Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022Psychosocial risks among the healthcare workforce working in COVID services: findings from a cross-sectional study on psychosocial riskscitations

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Lopes, D.
1 / 2 shared
Moura, P.
1 / 1 shared
Pires, A.
1 / 3 shared
Gouveia, P. A.
1 / 1 shared
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2022

Co-Authors (by relevance)

  • Lopes, D.
  • Moura, P.
  • Pires, A.
  • Gouveia, P. A.
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article

Psychosocial risks among the healthcare workforce working in COVID services: findings from a cross-sectional study on psychosocial risks

  • Lopes, D.
  • Henriques, A. R.
  • Moura, P.
  • Pires, A.
  • Gouveia, P. A.
Abstract

<jats:sec id="S0924933822006538_sec03567" sec-type="intro"><jats:title>Introduction</jats:title><jats:p>Poor management in healthcare can have significant consequences in the workers’ health, performance, and quality of care. Several risks worsened during the COVID-19 pandemic, namely among the workforce caring for patients with suspected/confirmed COVID-19 infection.</jats:p></jats:sec><jats:sec id="S0924933822006538_sec03568"><jats:title>Objectives</jats:title><jats:p>We aimed to assess psychosocial risks among a sample of 235 healthcare workers deployed in COVID-19-related services in Portugal’s Lower Alentejo.</jats:p></jats:sec><jats:sec id="S0924933822006538_sec03569" sec-type="methods"><jats:title>Methods</jats:title><jats:p>Participants filled out with ten sociodemographic questions and the Euro-Portuguese medium version of the COPSOQ II questionnaire. Data collection occurred February 2021. Tertiles were used to render a traffic light risk categorization. Results were processed with qualitative and quantitative descriptive statistical analysis. To compare groups relative to each outcome, t-tests were used for variables with two categories. Whenever data was not normally distributed, Mann-Whitney tests were used. For variables with more than two groups non-parametric Kruskal-Wallis was applied. Bonferroni correction was also applied, testing each individual hypothesis at the level of significance of α<jats:sub>i</jats:sub>=0.05/29. A statistically significant difference between two groups did not necessarily yield a different risk colour.</jats:p></jats:sec><jats:sec id="S0924933822006538_sec03570" sec-type="results"><jats:title>Results</jats:title><jats:p>Overall, cognitive demands, emotional demands and influence at work showed the highest risk, while 19 domains showed intermediate risk. The burnout domain showed to be highest among nurses and operational assistants working in the Intensive Care Unit. Several associations between COPSOQ domains and sociodemographic variables are also discussed.</jats:p></jats:sec><jats:sec id="S0924933822006538_sec03571" sec-type="conclusions"><jats:title>Conclusions</jats:title><jats:p>Assessment of psychosocial stressors in healthcare units is needed to promote risk reduction policies and workplace reforms. Accessible occupational services, therapeutic and rehabilitative strategies should play a role in improving health hazards in unhealthy workplaces.</jats:p></jats:sec><jats:sec id="S0924933822006538_sec03572"><jats:title>Disclosure</jats:title><jats:p>No significant relationships.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography