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Study Information

dbGaP Study Accession: phs002608

NIH Institute/Center: NIDA

RADx Data Program: RADx-UP

Release Date: 12/07/2023

DOI: 10.60773/sh92-7q42

Study Description: Racial minorities have disproportionate risk for SARS-CoV-2 diagnoses and adverse outcomes including death. Burden of disease in Black populations is likely underestimated due to sub-optimal access to, and usage of, SARS-CoV-2 testing. Serosurveys, which use probability-based methods to select persons for SARS-CoV-2 testing and an accompanying survey, have potential to improve understanding of population-level burden of disease and risk factors for infection. However, early results from U.S.-based serosurveys indicate sub-optimal participation rates among Black populations, which results in their under-representation in burden of disease estimates and a limited understanding of risk factors for infection. The current project aimed to identify barriers and motivations for participation in population-based SARS-CoV-2 serosurveys among diverse Black sub-populations (e.g., by gender, age, and education level). Understanding factors that influence Black people's decision-making about serosurvey participation and how these factors differ by socio-demographic characteristics enabled tailored recommendations for increasing Black populations' participation in serosurveys and representation in burden of disease estimates. The interdisciplinary team of epidemiologists, behavioral scientists, and community health advocates/practitioners used qualitative and quantitative methods in the context of serosurveys to understand how influences on decision-making are related to actual decisions about participation in SARS-CoV-2 antibody testing. The qualitative interview guide was informed by the family of value expectancy theories and was developed in collaboration with a community advisory board (CAB), who also helped to identify community constituents for participation in qualitative interviews. Key themes from the qualitative interviews, and language used by respondents, informed a quantitative survey instrument, which assessed relative strengths of influences on serosurvey participation and how they differ socio-demographically across Black sub-populations. The Specific Aims of this study were: (1) Convene a community advisory board (CAB) comprising leaders from organizations serving Black communities in Atlanta (e.g., professional, faith-based, health and social services); (2) In the context of a SARS-CoV-2 serosurvey, conduct 50 semi-structured interviews about barriers and motivations for serosurvey and vaccine participation with Black persons from 3 diverse neighborhoods, representing a range of socio-demographic characteristics; (3) Determine the distribution of barriers and motivations for serosurvey participation across socio-demographic subgroups of 2,000 Black persons using a quantitative survey. Recommendations for increasing participation of black communities in SARS-CoV-2 serosurveys were provided, which is critical as SARS-CoV-2 serosurveys were likely to be used for on-going disease surveillance in the U.S. and to inform both resource allocation and design and monitoring of prevention and control strategies.

Updated Date: 04/17/2024

Principal Investigator: Bradley, Heather

Has Data Files: Yes

Study Domain: Pandemic Perceptions or Decision-Making; Serological or Antibody Testing; Social Determinants of Health; Testing Rate or Uptake

Data Collection Method: Interview or Focus Group; Survey

Keywords: Serosurveys; Testing Disparities

Study Design: Mixed Methods

Multi-Center Study: No

Data Types: Behavioral; Clinical; Questionnaire or Survey

Study Start Date: 12/01/2020

Study End Date: 11/30/2022

Species: Human

Estimated Cohort Size: 2050

Study Population Focus: Adults; African Americans; Children; Older Adults or Elderly

Acknowledgement Statement: This study was supported through funding, 3R01DA051302-01S1, for the National Institute on Drug Abuse (NIDA) as part of the RADx-UP program. Approved users should acknowledge the provision of data access by dbGaP for accession phs002608.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): 3R01DA051302-01S1

