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COMVC-19: A Program to protect healthcare workers' mental health during the COVID-19 Pandemic. What we have learned

Overview of attention for article published in Clinics, November 2021
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COMVC-19: A Program to protect healthcare workers' mental health during the COVID-19 Pandemic. What we have learned
Published in
Clinics, November 2021
DOI 10.6061/clinics/2021/e2631
Pubmed ID

Pedro Fukuti, Caroline Louise Mesquita Uchôa, Marina Flaborea Mazzoco, Isabella D’Andrea Garcia da Cruz, Mariana V.F. Echegaray, Eduardo de Castro Humes, Júlia Belizário Silveira, Talita Di Santi, Euripedes Constantino Miguel, Felipe Corchs, COMVC-19 program, Daniel Fatori, Guilherme Campello, Gabriel M. de Oliveira, Felipe C. Argolo, Felipe de M. Ferreira, Gustavo Machado, Adriana Argeu, Graça Maria Ramos de Oliveira, Antônio de Pádua Serafim, Luciana de Lima Siqueira, Luciane de Rossi, Izabel Cristina Rios, Talita Rodrigues de Oliveira, Leilane C.K. Antoniazzi, Daniel Augusto Mori Gagliotti, Emílio Abelama, Paulo Novais de Oliveira, Aline Villalobo Correia, Luca Schilling Gonçalves, Liana Silva Tortato, Wagner Machado Moraes Busato, Flávio Guimarães-Fernandes, Marcos Alves, Oswaldo Ferreira Leite, Patrícia de Campos Lindenberg Schoueri, Márcio de Assis Roque, Silvia Stahl Merlin, Giovana Cardoso Machado Boer, Paulo Clemente Sallet, André Malbergier, Mariana Abrahão Spedo, Carla Satie Kamitsuji, Elizabeth de Faria, Moacyr Vergara de Godoy Moreira, Arthur Kaufman, Carmita Abdo, Marco de Tubino Scanavino, Selma Lancman, Hermano Tavares, Guilherme Polanczyk, André R. Brunoni, Orestes V. Forlenza, Tarcísio Eloy Pessoa de Barros-Filho


In 2020, the COVID-19 pandemic brought a work and stress overload to healthcare workers, increasing their vulnerability to mental health impairments. In response, the authors created the COMVC-19 program. The program offered preventive actions and mental health treatment for the 22,000 workers of The Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP). This paper aims to describe its implementation and share what we have learned from this experience. Workers were able to easily access the program through a 24/7 hotline. Additionally, a mobile phone app that screened for signs and symptoms of emotional distress and offered psychoeducation and/or referral to treatment was made available. Data from both these sources as well as any subsequent psychiatric evaluations were collected. The first 20 weeks of our project revealed that most participants were female, and part of the nursing staff working directly with COVID-19 patients. The most frequently reported symptoms were: anxiety, depression and sleep disturbances. The most common diagnoses were Adjustment, Anxiety, and Mood disorders. Implementing a mental health program in a multimodal intervention was feasible in a major quaternary public hospital. Our data also suggests that preventive actions should primarily be aimed at anxiety and depression symptoms, with a particular focus on the nursing staff.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 8%
Student > Bachelor 10 8%
Other 5 4%
Unspecified 4 3%
Researcher 4 3%
Other 10 8%
Unknown 75 64%
Readers by discipline Count As %
Nursing and Health Professions 14 12%
Medicine and Dentistry 8 7%
Unspecified 4 3%
Environmental Science 3 3%
Psychology 3 3%
Other 9 8%
Unknown 77 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 December 2021.
All research outputs
of 25,392,582 outputs
Outputs from Clinics
of 1,215 outputs
Outputs of similar age
of 513,634 outputs
Outputs of similar age from Clinics
of 29 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,215 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 513,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.