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HAALSI COVID Survey: Bi-Directional Associations between Cognitive Function and COVID-19 in Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI)
Source: Harvard UniversityDate Published: 5/10/2021Format: PDFAnnotation: This survey instrument will be fielded among the existing cohort from the Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI), using a Computer-Assisted Telephone Interview (CATI). the survey is intended to collect information on the health, economic, and social impact of the COVID-19 pandemic on older adults in Agincourt, South Africa. The survey is funded by a supplement grant at the National Institute of Aging (NIA), which aims to assess the bi-directional associations between cognitive function and COVID-19 in HAALSI.
Questions Adapted From: Adapted from similar surveys conducted by other Health and Retirement Survey (HRS) sister studies, including HRS, SHARE, LASI, and ELSA. Questions are also adapted from the main HAALSI survey and the South African Population Research Infrastructure Network (SAPRIN) survey.
Population: Adults Only
Length: 74 questions
Time to Complete: Approximately 20 minutes
Mode of Administration: Telephone
Administered by: Professional Interviewer
Language(s): English, Shangaan...[See more] [See less]Type: Guideline/Assessment ToolAccess Notes: Free/Publicly Available
Available Formats: PDF
Contact Information: Harvard University and the University of Witwatersand haalsi@hsph.harvard.eduIncludes Research Tools: Yes.ID: 24246. From: Disaster Lit®a database of the U.S. National Library of Medicine. -
RADx Common Data Elements
Source: National Institutes of Health (NIH)Date Published: 3/25/2021Format: TextAnnotation: The RADx program represents an unprecedented investment by the NIH to mitigate the COVID-19 pandemic by accelerating access to testing. There is much to be learned, both in the present as well as over time. To glean the maximum value from the data generated through RADx, all studies involving human participants are required to collect information on 12 key data elements, referred to as common data elements (CDEs).
Guidance: https://disasterinfo.nlm.nih.gov/content/files/RADx_Exec_Guidance_equired_CDE.docx
Letter: https://disasterinfo.nlm.nih.gov/content/files/RADX_2021-03-25_Letter.docx
PDF version: https://disasterinfo.nlm.nih.gov/content/files/RADxExecCommRequiredCDEs2_RADx.pdf
REDCap: https://disasterinfo.nlm.nih.gov/content/files/RADx%20Exec%20Comm%20Required%20CDEs2%20_%20REDCap.pdf
Data Dictionary https://disasterinfo.nlm.nih.gov/content/files/RADxExecCommRequiredCDEs2_DataDictionary_2021-04-19.csv
Includes Common Data Elements From: Yes
Language(s): English...[See more] [See less]Type: Guideline/Assessment ToolAccess Notes: Free/Publicly Available
Available Formats: Text
Contact Information: Dr. Patti Brennan email: patti.brennan@nih.govIncludes Research Tools: Yes.ID: 24244. From: Disaster Lit®a database of the U.S. National Library of Medicine.REDCap: Yes. -
Novel Coronavirus (COVID) Illness - Patient Report (NCI-PR)
Source: New York University (NYU)Date Published: 3/5/2021Format: TextAnnotation: Novel Coronavirus (COVID) Illness - Patient Report (NCIPR) is a self-report measure of coronavirus testing, timing, symptoms and treatments. This is a self guided, patient-facing measure. It is recommended that this be administered with the NCIPR-Demographics measure, which includes participant age, brief medical history and additional relevant domains. Novel Coronavirus (COVID) Illness - Patient Report (NCI-PR) https://disasterinfo.nlm.nih.gov/content/files/COVID_Illness_Patient_Report_NCI-PR.pdf
Novel Coronavirus (COVID) Illness – Patient Report (NCIPR) - Demographics https://disasterinfo.nlm.nih.gov/content/files/COVID_Illness_NCIPR-Demographics.pdf
Population: Adults only
Length: 34-87 questions
Administered by: Self Administered/Self Report
Language(s): English...[See more] [See less]Type: Guideline/Assessment ToolAccess Notes: Free/Publicly Available
Available Formats: Text
Contact Information: Moriah.Thomason@nyulangone.orgIncludes Research Tools: Yes.ID: 24224. From: Disaster Lit®a database of the U.S. National Library of Medicine. -
COVID-19 Real-time Symptom Epidemiology Tracker (CORSET): Protocol
Source: Mongan Institute [Massachusetts General Hospital]Date Published: 2/8/2021Format: TextAnnotation: The proposed study will contact health care professionals working at Mass General Brigham (Partners Healthcare) or participants enrolled in the Harvard Nurses' Health Study, Harvard Nurses' Health Study II, Harvard Nurses' Health Study III (NHSII/NHSIII), Growing Up Today Study (GUTS), Health Professionals Follow-up Study (HPFS), American Cancer Society Cancer Prevention Study 3 cohorts and direct them to use "COVID-19 Symptom Tracker," a novel app for mobile devices designed to specifically capture self-reported information regarding symptoms associated with COVID-19 and use of PPE during the current COVID-19 pandemic.
Language(s): English
This is the protocol for the COVID Symptom Tracker App: https://dr2.nlm.nih.gov/search/?q=21648Type: Study Design/ProtocolAccess Notes: Free/Publicly Available
Available Formats: Text
Contact Information: predict@mgh.harvard.eduIncludes Research Tools: Yes.ID: 24213. From: Disaster Lit®a database of the U.S. National Library of Medicine. -
Coronagenes: Protocol
Source: University of EdinburghDate Published: 2/8/2021Format: TextAnnotation: An international population cohort to investigate genetic susceptibility to the novel coronavirus (COVID-19). This study seeks to recruit new participants from the general population during the COVID-19 pandemic into a large genetic epidemiological cohort. Recruitment (and subsequent saliva sampling and antibody testing) will take place remotely. Coronagenes re-purposes much of the infrastructure and expertise from the VIKING II study. This launched in January 2020 and paused in March 2020 due to the pandemic, with over 4,000 participants registered. In Coronagenes, data will be collected at baseline through an online questionnaire and longitudinally for UK participants through linkage to routine NHS data (and where possible other healthcare system data) in electronic health records (EHR).
Language(s): English...[See more] [See less]Type: Study Design/ProtocolAccess Notes: Free/Publicly Available
The is the protocol for the Coronagenes Study: https://dr2.nlm.nih.gov/search/?q=24210
Available Formats: Text
Contact Information: Jim Wilson, Professor of Human Genomics, University of Edinburgh Email: jim.wilson@ed.ac.ukIncludes Research Tools: Yes.ID: 24215. From: Disaster Lit®a database of the U.S. National Library of Medicine. -
Coronagenes
Source: University of EdinburghDate Published: 2/5/2021Format: PDFAnnotation: An international population cohort to investigate genetic susceptibility to the novel coronavirus (COVID-19). This study seeks to recruit new participants from the general population during the COVID-19 pandemic into a large genetic epidemiological cohort. Recruitment (and subsequent saliva sampling and antibody testing) will take place remotely. Coronagenes re-purposes much of the infrastructure and expertise from the VIKING II study. This launched in January 2020 and paused in March 2020 due to the pandemic, with over 4,000 participants registered. In Coronagenes, data will be collected at baseline through an online questionnaire and longitudinally for UK participants through linkage to routine NHS data (and where possible other healthcare system data) in electronic health records (EHR).
