چکیده: (29 مشاهده)
Background and Objective: Job burnout is a major challenge in medical emergency centers, especially in underprivileged regions of Iran, and is associated with reduced care quality, increased errors, and staff turnover. This study aimed to identify and rank factors influencing burnout reduction in the Medical Emergency and Accident Center of Ilam University of Medical Sciences.
Materials and Methods: This sequential mixed-methods study first conducted qualitative interviews and thematic analysis (using MAXQDA software) to identify the main factors affecting job burnout among emergency nurses. The extracted factors were then prioritized and finalized using the fuzzy Delphi technique. Subsequently, a cross-sectional quantitative survey was conducted among 128 nurses using a validated researcher-developed questionnaire derived from the finalized Delphi factors. Data were analyzed in SPSS 26 employing descriptive statistics and the Friedman test to rank the identified factors and assess their relative priorities.
Results: Thematic analysis revealed five main themes and 26 sub-themes related to reducing job burnout among emergency nurses. Using the fuzzy Delphi method, 22 key factors were finalized. Quantitative analysis with the Friedman test showed that “increased psychological support” (Mean Rank = 16.89), “shift system reform” (15.74), and “training in stress-coping skills” (14.92) received the highest priorities from experts. There was a strong concordance between qualitative findings and quantitative rankings (Kendall’s W = 0.79, p < 0.05), confirming the validity of the results.
Conclusion: Strategies to reduce job burnout should focus on key individual and organizational factors, particularly psychological support and shift‑work reform, supported by convergent qualitative and quantitative findings.
Materials and Methods: This sequential mixed-methods study first conducted qualitative interviews and thematic analysis (using MAXQDA software) to identify the main factors affecting job burnout among emergency nurses. The extracted factors were then prioritized and finalized using the fuzzy Delphi technique. Subsequently, a cross-sectional quantitative survey was conducted among 128 nurses using a validated researcher-developed questionnaire derived from the finalized Delphi factors. Data were analyzed in SPSS 26 employing descriptive statistics and the Friedman test to rank the identified factors and assess their relative priorities.
Results: Thematic analysis revealed five main themes and 26 sub-themes related to reducing job burnout among emergency nurses. Using the fuzzy Delphi method, 22 key factors were finalized. Quantitative analysis with the Friedman test showed that “increased psychological support” (Mean Rank = 16.89), “shift system reform” (15.74), and “training in stress-coping skills” (14.92) received the highest priorities from experts. There was a strong concordance between qualitative findings and quantitative rankings (Kendall’s W = 0.79, p < 0.05), confirming the validity of the results.
Conclusion: Strategies to reduce job burnout should focus on key individual and organizational factors, particularly psychological support and shift‑work reform, supported by convergent qualitative and quantitative findings.
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