Saúde mental e pandemia: associação entre estresse, trabalho e Covid-19 em profissionais médicos

Silva, Cleyton Cézar Souto; Santos, Gracielle Malheiro dos; Pereira, Vagna Cristina Leite da Silva; Dantas, Daniele Vieira; Freire, Renata Pascoal; Silva, José Adaílton da

doi:10.33448/rsd-v11i8.31314

Cited by 4 publications

(5 citation statements)

References 11 publications

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“…The AHP method was developed to model unstructured problems in people's daily lives as they make decisions without necessarily having an exact notion of the parameters' importance [50].…”

Section: Unambiguous Datamentioning

confidence: 99%

“…In addition to presenting the classic AHP method, defined by Saaty in 1980 [50], an attempt was made to minimize the errors embedded in the classical method for obtaining the eigenvalues and the eigenvectors of the decision matrices. Hence, approximate algorithms, such as the normalized values method and the geometric mean method, were used, realizing that there are better decision-making results in complex scenarios.…”

Section: A = Criterion 1 Criterion 1 Criterion 2mentioning

confidence: 99%

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Aligning the Goals Hybrid Model for the Diagnosis of Mental Health Quality

et al. 2023

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The social distancing imposed by the COVID-19 pandemic has been described as the “greatest psychological experiment in the world”. It has tested the human capacity to extract meaning from suffering and challenged individuals and society in Brazil and abroad to promote cohesion that cushions the impact of borderline experiences on mental life. In this context, a survey was conducted with teachers, administrative technicians, and outsourced employees at the Federal Institute of Piauí (IFPI). This educational institution offers professional and technological education in Piauí, Brazil. This study proposes a system for the early diagnosis of health quality during social distancing in the years 2020 and 2021, over the COVID-19 pandemic, combining multi-criteria decision support methodology, the Analytic Hierarchy Process (AHP) with machine learning algorithms (Random Forest, logistic regression, and Naïve Bayes). The hybrid approach of the machine learning algorithm with the AHP multi-criteria decision method with geometric mean accurately obtained a classification that stood out the most in the characteristics’ performance concerning emotions and feelings. In 2020, the situation was reported as the SAME AS BEFORE, in which the hybrid AHP with Geographical Average with the machine learning Random Forest algorithm stands out, highlighting the atypical situation in the quality of life of the interviewees and the timely manner in which they realized that their mental health remained unchanged. After that, in 2021, the situation was reported as WORSE THAN BEFORE, in which the hybrid AHP with geometric mean with the machine learning Random Forest algorithm provided an absolute result.

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“…The AHP method was developed to model unstructured problems in people's daily lives as they make decisions without necessarily having an exact notion of the parameters' importance [50].…”

Section: Unambiguous Datamentioning

confidence: 99%

Section: A = Criterion 1 Criterion 1 Criterion 2mentioning

confidence: 99%

Aligning the Goals Hybrid Model for the Diagnosis of Mental Health Quality

et al. 2023

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“…The pandemic scenario contributed to the increase of the already existing deficiencies in the workflow of health units and exposed health professionals to new stressors (3) , making them one of the most susceptible groups to psychological distress, when compared to the general population (4)(5) . This panorama suggests the need for greater care for their mental health.…”

Section: Introductionmentioning

confidence: 99%

Occupational stress in primary care workers during the COVID-19 pandemic: mixed methods study

Tamborini,

Centenaro,

Souto

et al. 2023

Rev. Latino-Am. Enfermagem

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Objective: to analyze the risk of exposure to occupational stress among primary healthcare professionals during the COVID-19 pandemic and their perception regarding their experience. Method: mixed-methods sequential explanatory study with 50 primary care professionals. Sociodemographic, clinical, and labor questionnaires, Job Stress Scale, and semi-structured interviews were used. Quantitative data were submitted to descriptive and analytical statistical analysis; qualitative data were submitted to Thematic Content Analysis. Results: 66% of professionals were exposed to occupational stress. Doctors were associated with highly demanding work (p<0.001); nurses, nursing technicians, and dental professionals with active work (p<0.001); and dentists with lower psychological demand (p<0.001). Professionals with more than sixteen years of experience had better conditions to deal with stressful factors, compared to those with less than five years (p<0.03). Data integration showed implications of the pandemic in life, work, and interfaces with psychological symptoms. Conclusion: professionals worked under high psychological demands and a high risk of exposure to stress during the COVID-19 pandemic. Self-control and high social support may contribute to reducing these risks, as well as professional training and experience.

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“…El escenario de la pandemia ha contribuido a aumentar las deficiencias existentes en el proceso de trabajo de las unidades de salud y ha expuesto a los profesionales de la salud a nuevos estresores (3) , convirtiéndolos en uno de los grupos más susceptibles a los problemas psicológicos de la población general (4)(5) .…”

Section: Introductionunclassified

Estrés laboral en profesionales de la atención primaria durante la pandemia de COVID-19: estudio de métodos mixtos

Tamborini,

Centenaro,

Souto

et al. 2023

Rev. Latino-Am. Enfermagem

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Objetivo: analizar el riesgo de exposición al estrés laboral de los profesionales de la Atención Primaria de la Salud durante la pandemia de COVID-19 y la percepción que tienen sobre esa experiencia. Método: estudio de métodos mixtos del tipo explicativo secuencial, con 50 profesionales de la atención primaria. Se utilizaron cuestionarios sociodemográficos, clínicos y laborales, Job Stress Scale y entrevista semiestructurada. Los datos cuantitativos fueron sometidos a análisis estadístico descriptivo y analítico; los cualitativos, a Análisis de Contenido Temático. Resultados: el 66% de los profesionales estuvieron expuestos a estrés laboral. La profesión médica se asoció al trabajo de alta exigencia (p<0,001); los enfermeros, técnicos en enfermería, profesionales de odontología, al trabajo activo (p<0,001); los odontólogos, a menor exigencia psicológica (p<0,001). Los profesionales con más de dieciséis años de graduados presentaron mejores condiciones para lidiar con los estresores que aquellos con menos de cinco años (p<0,03). La integración de datos demostró que la pandemia repercutió en la vida, el trabajo e interfaces con los síntomas psicológicos. Conclusión: los profesionales trabajaron bajo altas exigencias psicológicas y alto riesgo de exposición al estrés durante la pandemia de COVID-19. El autocontrol y un alto apoyo social pueden contribuir a reducir estos riesgos, así como el tiempo de formación y la experiencia profesional.

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Saúde mental e pandemia: associação entre estresse, trabalho e Covid-19 em profissionais médicos

Cited by 4 publications

References 11 publications

Aligning the Goals Hybrid Model for the Diagnosis of Mental Health Quality

Aligning the Goals Hybrid Model for the Diagnosis of Mental Health Quality

Occupational stress in primary care workers during the COVID-19 pandemic: mixed methods study

Estrés laboral en profesionales de la atención primaria durante la pandemia de COVID-19: estudio de métodos mixtos

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