Population: All/anyone
Length: 50 questions
Language(s): English
Coronagenes Participant Information Sheet: https://disasterinfo.nlm.nih.gov/content/files/2020-07-08_Coronagenes_PIS_v4.0.docx
Short Daily Questionnaire Specification: https://disasterinfo.nlm.nih.gov/content/files/Short%20Daily%20Questionnaire%20Specification%20v1.0.pdf
Coronagenes Volunteer Consent: https://disasterinfo.nlm.nih.gov/content/files/Consent%20Full.PNG
The protocol for this study can be found in this record: https://dr2.nlm.nih.gov/search/?q=24215...[See more] [See less]Type: Guideline/Assessment ToolAccess Notes: Free/Publicly Available
Available Formats: PDF
Contact Information: Jim Wilson, Professor of Human Genomics, University of Edinburgh Email: jim.wilson@ed.ac.ukIncludes Research Tools: Yes.ID: 24210. From: Disaster Lit®a database of the U.S. National Library of Medicine. -
PReventing Emerging Infections through Vaccine EffectiveNess Testing Project: Project PREVENT
Source: University of Iowa (UI)Date Published: 1/13/2021Format: PDFAnnotation: Project PREVENT is a test-negative case-control study of health care personnel (HCP) in 16 US academic medical centers with the following primary objectives: (1) to evaluate post-introduction effectiveness of a complete schedule of SARS-CoV-2 vaccine in preventing laboratory-confirmed symptomatic COVID-19 among HCP (primary objective); (2) to estimate the post-introduction effectiveness of SARS-CoV-2 vaccines in preventing severe disease among those with laboratory-confirmed symptomatic COVID-19; (3) to identify differences in vaccine effectiveness by age group and comorbidity categories; (4) to evaluate vaccine effectiveness in various job categories and clinical practice settings; (5) to estimate the comparative effectiveness of different SARS-CoV-2 vaccines or, for vaccines with 2-dose schedules, 1 vs. 2-doses; (6) to compare health care and COVID-19 testing practices of HCP within specific job groups; (7) to describe quarantine, isolation, repeat testing, and return-to-work practices among vaccinated and unvaccinated HCP tested for COVID-19; (8) to identify factors associated with the decision to be vaccinated for SARS-CoV-2; and (9) to evaluate provider behavior changes, use of infection mitigation strategies, and decision-making in response to COVID-19 vaccination. Data will be collected by enrolling 10,000 HCP in participating sites who develop symptoms of COVID-19, and local project teams will verify (1) vaccination status (COVID-19 and influenza), (2) COVID-19 test results, and (3) healthcare utilization by requesting source document medical records. Modules included in this survey include: (1) participant eligibility/screening form; (2) participant baseline enrollment form/baseline participant survey; (3) participant 6-week follow-up form; (4) clinical trial participation form; (5) weekly facility form; (6) health care utilization abstraction/verification form; (7) vaccination abstraction/verification form; and (8) testing abstraction/verification form. In addition to survey data, medical records will be collected and abstracted to verify exposures and outcomes. Surveys are all administered from a central REDCap system across all sites, and participants are sent survey requests by email and text message. Surveys also can be administered by local site coordinators by telephone, as needed (although all data can be collected without telephone communication). The Data Collection Forms link to Data Dictionary Codebooks.
Questions Adapted From: Data collection instruments were adapted from "Emerging Infections Program Tracking of SARS-CoV-2 Infections and Assessing Vaccine Effectiveness among Healthcare Personnel," a project of the Centers for Disease Control and Prevention (CDC) Emerging Infections Program.
Population: Adult Workers
Length: 562
Time to Complete: Participant form estimates are as follows: Screening/Eligibility Form - 7 minutes; Baseline Survey - 16 minutes; Follow-up Survey - 12 minutes; Clinical Trial Form - 2 minutes
Mode of Administration: Online (e.g., computer-assisted interview)
Telephone
Administered by: Self Administered
Trained Lay Examiner/Interviewer
Special Considerations: All instruments are designed to be self-administered by electronic survey and upload portals, but some participants may provide data through a guided telephone interview by a trained interviewer.
