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 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_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? |
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 | - |