Your browser doesn't support javascript.
Nursing home staff networks and COVID-19.
Chen, M Keith; Chevalier, Judith A; Long, Elisa F.
  • Chen MK; Anderson School of Management, University of California, Los Angeles, CA 90095; keith.chen@anderson.ucla.edu.
  • Chevalier JA; Yale School of Management, Yale University, New Haven, CT 06511.
  • Long EF; National Bureau of Economic Research, Cambridge, MA 02138.
Proc Natl Acad Sci U S A ; 118(1)2021 01 07.
Article in English | MEDLINE | ID: covidwho-1066037
ABSTRACT
Nursing homes and other long-term care facilities account for a disproportionate share of COVID-19 cases and fatalities worldwide. Outbreaks in US nursing homes have persisted despite nationwide visitor restrictions beginning in mid-March. An early report issued by the Centers for Disease Control and Prevention identified staff members working in multiple nursing homes as a likely source of spread from the Life Care Center in Kirkland, WA, to other skilled nursing facilities. The full extent of staff connections between nursing homes-and the role these connections serve in spreading a highly contagious respiratory infection-is currently unknown given the lack of centralized data on cross-facility employment. We perform a large-scale analysis of nursing home connections via shared staff and contractors using device-level geolocation data from 50 million smartphones, and find that 5.1% of smartphone users who visited a nursing home for at least 1 h also visited another facility during our 11-wk study period-even after visitor restrictions were imposed. We construct network measures of connectedness and estimate that nursing homes, on average, share connections with 7.1 other facilities. Traditional federal regulatory metrics of nursing home quality are unimportant in predicting outbreaks, consistent with recent research. Controlling for demographic and other factors, a home's staff network connections and its centrality within the greater network strongly predict COVID-19 cases.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / SARS-CoV-2 / COVID-19 / Nursing Homes Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Female / Humans / Male Language: English Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / SARS-CoV-2 / COVID-19 / Nursing Homes Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Female / Humans / Male Language: English Year: 2021 Document Type: Article