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1000 Titel
  • Mental health problems and needs of frontline healthcare workers during the COVID-19 pandemic in Spain: A qualitative analysis
1000 Autor/in
  1. Mediavilla, Roberto |
  2. Monistrol-Mula, Anna |
  3. McGreevy, Kerry R. |
  4. Felez-Nobrega, Mireia |
  5. Delaire, Audrey |
  6. Nicaise, Pablo |
  7. Palomo-Conti, Santiago |
  8. Bayon, Carmen |
  9. Bravo-Ortiz, Maria-Fe |
  10. Rodríguez-Vega, Beatriz |
  11. Witteveen, Anke |
  12. Sijbrandij, Marit |
  13. Turrini, Giulia |
  14. Purgato, Marianna |
  15. Vuillermoz, Cécile |
  16. Melchior, Maria |
  17. Petri-Romão, Papoula |
  18. Stoffers-Winterling, Jutta |
  19. Bryant, Richard A. |
  20. McDaid, David |
  21. Park, A-La |
  22. Ayuso-Mateos, José Luis |
1000 Mitwirkende/r
  1. RESPOND Consortium |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-07-27
1000 Erschienen in
1000 Quellenangabe
  • 10:956403
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fpubh.2022.956403 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363705/ |
1000 Ergänzendes Material
  • https://www.frontiersin.org/articles/10.3389/fpubh.2022.956403/full#h15 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Healthcare workers (HCWs) from COVID-19 hotspots worldwide have reported poor mental health outcomes since the pandemic's beginning. The virulence of the initial COVID-19 surge in Spain and the urgency for rapid evidence constrained early studies in their capacity to inform mental health programs accurately. Here, we used a qualitative research design to describe relevant mental health problems among frontline HCWs and explore their association with determinants and consequences and their implications for the design and implementation of mental health programs. MATERIALS AND METHODS: Following the Programme Design, Implementation, Monitoring, and Evaluation (DIME) protocol, we used a two-step qualitative research design to interview frontline HCWs, mental health experts, administrators, and service planners in Spain. We used Free List (FL) interviews to identify problems experienced by frontline HCWs and Key informant (KI) interviews to describe them and explore their determinants and consequences, as well as the strategies considered useful to overcome these problems. We used a thematic analysis approach to analyze the interview outputs and framed our results into a five-level social-ecological model (intrapersonal, interpersonal, organizational, community, and public health). RESULTS: We recruited 75 FL and 22 KI interviewees, roughly balanced in age and gender. We detected 56 themes during the FL interviews and explored the following themes in the KI interviews: fear of infection, psychological distress, stress, moral distress, and interpersonal conflicts among coworkers. We found that interviewees reported perceived causes and consequences across problems at all levels (intrapersonal to public health). Although several mental health strategies were implemented (especially at an intrapersonal and interpersonal level), most mental health needs remained unmet, especially at the organizational, community, and public policy levels. CONCLUSION: In keeping with available quantitative evidence, our findings show that mental health problems are still relevant for frontline HCWs 1 year after the COVID-19 pandemic and that many reported causes of these problems are modifiable. Based on this, we offer specific recommendations to design and implement mental health strategies and recommend using transdiagnostic, low-intensity, scalable psychological interventions contextually adapted and tailored for HCWs.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal healthcare workers (HCWs)
lokal mental health
lokal qualitative study
lokal occupational health
lokal psychological distress
lokal key informant interviews
lokal free list interviews
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Erstellt am 2023-03-06T07:44:39.988+0100
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