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Development of a healthcare system COVID Hotspotting Score in California: an observational study with prospective validation.
Liu, Vincent X; Thai, Khanh K; Galin, Jessica; Gerstley, Lawrence David; Myers, Laura C; Parodi, Stephen M; Chen, Yi-Fen Irene; Goler, Nancy; Escobar, Gabriel J; Kipnis, Patricia.
Afiliação
  • Liu VX; Kaiser Permanente Division of Research, Oakland, California, USA Vincent.X.Liu@kp.org.
  • Thai KK; The Permanente Medical Group Inc, Oakland, California, USA.
  • Galin J; Kaiser Permanente Division of Research, Oakland, California, USA.
  • Gerstley LD; The Permanente Medical Group Inc, Oakland, California, USA.
  • Myers LC; Kaiser Permanente Division of Research, Oakland, California, USA.
  • Parodi SM; Kaiser Permanente Division of Research, Oakland, California, USA.
  • Chen YI; The Permanente Medical Group Inc, Oakland, California, USA.
  • Goler N; The Permanente Medical Group Inc, Oakland, California, USA.
  • Escobar GJ; The Permanente Medical Group Inc, Oakland, California, USA.
  • Kipnis P; The Permanente Medical Group Inc, Oakland, California, USA.
BMJ Open ; 11(7): e048211, 2021 07 26.
Article em En | MEDLINE | ID: mdl-34312202
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: BMJ Open Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: BMJ Open Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos