PRECEDE-PROCEED model as a tool for social and epidemiological diagnoses of health workers with COVID-19

Authors

DOI:

https://doi.org/10.12957/reuerj.2023.76901

Keywords:

Pandemics, SARS-CoV-2, COVID-19, Health Personnel, Planning Methodology

Abstract

Objective: to highlight the social and epidemiological diagnoses of health workers working in the pandemic and affected by COVID-19, applying the PRECEDE-PROCEED model. Methods: documentary, quantitative, observational, retrospective study, developed based on the PRECEDE-PROCEED model, which guides interventions, starting from phased diagnosis to implement actions. Data obtained from 215 medical records of workers with COVID-19, treated at the hospital occupational service in Macapá, between 2020 and 2021. Results: social diagnosis: women (81.9%), brown/black (79%), aged between 40/ 55 years old (53.4%), nursing technicians (40%), nephrology (10.2%), state/federal employment (91.6%) for more than 10 years (60.4%). Epidemiological Diagnosis: headache (53.5%), cough (51.6%), fever (47.9%). Rapid test (76.3%), outpatient care (90.2%), sick leave of 8 to 14 days (45.1%), 100% cured, sequelae in 12.6%. No significant difference in terms of leave by function performed. Dyspnea, chest pain and sequelae of the disease have a greater chance of sick leave. Conclusion: the application of the model makes it possible to plan awareness/prevention actions regarding risk, illness, occupational accidents and workers' health care.

Author Biographies

Maria Helena Mendonça de Araújo, Universidade Federal Fluminense

Médica. Mestra. Aluna do Doutorado. Universidade Federal Fluminense. Niterói, RJ, Brasil.

Donizete Vago Daher, Universidade Federal Fluminense

Enfermeira. Doutora. Professora Titular. Universidade Federal Fluminense. Niterói, RJ, Brasil.

Irma da Silva Brito, Escola Superior de Enfermagem de Coimbra

Enfermeira. Doutora. Professora Coordenadora. Escola Superior de Enfermagem de Coimbra. Coimbra, Portugal.

Vera Maria Sabóia, Universidade Federal Fluminense

Enfermeira. Doutora. Professora Titular. Universidade Federal Fluminense. Niterói, RJ, Brasil.

Enéas Rangel Teixeira, Universidade Federal Fluminense

Enfermeiro. Doutor. Professor Titular. Universidade Federal Fluminense. Niterói, RJ, Brasil.

Magda Guimarães de Araujo Faria, Universidade do Estado do Rio de Janeiro

Enfermeira. Doutora.  Professora Associada. Universidade do Estado do Rio de Janeiro. Rio de Janeiro, RJ, Brasil.

Carlos Henrique de Morais, Secretaria Municipal de Saúde de Vazante

Dentista. Mestre. Secretaria Municipal de Saúde. Vazante, MG, Brasil.

Cláudio Alberto Gellis de Mattos Dias, Instituto Federal de Educação, Ciência e Tecnologia do Amapá

Biólogo. Doutor. Professor efetivo. Instituto Federal de Educação, Ciência e Tecnologia do Amapá. Macapá, AP, Brasil.

Published

2023-12-14

How to Cite

1.
Araújo MHM de, Daher DV, Brito I da S, Sabóia VM, Teixeira ER, Faria MG de A, et al. PRECEDE-PROCEED model as a tool for social and epidemiological diagnoses of health workers with COVID-19. Rev. enferm. UERJ [Internet]. 2023 Dec. 14 [cited 2025 Oct. 27];31(1):e76901. Available from: https://www.e-publicacoes.uerj.br/enfermagemuerj/article/view/76901

Issue

Section

Research Articles

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