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Study Information

dbGaP Study Accession: phs002920

NIH Institute/Center: NLM

RADx Data Program: RADx-UP

DOI: 10.60773/ksgc-r355

Release Date: 08/29/2023

Study Description: African American and Latinx communities nationally and in California not only bear a disproportionate burden of COVID-19 positive cases and deaths but are also not taking part in COVID-19 testing for a wide range of understudied reasons. This can have profound implications in safety net health care settings that care for the most vulnerable patients. The Los Angeles County Department of Health Services (LACDHS) is the second largest publicly operated county safety net health care system in the United States, serving more than 750,000 patients annually. Timely access to health care in this under-resourced, high-need setting has been an ongoing challenge for its majority Latinx and African American patients. With the current pandemic, COVID-19 testing for patients has become integral to receiving critical health care, from treatment for symptomatic disease to the first step in providing procedural care. However, the range of reasons why patients refuse COVID-19 testing and vaccinations is little understood. To this end, the study proposed to explore the obstacles to COVID-19 testing and vaccinations to provide COVID-19 specific training to LACDHS Community Health Workers (CHWs) from these same communities to effectively address: a) the primary goal of increasing COVID-19 testing and vaccinations for individual patients, and b) developing a sustained public health presence in these communities to build trust and preparedness for critical COVID-19 related future needs. Trained CHWs can help to more effectively overcome obstacles to COVID-19 testing and vaccinations, including historical barriers of mistrust, provide COVID-19 health education, help address social determinants of health and help facilitate technological literacy to improve patient access to testing and care in a telehealth environment. The proposal used a multidisciplinary, mixed-methods approach including unsupervised machine learning and qualitative interviews to systematically explore barriers and facilitators to COVID-19 testing/vaccinations among vulnerable safety net patients. The study then trained clinically-based, ethnically/linguistically matched CHWs to implement a hypothesis-driven intervention consisting of six group classes and six personalized patient encounters with African American and Latinx safety net patients. This study had the following specific aims: Aim 1- Utilize machine learning methods to assess whether there are characteristics that define two sets of African American and Latinx safety net patients, a) those who engage in or refuse COVID-19 testing and b) those who engage in or refuse COVID-19 vaccinations; Aim 2 - Conduct in-depth interviews with African American and Latinx patients who either declined or accepted COVID-19 testing and/or vaccinations to explore contextual, behavioral, and attitudinal factors shaping patient circumstances and concerns; Aim 3 - Develop, implement, and pre-test a CHW intervention with the information from Aims 1 and 2, utilizing a randomized control design among African American and Latinx safety net patients to assess the effect of the CHW hypothesis-driven intervention on trust, self-efficacy, and intent to participate in COVID-19 testing/ re-testing and vaccinations.

Updated Date: 04/17/2024

Principal Investigator: Ogunyemi, Omolola I

Has Data Files: Yes

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

Data Collection Method: Interview or Focus Group; Survey

Keywords: Building Trust Amongst Marginalized Communities

Study Design: Interventional or Clinical Trial

Multi-Center Study: Yes

Study Sites: Charles R. Drew University of Medicine and Science; Los Angeles County Department of Health Services

Data Types: Behavioral; Electronic Medical Records; Questionnaire or Survey

Study Start Date: 09/09/2020

Study End Date: 11/30/2022

Species: Human

Estimated Cohort Size: 128

Study Population Focus: Adults; African Americans; Hispanics or Latinos; Older Adults or Elderly; Racial or Ethnic Minorities; Underserved or Vulnerable Populations

Acknowledgement Statement: This study was supported through funding, 3R01LM012309-04S2, for the National Library of Medicine (NLM) as part of the RADx-UP program. We acknowledge the support of project staff, community health workers and study participants from the Los Angeles County Department of Health Services in acquiring these data. Approved users should acknowledge the provision of data access by dbGaP for accession phs002920.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-13-302

NIH Grant or Contract Number(s): 3R01LM012309-04S2

Consent/Data Use Limitations: General Research Use

Variable Information
Total Variables: 257
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_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_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
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?
access_wifi-
alcohol_date_mdy-
alcohol_daysperweek-
consentdt_mdy-
consent_given-
consent_recontact-
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_concerns-
housing_date_mdy-
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-
mmistrust_1-
mmistrust_2-
mmistrust_3-
mmistrust_4-
mmistrust_5-
mmistrust_6-
mmistrust_7-
mmistrust_8-
participant_consent-
participant_consent_audio-
participant_minor-
participant_recording-
positivemonth_covidtest_2-
positiveyear_covidtest_3-
pp_chw_1-
pp_chw_2-
pp_chw_y_believe-
pp_chw_y_family-
pp_chw_y_future-
pp_chw_y_trust-
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_efficacy_1-
self_efficacy_10-
self_efficacy_11-
self_efficacy_12-
self_efficacy_13-
self_efficacy_14-
self_efficacy_15-
self_efficacy_16-
self_efficacy_17-
self_efficacy_2-
self_efficacy_3-
self_efficacy_4-
self_efficacy_5-
self_efficacy_6-
self_efficacy_7-
self_efficacy_8-
self_efficacy_9-
self_reported_health_status_assessment-
self_reported_height_coded-
self_reported_weight_units_2-
sex_orient_id-
sociodem_date_mdy-
stable_housing-
technology_use-
test_accesseasy_2-
test_access_know-
test_accesswhere_2-
test_date_mdy-
tested_for_covid-
tested_positive_for_covid-
test_intent_2-
test_pbenearound_2-
test_pbeneexposed_2-
test_pbenepos_2-
test_pbenesafe_2-
test_pbenework_2-
test_pbeneworry_2-
test_percvtestneg___1-
test_percvtestneg___2-
test_percvtestneg___3-
test_percvtestneg___4-
test_percvtestpos___1-
test_percvtestpos___2-
test_percvtestpos___3-
test_priskcontact_2-
test_priskhlthcare_2-
test_priskknow_2-
test_prisklater_2-
test_prisknohelp_2-
test_prisknosymp_2-
vacc_date_mdy-
vaccine_avail-
vaccine_booster_aware-
vaccine_booster_knowledge-
vaccine_change_opinion-
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_convnt_loc-
vaccine_immigrationstatus-
vaccine_infertile-
vaccine_literacy-
vaccine_misswork-
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_unknowneffects-
vaccine_worry_required-
Study Documents
Study Documents Table
Document
Document Name
File Size
Download
READMEproject60_README.html274.47 KB
Study Documentationproject60_DDE_dictionary_origcopy.csv77.21 KB
Study Documentationphs002920_Project 60_Protocol.pdf301.88 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
project60_DATA_transformcopy.csvTabular Data - Harmonizedcsv187
project60_DATA_origcopy.csvTabular Data - Non-harmonizedcsv187
project60_DDE_DATA_origcopy.csvTabular Data - Non-harmonizedcsv187