dbGaP Study Accession: phs002619
NIH Institute/Center: NCATS
RADx Data Program: RADx-UP
Release Date: 08/31/2023
DOI: 10.60773/ydsc-2z38
Study Description: Local health departments are employing widely varying approaches to address the dramatic health inequities associated with the COVID-19 pandemic. Learning collaboratives have been effective in other settings for bringing entities together to support joint problem solving and reduce variance in approach. These collaboratives built upon shared experiences to help their members understand not only what to do but how to do it, providing knowledge and skills that were critical to successful implementation of interventions. This study aimed to examine the effectiveness of a diverse, regional learning collaborative of health departments that rapidly adapt, test, and implement community-driven solutions for COVID testing disparities using a pragmatic, hybrid type II trial design. Based on preliminary data from a community-led approach developed in a severely affected Kansas county (Wyandotte), the project built Local Heath Equity Action Teams in 10 counties (4 urban and 6 rural) disproportionately affected by COVID and provided them with the training and resources needed to achieve COVID testing equity. These Local Health Equity Action Teams came together into a multi-jurisdictional learning collaborative or Community Partner Program (Aim 1) that can share best practices and collaborate on developing, testing and evaluating multi-component intervention packages for addressing COVID. Initial supported interventions included: community-sponsored pop-up testing events; home-based and worksite testing; community-informed communication strategies; and support packages for at-risk individuals and families receiving testing. Additional interventions developed or proposed by local community partners or identified through national RADx-UP efforts were continuously considered by the collaborative. Working with the local Action teams, a series of semi-structured interviews and surveys were conducted within each local community (Aim 2) to better understand common and subgroup (racial, ethnic, geographic, etc.) barriers to and facilitators of testing. Existing epidemiologic surveillance tools were leveraged to develop and track a series of county-level metrics of COVID testing inequities. Guided by the RE-AIM framework and the Consolidated Framework for Intervention Research, the effectiveness (Aim 3) of the collaborative in improving uptake of COVID testing in vulnerable communities was examined, as will the reach, adoption, implementation and maintenance of intervention components within each local community. This study not only advanced understanding of how to achieve COVID testing equity but also provided a framework for supporting underserved communities as they respond to future public health emergencies and COVID vaccination challenges.
Updated Date: 04/17/2024
Principal Investigator: Ellerbeck, Edward F
Has Data Files: Yes
Study Domain: At-Home or Over-the-Counter (OTC) Self-Testing; Community Outreach Programs; Mobile Unit Testing; Testing Rate or Uptake
Data Collection Method: Antigen Testing Device; Interview or Focus Group; Survey
Keywords: COVID Outreach/Education; Testing Disparities
Study Design: Longitudinal Cohort
Multi-Center Study: No
Data Types: Behavioral; Questionnaire or Survey; Social
Study Start Date: 09/25/2020
Study End Date: 06/30/2022
Species: Human
Estimated Cohort Size: 3000
Study Population Focus: Adults; Older Adults or Elderly; Rural Communities; Underserved or Vulnerable Populations
Publication URL: https://pubmed.ncbi.nlm.nih.gov/36265091/; https://pubmed.ncbi.nlm.nih.gov/36446055/
Acknowledgement Statement: This study was supported through funding, 3UL1TR002366-04S3, for the National Center for Advancing Translational Sciences (NCATS) as part of the RADx-UP program. Approved users should acknowledge the provision of data access by dbGaP for accession phs002619.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): 3UL1TR002366-04S3
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_disability | Do you have a disability, including serious physical or mental conditions, that interfere with your ability to carry out daily activities? |
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_asthma | Asthma |
nih_cancer_past_yr | Cancer diagnosis and/or treatment within the past 12 months |
nih_cardiovascular_disease | Cardiovascular disease |
nih_chronic_kidney_disease | Chronic kidney disease |
nih_diabetes | Diabetes |
nih_hypertension | Hypertension |
nih_mental_health_disorder | Mental health disorder |
nih_sickle_cell_disease | Sickle cell disease |
nih_pregnancy | Pregnancy status |
nih_immunocompromised | Immunocompromised condition |
nih_autoimm | Autoimmune disease |
nih_copd | Chronic obstructive pulmonary disease (COPD) |
nih_chronic_lung | Other chronic lung disease |
nih_depression | Depression |
nih_alc_sub_abuse | Alcohol or substance use disorder |
nih_iv_drug_use | Intravenous drug use |
nih_other_chronic_cond | Other chronic condition |
