Development of a healthcare system COVID Hotspotting Score in California: an observational study with prospective validation

BMJ Open. 2021 Jul 26;11(7):e048211. doi: 10.1136/bmjopen-2020-048211.

Abstract

Objective: To examine the value of health systems data as indicators of emerging COVID-19 activity.

Design: Observational study of health system indicators for the COVID Hotspotting Score (CHOTS) with prospective validation.

Setting and participants: An integrated healthcare delivery system in Northern California including 21 hospitals and 4.5 million members.

Main outcome measures: The CHOTS incorporated 10 variables including four major (cough/cold calls, emails, new positive COVID-19 tests, COVID-19 hospital census) and six minor (COVID-19 calls, respiratory infection and COVID-19 routine and urgent visits, and respiratory viral testing) indicators assessed with change point detection and slope metrics. We quantified cross-correlations lagged by 7-42 days between CHOTS and standardised COVID-19 hospital census using observational data from 1 April to 31 May 2020 and two waves of prospective data through 21 March 2021.

Results: Through 30 September 2020, peak cross-correlation between CHOTS and COVID-19 hospital census occurred with a 28-day lag at 0.78; at 42 days, the correlation was 0.69. Lagged correlation between medical centre CHOTS and their COVID-19 census was highest at 42 days for one facility (0.63), at 35 days for nine facilities (0.52-0.73), at 28 days for eight facilities (0.28-0.74) and at 14 days for two facilities (0.73-0.78). The strongest correlation for individual indicators was 0.94 (COVID-19 census) and 0.90 (new positive COVID-19 tests) lagged 1-14 days and 0.83 for COVID-19 calls and urgent clinic visits lagged 14-28 days. Cross-correlation was similar (0.73) with a 35-day lag using prospective validation from 1 October 2020 to 21 March 2021.

Conclusions: Passively collected health system indicators were strongly correlated with forthcoming COVID-19 hospital census up to 6 weeks before three successive COVID-19 waves. These tools could inform communities, health systems and public health officials to identify, prepare for and mitigate emerging COVID-19 activity.

Keywords: COVID-19; health informatics; public health.

Publication types

  • Observational Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19*
  • California
  • Delivery of Health Care
  • Humans
  • Prospective Studies
  • SARS-CoV-2