dbGaP Study Accession: phs004006
NIH Institute/Center: NIMHD
RADx Data Program: RADx-UP
Release Date: 04/08/2025
Study Description: Arizona has one of the highest COVID-19 positivity test rates (approximately 19%) in the U.S. Positivity rates are disproportionately higher among Arizona's Latinx, American Indian and African American communities. The following community-driven and culturally congruent intervention aims to increase access to testing by identifying and decreasing barriers to testing in vulnerable and underserved communities across Arizona. The intervention aims at reducing disparities in COVID-19 diagnostics, education, wraparound services and referrals to a primary care provider, with the ultimate goal of improving the health of underserved communities. This approach empowers local communities, meets community members where they are, is data driven, and creates the infrastructure for continued community-driven delivery of care. Following a Community Based Participatory Research (CBPR) orientation, this project: (a) identified and prioritized testing deserts, (b) coordinated testing at different levels of the social ecosystem, (c) engaged and trained local Community Health Workers (CHWs) to deliver saliva-based COVID-19 testing to vulnerable and underserved community members, (d) delivered test results within 72 hours, (e) provided wrap-around services and provider referrals for those testing positive, and (f) sustained the intervention during a follow-up period. EHF serves as the lead community partner and convener of a growing COVID- 19 Coalition of Communities of Color Partners (CCCCP) from across Arizona. The ASU Biodesign Clinical Testing Laboratory (ABCTL) provided the saliva-based SARS-CoV-1 molecular diagnostic. The saliva test's main benefits are: a) minimal to no PPE requirements compared to nasopharyngeal (NP) swabs; b) convenience and economy of specimen collection; c) ease of repeat sampling; d) administration by minimally trained CHWs, and e) greater sensitivity and consistency of saliva tests than NP swabs. Under this project, 29,000 saliva tests were administered, 10,000-12,000 at identified testing deserts during the launching period, doubling the numbers during the follow-up period in Year 1, and 5,000 tests were added in Year 2. A longitudinal evaluation assessed the intervention's impact by comparing randomly selected participants in the R.A.P.I.D. intervention during the launching period (N=500) with a matched comparison group (N=500) randomly selected from standard testing sites.
Updated Date: 04/08/2025
Principal Investigator: Marsiglia, Flavio Francisco
Has Data Files: Yes
Study Domain: COVID Testing Deserts; Community Outreach Programs; Diagnostic Testing; Testing Rate or Uptake
Data Collection Method: Molecular Nucleic Acid or PCR Testing Device; Survey
Keywords: Community-based COVID-19 Testing; Home Visits; Saliva-based Testing; Testing Disparities; Testing Drives; Testing Intervention
Study Design: Interventional or Clinical Trial
Multi-Center Study: No
Data Types: Behavioral; Clinical; Cognitive; Psychological; Questionnaire or Survey; Social
Study Start Date: 09/22/2020
Study End Date: 06/30/2022
Species: Human
Estimated Cohort Size: 1000
Study Population Focus: Adults; African Americans; Hispanics or Latinos; Racial or Ethnic Minorities; Underserved or Vulnerable Populations
Acknowledgement Statement: This study was supported through funding, 3U54MD002316-15S2, for the National Institute on Minority Health and Health Disparities (NIMHD) as part of the RADx-UP program. Acknowledging our community partner, Equality Health Foundation, for leading efforts in the field, and to all participants in the study throughout Arizona. Approved users should acknowledge the provision of data access by dbGaP for accession phs004006.v1.p1, and the NIH RADx Data Hub. Approved users should also acknowledge the specific version(s) of the dataset(s) obtained from the NIH RADx Data Hub.
Funding Opportunity Announcement (FOA) Number: PA-20-135
NIH Grant or Contract Number(s): 3U54MD002316-15S2
Consent/Data Use Limitations: General Research Use
Variable Name | Label |
---|---|
nih_record_id | User ID |
nih_race | What is your race? |
nih_ethnicity | Are you of Hispanic or Latino origin? May include Spanish origin. |
nih_age | What is your age? |
nih_sex | What is your biological sex assigned at birth? |
nih_education | What is the highest level of education you have achieved outside or in the United States? |
nih_zip | What is your zip code? |
nih_employment | Please specify your employment status. |
nih_insurance | What kind of health insurance do you have? |
nih_vape_freq | Vaping Frequency: Do you now use electronic cigarettes every day, some days, rarely, or not at all? |
nih_cig_smoke_freq | Nicotine Frequency: Do you now smoke cigarettes? |
nih_smoking_yn | Do you use any tobacco/nicotine products (including cigarettes, cigars, e-cigarettes, etc)? |
