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 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_zip | What is your zip code? |
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? |
zip_code | Zip 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 | - |