Title |
As interações entre os atores no retorno ao trabalho após afastamento por transtorno mental: uma metaetnografia
|
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Published in |
Cadernos de Saúde Pública, November 2015
|
DOI | 10.1590/0102-311x00029215 |
Pubmed ID | |
Authors |
Robson da Fonseca Neves, Mônica de Oliveira Nunes, Lilian Magalhães |
Abstract |
Mental disorders cause impact in the work environment. Investigations of interaction among stakeholders who are involved in the return to work are scarce. Meta-ethnography serves to synthesize qualitative studies by means of ongoing interpretation and comparison of the ideas presented in the articles. The goal of this study is to present a meta-ethnography of the interactions among the stakeholders involved in the return to work process after leave of absence due to mental disorders. It aims: (1) to investigate the interactions among stakeholders involved in return to work; (2) to identify enablers or obstacles for the return to work. The database search found 619 articles, 16 of which met the inclusion criteria. Analysis of the articles revealed six second-order concepts that resulted in two syntheses. The first is about performance ethos in the return to work, and the second shows return to work as a catalyst of new life styles. Models that favor the worker's performance ethos, as well as a perspective oriented by psychosocial aspects may enable return to work practices after leave of absence due to mental disorders. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 3% |
Unknown | 33 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 15% |
Student > Postgraduate | 5 | 15% |
Researcher | 4 | 12% |
Student > Master | 4 | 12% |
Other | 2 | 6% |
Other | 8 | 24% |
Unknown | 6 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 24% |
Nursing and Health Professions | 6 | 18% |
Psychology | 6 | 18% |
Social Sciences | 3 | 9% |
Arts and Humanities | 2 | 6% |
Other | 3 | 9% |
Unknown | 6 | 18% |