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Non-Pharmacological Preventive Measures Had an Impact on COVID-19 in Healthcare Workers before the Vaccination Effect: A Cohort Study.
Utzet, Mireia; Benavides, Fernando G; Villar, Rocío; Burón, Andrea; Sala, Maria; López, Luis-Eugenio; Gomar, Pau; Castells, Xavier; Diaz, Pilar; Ramada, José María; Serra, Consol.
  • Utzet M; Centre for Research in Occupational Health, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain.
  • Benavides FG; IMIM-Hospital del Mar Medical Research Institute, 08003 Barcelona, Spain.
  • Villar R; CIBER of Epidemiology and Public Health, 28029 Madrid, Spain.
  • Burón A; Centre for Research in Occupational Health, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain.
  • Sala M; IMIM-Hospital del Mar Medical Research Institute, 08003 Barcelona, Spain.
  • López LE; CIBER of Epidemiology and Public Health, 28029 Madrid, Spain.
  • Gomar P; Centre for Research in Occupational Health, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain.
  • Castells X; IMIM-Hospital del Mar Medical Research Institute, 08003 Barcelona, Spain.
  • Diaz P; CIBER of Epidemiology and Public Health, 28029 Madrid, Spain.
  • Ramada JM; Occupational Health Service, Parc de Salut Mar, 08003 Barcelona, Spain.
  • Serra C; IMIM-Hospital del Mar Medical Research Institute, 08003 Barcelona, Spain.
Int J Environ Res Public Health ; 19(6)2022 03 18.
Article in English | MEDLINE | ID: covidwho-1760597
ABSTRACT
Healthcare workers have been and still are at the forefront of COVID-19 patient care. Their infection had direct implications and caused important challenges for healthcare performance. The aim of this study is to assess the impact of non-pharmacological preventive measures against COVID-19 among healthcare workers. This study is based on a dynamic cohort of healthcare workers (n = 5543) who had been hired by a Spanish hospital for at least one week during 2020. Negative binomial regression models were used to estimate the incidence rate and the rate ratio (RR) between the two waves (defined from 15 March to 21 June and from 22 June to 31 December), considering natural immunity during the first wave and contextual variables. All models were stratified by socio-occupational variables. The average COVID-19 incidence rate per 1000 worker-days showed a significant reduction between the two waves, dropping from 0.82 (CI95% 0.73-0.91) to 0.39 (0.35-0.44). The adjusted RR was 0.54 (0.48-0.87) when natural immunity was acquired during the first wave, and contextual variables were considered. The significant reduction of the COVID-19 incidence rate could be explained mainly by improvement in the non-pharmacological preventive interventions. It is needed to identify which measures were more effective. Young workers and those with a replacement contract were identified as vulnerable groups that need greater preventive efforts. Future preparedness plans would benefit from these results.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19063628

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19063628