Evidence map›Paper›PMID 36006095›Full record

ArticleLa Medicina del lavoro2022

Psychometric properties of the Copenhagen Burnout Inventory (CBI) in Italian Physicians.

Edoardo Nicolò Aiello, Elena Fiabane, Simona Margheritti, Stefano Magnone, Nadia Bolognini, Massimo Miglioretti, Ines Giorgi

Abstract read
In one paragraph

Article in La Medicina del lavoro, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Adaptation of the Copenhagen Burnout Inventory in Latvia: Psychometric Data and Factor Analysis.International journal of environmental research and public health · 2025
    Article
  6. Article
  7. Article
  8. Italian validation of theResearch in psychotherapy (Milano) · 2023
    Article
  9. Prevalence and determinants of Italian physicians' burnout in the "post-COVID-19" era.International archives of occupational and environmental health · 2023
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Edoardo Nicolò AielloPhD Program in Neuroscience, University of Milano-Bicocca, Monza. e.aiello5@campus.unimib.it.
Elena FiabaneDepartment of Physical and Rehabilitation Medicine of Genova Nervi Institute, Istituti Clinici Scientifici Maugeri, Genova. elenamaria.fiabane@icsmaugeri.it.
Simona MargherittiDepartment of Psychology, University of Milano-Bicocca, Milano. s.margheritti2@campus.unimib.it.
Stefano MagnoneRegional Secretary, ANAAO ASSOMED Lombardia Associazione Medici Dirigenti, Milano, Italy. magnonestefano@gmail.com.
Nadia BologniniDepartment of Psychology, University of Milano-Bicocca, Milano. nadia.bolognini@unimib.it.
Massimo MigliorettiDepartment of Psychology, University of Milano-Bicocca, Milano. massimo.miglioretti@unimib.it.
Ines GiorgiDipartimento di Sanità pubblica, Medicina Sperimentale e Forense, University of Pavia, Pavia. ines.giorgi@unipv.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to standardize the Copenhagen Burnout Inventory (CBI), a psychometrically sound, worldwide-spread tool among Italian physicians.

methodsNine hundred and fifteen Italian physicians were web-administered the CBI, Patient Health Questionnaire-8 (PHQ-8), Generalized Anxiety Disorder-7 (GAD-7) and General Self-Efficacy Scale (GSE). The present CBI included 18 items (range=19-90) assessing Personal, Work-related and Client-related Burnout. Client-related adaptation was performed. Construct validity, factorial structure (Confirmatory Factor Analysis) and internal consistency were tested. Diagnostic accuracy was assessed simultaneously against the PHQ-8, GAD-7 and GSE. All CBI measures yielded optimal internal consistency (Cronbach's α=0.90-0.96).

resultsThe CBI met its original three-factor model (CFI=0.94; TLI=0.93; RMSEA=0.09; SRMR=0.04), was positively related to the PHQ-8 (r=0.76) and GAD-7 (r=0.73), whereas negatively with the GSE (r=0.39) and yielded optimal diagnostics (AUC=0.93; sensitivity=0.91 and specificity=0.85 at the optimal cutoff of 69/90).

conclusionThe CBI is thus a valid, reliable, and normed tool to assess burnout levels in physicians.

Indexed as

Burnout, ProfessionalPhysiciansHumansPsychometricsReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID36006095
PMCPMC9484286

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.