Occupational Burnout and its Related Factors among Health Care Center Staff in Babol

سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 192

فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_JHD-8-3_004

تاریخ نمایه سازی: 8 خرداد 1400

چکیده مقاله:

Background: The staff of health care centers are prone to occupational burnout due to their overwhelming workload, the lack of scientific and professional promotion, along with their sensitive responsibilities. The purpose of this study was to determine occupational burnout and its related factors among the staff of health care centers in Babol, in ۲۰۱۶.   Methods: In this cross-sectional study, ۲۱۰ employees of health care centers were selected by stratified random sampling. Data were collected using demographic data and the Maslach Burnout Inventory (MBI), which included occupational burnout in three dimensions of emotional analysis, depersonalization, and a sense of reduction in individual success. Data were analyzed by descriptive statistics and analytical tests in SPSS ۲۲ with a significant level of ۰.۰۵.   Results: Results showed that ۴۶ employees (۲۲.۲%) had high emotional exhaustion, and ۵۵ (۲۶.۶%) had high depersonalization. None of the respondents felt low personal accomplishment. Emotional exhaustion and depersonalization had a significant inverse relation with the staff's educational level (P=۰.۰۰۵ and P=۰.۰۰۴, respectively). There was a significant direct correlation between emotional exhaustion with work experience (P=۰.۰۰۳), and type of employment (P=۰.۰۴۸); and also between depersonalization with work experience (P=۰.۰۰۱) and type of employment (P=۰.۰۱۳).   Conclusion: Given the presence of burnout components among staff, proper human resources management is recommended to improve morale and motivation and provide a favorable work environment with financial support for all staff.  

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :