Sağlık ve terapi alanlarında çalışanlarda tükenme: Erken uyumsuz şemalar ve ruhsal bozukluk belirtilerinin rolünün araştırılması

Amaç: Bu çalışma sağlık alanında ilaç tedavisi ve sağlık terapisi birimlerinin çalışanlarında tükenme ile erken uyumsuz şemalar ve ruhsal bozukluk belirtileri arasındaki ilişkiyi araştırmak temel amacıyla yapılmıştır. Yöntem: Bu kesitsel çalışmada, 300 çalışan basit rasgele örnekleme yöntemiyle seçilmiştir. Bu çalışmada kullanılan veri toplama araçları Maslach Tükenme Ölçeği, Young Erken Uyumsuz Şema Kısa Formu ve Belirti Tarama ListesiR'dir. Ölçüt değişkenlerini (tükenme alanları) ve her olası değişkeni (ruhsal bozukluk belirtileri) belirlemek için çokluregresyon analizi yöntemi kullanıldı. Sonuçlar: Yöntem, ruhsal bozukluk belirtileri arasında agresyon, duygusal tükenme, depersonalization ve agresyon ve paranoid düşünceleri, performanstaki düşmeyi pozitif ve anlamlı düzeyde öngörmüştür. Erken uyumsuz şemalar arasında yalnız bozuk özerklik ve performans (R2=0.22) duygusal tükenmeyi öngörmüştü. Bu sonuçlar temelinde, performanstaki düşmenin varyans puanların %33'ü bozuk özerklik ve performansın varyans puanlarına aitken; %44'ü bozuk özerklik/performans ve vijilans/inhibisyon alanının varyans puanlarıyla ilişkiliydi. Tartışma: Bu araştırmanın sonuçları bozuk özerklik/performans şemalarının, vijilans/inhibisyon, agresyon ve paranoid düşüncelerin tükenmenin çeşitli yönleriniöngörebildiğini ortaya koymuştur.

Burnout among the employees of health and therapy entities: investigating the role of early maladaptive schemas and mental disorder symptoms

Objective: The present study has been done with the main purpose of investigating the relationship between early maladaptive schemas and mental disorder symptoms with burnout among the employees of administration-therapy and health-therapy departments in health entities. Methods: In this cross-sectional study, 300 employees have been selected by simple random sampling method. In this study, collecting data tools consisted of Maslach Burnout Questionnaire, Short Form of Young Early Maladaptive Schema and Symptom Checklist-Revised. The multiple regression analysis method has been used in order to determine each forecast variables (mental disorder symptoms) to determine the criterion variables (burnout dimensions). Results: Among the mental disorder symptoms, aggression, emotional exhaustion, depersonalization and aggression and paranoid ideations the method has been able to predict in positive and significant manner the decline in performance. Among the early maladaptive schemas, only impaired autonomy and performance was able to predict the emotional exhaustion. While, based on the results, 33 percent of the scores' variance of the decline in performance belongs to the scores' variance of impaired autonomy and performance and 44 percent are related to scores' variance of impaired autonomy/ performance and area of vigilance/inhibition. Conclusion: The results of this research reveal that schemas of impaired autonomy/performance, vigilance/inhibition, aggression and paranoid thoughts was able to predict the aspects of burnout.

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1. Boles JS, Dean DH, Ricks JM, Short JC, Wang G. The dimensionality of the Maslach Burnout Inventory across small business owners and educators. J Vocat Behav 2000; 56(1):12-34.
2. Shih S-P, Jiang JJ, Klein G, Wang E. Job burnout of the information technology worker: Work exhaustion, depersonalization, and personal accomplishment. Information & Management 2013; 50(7):582-589.
3. Najimi A, Goudarzi AM, Sharifirad G. Causes of job stress in nurses: A cross-sectional study. Iran J Nurs Midwifery Res 2012; 17(4):301-305.
4. Aiken LH, Clarke SP, Sloane DM, Sochalski J, Silber JH. Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA 2002; 288(16):1987-1993.
5. Zhou J, Yang Y, Qiu X, Yang X, Pan H, Ban B, et al. Relationship between anxiety and burnout among Chinese physicians: a moderated mediation model. PLoS One 2016; 11(8):e0157013.
6. Hunsaker S, Chen HC, Maughan D, Heaston S. Factors that influence the development of compassion fatigue, burnout, and compassion satisfaction in emergency department nurses. J Nurs Scholarsh 2015; 47(2):186-194.
7. Maslach C, Schaufeli WB, Leiter MP. Job burnout. Annu Rev Psychol 2001; 52(1):397-422.
8. Bamber M, McMahon R. Danger-early maladaptive schemas at work!: the role of early maladaptive schemas in career choice and the development of occupational stress in health workers. Clin Psychol Psychother 2008; 15(2):96-112.
9. Maslach C, Jackson SE. The measurement of experienced burnout. J Organ Behav 1981; 2(2):99-113.
10. Waller G, Meyer C, Ohanian V. Psychometric properties of the long and short versions of the Young Schema Questionnaire: Core beliefs among bulimic and comparison women. Cognit Ther Res 2001; 25(2):137-147.
11. Müller JM, Postert C, Beyer T, Furniss T, Achtergarde S. Comparison of eleven short versions of the Symptom Checklist 90-Revised (SCL-90-R) for use in the assessment of general psychopathology. J Psychopathol Behav Assess 2010; 32(2):246-254.
12. Derogatis LR. SCL-90-R: Symptom Checklist-90- R: Administration, Scoring, and Procedures Manual. NCS Pearson, 1996.
13. Hellesøy O, Grønhaug K, Kvitastein O. Burnout: conceptual issues and empirical findings from a new research setting. Scand J Manag 2000; 16(3):233-247.
14. Renner F, Lobbestael J, Peeters F, Arntz A, Huibers M. Early maladaptive schemas in depressed patients: Stability and relation with depressive symptoms over the course of treatment. J Affect Disord 2012; 136(3):581-590.
15. Berger M, Schneller C, Maier W. [Work, mental disorders and burnout: concepts and developments in diagnostics, prevention and therapy]. Der Nervenarzt 2012; 83(11):1364-1372.
16. Hawke LD, Provencher MD. Early maladaptive schemas among patients diagnosed with bipolar disorder. J Affect Disord 2012; 136(3):803-811.
17. Ahola K, Honkonen T, Isometsä E, Kalimo R, Nykyri E, Aromaa A, et al. The relationship between job-related burnout and depressive disorders-results from the Finnish Health 2000 Study. J Affect Disord 2005; 88(1):55-62.
18. Florin A. Maladaptive schemas, irrational beliefs, and their relationship with the five-factor personality model. J Cogn Behav Psychother 2009; 9(2):135-147.
19. Specht MW, Chapman A, Cellucci T. Schemas and borderline personality disorder symptoms in incarcerated women. J Behav Ther Exp Psychiatry 2009; 40(2):256-264.
20. Lackritz JR. Exploring burnout among university faculty: incidence, performance, and demographic issues. Teach Teach Educ 2004; 20(7):713-729.
21. Milfont TL, Denny S, Ameratunga S, Robinson E, Merry S. Burnout and wellbeing: Testing the Copenhagen Burnout Inventory in New Zealand teachers. Soc Indic Res 2008; 89(1):169-177.
22. Evans S, Huxley P, Gately C, Webber M, Mears A, Pajak S, et al. Mental health, burnout and job satisfaction among mental health social workers in England and Wales. Br J Psychiatry 2006; 188(1):75-80.
23. Vigoda E. Stress-related aftermaths to workplace politics: the relationships among politics, job distress, and aggressive behavior in organizations. J Organ Behav 2002; 23(5):571-591.
24. Ben-Zur H, Yagil D. The relationship between empowerment, aggressive behaviours of customers, coping, and burnout. Eur J Work Organ Psychol 2005; 14(1):81-99.
25. Garrosa E, Moreno-Jimenez B, Liang Y, González JL. The relationship between socio-demographic variables, job stressors, burnout, and hardy personality in nurses: An exploratory study. Int J Nurs Stud 2008; 45(3):418-427.
26. Akhtar S, Lee JS. Confirmatory factor analysis and job burnout correlates of the Health Professions Stress Inventory. Psychol Rep 2002; 90(1):243-250.