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Study Information

dbGaP Study Accession: phs003126

NIH Institute/Center: NIDA

RADx Data Program: RADx-UP

DOI: 10.60773/ewt6-jf83

Release Date: 02/21/2023

Study Description: Throughout the COVID-19 pandemic in the U.S., persons in jails have borne a share of disease 3-fold or greater than that seen in the general population. While many cases have been imported from surrounding communities, crowding in these congregate settings has led to rapid in-house transmission, especially since testing in jails has been sparse. Vaccine hesitancy among staff and those detained mean the population is ill prepared for new waves of infection, perhaps from virus variants. Better surveillance could warn systems earlier, and allow jails to stem the tide of a new outbreak. At least half, if not more, of infected persons shed coronavirus in their stool. Monitoring wastewater is a promising practice that only a few jails have adopted. The overarching goal was to introduce or refine Wastewater Based Surveillance (WBS) as an evidence-based strategy for SARS-CoV-2 surveillance in the jails of Atlanta, Chicago, suburban Boston and Washington DC. It was adapted to the needs of jail settings and evaluated the implementation with the Consolidated Framework for Implementation Research. Implementation teams were formed of both correctional staff and formerly incarcerated individuals. Project aims: (1) To assess the barriers to and facilitators of implementing WBS for SARS-CoV-2 detection in 4 jail demonstration sites. Guided by CFIR, an informational webinar was held followed by focus groups. Four were with leaders at each of the jails; these discussed the site-specific context in which WBS was introduced or refined. A fifth, cross-site focus group of jail workers, and a sixth, cross-site group of persons with lived jail experience, reflected on characteristics of WBS approaches and implementation strategies in jail settings. (2) To measure implementation outcomes associated with WBS and use these outcomes to inform key stakeholders, using a knowledge to action framework. The study examined uptake, acceptability, appropriateness and feasibility of WBS as a sensitive early warning system and a way of quantifying SARS-CoV-2 levels to monitor trends in COVID-19 prevalence. Feasibility, the suitability of how WBS data are acted upon, was of utmost importance. The study used the Knowledge to Action process model, leveraging implementation outcomes to further engage stakeholders and characterize the adaptions needed to successfully implement WBS in jails. (3, Pilot) To study the process and the perceived effectiveness of incorporating diverse stakeholders, including the formerly incarcerated, on the WBS implementation team. The study used the Research Engagement Survey Tool (REST), to survey early in the implementation process and eight months later, individuals on the implementation team who have lived experience in jail; all other consenting implementation team members were surveyed once early in the implementation process. Successfully completing the aims determined factors that promote WBS implementation to improve disease.

Updated Date: 02/21/2023

Principal Investigator: Spaulding, Anne C

Has Data Files: Yes

Study Domain: Wastewater Surveillance

Data Collection Method: Interview or Focus Group; Survey

Keywords: COVID Transmission; Congregate Settings

Study Design: Longitudinal Cohort

Multi-Center Study: Yes

Study Sites: Albert Einstein College of Medicine; Cook County HHS; Tufts Medicine

Data Types: Questionnaire or Survey; Social

Study Start Date: 01/15/2022

Study End Date: 12/31/2023

Species: Human

Estimated Cohort Size: 40

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

Acknowledgement Statement: This study was supported through funding, 5U01DA056000-02, for the National Institute on Drug Abuse (NIDA) as part of the RADx-UP program. We acknowledge participating staff members, contractors and former residents of Fulton County Jail (Atlanta, GA), Washington, DC Jail (Washington, D.C DOC), Middlesex County Jail (Billerica, MA), Cook County Jail (Chicago, IL). Approved users should acknowledge the provision of data access by dbGaP for accession phs003126.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-21-009

NIH Grant or Contract Number(s): 5U01DA056000-02

Consent/Data Use Limitations: General Research Use

Variable Information
Total Variables: 146
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_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?
alcohol_daysperweek-
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-
household_famgen_3-
index-
isolate_maintain_job-
jobloss_covid19_2-
language_home___47-
language_home___9-
language_pref-
positivemonth_covidtest_2-
positiveyear_covidtest_3-
quarantine_maintain_job-
race_ethn_race___2-
race_ethn_race___5-
recentmonth_covidtest_2-
recentresult_covidtest-
recentyear_covidtest_3-
redcap_repeat_instance-
redcap_repeat_instrument-
self_reported_health_status_assessment-
self_reported_height_coded-
self_reported_weight_units_2-
sex_orient_id-
test_accesseasy_2-
test_accesswhere_2-
tested_for_covid-
tested_positive_for_covid-
vaccine_concerns_3___96-
vaccine_reasons_3___1-
vaccine_reasons_3___10-
vaccine_reasons_3___11-
vaccine_reasons_3___2-
vaccine_reasons_3___3-
vaccine_reasons_3___6-
vaccine_reasons_3___7-
vaccine_reasons_3___8-
work_closecont_2-
work_ppe_2-
work_wash_2-
Study Documents
Study Documents Table
Document
Document Name
File Size
Download
Study Documentationphs003126_Project 104_Protocol.pdf1.01 MB
Study Documentationproject104_DDE_dictionary_origcopy.csv43.39 KB
READMEproject104_README.html274.33 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
project104_DATA_transformcopy.csvTabular Data - Harmonizedcsv2
project104_DDE_DATA_origcopy.csvTabular Data - Non-harmonizedcsv2

project104_DATA_origcopy.csvTabular Data - Non-harmonizedcsv2