Language(s): English, Spanish...[See more] [See less]Type: Guideline/Assessment ToolAccess Notes: Free/Publicly Available
Sections of the Survey tool:
Baseline Enrollment: https://disasterinfo.nlm.nih.gov/content/files/PREVENT_BaselineEnrollment_1231.pdf;
Clinical Trial: https://disasterinfo.nlm.nih.gov/content/files/PREVENT_ClinicalTrial_1231.pdf;
Follow Up: https://disasterinfo.nlm.nih.gov/content/files/PREVENT_FollowUp_1231.pdf;
Healthcare Abstraction: https://disasterinfo.nlm.nih.gov/content/files/PREVENT_HealthcareAbstraction_1231.pdf;
Identification: https://disasterinfo.nlm.nih.gov/content/files/PREVENT_Identifification_1231.pdf;
Screening: https://disasterinfo.nlm.nih.gov/content/files/PREVENT_Screening_1231.pdf;
Testing Verification: https://disasterinfo.nlm.nih.gov/content/files/PREVENT_TestingVerification_1231.pdf;
Vaccine Verification: https://disasterinfo.nlm.nih.gov/content/files/PREVENT_VaccineVerification_1231.pdf;
Weekly Facility: https://disasterinfo.nlm.nih.gov/content/files/PREVENT_WeeklyFacility_1231.pdf
Available Formats: PDF
Contact Information: Contact: Nicholas Mohr, MD, MS (nicholas-mohr@uiowa.edu) Project Leadership: Nicholas Mohr, MD (University of Iowa) and Dave Talan, MD (University of California-Los Angeles) Instrument Development Team: Nicholas Mohr, MD (University of Iowa) Dave Talan, MD (University of California-Los Angeles) Anusha Krishnadasan, PhD (University of California-Los Angeles) Karisa Harland, PhD (University of Iowa) Kelli Wallace, MS (University of Iowa) Karin Hoth, PhD (University of Iowa)Includes Research Tools: Yes.ID: 24208. From: Disaster Lit®a database of the U.S. National Library of Medicine. -
RADx-UP Common Data Elements
Source: Duke UniversityDate Published: 1/11/2021Format: TextAnnotation: RADx-UP is a part of RADx, the overall National Institutes of Health (NIH) initiative to help speed innovation in the development and implementation of COVID-19 testing. In order to ensure consistency in how RADx-UP projects collect data for the RADx Data Hub and simplify the analysis of that data, the NIH defined a set of Common Data Elements (CDEs). The NIH CDEs provide a standard set of study questions that RADx-UP projects are required to use in their COVID-19 testing studies. The RADx-UP Coordination and Data Collection Center (CDCC) also provided an Informed Consent Form (ICF) data sharing language template to help standardize the consent process.
The consistent use of the CDEs and ICF data sharing language by RADx-UP projects will allow the RADx-UP consortium to aggregate data from across all the populations and communities that projects study and engage. In addition, the CDCC will be able to deposit that collected data with the RADx Data Hub, leading to rapid and increased learning about this pandemic.
REDCap Data Dictionary Codebook PDF: https://radx-up.org/wp-content/uploads/2021/01/RADx-UP-_-REDCap20201230_codebook-.pdf
RADx-UP Data Dictionary Codebook CSV (updated Jan. 11th): https://radx-up.org/wp-content/uploads/2021/01/RADxUPDev_DataDictionary_2020-12-30.csv
RADx-UP PDF form for paper data collection: https://radx-up.org/wp-content/uploads/2021/01/RADxUP_20201230_forms.pdf
Spanish REDCap Data Dictionary Codebook PDF: https://radx-up.org/wp-content/uploads/2021/01/RADxUPDev_ES_20201230_codebook_20210127.pdf
Spanish REDCap Data Codebook CSV: https://radx-up.org/wp-content/uploads/2021/01/RADxUPDev_DataDictionary_2020-12-30_ES-US_20210127.csv
Spanish RADx-UP PDF form for paper data collection: https://radx-up.org/wp-content/uploads/2021/01/RADxUPDev_ES_20201230_forms_202010127.pdf
Data Transfer Agreement
RADx-UP CDCC Data Transfer Agreement: https://radx-up.org/wp-content/uploads/2021/02/RADx-UP-CDCC-Data-Transfer-Agreement-15Jan21.pdf
Data Harmonization Guidance
NIH Guidance on RADx-UP Data Harmonization: https://radx-up.org/wp-content/uploads/2021/01/RADx-UP_Data_Harmonization_Guidance_CDEs.pdf
Informed Consent Data Sharing
RADx-UP Informed Consent Data Sharing Template Language: https://radx-up.org/wp-content/uploads/2021/02/RADx-UP-ICF-template_v.1.0_12.30.2020.pdf
RADx-UP Informed Consent Data Sharing Template Language (Spanish): https://radx-up.org/wp-content/uploads/2021/02/RADx-UP-ICF-template_v.1.0_12.30.2020_ES-US.pdf
Population: Adults
Length: 265 questions
Mode of Administration: Online (e.g., computer-assisted interview), Paper/written
Language(s): English, Spanish...[See more] [See less]Type: Guideline/Assessment ToolAccess Notes: Free/Publicly Available
RADx-UP Toolkit https://radx-up.org/toolkit/: The Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) Coordination and Data Collection Center (CDCC) toolkit provides resources and materials to support the work of our RADx-UP projects and partners.
