A Risk Assessment Tool for Resumption of Research Activities During the COVID-19 Pandemic.


Journal

Research square
Titre abrégé: Res Sq
Pays: United States
ID NLM: 101768035

Informations de publication

Date de publication:
12 Nov 2020
Historique:
entrez: 17 11 2020
pubmed: 18 11 2020
medline: 18 11 2020
Statut: epublish

Résumé

The spread of severe acute respiratory syndrome coronavirus-2 has suspended many non-COVID-19 related research activities. Where restarting research activities is permitted, investigators need to evaluate the risks and benefits of resuming data collection and adapt procedures to minimize risk. In the context of the multicountry Household Air Pollution Intervention (HAPIN) trial, we developed a framework to assess the risk of each trial activity and to guide protective measures. Our goal is to maximize integrity of reseach aims while minimizing infection risk based on the latest understanding of the virus. We drew on a combination of expert consultations, risk assessment frameworks, institutional guidance and literature to develop our framework. We then systematically graded clinical, behavioral, laboratory and field environmental health research activities in four countries for both adult and child subjects using this framework. Our framework assesses risk based on staff proximity to the participant, exposure time between staff and participants, and potential aerosolization while performing the activity. One of of four risk levels, from minimal to unacceptable, is assigned and guidance on protective measures is provided. Those activities which can potentially aerosolize the virus are deemed the highest risk. By applying a systematic, procedure-specific approach to risk assessment for each trial activity, we can compare trial activities using the same criteria. This approach allows us to protect our participants and research team and to uphold our ability to deliver on the research commitments we have made to our participants, local communities, and funders. The trial is registered with clinicaltrials.gov (NCT02944682).

Identifiants

pubmed: 33200126
doi: 10.21203/rs.3.rs-103997/v1
pmc: PMC7668754
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT02944682']

Types de publication

Preprint

Langues

eng

Commentaires et corrections

Type : UpdateIn

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Auteurs

Suzanne M Simkovich (SM)

MedStar Health Research Institute.

Lisa M Thompson (LM)

Emory University Nell Hodgson Woodruff School of Nursing.

Maggie Clark (M)

Colorado State University.

Kalpana Balakrishnan (K)

Sri Ramachandra Institute for Higher Education and Research.

Alejandra Bussalleu (A)

Universidad Peruana Cayetano Heredia.

William Checkley (W)

Johns Hopkins: Johns Hopkins University.

Thomas Clasen (T)

Emory University School of Public Health.

Victor Davila-Roman (V)

Washington University In St Louis: Washington University in Saint Louis.

Anaite Diaz-Artiga (A)

Universidad del Valle de Guatemala.

Lisa de Las Fuentes (L)

Washington University In St Louis: Washington University in Saint Louis.

Steven Harvey (S)

Johns Hopkins University.

Miles Kirby (M)

Harvard University.

Amy Lovvorn (A)

Emory University.

Eric McCollum (E)

Johns Hopkins: Johns Hopkins University.

Jennifer Peel (J)

Colorado State University.

Ashlinn Quinn (A)

National Institutes of Health.

Ghislaine Rosa (G)

London School of Hygiene & Tropical Medicine.

Lindsay Underhill (L)

Johns Hopkins: Johns Hopkins University.

Kendra Williams (K)

Johns Hopkins: Johns Hopkins University.

Bonnie Young (B)

Colorado State University.

Joshua Rosenthal (J)

National Institutes of Health.

Classifications MeSH