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Study Information

dbGaP Study Accession: phs002660

NIH Institute/Center: NIDA

RADx Data Program: RADx-UP

DOI: 10.60773/n328-4344

Release Date: 08/31/2023

Study Description: Latinos are among the most heavily impacted communities by the COVID-19 pandemic in the US, with more than 3 times higher infection rate than non-Hispanic whites. To address this disparity, this team of investigators and community partners established a multi-pronged approach that leveraged the skill set of trusted bilingual/bicultural peer navigators (or promotoras) to address social determinants of health (SDOH) that create barriers to testing (such as lack of insurance, immigration status, stigmatization or loss of job/ income), and to expand access to free COVID-19 testing in community settings. Preliminary findings show that leveraging the promotora model for timely delivery of results (within 48 hours), paired with rapid linkage of COVID-19 positive patients to critical services (including clinical follow-up, food delivery, cash assistance, and/or isolation hotel), and referral of contacts for testing, increased acceptability and uptake of COVID-19 testing in a heavily impacted Latino community. The overall goal of this Phase I Testing Research Project called Juntos (Together) was to work closely with community partners to systematically evaluate and refine current COVID-19 testing strategies, and to implement and evaluate innovative customized strategies to rapidly increase reach, access, acceptance, uptake, and sustainment of FDA-authorized/approved diagnostics (especially viral tests) for this highly vulnerable and health care marginalized community. Leveraging community partnerships and prior experience implementing an HIV testing campaign, a customized Juntos COVID- 19 testing campaign was developed and evaluated to address specific common concerns in the Latino community and link users to existing Johns Hopkins COVID-19 community testing sites and to new options, including home-based and/or self- testing kits and rapid tests (Aim 1). Assessment of the overall impact of the Juntos COVID-19 Testing Project will rely on the latest in causal inference methods for evaluating population-level health interventions and a synthetic control analysis will be implemented to compare testing uptake and positivity rate among Latinos in Baltimore City (intervention site) as compared to control zip codes across Maryland. (Aim 2). Finally, informed by Consolidated Framework for Implementation Research (CFIR) and RE-AIM framework, the implementation determinants, mechanisms, and outcomes of existing and novel Juntos testing interventions will be assessed to inform future broad-scale implementation (Aim 3). A multi-disciplinary team with methodological expertise in implementation science, community-based research, and laboratory medicine, has been assembled, and the mature and long-standing collaboration with partners at Esperanza Center, Casa de Maryland, the Mayor's Office of Immigrant Affairs, and religious leaders will be leveraged.

