Background <p>Burnout among healthcare professionals has become a major global occupational health concern, occurring in a context characterized by increasing workload intensity, growing organizational constraints, and recurrent health crises. Over recent decades, scientific research on this phenomenon has expanded substantially, resulting in a large and heterogeneous body of literature.</p> Methods <p>A bibliometric analysis was conducted using publications indexed in the Scopus database. Articles addressing burnout among healthcare professionals were identified through a search strategy applied to titles, abstracts, and keywords. After applying inclusion criteria, a final corpus of 4,065 articles published between 1983 and 2025 was analyzed. Descriptive analyses, keyword frequency and co-occurrence analyses, thematic evolution analysis, and factor analysis were performed using the Bibliometrix package and the Biblioshiny interface in R.</p> Results <p>The findings highlight a marked growth in scientific output, with an exponential increase observed since 2020, largely attributable to the COVID-19 pandemic. The literature is structured around dominant themes related to burnout measurement, mental health, sociodemographic factors, and organizational determinants. Co-occurrence and factor analyses reveal three major conceptual clusters: a methodological and epidemiological cluster focused on burnout assessment and prevalence; an organizational and professional cluster addressing working conditions and professional categories; and a contextual and clinical cluster strongly shaped by health crises. Emerging themes include prevention strategies, leadership, qualitative approaches, and the increasing integration of digital technologies and artificial intelligence in burnout monitoring and prevention.</p> Conclusion <p>This bibliometric analysis highlights a mature and multidimensional research field that has evolved from primarily descriptive approaches toward more preventive and intervention-oriented perspectives. The emergence of artificial intelligence–based solutions offers promising opportunities for early detection and personalized prevention of burnout among healthcare professionals.</p>

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Burnout among healthcare professionals a global occupational health priority

  • Mohammed Amine Lafraxo,
  • Hinde Hami

摘要

Background

Burnout among healthcare professionals has become a major global occupational health concern, occurring in a context characterized by increasing workload intensity, growing organizational constraints, and recurrent health crises. Over recent decades, scientific research on this phenomenon has expanded substantially, resulting in a large and heterogeneous body of literature.

Methods

A bibliometric analysis was conducted using publications indexed in the Scopus database. Articles addressing burnout among healthcare professionals were identified through a search strategy applied to titles, abstracts, and keywords. After applying inclusion criteria, a final corpus of 4,065 articles published between 1983 and 2025 was analyzed. Descriptive analyses, keyword frequency and co-occurrence analyses, thematic evolution analysis, and factor analysis were performed using the Bibliometrix package and the Biblioshiny interface in R.

Results

The findings highlight a marked growth in scientific output, with an exponential increase observed since 2020, largely attributable to the COVID-19 pandemic. The literature is structured around dominant themes related to burnout measurement, mental health, sociodemographic factors, and organizational determinants. Co-occurrence and factor analyses reveal three major conceptual clusters: a methodological and epidemiological cluster focused on burnout assessment and prevalence; an organizational and professional cluster addressing working conditions and professional categories; and a contextual and clinical cluster strongly shaped by health crises. Emerging themes include prevention strategies, leadership, qualitative approaches, and the increasing integration of digital technologies and artificial intelligence in burnout monitoring and prevention.

Conclusion

This bibliometric analysis highlights a mature and multidimensional research field that has evolved from primarily descriptive approaches toward more preventive and intervention-oriented perspectives. The emergence of artificial intelligence–based solutions offers promising opportunities for early detection and personalized prevention of burnout among healthcare professionals.