Available Formats: Text
Contact Information: Laura Johnson (DCRI) Email: laura2.johnson@duke.eduIncludes Research Tools: Yes.ID: 24221. From: Disaster Lit®a database of the U.S. National Library of Medicine.REDCap: Yes. -
COVID-19 Beliefs, Behaviors & Norms Survey (KAP CoVID Study)
Source: Johns Hopkins University, Bloomberg School of Public HealthDate Published: 1/2021Format: PDFAnnotation: This study was implemented in collaboration between John Hopkins Bloomberg School of Public Health's Center for Communication Programs with the Massachusetts Institute of Technology (MIT), the World Health Organization and Facebook's Data for Good. Sixty-nine countries were identified for recruitment of Facebook users at the outset of this study. Countries were selected where Facebook usage was sufficiently widespread and could plausibly result in samples representing a range of national characteristics. Twenty countries were identified as longitudinal (wave) countries and another 49 countries were identified as cross-sectional (snapshot) countries. In the end, two countries were removed due to inadequate response rates.
Wave 1 Survey: https://ccp.jhu.edu/wp-content/uploads/Global_Survey_Brief_Methods_Section.pdf (published July 6, 2020)
Wave 2 Survey: https://ccp.jhu.edu/wp-content/uploads/Survey-v1-and-v2_jan2021.pdf (published January 2021)
Population: All/Anyone
Length: 134 questions
Language(s): English...[See more] [See less]Type: Guideline/Assessment ToolAccess Notes: Free/Publicly Available
Find more information on the study: https://covidsurvey.mit.edu/
Citation(s):
Collis, A., Garimella, K., Moehring, A., Rahimian, M.A., Babalola, S., Gobat, N., Shattuck, D., Stolow, J., Eckles, D., & Aral, S. (2020). Global survey on COVID-19 beliefs, behaviors, and norms. Technical report, MIT Sloan School of Management https://covidsurvey.mit.edu/covid_survey_files/COVID_BBN_survey_report.pdf
Available Formats: PDF
Contact Information: CCPinfo@jhu.eduIncludes Research Tools: Yes.ID: 24216. From: Disaster Lit®a database of the U.S. National Library of Medicine. -
C4R COVID-19 Questionnaire: Collaborative Cohort of Cohorts for COVID-19 Research
Source: Columbia UniversityDate Published: 1/2021Format: PDFAnnotation: The purpose of this questionnaire is to ascertain data on COVID-19 testing, self-reported COVID-19 diagnoses and hospitalizations, symptoms, recovery, re-infection, and vaccination. It also assesses the impact of the pandemic on access to healthcare, finances, health-related behaviors, social interactions, and mood. This questionnaire can be administered to individuals with no prior COVID assessments as well as those with prior COVID assessments. If prior assessments are available, text is provided to guide the interviewer to gather new information.
Questions Adapted From: Please see page 2 of the questionnaire.
Population: Adults only
Mode of Administration: Online (e.g., computer-assisted interview)
Pen and Paper
Telephone
Administered by: Professional Interviewer
Self Administered
Specialist/Doctor/Expert
Trained Lay Examiner/Interviewer
Language(s): English, Spanish, Chinese...[See more] [See less]Type: Guideline/Assessment ToolAccess Notes: Free/Publicly Available
Find information about Data collection for the Collaborative Cohort of Cohorts for COVID-19 Research (C4R): https://c4r-nih.org/content/data-collection
Redcap data dictionary and codebook are available upon request.
As part of the NIH NHLBI CONNECTS program, the C4R observational study is collecting participant data and samples to better understand COVID-19 and the associated symptoms and side effects. Find more information on the CONNECTS component of the C4R study: https://nhlbi-connects.org/secure/study/6.
Citation(s):
C4R Investigators (2020). C4R Questionnaire.
Available Formats: PDF
Contact Information: c4r@cumc.columbia.eduIncludes Research Tools: Yes.ID: 24223. From: Disaster Lit®a database of the U.S. National Library of Medicine.REDCap: Yes.
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