Updated Date: 04/10/2024

Principal Investigator: Page, Kathleen

Has Data Files: Yes

Study Domain: Diagnostic Testing; Social Determinants of Health

Data Collection Method: Interview or Focus Group; Survey

Keywords: Juntos Program; Testing Disparities

Study Design: Longitudinal Cohort

Multi-Center Study: No

Data Types: Behavioral; Clinical; Questionnaire or Survey; Social

Study Start Date: 09/30/2020

Study End Date: 08/31/2022

Species: Human

Estimated Cohort Size: 4312

Study Population Focus: Adults; Hispanics or Latinos; Older Adults or Elderly

Publication URL: https://pubmed.ncbi.nlm.nih.gov/32706629/; https://pubmed.ncbi.nlm.nih.gov/33775510/; https://pubmed.ncbi.nlm.nih.gov/34398245/; https://pubmed.ncbi.nlm.nih.gov/34463697/; https://pubmed.ncbi.nlm.nih.gov/34743764/; https://pubmed.ncbi.nlm.nih.gov/35232508/; https://pubmed.ncbi.nlm.nih.gov/35301211/; https://pubmed.ncbi.nlm.nih.gov/35357317/; https://pubmed.ncbi.nlm.nih.gov/35398602/; https://pubmed.ncbi.nlm.nih.gov/35398602/; https://pubmed.ncbi.nlm.nih.gov/35460989/; https://pubmed.ncbi.nlm.nih.gov/35480235/; https://pubmed.ncbi.nlm.nih.gov/35642471/; https://pubmed.ncbi.nlm.nih.gov/36048527/; https://pubmed.ncbi.nlm.nih.gov/36074797/; https://pubmed.ncbi.nlm.nih.gov/36366857/; https://pubmed.ncbi.nlm.nih.gov/36446060/; https://pubmed.ncbi.nlm.nih.gov/36528815/; https://pubmed.ncbi.nlm.nih.gov/36652754/; https://pubmed.ncbi.nlm.nih.gov/36652754/; https://pubmed.ncbi.nlm.nih.gov/36657094/; https://pubmed.ncbi.nlm.nih.gov/36791317/; https://pubmed.ncbi.nlm.nih.gov/36805602/; https://pubmed.ncbi.nlm.nih.gov/36805602/; https://pubmed.ncbi.nlm.nih.gov/37070988/; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069846/; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269445/; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269445/; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411930/; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632451/; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9528932/

Acknowledgement Statement: This study was supported through funding, 3R01DA045556-04S1, 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 phs002660.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): 3R01DA045556-04S1

Consent/Data Use Limitations: General Research Use

Variable Information
Total Variables: 247
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_sexWhat is your biological sex assigned at birth?
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_vape_freqVaping Frequency: Do you now use electronic cigarettes every day, some days, rarely, or not at all?
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_alcohol_ynAlcohol use (Yes or No)
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_alcohol_frequencyHow often did you have a drink containing alcohol ?
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_coughCough
nih_fever_chillsFever or Chills
nih_diff_breathShortness of breath or difficulty breathing
nih_headacheHeadache
nih_muscle_acheMuscle ache
nih_olfactoryNew loss of taste or smell
nih_fatigueExcessive fatigue
nih_nausea_vomiting_diarrheaNausea, vomiting, or diarrhea
nih_abdom_painAbdominal pain
nih_skin_rashSkin rash
nih_throat_congestion_noseSore throat, congestion or runny nose
nih_other_sympOther
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)
bio_sex_birth_2What was your sex assigned at birth on your birth certificate?
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
covid_abpain_2Abdominal Pain
covid_cough_2Cough
covid_diffbreath_2Shortness of breath or difficulty breathing
covid_fever_2Fever or chills
covid_headache_2Headache
covid_myalgia_2Muscle or body aches
covid_nausea_2Feeling sick to your stomach or vomiting, diarrhea
covid_olfactory_2New loss of taste or smell
covid_other_2Other
covid_runnynose_2Sore throat, congestion or runny nose
covid_skinrash_2Skin Rash
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?
vaper_cur_statDo you now use electronic cigarettes every day, some days, rarely, or not at all?
zip_codeZip Code
alcohol_date_mdy-
alcohol_daysperweek-
consentdt_mdy-
consent_given-
consent_ident-
consent_lang-
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-
employed_healthcare_2-
family_income-
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-
housing_date_mdy-
iden_date_mdy-
isolate_maintain_job-
jobloss_covid19_2-
lab_result-
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_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_asian_detail_3___99-
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_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_islander_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_id-
site-
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_concerns_3___96-
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-
work_closecont_2-
work_ppe_2-
work_ppe_date_mdy-
work_wash_2-
Study Documents
Study Documents Table
Document
Document Name
File Size
Download
READMEproject14_README.html274.81 KB
Study Documentationproject14_DDE_dictionary_origcopy.csv40.63 KB
Study Documentationphs002660_Project 14_Protocol.pdf210.21 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
project14_DATA_origcopy.csvTabular Data - Non-harmonizedcsv5102
project14_DDE_DATA_origcopy.csvTabular Data - Non-harmonizedcsv5102

project14_DATA_transformcopy.csvTabular Data - Harmonizedcsv5102