dbGaP Study Accession: phs002869
NIH Institute/Center: NCI
RADx Data Program: RADx-UP
DOI: 10.60773/swwm-cp96
Release Date: 08/30/2023
Study Description: Pronounced inequities and disparities in coronavirus disease (COVID-19) morbidity and mortality have been reported, largely due to comorbid conditions and social determinants of health. Approximately 95% of COVID-19 related deaths occur among individuals with underlying medical conditions. Of all racial/ethnic groups, Hispanic/Latino communities in San Diego County have experienced the greatest burden of COVID-19 disease and deaths. Furthermore, testing challenges to date are evident, including long turnaround of test results and longer waiting times for African American and Hispanics compared to whites. The goal of this community-engaged proposal was to develop, test, and evaluate a rapid, scalable capacity building project to enhance COVID-19 testing in three regional community health centers (CHCs) in San Diego County. In collaboration with CHC partners, their consortium organization (Health Quality Partners), and community stakeholders, the following Specific Aims were proposed: 1) Compare the effectiveness of automated calls and text messaging for uptake of COVID-19 testing among asymptomatic adult patients with select medical conditions and those 65 years of age and older receiving care at participating CHCs. Secondarily, all study participants were invited to receive flu vaccination and feasibility and acceptability of study participants to refer adult family household members who are essential workers for COVID-19 testing were assessed. 2) Gather patient, provider, CHC leadership, and community stakeholder insights to establish best practices for future scale-up of COVID-19 testing sustainability and vaccination. This community-engaged project included underserved (socioeconomically disadvantaged and large proportion of Hispanic/Latinos) as well as COVID-19 vulnerable individuals (patients with medical comorbidities and 65 years of age and older). The approach considered regional COVID-19 morbidity and mortality disparities to identify strategies to address disproportionate infection rates and follow-up. By working in partnership with health care providers, health care system leaders, and community stakeholders, this team had the potential to build evidence-based approaches and identify sustainable solutions to understand and address the current and future pandemics in these underserved and vulnerable populations.
Updated Date: 04/17/2024
Principal Investigator: Martinez, Maria Elena
Has Data Files: Yes
Study Domain: Diagnostic Testing; Influenza; Social Determinants of Health; Testing Rate or Uptake
Data Collection Method: Survey
Keywords: Asymptomatic Populations; COVID-19 Morbidity Rates; COVID-19 Mortality Rates; Individual-Level Data
Study Design: Interventional or Clinical Trial
Multi-Center Study: No
Data Types: Behavioral; Clinical; Electronic Medical Records; Questionnaire or Survey; Social
Study Start Date: 11/01/2020
Study End Date: 08/31/2023
Species: Human
Sample Size: 1778
Study Population Focus: Adults; Children; Hispanics or Latinos; Lower Socioeconomic Status (SES) Populations; Older Adults or Elderly; Underserved or Vulnerable Populations
ClinicalTrials.gov URL: https://clinicaltrials.gov/study/NCT05315908
Publication URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744798/; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9662780/
Acknowledgement Statement: This study was supported through funding, 3UH3CA233314-02S1, for the National Cancer Institute (NCI) as part of the RADx-UP program. We would like to thank all researchers and staffs for their commitment and dedication to this study. We thank all research volunteers for their contribution through their participation in this study. Approved users should acknowledge the provision of data access by dbGaP for accession phs002869.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): 3UH3CA233314-02S1
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_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_insurance | What kind of health insurance do you have? |
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_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_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_pregnancy | Pregnancy status |
nih_immunocompromised | Immunocompromised condition |
nih_copd | Chronic obstructive pulmonary disease (COPD) |
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) |
cc_asthma_2 | Asthma |
cc_cancer_2 | Cancer diagnosis and/or treatment within the past 12 months |
cc_chronickd_2 | Chronic kidney disease (CKD) |
cc_copd_2 | Chronic obstructive pulmonary disease (COPD) |
cc_cvd_2 | Cardiovascular disease (CVD or heart disease) |
cc_diabetes_2 | Diabetes |
cc_hypertension_2 | Hypertension (HTN, high blood pressure) |
cc_imm_2 | Immunocompromised condition |
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_height_centimeters | Centimeters |
self_reported_height_feet | Feet |
self_reported_height_inches | Inches |
self_reported_height_meters | Meters |
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 |
birth_place | - |
consent_zip_2 | - |
covid_pandemic_challenges_abod_2 | - |
covid_pandemic_challenges_food_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_type | - |
covid_vaccine | - |
covid_vaccine_course | - |
cov_pan_chal_med_2 | - |
edu_years_of_school | - |
employed_ew | - |
employed_healthcare_2 | - |
family_income | - |
fi_change_diet | - |
flu_vaccinehistind_2 | - |
flu_vaccine_season_3 | - |
gender_identity_term_2 | - |
hi_coverage_type.1 | - |
hlthstat_date_mdy | - |
household_congregate_3 | - |
household_famgen_3 | - |
household_homeless | - |
index | - |
intervention_arm | - |
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 | - |
marital_status | - |
med_hx_date_mdy | - |
missed_procedure_2 | - |
person_test | - |
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_hispanic_detail_2___1 | - |
race_ethn_hispanic_detail_2___2 | - |
race_ethn_hispanic_detail_2___3 | - |
race_ethn_hispanic_detail_2___4 | - |
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_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 | - |
redcap_event_name | - |
redcap_repeat_instance | - |
redcap_repeat_instrument | - |
self_reported_height_coded | - |
self_reported_weight_units_2 | - |
sociodem_date_mdy | - |
study_design | - |
test_accesseasy_2 | - |
test_accesswhere_2 | - |
tested_for_covid | - |
tested_positive_for_covid | - |
test_intent_2 | - |
test_resneg_2___1 | - |
test_resneg_2___2 | - |
test_resneg_2___3 | - |
test_resneg_2___4 | - |
test_respos_2___1 | - |
test_respos_2___2 | - |
test_respos_2___3 | - |
trust_coll_2 | - |
trust_cortf_2 | - |
trust_doc_2 | - |
trust_fam_2 | - |
trust_flead_2 | - |
trust_news_2 | - |
trust_social_2 | - |
trust_usgov_2 | - |
vacc_date_mdy | - |
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_details | - |
vaccine_reasons___10 | - |
vaccine_reasons___11 | - |
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 | - |
vaccine_reasons_details | - |
work_closecont_2 | - |
work_ppe_2 | - |
work_wash_2 | - |