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

dbGaP Study Accession: phs003082

NIH Institute/Center: NIMHD

RADx Data Program: RADx-UP

DOI: 10.60773/s244-bp16

Release Date: 08/29/2023

Study Description: People with criminal legal system involvement (CLSI) have experienced five times as many COVID-19 infections and have three times the risk of death compared to general population in the U.S. Heavily impacted by COVID-19 and squarely within NIH health disparities populations, people with CLSI are often poor and disproportionately from racial and ethnic minority groups. Despite the increased risk of COVID-19, it is expected that only one-half of people with CLSI will get vaccinated. Ongoing COVID-19 testing in communities and among groups that are not vaccinated will be key to containing the pandemic. The messaging that COVID-19 testing will still be important may not be getting through to people who are at risk - a critical driver of disparities. This team had a unique opportunity to boost testing literacy, access, and uptake using mobile health (mHealth) technologies (text and Web) to reach women with CLSI in community settings who are part of the existing Tri-City Cohort drawn from geographically and socio-politically diverse cities: Birmingham, AL, Kansas City, MO/KS, and Oakland, CA. This application was highly responsive to the RADx-UP Phase II call for research that tests interventions to reduce COVID-19 disparities among underserved populations. The team was positioned to embed the study into an existing Web-based women's health literacy intervention platform (www.shewomen.org, 2R01CA181047) for women leaving jail. The study was also able to immediately push the mHealth COVID-19 testing literacy intervention to 508 women that have already recruited to a three-city cervical health study of women with CLSI (R01CA226838), and to promptly make this scalable intervention widely available to people with CLSI. The study engaged the women as stakeholders to study regional and individual differences in COVID-19 testing and vaccine literacy, access, and uptake. This study used findings to rapidly develop an mHealth intervention focused on COVID-19 literacy, and then pushed the intervention to CLSI women in the three cities to boost COVID-19 literacy, testing, access, and uptake, and vaccination. Findings were used to develop dissemination strategies with stakeholders to push the mHealth intervention to the two million women and 11 million men who interface with the criminal legal system annually in the U.S.

Updated Date: 04/17/2024

Principal Investigator: Ramaswamy, Megha

Has Data Files: Yes

Study Domain: Digital Health Applications; Social Determinants of Health; Testing Rate or Uptake; Vaccination Rate or Uptake; Virological Testing

Data Collection Method: Interview or Focus Group; Survey

Keywords: COVID Education; Health Literacy; Improving Access to COVID-related Interventions; Individual-Level Data; mHealth

Study Design: Longitudinal Cohort

Multi-Center Study: No

Data Types: Behavioral; Questionnaire or Survey

Study Start Date: 01/01/2022

Study End Date: 11/30/2022

Species: Human

Estimated Cohort Size: 508

Study Population Focus: Adults; Incarcerated or Institutionalized Populations; Lower Socioeconomic Status (SES) Populations; Older Adults or Elderly; Racial or Ethnic Minorities; Underserved or Vulnerable Populations

Study Website URL: https://www.kumc.edu/school-of-medicine/academics/departments/population-health/research/sexual-health-empowerment/projects.html

ClinicalTrials.gov URL: https://clinicaltrials.gov/study/NCT05582746

Acknowledgement Statement: This study was supported through funding, 1U01MD017415-01, for the National Institute on Minority Health and Health Disparities (NIMHD) as part of the RADx-UP program. We would like to acknowledge the participants for giving their time and perspectives. We would like to thank the field staff in Kansas City, Oakland and Birmingham. Approved users should acknowledge the provision of data access by dbGaP for accession phs003082.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): 1U01MD017415-01

Consent/Data Use Limitations: General Research Use

Variable Information
Total Variables: 260
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_feetFeet
self_reported_height_inchesInches
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_zip_2-
covid_fatique_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-
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-
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-
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-
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 Documentationphs003082_Project 95_Protocol.pdf137.17 KB
READMEproject95_README.html274.81 KB
Data Files
Total Files: 6
Data Files: 2
Metadata Files: 2
Dictionary Files: 2
Study Datasets Table
File Name
File Type
File Format(s)
# of Records
# of Variables
Metadata
Dictionary
project95_DATA_transformcopy.csvTabular Data - Harmonizedcsv861
project95_DATA_origcopy.csvTabular Data - Non-harmonizedcsv861