Skip to main content
This repository is under review for potential modification in compliance with Administration directives.
Study Information

dbGaP Study Accession: phs003234

NIH Institute/Center: NIMHD

RADx Data Program: RADx-UP

DOI: 10.60773/z740-hc64

Release Date: 08/29/2023

Study Description: This RADx-UP Phase II proposal, “Social network diffusion of COVID-19 prevention for diverse Criminal Legal Involved Communities”, implemented a situation appropriate COVID-19 testing and vaccination social network diffusion intervention – C3 – building upon RADx-UP Phase I lessons and successful social network prevention interventions developed previously by the research team. C3 Criminal Legal Involved (CLI) populations encompassed those non-incarcerated who have experienced recent arrest, incarceration, probation, parole or diversion programs such as drug courts. While increases in COVID-19 testing have been observed among this group, there remain members with limited testing history as well as individuals who are vaccine hesitant. COVID-19 prevention messaging can no longer be simplified to “everyone test and/or everyone vaccinate” as testing and vaccination decisions among community members are sensitive to personal histories (i.e., prior infection), local infection rates (i.e., low rates) and testing/vaccination availability. As COVID-19 prevention efforts have become more complicated (i.e., test if exposed), people tend to focus on the messenger, and particularly those that are close to them. Personal connections and communications within existing personal network structures, such as families, friends and other trusted acquaintances represent the cornerstone to increase situation appropriate testing and overcoming COVID-19 vaccine hesitancy. C3 built upon RADx-UP I, by using a network diffusion approach facilitated through motivational interviewing purposefully geared to mobilize one’s own organic social network to increase context appropriate testing and vaccine uptake. Through this process, the study maximized the primary benefit and impact of this type of intervention which also has the intended effect of increasing likelihood that the messenger themselves will undergo the same behavior change that they have been trained to promote. The study leveraged infrastructure developed in RADx-UP Phase I, which included 4 high-impact sites across the Central US from Phase I: Baton Rouge LA, Little Rock AR, Indianapolis IN, and Chicago IL. The study utilized established engagement efforts already in place and continue to fully integrate communities in the strategic application of the intervention. The study used the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework to guide implementation. C3 aims to: Aim 1a. Test the efficacy (3-month situation appropriate testing or vaccination) of a network diffusion intervention (C3) versus an existing COVID-19 testing and vaccine linkage to care intervention among: 1) primary study participants (primary outcome); and 2) secondary study participants connected to primary participants (secondary outcome) using a RCT design. Aim 1b. Explore the mechanisms for differential intervention effects at the individual and network-level that may increase situation appropriate testing and/or vaccination uptake. Aim 2. Examine key RE-AIM components in real time tied to the implementation of the network diffusion intervention (C3).

Updated Date: 04/17/2024

Principal Investigator: Schneider, John

Has Data Files: Yes

Study Domain: Health Behaviors; Pandemic Perceptions or Decision-Making; Testing Rate or Uptake; Vaccination Rate or Uptake; Virological Testing

Data Collection Method: Survey

Keywords: Network Diffusion Intervention

Study Design: Interventional or Clinical Trial

Multi-Center Study: No

Data Types: Behavioral; Clinical; Questionnaire or Survey

Study Start Date: 01/01/2022

Study End Date: 11/30/2023

Species: Human

Estimated Cohort Size: 800

Study Population Focus: Adults; Incarcerated or Institutionalized Populations; Older Adults or Elderly; Underserved or Vulnerable Populations

Publication URL: https://pubmed.ncbi.nlm.nih.gov/36429763/

Acknowledgement Statement: This study was supported through funding, 5U01MD017414-02, for the National Institute on Minority Health and Health Disparities (NIMHD) as part of the RADx-UP program. This project would like to thank the study participants and their families for their involvement in this project. We would also like to thank our project staff, academic and community partners, and the community advisory board members. Approved users should acknowledge the provision of data access by dbGaP for accession phs003234.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: RFA-OD-21-008

NIH Grant or Contract Number(s): 5U01MD017414-02

Consent/Data Use Limitations: General Research Use

Variable Information
Total Variables: 252
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_nausea_vomiting_diarrheaNausea, vomiting, or diarrhea
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_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
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_feetFeet
self_reported_height_inchesInches
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_recontact-
consent_zip_2-
covid_pandemic_challenges_abod_2-
covid_pandemic_challenges_food_2-
covid_pandemic_challenges_wate_2-
covid_vaccine-
cov_pan_chal_hlth_2-
cov_pan_chal_med_2-
cov_pan_chlng_trans_2-
cov_tst_mthd_2-
disability_date_mdy-
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-
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-
language_pref-
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-
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_concerns_3___99-
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-
withdrawal_reason-
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 Documentationproject96_DDE_dictionary_origcopy.pdf3.24 MB
READMEproject96_README.html274.80 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
project96_DATA_transformcopy.csvTabular Data - Harmonizedcsv3599
project96_DATA_origcopy.csvTabular Data - Non-harmonizedcsv3599
project96_DDE_DATA_origcopy.csvTabular Data - Non-harmonizedcsv3599