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.

Céline Leclercq, Lutgart Braeckman, Pierre Firket, Audrey Babic, Isabelle Hansez
Author Information
  1. Céline Leclercq: Human Resources Development Unit, Faculty of Psychology and Education Sciences, University of Liège, 4000 Liège, Belgium. ORCID
  2. Lutgart Braeckman: Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium. ORCID
  3. Pierre Firket: CITES ISoSL, Sector of Mental Health, 4000 Liège, Belgium.
  4. Audrey Babic: Group and Organization Psychology Unit, Faculty of Psychology and Education Sciences, University of Liège, 4000 Liège, Belgium.
  5. Isabelle Hansez: Human Resources Development Unit, Faculty of Psychology and Education Sciences, University of Liège, 4000 Liège, Belgium.

Abstract

Most research on burnout is based on self-reported questionnaires. Nevertheless, as far as the clinical judgement is concerned, a lack of consensus about burnout diagnosis constitutes a risk of misdiagnosis. Hence, this study aims to assess the added value of a joint use of two tools and compare their diagnostic accuracy: (1) the early detection tool of burnout, a structured interview guide, and (2) the Oldenburg burnout inventory, a self-reported questionnaire. The interview guide was tested in 2019 by general practitioners and occupational physicians among 123 Belgian patients, who also completed the self-reported questionnaire. A receiver operating characteristic curve analysis allowed the identification of a cut-off score for the self-reported questionnaire. Diagnostic accuracy was then contrasted by a McNemar chi-squared test. The interview guide has a significantly higher sensitivity (0.76) than the self-reported questionnaire (0.70), even by comparing the self-reported questionnaires with the interviews of general practitioners and occupational physicians separately. However, both tools have a similar specificity (respectively, 0.60-0.67), except for the occupational physicians' interviews, where the specificity (0.68) was significantly lower than the self-reported questionnaire (0.70). In conclusion, the early detection tool of burnout is more sensitive than the Oldenburg burnout inventory, but seems less specific. However, by crossing diagnoses reported by patients and by physicians, they both seem useful to support burnout diagnosis.

Keywords

References

  1. Ind Health. 2019 Nov 29;57(6):745-752 [PMID: 30814391]
  2. Int J Environ Res Public Health. 2021 May 12;18(10): [PMID: 34065970]
  3. J Occup Health Psychol. 2017 Jul;22(3):273-285 [PMID: 27732008]
  4. Evid Based Med. 2013 Feb;18(1):5-10 [PMID: 22740357]
  5. Br J Cancer. 2017 Aug 8;117(4):470-477 [PMID: 28664916]
  6. Psychol Health Med. 2020 Jan-Dec;25(sup1):1-12 [PMID: 32024374]
  7. Int J Offender Ther Comp Criminol. 2012 Oct;56(7):986-96 [PMID: 21862524]
  8. Int J Psychol. 2013;48(3):177-93 [PMID: 23750927]
  9. Int J Environ Res Public Health. 2021 Nov 23;18(23): [PMID: 34886022]
  10. JAMA. 2018 Sep 18;320(11):1131-1150 [PMID: 30326495]
  11. Front Public Health. 2017 Nov 20;5:307 [PMID: 29209603]
  12. Psychol Assess. 2013 Jun;25(2):435-41 [PMID: 23356679]
  13. Psychol Health. 2001 Sep;16(5):565-82 [PMID: 22804499]
  14. Psychol Assess. 2000 Mar;12(1):19-30 [PMID: 10752360]
  15. Psychol Health Med. 2018 Oct;23(9):1079-1093 [PMID: 29719979]
  16. Front Psychol. 2019 Mar 12;10:338 [PMID: 30914985]
  17. BMC Res Notes. 2018 Dec 14;11(1):893 [PMID: 30547848]
  18. Scand J Work Environ Health. 2021 Mar 1;47(2):95-107 [PMID: 33258478]
  19. Health Qual Life Outcomes. 2018 Nov 20;16(1):220 [PMID: 30458785]
  20. Acta Odontol Scand. 2019 Apr;77(3):219-223 [PMID: 30646808]
  21. Front Psychol. 2020 Aug 11;11:1819 [PMID: 32849072]
  22. Int J Environ Res Public Health. 2021 Sep 08;18(18): [PMID: 34574392]
  23. Rev Med Suisse. 2021 Jan 27;17(723):221-224 [PMID: 33507665]
  24. Int J Environ Res Public Health. 2020 Dec 18;17(24): [PMID: 33352940]
  25. PLoS One. 2017 Oct 4;12(10):e0185781 [PMID: 28977041]
  26. Stat Methods Med Res. 2018 Aug;27(8):2374-2383 [PMID: 28673124]
  27. Epidemiol Psychiatr Sci. 2021 Jan 13;30:e8 [PMID: 33436137]
  28. Biometrics. 1977 Jun;33(2):363-74 [PMID: 884196]
  29. Front Psychiatry. 2019 Aug 02;10:536 [PMID: 31427997]

MeSH Term

Burnout, Professional
Burnout, Psychological
Cross-Sectional Studies
General Practitioners
Humans
Surveys and Questionnaires

Word Cloud

Created with Highcharts 10.0.0burnoutself-reportedquestionnaire0physiciansdiagnosisinterviewguideOldenburgoccupationalquestionnairesclinicaljudgementtoolsearlydetectiontoolinventorygeneralpractitionerspatientsDiagnosticsignificantly70interviewsHoweverspecificityBurnoutresearchbasedNeverthelessfarconcernedlackconsensusconstitutesriskmisdiagnosisHencestudyaimsassessaddedvaluejointusetwocomparediagnosticaccuracy:1structured2tested2019among123Belgianalsocompletedreceiveroperatingcharacteristiccurveanalysisallowedidentificationcut-offscoreaccuracycontrastedMcNemarchi-squaredtesthighersensitivity76evencomparingseparatelysimilarrespectively60-067exceptphysicians'68lowerconclusionsensitiveseemslessspecificcrossingdiagnosesreportedseemusefulsupportInterestJointUseTwoToolsBurnout:ComparisonInventoryEarlyDetectionToolCompletedPhysiciansOLBI

Similar Articles

Cited By