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Vittori A, Petrucci E, Cascella M, Bignami EG, Simonini A, Sollecchia G, Fiore G, Vergallo A, Marinangeli F, Pedone R. Maladaptive personality traits are associated with burnout risk in Italian anesthesiologists and intensivists: a secondary analysis from a cross-sectional study. JOURNAL OF ANESTHESIA, ANALGESIA AND CRITICAL CARE 2024; 4:36. [PMID: 38907360 PMCID: PMC11193186 DOI: 10.1186/s44158-024-00171-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 05/27/2024] [Indexed: 06/23/2024]
Abstract
BACKGROUND Burnout is a maladaptive response to chronic stress, particularly prevalent among clinicians. Anesthesiologists are at risk of burnout, but the role of maladaptive traits in their vulnerability to burnout remains understudied. METHODS A secondary analysis was performed on data from the Italian Association of Hospital Anesthesiologists, Pain Medicine Specialists, Critical Care, and Emergency (AAROI-EMAC) physicians. The survey included demographic data, burnout assessment using the Maslach Burnout Inventory (MBI) and subscales (emotional exhaustion, MBI-EE; depersonalization, MBI-DP; personal accomplishment, MBI-PA), and evaluation of personality disorders (PDs) based on DSM-IV (Diagnostic and Statistical Manual of Mental Disorders Fourth Edition) criteria using the assessment of DSM-IV PDs (ADP-IV). We investigated the aggregated scores of maladaptive personality traits as predictor variables of burnout. Subsequently, the components of personality traits were individually assessed. RESULTS Out of 310 respondents, 300 (96.77%) provided complete information. The maladaptive personality traits global score was associated with the MBI-EE and MBI-DP components. There was a significant negative correlation with the MBI-PA component. Significant positive correlations were found between the MBI-EE subscale and the paranoid (r = 0.42), borderline (r = 0.39), and dependent (r = 0.39) maladaptive personality traits. MBI-DP was significantly associated with the passive-aggressive (r = 0.35), borderline (r = 0.33), and avoidant (r = 0.32) traits. Moreover, MBI-PA was negatively associated with dependent (r = - 0.26) and avoidant (r = - 0.25) maladaptive personality features. CONCLUSIONS There is a significant association between different maladaptive personality traits and the risk of experiencing burnout among anesthesiologists. This underscores the importance of understanding and addressing personality traits in healthcare professionals to promote their well-being and prevent this serious emotional, mental, and physical exhaustion state.
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Affiliation(s)
- Alessandro Vittori
- Department of Anesthesia and Critical Care, ARCO ROMA, Ospedale Pediatrico Bambino Gesù IRCCS, 00165, Rome, Italy
| | - Emiliano Petrucci
- Department of Anesthesia and Intensive Care Unit, San Salvatore Academic Hospital of L'Aquila, 67100, L'Aquila, Italy
| | - Marco Cascella
- Unit of Anesthesiology, Intensive Care Medicine, and Pain Medicine, Department of Anesthesia and Critical Care, Department of Medicine, Surgery, and Dentistry, University of Salerno, 84082, Baronissi (Salerno), Italy.
| | - Elena Giovanna Bignami
- Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, 43121, Parma, Italy
| | - Alessandro Simonini
- Pediatric Anesthesia and Intensive Care Unit AOU Delle Marche, Salesi Children's Hospital, 60121, Ancona, Italy
| | - Giacomo Sollecchia
- Department of Anesthesiology, Intensive Care and Pain Treatment, University of L'Aquila, 67100, L'Aquila, Italy
| | - Gilberto Fiore
- Department of Anesthesia and Intensive Care, Hospital of Santa Croce Di Moncalieri, 10024, Turin, Italy
| | - Alessandro Vergallo
- Department of Anesthesia and Intensive Care, Spedali Civili Di Brescia, 25121, Brescia, Italy
| | - Franco Marinangeli
- Department of Anesthesiology, Intensive Care and Pain Treatment, University of L'Aquila, 67100, L'Aquila, Italy
| | - Roberto Pedone
- Department of Psychology, University of Campania Luigi Vanvitelli, 8100, Caserta, Italy
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Moggia D, Schwartz B, Rubel JA, Zimmermann D, Kästel B, Lutz W. Is it me, is it you or is it both of US? Applying the social relations model to disentangle the components of the therapeutic bond. Psychother Res 2023; 33:30-44. [PMID: 36215730 DOI: 10.1080/10503307.2022.2126334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
Abstract
OBJECTIVE The study investigated the contribution of therapists and patients to the therapeutic bond and their associations (at the within and between levels) to treatment outcome. On this aim, the social relations model (SRM, aimed to analyze dyadic interpersonal data) was implemented. METHOD A novel design for individual psychotherapy studies was adopted, a many-with-many asymmetrical block dyadic design, in which several patients interact with several therapists. Hierarchical linear models were computed to study through variance partitioning the different components of the SRM and their association to treatment outcome. RESULTS All SRM components (with significant effects at therapist- and patient- within and between levels) resulted in significant contributions to the bond. However, only components at the within- and between-therapist, and within-patient levels resulted in significant associations with outcome. CONCLUSION Given the dyadic nature of the bond, our results support not only studying and offering clinical training on interpersonal therapeutic skills but also on constant monitoring and feedback of the relationship at the more idiosyncratic level.
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