time Frame: Baseline
|
Participants were asked to report whether they have been tested for COVID-19 and the results of the test.
Participants were asked "Have you had the nose swab test for the virus that causes COVID-19?
(Mark all that apply)"
|
Baseline
|
|
COVID-19 Vaccine Willingness/Hesitancy
Time Frame: Baseline
|
Participants were asked to report whether they would accept a COVID-19 vaccine.
Participants were asked "If a vaccine for COVID-19 were available today, what is the likelihood that you would get vaccinated?"
|
Baseline
|
|
Trusted Sources of COVID-19 Information
Time Frame: Baseline
|
Participants were asked to report which sources of information they trust the most to stay informed about COVID-19.
Participants were asked "What resource do you trust most for reliable information about COVID-19?"
|
Baseline
|
|
Effects of COVID-19 on Housing
Time Frame: Baseline
|
Participants were asked how COVID-19 has impacted their housing situation.
Participants were asked "Please check all of the following that have happened to you since the COVID-19 outbreak".
|
Baseline
|
|
Effects of COVID-19 on Employment
Time Frame: Baseline
|
Participants were asked how COVID-19 has impacted their employment.
Participants were asked "In what ways has the COVID-19 outbreak affected your work?
(Select all that apply)".
|
Baseline
|
|
Effects of COVID-19 on Income
Time Frame: Baseline
|
Participants were asked how COVID-19 has impacted their income.
Participants were asked "As a result of COVID-19, has your family income changed?"
|
Baseline
|
|
Sources of Stress During COVID-19
Time Frame: Baseline
|
Participants were asked to report their greatest sources of stress from the COVID-19 outbreak (e.g., health concerns, financial concerns, etc.).
Participants were asked "What have been your greatest sources of stress from the COVID-19 outbreak?
(Select all that apply)"
|
Baseline
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Pearl A McElfish, PhD, University of Arkansas
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
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
- 261131
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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