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Gestão do trabalho nas Unidades de Pronto Atendimento: estratégias governamentais e perfil dos profissionais de saúde

Overview of attention for article published in Cadernos de Saúde Pública, January 2016
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Title
Gestão do trabalho nas Unidades de Pronto Atendimento: estratégias governamentais e perfil dos profissionais de saúde
Published in
Cadernos de Saúde Pública, January 2016
DOI 10.1590/0102-311x00170614
Pubmed ID
Authors

Cristiani Vieira Machado, Luciana Dias de Lima, Gisele O'Dwyer, Carla Lourenço Tavares de Andrade, Tatiana Wargas de Faria Baptista, Rachel Guimarães Vieira Pitthan, Nelson Ibañez

Abstract

In the late 2000s, the expansion of Emergency Care Units (UPAs) in Brazil's policy for provision of urgent healthcare included hiring a large contingent of health professionals. This article analyzes government strategies for workforce management and the profile of these professionals in the UPAs in the State of Rio de Janeiro, which has the largest number of such units in the country. The methods included document analysis, interviews with managers, and visits to the UPAs and interviews with coordinators, physicians, and nurses. The results showed that the workforce management strategies varied over time and according to administrative sphere (state versus municipal). The so-called Social Organizations became the main hirers of health professionals in the UPAs, since they allowed management flexibility. However, there were problems with selection and stability, with a predominance of young professionals with limited experience and high physician turnover. Instability associated with outsourced hiring reinforced the view of work at the UPA as a temporary job.

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Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Student > Bachelor 6 15%
Student > Doctoral Student 4 10%
Student > Postgraduate 4 10%
Other 3 8%
Other 7 18%
Unknown 8 21%
Readers by discipline Count As %
Nursing and Health Professions 9 23%
Medicine and Dentistry 9 23%
Social Sciences 6 15%
Business, Management and Accounting 2 5%
Engineering 2 5%
Other 3 8%
Unknown 8 21%