Consent/Data Use Limitations: General Research Use

Variable Information
Total Variables: 316
Study Variables Information Table
Variable Name
Label
nih_record_idUser ID
nih_raceWhat is your race?
nih_ethnicityAre you of Hispanic or Latino origin? May include Spanish origin.
nih_ageWhat is your age?
nih_educationWhat is the highest level of education you have achieved outside or in the United States?
nih_zipWhat is your zip code?
nih_employmentPlease specify your employment status.
nih_insuranceWhat kind of health insurance do you have?
nih_disabilityDo you have a disability, including serious physical or mental conditions, that interfere with your ability to carry out daily activities?
nih_cig_smoke_freqNicotine Frequency: Do you now smoke cigarettes?
nih_smoking_ynDo you use any tobacco/nicotine products (including cigarettes, cigars, e-cigarettes, etc)?
nih_history_smokingHistory of Smoking
nih_lifetime_use_alcoholIn 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_asthmaAsthma
nih_cancer_past_yrCancer diagnosis and/or treatment within the past 12 months
nih_cardiovascular_diseaseCardiovascular disease
nih_chronic_kidney_diseaseChronic kidney disease
nih_diabetesDiabetes
nih_hypertensionHypertension
nih_mental_health_disorderMental health disorder
nih_sickle_cell_diseaseSickle cell disease
nih_pregnancyPregnancy status
nih_immunocompromisedImmunocompromised condition
nih_autoimmAutoimmune disease
nih_copdChronic obstructive pulmonary disease (COPD)
nih_chronic_lungOther chronic lung disease
nih_depressionDepression
nih_alc_sub_abuseAlcohol or substance use disorder
nih_iv_drug_useIntravenous drug use
nih_other_chronic_condOther chronic condition
nih_health_statusWould you say that (your) health in general is excellent, very good, good, fair, or poor?
nih_heightWhat is your height in inches?
nih_weightWhat is your weight in pounds?
age_yrsAge For babies less than 1 year old, do not write the age in months. Write 0 as the age. (Years)
cc_asthma_2Asthma
cc_asud_2Alcohol or substance use disorder
cc_autoimm_2Autoimmune disease
cc_cancer_2Cancer diagnosis and/or treatment within the past 12 months
cc_chronickd_2Chronic kidney disease (CKD)
cc_clung_2Other chronic lung disease
cc_copd_2Chronic obstructive pulmonary disease (COPD)
cc_cvd_2Cardiovascular disease (CVD or heart disease)
cc_depression_2Depression
cc_diabetes_2Diabetes
cc_hypertension_2Hypertension (HTN, high blood pressure)
cc_imm_2Immunocompromised condition
cc_intrav_2Intravenous drug use
cc_otherchroniccond_2Other chronic condition
cc_othermh_2Other mental health disorder
cc_sickle_2Sickle Cell Anemia
current_employment_statusWe 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_typeWhat 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_alcoholIn your entire life, have you had at least 1 drink of any kind of alcohol, not counting small tastes or sips?
pregnancy_statusAre you currently pregnant?
race_ethn_hispanicAre you of Hispanic, Latino, or Spanish origin?
self_reported_disabilityDo 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_centimetersCentimeters
self_reported_height_feetFeet
self_reported_height_inchesInches
self_reported_height_metersMeters
self_reported_weight_kgsHow much do you weigh without clothes or shoes? If you are currently pregnant, how much did you weigh before your pregnancy?
self_reported_weight_lbsHow much do you weigh without clothes or shoes? If you are currently pregnant, how much did you weigh before your pregnancy?
smoker_cur_stat_2Do you now smoke cigarettes?
zip_codeZip Code
alcohol_date_mdy-
consentdt_mdy-
consent_given-
consent_ident-
consent_zip_2-
covid_barrier___1-
covid_barrier___2-
covid_barrier___3-
covid_barrier___4-
covid_barrier___5-
covid_barrier___6-
covid_barrier___7-
covid_barrier___8-
covid_barrier___9-
covid_barrier___98-
covid_barrier___99-
covid_had-
covid_iso_chal___1-
covid_iso_chal___2-
covid_iso_chal___3-
covid_iso_chal___4-
covid_iso_chal___5-
covid_iso_chal___6-
covid_iso_chal___7-
covid_iso_chal___8-
covid_iso_chal___99-
covid_pandemic_challenges_abod_2-
covid_pandemic_challenges_food_2-
covid_pandemic_challenges_wate_2-
covid_pto-
covid_risk-
covid_tested_30-
covid_tst_reas-
covid_vaccine-
cov_pan_chal_hlth_2-
cov_pan_chal_med_2-
cov_pan_chlng_trans_2-
cov_tst_mthd_2-
edu_years_of_school-
employed_ew-