nih_history_smoking | History of Smoking |
nih_alcohol_yn | Alcohol use (Yes or No) |
nih_lifetime_use_alcohol | In your entire life, have you had at least 1 drink of any kind of alcohol, not counting small tastes or sips? (Yes or No) |
nih_alcohol_frequency | How often did you have a drink containing alcohol ? |
nih_pregnancy | Pregnancy status |
nih_health_status | Would you say that (your) health in general is excellent, very good, good, fair, or poor? |
nih_height | What is your height in inches? |
nih_weight | What is your weight in pounds? |
age_yrs | Age For babies less than 1 year old, do not write the age in months. Write 0 as the age. (Years) |
bio_sex_birth_2 | What was your sex assigned at birth on your birth certificate? |
current_employment_status | We would like to know about what you do -- are you working now, looking for work, retired, keeping house, a student, or something else? |
hi_coverage_type | What is the primary kind of health insurance or health care plan that you have now? (Exclude plans that pay for only one type of Service (such as, nursing home care, accidents, family planning, or dental care) and plans that only provide extra cash when hospitalized. ) |
lifetime_use_alcohol | In your entire life, have you had at least 1 drink of any kind of alcohol, not counting small tastes or sips? |
pregnancy_status | Are you currently pregnant? |
race_ethn_hispanic | Are you of Hispanic, Latino, or Spanish origin? |
self_reported_height_centimeters | Centimeters |
self_reported_height_feet | Feet |
self_reported_height_inches | Inches |
self_reported_height_meters | Meters |
self_reported_weight_kgs | How much do you weigh without clothes or shoes? If you are currently pregnant, how much did you weigh before your pregnancy? |
self_reported_weight_lbs | How much do you weigh without clothes or shoes? If you are currently pregnant, how much did you weigh before your pregnancy? |
smoker_cur_stat_2 | Do you now smoke cigarettes? |
vaper_cur_stat | Do you now use electronic cigarettes every day, some days, rarely, or not at all? |
zip_code | Zip Code |
alcohol_date_mdy | - |
alcohol_daysperweek | - |
alcohol_drinksperday | - |
consentdt_mdy | - |
consent_given | - |
consent_hipaa_yn | - |
consent_ident | - |
consent_recontact | - |
consent_zip_2 | - |
covid_pandemic_challenges_abod_2 | - |
covid_pandemic_challenges_food_2 | - |
covid_pandemic_challenges_wate_2 | - |
covid_test_approval | - |
covid_test_collect_datetime | - |
covid_test_collection_setting | - |
covid_test_date_mdy | - |
covid_test_performed_location | - |
covid_test_result | - |
covid_test_result_datetime | - |
covid_test_result_sent_datetime | - |
covid_test_specimen_collector | - |
covid_test_specimen_type | - |
covid_test_study_setting | - |
covid_test_type | - |
covid_vaccine | - |
covid_vaccine_course | - |
cov_pan_chal_hlth_2 | - |
cov_pan_chal_med_2 | - |
cov_pan_chlng_trans_2 | - |
cov_tst_mthd_2 | - |
data_source | - |
edu_years_of_school | - |
employed_ew | - |
employed_healthcare_2 | - |
family_income | - |
fi_food_money_frequency | - |
flu_vaccinehistind_2 | - |
flu_vaccine_season_3 | - |
hi_loss_covid | - |
hlthstat_date_mdy | - |
housing_date_mdy | - |
iden_date_mdy | - |
index | - |
isolate_maintain_job | - |
jobloss_covid19_2 | - |
language_english | - |
language_home___9 | - |
language_home___99 | - |
language_spoken__1 | - |
positivemonth_covidtest_2 | - |
positiveyear_covidtest_3 | - |
preferred_contact_method_2 | - |
quarantine_maintain_job | - |
race_ethn_race___1 | - |
race_ethn_race___15 | - |
race_ethn_race___2 | - |
race_ethn_race___3 | - |
race_ethn_race___4 | - |
race_ethn_race___5 | - |
race_ethn_race___6 | - |
race_ethn_race___99 | - |
recentmonth_covidtest_2 | - |
recentresult_covidtest | - |
recentyear_covidtest_3 | - |
redcap_event_name | - |
redcap_repeat_instance | - |
redcap_repeat_instrument | - |
self_reported_health_status_assessment | - |
self_reported_height_coded | - |
self_reported_weight_units_2 | - |
smoker_number | - |
sociodem_date_mdy | - |
test_accesseasy_2 | - |
test_date_mdy | - |
tested_for_covid | - |
tested_positive_for_covid | - |
trust_coll_2 | - |
trust_cortf_2 | - |
trust_doc_2 | - |
trust_fam_2 | - |
trust_flead_2 | - |
trust_news_2 | - |
trust_social_2 | - |
trust_usgov_2 | - |
vacc_date_mdy | - |
vaccine_avail | - |
vaccine_concerns_3___1 | - |
vaccine_concerns_3___10 | - |
vaccine_concerns_3___2 | - |
vaccine_concerns_3___3 | - |
vaccine_concerns_3___4 | - |
vaccine_concerns_3___5 | - |
vaccine_concerns_3___6 | - |
vaccine_concerns_3___7 | - |
vaccine_concerns_3___8 | - |
vaccine_concerns_3___9 | - |
vaccine_reasons_3___1 | - |
vaccine_reasons_3___2 | - |
vaccine_reasons_3___3 | - |
vaccine_reasons_3___4 | - |
vaccine_reasons_3___5 | - |
vaccine_reasons_3___6 | - |
vaccine_reasons_3___7 | - |
vaccine_reasons_3___8 | - |
vaccine_reasons_3___9 | - |
work_closecont_2 | - |
work_ppe_2 | - |
work_ppe_date_mdy | - |
work_wash_2 | - |