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A Framework for Sustainable Contact Tracing and Exposure Investigation for Large Health Systems.
Breeher, Laura; Boon, Ashton; Hainy, Caitlin; Murad, M Hassan; Wittich, Christopher; Swift, Melanie.
  • Breeher L; Division of Preventive, Occupational, and Aerospace Medicine, Mayo Clinic, Rochester, MN; Occupational Health Services, Mayo Clinic, Rochester, MN. Electronic address: breeher.laura@mayo.edu.
  • Boon A; Legal Department, Mayo Clinic, Rochester, MN.
  • Hainy C; Occupational Health Services, Mayo Clinic, Rochester, MN.
  • Murad MH; Division of Preventive, Occupational, and Aerospace Medicine, Mayo Clinic, Rochester, MN.
  • Wittich C; Division of Internal Medicine, Mayo Clinic, Rochester, MN.
  • Swift M; Division of Preventive, Occupational, and Aerospace Medicine, Mayo Clinic, Rochester, MN.
Mayo Clin Proc ; 95(7): 1432-1444, 2020 07.
Article in English | MEDLINE | ID: covidwho-599150
ABSTRACT
Contact tracing is a cornerstone of communicable disease containment and involves identifying, quarantining, and monitoring contacts of infected people. Although contact tracing is a known evidence-based strategy in the community setting, the COVID-19 pandemic highlighted the challenges to implementing labor-intensive contact tracing in the occupational setting of large health care systems and hospitals, the epicenter of the pandemic. We present a framework for feasible, scalable COVID-19 contact tracing in a large multistate health system in the United States employing approximately 69,000 health care personnel. The framework is shared with sufficient details to allow adoption or adaptation by other health systems. Continuous enhancement, optimization, and evaluation of the framework are ongoing.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Quarantine / Contact Tracing / Coronavirus Infections / Delivery of Health Care / Betacoronavirus Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Mayo Clin Proc Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Quarantine / Contact Tracing / Coronavirus Infections / Delivery of Health Care / Betacoronavirus Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Mayo Clin Proc Year: 2020 Document Type: Article