employed_healthcare_2-
family_income-
fi_afford_balanced_meals-
fi_change_diet-
fi_change_diet_frequency-
fi_eat_less-
fi_food_money_frequency-
fi_high_quality_2-
fi_hungry-
flu_vaccinehistind_2-
flu_vaccine_season_3-
gender_identity_term_2-
hght_wght_optn-
hi_loss_covid-
hlthstat_date_mdy-
household_congregate_3-
household_famgen_3-
household_homeless-
housing_concerns-
housing_date_mdy-
index-
isolate_maintain_job-
jobloss_covid19_2-
language_home___1-
language_home___10-
language_home___11-
language_home___12-
language_home___13-
language_home___14-
language_home___15-
language_home___16-
language_home___17-
language_home___18-
language_home___19-
language_home___2-
language_home___20-
language_home___21-
language_home___22-
language_home___23-
language_home___24-
language_home___25-
language_home___26-
language_home___27-
language_home___28-
language_home___29-
language_home___3-
language_home___30-
language_home___31-
language_home___32-
language_home___33-
language_home___34-
language_home___35-
language_home___36-
language_home___37-
language_home___38-
language_home___39-
language_home___4-
language_home___40-
language_home___41-
language_home___42-
language_home___43-
language_home___44-
language_home___45-
language_home___46-
language_home___5-
language_home___6-
language_home___7-
language_home___8-
language_home___9-
language_home___90-
language_home___99-
med_hx_date_mdy-
missed_procedure_2-
positivemonth_covidtest_2-
positiveyear_covidtest_3-
quarantine_maintain_job-
race_ethn_black-
race_ethn_black_detail_1-
race_ethn_black_detail_10-
race_ethn_black_detail_2-
race_ethn_black_detail_3-
race_ethn_black_detail_4-
race_ethn_black_detail_5-
race_ethn_black_detail_6-
race_ethn_black_detail_7-
race_ethn_black_detail_8-
race_ethn_black_detail_9-
race_ethn_black_detail_99-
race_ethn_black_detail_other-
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_hispanic_detail_2___5-
race_ethn_hispanic_detail_2___6-
race_ethn_hispanic_detail_2___7-
race_ethn_hispanic_detail_2___99-
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_assessment-
self_reported_height_coded-
self_reported_weight_units_2-
sex_orient_desc_2-
sex_orient_id-
sociodem_date_mdy-
stable_housing-
test_accesseasy_2-
test_accesswhere_2-
test_date_mdy-
tested_for_covid-
tested_positive_for_covid-
testing_comm_2___1-
testing_comm_2___2-
testing_comm_2___3-
testing_comm_2___4-
testing_comm_2___99-
testing_died-
testing_hosp-
testing_sick-
testing_wait_2-
test_intent_2-
test_pbenearound_2-
test_pbeneexposed_2-
test_pbenepos_2-
test_pbenesafe_2-
test_pbenework_2-
test_pbeneworry_2-
test_percvaccuneg_2-
test_percvaccupos_2-
test_priskcontact_2-
test_priskhlthcare_2-
test_priskknow_2-
test_prisklater_2-
test_prisknohelp_2-
test_prisknosymp_2-
test_priskouch_2-
test_resneg_2___1-
test_resneg_2___2-
test_resneg_2___3-
test_resneg_2___4-
test_resneg_2___99-
test_respos_2___1-
test_respos_2___2-
test_respos_2___3-
test_respos_2___99-
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_booster-
vaccine_concerns_3___1-
vaccine_concerns_3___10-
vaccine_concerns_3___11-
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_concerns_3___96-
vaccine_concerns_3___99-
vaccine_conven_2-
vaccine_dose-
vaccine_edu_post-
vaccine_edu_pre-
vaccine_effective_2-
vaccine_free_2-
vaccine_last_dte-
vaccine_literacy-
vaccine_manufac_2-
vaccine_no_pain_2-
vaccine_options-
vaccine_prev_expos-
vaccine_reasons_3___1-
vaccine_reasons_3___10-
vaccine_reasons_3___11-
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-
vaccine_reasons_3___96-
vaccine_reasons_3___99-
vaccine_rec1_dte-
vaccine_requirement-
vaccine_safe_2-
work_closecont_2-
work_ppe_2-
work_ppe_date_mdy-
work_wash_2-
Study Documents
Study Documents Table
Document
Document Name
File Size
Download
Study Documentationphs002608_Project 45_Protocol_07DEC2021.pdf755.18 KB
Study Documentationproject45_DDE_dictionary_origcopy.pdf2.90 MB
READMEproject45_README.html274.78 KB
Data Files
Total Files: 8
Data Files: 3
Metadata Files: 3
Dictionary Files: 2
Study Datasets Table
File Name
File Type
File Format(s)
# of Records
# of Variables
Metadata
Dictionary
project45_DATA_origcopy.csvTabular Data - Non-harmonizedcsv1784
project45_DDE_DATA_origcopy.csvTabular Data - Non-harmonizedcsv1784

project45_DATA_transformcopy.csvTabular Data - Harmonizedcsv1784