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Diagnostic Performances of an Occupational Burnout Detection Method Designed for Healthcare Professionals

Author

Listed:
  • Agathe Nguyen Huynh

    (Center for Primary Care and Public Health (Unisanté), Department of Occupational and Environmental Health, University of Lausanne, 1066 Lausanne, Switzerland)

  • Christine Besse

    (Medical Direction of the Department of Psychiatry, CHUV, Les Cèdres (Cery), 1008 Prilly, Switzerland)

  • Zakia Mediouni

    (Center for Primary Care and Public Health (Unisanté), Department of Occupational and Environmental Health, University of Lausanne, 1066 Lausanne, Switzerland)

  • Emna El May

    (Center for Primary Care and Public Health (Unisanté), Department of Occupational and Environmental Health, University of Lausanne, 1066 Lausanne, Switzerland
    Faculty of Psychology and Educational Sciences, University of Geneva, 1205 Geneva, Switzerland)

  • Yara Shoman

    (Center for Primary Care and Public Health (Unisanté), Department of Occupational and Environmental Health, University of Lausanne, 1066 Lausanne, Switzerland)

  • Isabelle Hansez

    (Unit of Promotion of Human Resources, Faculty of Psychology, Speech Therapy and Educational Sciences, University of Liège, 4000 Liège, Belgium)

  • Irina Guseva Canu

    (Center for Primary Care and Public Health (Unisanté), Department of Occupational and Environmental Health, University of Lausanne, 1066 Lausanne, Switzerland)

Abstract

Background: We aimed to assess the validity (criterion and cross-cultural validity) and reliability of the first occupational burnout (OB) detection tool designed for healthcare professionals in Belgium in the context of Swiss medical practice. Methods: First, we assessed the sensitivity and specificity of the Tool. We developed this tool based on the consultation reports of 42 patients and compared its detection to the results of the Oldenburg Burnout Inventory (OLBI), filled-in by patients before a consultation. Second, we performed an inter-rater reliability (IRR) assessment on the OB symptoms and detection reached by the Tool between a psychiatrist, two psychologists, and an occupational physician. Results: The Tool correctly identified over 80% of patients with OB, regardless of the cutoff value used for OLBI scores, reflecting its high sensitivity. Conversely, its specificity strongly varied depending on the OLBI cutoff. There was a slight to fair overall agreement between the four raters on the detection of OB and the number of OB symptoms. Around 41% of symptoms showed a substantial to an almost perfect agreement, and 36% showed a slight to a moderate agreement. Conclusions: The Tool seems useful for identifying OB of moderate and strong severity in both the Belgian and Swiss contexts.

Suggested Citation

  • Agathe Nguyen Huynh & Christine Besse & Zakia Mediouni & Emna El May & Yara Shoman & Isabelle Hansez & Irina Guseva Canu, 2021. "Diagnostic Performances of an Occupational Burnout Detection Method Designed for Healthcare Professionals," IJERPH, MDPI, vol. 18(23), pages 1-10, November.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12300-:d:685868
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    References listed on IDEAS

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    1. Céline Leclercq & Lutgart Braeckman & Pierre Firket & Audrey Babic & Isabelle Hansez, 2021. "Interest of a Joint Use of Two Diagnostic Tools of Burnout: Comparison between the Oldenburg Burnout Inventory and the Early Detection Tool of Burnout Completed by Physicians," IJERPH, MDPI, vol. 18(19), pages 1-19, October.
    2. Wilmar B. Schaufeli & Steffie Desart & Hans De Witte, 2020. "Burnout Assessment Tool (BAT)—Development, Validity, and Reliability," IJERPH, MDPI, vol. 17(24), pages 1-21, December.
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    1. Céline Leclercq & Lutgart Braeckman & Pierre Firket & Audrey Babic & Isabelle Hansez, 2021. "Interest of a Joint Use of Two Diagnostic Tools of Burnout: Comparison between the Oldenburg Burnout Inventory and the Early Detection Tool of Burnout Completed by Physicians," IJERPH, MDPI, vol. 18(19), pages 1-19, October.

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