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? |
cc_asthma_2 | Asthma |
cc_asud_2 | Alcohol or substance use disorder |
cc_autoimm_2 | Autoimmune disease |
cc_cancer_2 | Cancer diagnosis and/or treatment within the past 12 months |
cc_chronickd_2 | Chronic kidney disease (CKD) |
cc_clung_2 | Other chronic lung disease |
cc_copd_2 | Chronic obstructive pulmonary disease (COPD) |
cc_cvd_2 | Cardiovascular disease (CVD or heart disease) |
cc_depression_2 | Depression |
cc_diabetes_2 | Diabetes |
cc_hypertension_2 | Hypertension (HTN, high blood pressure) |
cc_imm_2 | Immunocompromised condition |
cc_intrav_2 | Intravenous drug use |
cc_otherchroniccond_2 | Other chronic condition |
cc_othermh_2 | Other mental health disorder |
cc_sickle_2 | Sickle Cell Anemia |
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_disability | Do you have a disability that interferes with your ability to carry out daily activities? Examples of daily activities include walking, climbing stairs, shopping, balancing a checkbook, bathing or dressing. |
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_daysperweek | - |
consentdt_mdy | - |
covid_pandemic_challenges_abod_2 | - |
covid_pandemic_challenges_food_2 | - |
covid_pandemic_challenges_wate_2 | - |
covid_vaccine | - |
cov_tst_mthd_2 | - |
edu_years_of_school | - |
employed_ew | - |
employed_healthcare_2 | - |
family_income | - |
flu_vaccinehistind_2 | - |
flu_vaccine_season_3 | - |
hi_loss_covid | - |
household_congregate_3 | - |
household_famgen_3 | - |
household_homeless | - |
isolate_maintain_job | - |
jobloss_covid19_2 | - |
ku_107a1 | - |
ku_107a___1 | - |
ku_107a___10 | - |
ku_107a___11 | - |
ku_107a___2 | - |
ku_107a___3 | - |
ku_107a___4 | - |
ku_107a___5 | - |
ku_107a___6 | - |
ku_107a___7 | - |
ku_107a___8 | - |
ku_107a___9 | - |
ku_107b1 | - |
ku_107b2 | - |
ku_107b3 | - |
ku_107b4 | - |
ku_107c1 | - |
ku_107c___1 | - |
ku_107c___10 | - |
ku_107c___2 | - |
ku_107c___3 | - |
ku_107c___4 | - |
ku_107c___5 | - |
ku_107c___6 | - |
ku_107c___7 | - |
ku_107c___8 | - |
ku_107c___9 | - |
ku_107d | - |
ku_107d1___1 | - |
ku_107d1___2 | - |
ku_107d1___3 | - |
ku_107d1___4 | - |
ku_107d1___5 | - |
ku_107d1___6 | - |
ku_107d1a | - |
ku_107e1 | - |
ku_107e___1 | - |
ku_107e___2 | - |
ku_107e___3 | - |
ku_107e___4 | - |
ku_107e___5 | - |
ku_107e___6 | - |
ku_34b___1 | - |
ku_34b___2 | - |
ku_34b___3 | - |
ku_34b___4 | - |
ku_34b___5 | - |
ku_34b___6 | - |
ku_34b___99 | - |
ku_34c | - |
ku_34d | - |
ku_34d1 | - |
ku_34d1a___1 | - |
ku_34d1a___2 | - |
ku_34d1a___3 | - |
ku_34d1a___4 | - |
ku_34d1a___5 | - |
ku_34d1b | - |
ku_45a | - |
ku_98a___1 | - |
ku_98a___10 | - |
ku_98a___11 | - |
ku_98a___2 | - |
ku_98a___3 | - |
ku_98a___4 | - |
ku_98a___5 | - |
ku_98a___6 | - |
ku_98a___7 | - |
ku_98a___8 | - |
ku_98a___9 | - |
ku_98a_other | - |
ku_other_vaccine_concerns | - |
ku_other_vaccine_reasons | - |
ku_surveylocation | - |
language_english | - |
language_home___1 | - |
language_home___2 | - |
language_home___3 | - |
language_home___4 | - |
language_home___5 | - |
language_home___6 | - |
language_home___7 | - |
language_home___8 | - |
language_home___9 | - |
language_home___90 | - |
language_home___99 | - |
positivemonth_covidtest_2 | - |
positiveyear_covidtest_3 | - |
quarantine_maintain_job | - |
race_ethn_asian_detail_3___1 | - |
race_ethn_asian_detail_3___2 | - |
race_ethn_asian_detail_3___3 | - |
race_ethn_asian_detail_3___4 | - |
race_ethn_asian_detail_3___5 | - |
race_ethn_hispanic_detail_2___1 | - |
race_ethn_hispanic_detail_2___2 | - |
race_ethn_hispanic_detail_2___3 | - |
race_ethn_hispanic_detail_2___4 | - |
race_ethn_islander_detail_2___1 | - |
race_ethn_islander_detail_2___10 | - |
race_ethn_islander_detail_2___11 | - |
race_ethn_islander_detail_2___12 | - |
race_ethn_islander_detail_2___13 | - |
race_ethn_islander_detail_2___14 | - |
race_ethn_islander_detail_2___2 | - |
race_ethn_islander_detail_2___3 | - |
race_ethn_islander_detail_2___4 | - |
race_ethn_islander_detail_2___5 | - |
race_ethn_islander_detail_2___6 | - |
race_ethn_islander_detail_2___7 | - |
race_ethn_islander_detail_2___8 | - |
race_ethn_islander_detail_2___9 | - |
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___99 | - |
recentmonth_covidtest_2 | - |
recentresult_covidtest | - |
recentyear_covidtest_3 | - |
redcap_event_name | - |
redcap_repeat_instance | - |
redcap_repeat_instrument | - |
self_reported_health_status_asse | - |
self_reported_height_coded | - |
self_reported_weight_units_2 | - |
smoker_number | - |
test_accesseasy_2 | - |
test_accesswhere_2 | - |
tested_for_covid | - |
tested_positive_for_covid | - |
test_percvaccuneg_2 | - |
test_percvaccupos_2 | - |
test_resneg_2___1 | - |
test_resneg_2___2 | - |
test_resneg_2___3 | - |
test_resneg_2___4 | - |
test_respos_2___1 | - |
test_respos_2___2 | - |
test_respos_2___3 | - |
trust_coll_2 | - |
trust_cortf_2 | - |
trust_doc_2 | - |
trust_fam_2 | - |
trust_flead_2 | - |
trust_news_2 | - |
trust_social_2 | - |
trust_usgov_2 | - |
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_wash_2 | - |