Mitigating Burnout in an Oncological Unit : A Scoping Review

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Alabi , R O , Hietanen , P , Elmusrati , M , Youssef , O , Almangush , A & Mäkitie , A A 2021 , ' Mitigating Burnout in an Oncological Unit : A Scoping Review ' , Frontiers in public health , vol. 9 , 677915 .

Title: Mitigating Burnout in an Oncological Unit : A Scoping Review
Author: Alabi, Rasheed Omobolaji; Hietanen, Päivi; Elmusrati, Mohammed; Youssef, Omar; Almangush, Alhadi; Mäkitie, Antti A.
Contributor organization: Research Program in Systems Oncology
Faculty of Medicine
Department of Pathology
HUS Head and Neck Center
Korva-, nenä- ja kurkkutautien klinikka
University of Helsinki
Date: 2021-10-01
Language: eng
Number of pages: 14
Belongs to series: Frontiers in public health
ISSN: 2296-2565
Abstract: Objectives: The purpose of this study was to provide a scoping review on how to address and mitigate burnout in the profession of clinical oncology. Also, it examines how artificial intelligence (AI) can mitigate burnout in oncology. Methods: We searched Ovid Medline, PubMed, Scopus, and Web of Science, for articles that examine how to address burnout in oncology. Results: A total of 17 studies were found to examine how burnout in oncology can be mitigated. These interventions were either targeted at individuals (oncologists) or organizations where the oncologists work. The organizational interventions include educational (psychosocial and mindfulness-based course), art therapies and entertainment, team-based training, group meetings, motivational package and reward, effective leadership and policy change, and staff support. The individual interventions include equipping the oncologists with adequate training that include—communication skills, well-being and stress management, burnout education, financial independence, relaxation, self-efficacy, resilience, hobby adoption, and work-life balance for the oncologists. Similarly, AI is thought to be poised to offer the potential to mitigate burnout in oncology by enhancing the productivity and performance of the oncologists, reduce the workload and provide job satisfaction, and foster teamwork between the caregivers of patients with cancer. Discussion: Burnout is common among oncologists and can be elicited from different types of situations encountered in the process of caring for patients with cancer. Therefore, for these interventions to achieve the touted benefits, combinatorial strategies that combine other interventions may be viable for mitigating burnout in oncology. With the potential of AI to mitigate burnout, it is important for healthcare providers to facilitate its use in daily clinical practices. Conclusion: These combinatorial interventions can ensure job satisfaction, a supportive working environment, job retention for oncologists, and improved patient care. These interventions could be integrated systematically into routine cancer care for a positive impact on quality care, patient satisfaction, the overall success of the oncological ward, and the health organizations at large.
Description: Publisher Copyright: © Copyright © 2021 Alabi, Hietanen, Elmusrati, Youssef, Almangush and Mäkitie.
Subject: address
artificial intelligence
compassion fatigue
job satisfaction
3142 Public health care science, environmental and occupational health
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion

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