Satisfaction and Workload as Predictors of Psychological Distress in Professionals of Psychosocial Care Centers During the COVID-19 Pandemic
2024

Satisfaction and Workload as Predictors of Psychological Distress in Psychosocial Care Professionals During COVID-19

Sample size: 53 publication 10 minutes Evidence: moderate

Author Information

Author(s): Pinto Debora Maria Salimon, Lourenção Luciano Garcia, Eid Letícia Palota, Ponce Maria Amélia Zanom, André Júlio César, Tiol Emilia Batista Mourão, Giacon-Arruda Bianca Cristina Ciccone, Arruda Guilherme de Oliveira, Souza Maria da Graça Girade, Sasaki Natália Sperli Geraldes Marin dos Santos, Santos Emerson Roberto, Martinez William Donegá, Costa Ana Carolina Santos, Engel Ana Maria Rita Pedroso Vilela Torres de Carvalho, da Silva Júnior Amilton José, Werneck Alexandre Lins, de Souza Marise Ramos, Martins Marlene Andrade, Silva Gabriele Cássia Santos, Menezes João Daniel de Souza, da Silva Matheus Querino, Pompeo Daniele Alcalá, Gray Richard

Primary Institution: Municipal Health Department of São José do Rio Preto

Hypothesis

This study aimed to investigate the association between job satisfaction, workload, and psychological distress among CAPS professionals during the pandemic.

Conclusion

Low job satisfaction and high professional workload were predictive variables of psychological distress.

Supporting Evidence

  • One-third of the sample showed scores indicative of psychological distress.
  • Professionals reported moderate satisfaction and mild workload.
  • Multiple linear regression analysis revealed significant associations between workload, job satisfaction, and psychological distress.

Takeaway

The study found that when mental health workers are unhappy with their jobs and have too much work, they feel more stressed and anxious.

Methodology

A cross-sectional study was conducted using various scales to assess job satisfaction, workload, and psychological distress among CAPS professionals.

Potential Biases

Selection bias may be present due to the non-probabilistic sampling method.

Limitations

The cross-sectional design and convenience sampling limit the generalizability of the results.

Participant Demographics

The majority of participants were female (64.15%), aged between 31 and 40 years (47.17%), and had a specialization as the highest level of education (60.37%).

Statistical Information

P-Value

p = 0.0025 for workload, p = 0.0495 for job satisfaction

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/nursrep14040290

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