dbGaP Study Accession: phs002720
NIH Institute/Center: NIDA
RADx Data Program: RADx-UP
DOI: 10.60773/pkzs-t351
Release Date: 08/30/2023
Study Description: In the U.S., women who use illicit drugs (WWUD) have disproportionately high rates of infectious (e.g., HIV, HCV), chronic, and pulmonary diseases that elevate their risk for COVID-19. Their health and disease profile is driven by enduring social conditions (e.g., scarcity of income, food insecurity, access to health services, housing, discrimination). These prevailing social conditions can also undermine WWUDs' ability to protect themselves from COVID-19 (e.g., washing hands, social distancing). Drug procurement and use, which are largely social processes, further challenge these self-protection measures. Testing and future vaccination is vital to reducing COVID-19 among this high-risk population, necessitating accessible testing schemes. Here, a mixed methods study was conducted that draws upon the Andersen Behavioral Model10 and is grounded in eco-social theory. Specifically, the Baltimore-based study aimed to: 1) explore predisposing social factors (e.g., housing, food security), individual-level factors (e.g., drug use, mental health), and beliefs (e.g., medical mistrust) that are facilitators and barriers of COVID-19 testing and perceived risks (e.g., income generation, violence) resulting from a diagnosis through in-depth interviews among WWUD (N=15) and a cultural domain analysis (N=45); 2) gain an understanding of the enabling community-level environment (e.g., medical and social service agencies that currently serve WWUD, existing city-wide COVID-19 testing sites) that could facilitate or hinder WWUDs' COVID-testing uptake through observations (N=8-10) and key informant interviews (N=10); and examine predisposing social factors, individual-level factors, and beliefs that are associated with COVID-19 testing and retesting among a cohort (N=250) of WWUD at baseline and 3-month follow-up. Optional testing offered at both study visits were a self-administered, rapid antigen test. The role of medical mistrust in shaping women's' use of healthcare services were examined, as well as experiences of stigma and discrimination in healthcare settings, particularly among Black participants. In Baltimore, this mistrust was particularly pronounced, with Johns Hopkins Hospital having a long history of mistrust in the Black community owing to experimentation and deception of research engagement. The study was guided by a community advisory board (CAB) who informed its design and implementation as well as engaged in disseminating the results at community meetings to inform COVID-testing scale up.
Updated Date: 04/17/2024
Principal Investigator: Sherman, Susan G
Has Data Files: Yes
Study Domain: At-Home or Over-the-Counter (OTC) Self-Testing; Mental Health; Rapid Diagnostic Test (RDT); Social Determinants of Health; Substance Use; Testing Rate or Uptake
Data Collection Method: Antigen Testing Device; Interview or Focus Group; Survey
Keywords: Medical Mistrust
Study Design: Longitudinal Cohort
Multi-Center Study: No
Data Types: Behavioral; Questionnaire or Survey; Social
Study Start Date: 11/01/2020
Study End Date: 10/31/2022
Species: Human
Estimated Cohort Size: 250
Study Population Focus: Adults; African Americans; Older Adults or Elderly; People Living with HIV/AIDS; Racial or Ethnic Minorities; Underserved or Vulnerable Populations
Publication URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770432/
Acknowledgement Statement: This study was supported through funding, 3R01DA041243-05S4, for the National Institute on Drug Abuse (NIDA) as part of the RADx-UP program. Dr. Sherman is supported by an endowment from the Bloomberg American Health Initiative. We would like to thank CARE study participants who trusted us with their stories and experiences. Approved users should acknowledge the provision of data access by dbGaP for accession phs002720.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-12-281
NIH Grant or Contract Number(s): 3R01DA041243-05S4
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_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_cough | Cough |
nih_fever_chills | Fever or Chills |
nih_diff_breath | Shortness of breath or difficulty breathing |
nih_headache | Headache |
nih_muscle_ache | Muscle ache |
nih_olfactory | New loss of taste or smell |
nih_fatigue | Excessive fatigue |
nih_nausea_vomiting_diarrhea | Nausea, vomiting, or diarrhea |
nih_abdom_pain | Abdominal pain |
nih_skin_rash | Skin rash |
nih_throat_congestion_nose | Sore throat, congestion or runny nose |
nih_other_symp | Other |
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? |
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 |
covid_abpain_2 | Abdominal Pain |
covid_cough_2 | Cough |
covid_diffbreath_2 | Shortness of breath or difficulty breathing |
covid_fever_2 | Fever or chills |
covid_headache_2 | Headache |
covid_myalgia_2 | Muscle or body aches |
covid_nausea_2 | Feeling sick to your stomach or vomiting, diarrhea |
covid_olfactory_2 | New loss of taste or smell |
covid_other_2 | Other |
covid_runnynose_2 | Sore throat, congestion or runny nose |
covid_skinrash_2 | Skin Rash |
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_feet | Feet |
self_reported_height_inches | Inches |
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? |
alcohol_date_mdy | - |
alcohol_daysperweek | - |
consentdt_mdy | - |
consent_given | - |
consent_ident | - |
consent_recontact | - |
consent_ssn | - |
consent_zip_2 | - |
covid_fatique_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_tar_dis_stat_2___1 | - |
covid_test_tar_dis_stat_2___2 | - |
covid_test_tar_dis_stat_2___3 | - |
covid_test_tar_dis_stat_2___4 | - |
covid_test_tar_dis_stat_2___5 | - |
covid_test_tar_dis_stat_2___6 | - |
covid_test_tar_dis_stat_2___9 | - |
covid_test_type | - |
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 | - |
flu_vaccinehistind_2 | - |
flu_vaccine_season_3 | - |
gender_identity_term_2 | - |
hi_loss_covid | - |
hlthstat_date_mdy | - |
household_congregate_3 | - |
household_famgen_3 | - |
household_homeless | - |
hous_emp_and_insur_com | - |
housing_date_mdy | - |
iden_date_mdy | - |
isolate_maintain_job | - |
jobloss_covid19_2 | - |
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 | - |
med_hx_date_mdy | - |
positivemonth_covidtest_2 | - |
positiveyear_covidtest_3 | - |
quarantine_maintain_job | - |
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_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_id | - |
smoker_number | - |
sociodem_date_mdy | - |
sym_date_mdy | - |
test_accesseasy_2 | - |
test_accesswhere_2 | - |
test_date_mdy | - |
tested_for_covid | - |
tested_positive_for_covid | - |
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 | - |