ارائه الگوی تصمیم گیری بالینی بر اساس هوش هیجانی با میانجی گری باورهای خودکارآمدی و اعتماد به نفس در کادر پرستاری بیمارستان های شهر رشت

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری روانشناسی عمومی ، گروه روانشناسی ، واحد رودهن ، دانشگاه آزاد اسلامی ، رودهن، ایران.

2 استادیار، گروه روانشناسی ، واحدرودهن ، دانشگاه آزاد اسلامی ، رودهن ، ایران. (نویسنده مسئول)

3 استادیار ، گروه روانشناسی ، واحدرودهن ، دانشگاه آزاد اسلامی ، رودهن ، ایران.

چکیده

مطالعه حاضر با هدف ارائه الگوی تصمیم گیری بالینی بر اساس هوش هیجانی با میانجی گری باورهای خودکارآمدی و اعتماد به نفس در کادر پرستاری بیمارستان های شهر رشت انجام شد. روش این مطالعه از نوع توصیفی - همبستگی با تکیه بر مدل معادلات ساختاری بود. جامعه آماری این مطالعه پرستاران بخش مراقبت ویژه بیمارستان های شهر رشت بودند که با استفاده از روش نمونه گیری تصادفی خوشه ای نمونه ای به حجم 364 نفر انتخاب شدند و به پرسشنامه تصمیم گیری بالینی پرستاران لوری و سالانترا (2002)، پرسشنامه هوش هیجانی برادبری و گریوز (2005)، پرسشنامه خودکارآمدی در عملکرد بالینی چراغی و همکاران (2009) و پرسشنامه اعتماد به نفس شروگر و شون (1995) پاسخ دادند. تجزیه و تحلیل داده ها با استفاده از روش مدلیابی معادلات ساختاری نشان داد هوش هیجانی بر الگوی تصمیم گیری بالینی پرستاران اثر دارد (01/0>p، 657/0=β)؛ باورهای خودکارآمدی بر الگوی تصمیم گیری بالینی پرستاران اثر دارد (01/0>p، 370/0=β) و اعتماد به نفس بر الگوی تصمیم گیری بالینی پرستاران اثر دارد (01/0>p، 241/0=β). همچنین، باورهای خودکارآمدی (01/0>p، 186/0=β) و اعتماد به نفس (01/0>p، 108/0=β) اثر هوش هیجانی بر الگوی تصمیم گیری بالینی پرستاران را میانجی‌گری می کنند. پیشنهاد می شود در تدوین برنامه درسی، باور خودکارآمدی و اعتماد به نفس به عنوان عوامل تسهیل کننده تصمیم گیری و عملکرد بالینی دانشجویان پرستاری در نظر گرفته شود.

کلیدواژه‌ها


عنوان مقاله [English]

Providing a clinical decision-making model based on emotional intelligence with mediation self-efficacy and self-confidence in Nursing staff in Rasht Hospital

نویسندگان [English]

  • Sara Nejati 1
  • Simin Bashardoost 2
  • Haeideh Saberi 3
1 PhD student General Psychology , Department of Psychology , Roudehen Branch , Islamic Azad University, , Roudehen , Iran.
2 Assistant Professor، Department of Psychology , Roudehen Branch , Islamic Azad University ,Roudehen ,Iran.
3 Assistant Professor، Department of Psychology , Roudehen Branch, Islamic Azad University, Roudehen , Iran.
چکیده [English]

Decisions that the nurses taking during clinical care are affecting their effectiveness in clinical performance and can affect the patient's life and his medical experience. The present study aimed to provide a clinical decision-making model based on emotional intelligence with the assumption of self-efficacy and self-confidence beliefs in the Nursing staff of Rasht Hospital. The method of this descriptive-correlational study was relying on structural equation model. The statistical population of this study was nurses in the intensive care units of Rasht hospitals, which were selected by randomized cluster sampling method, and 364 people were selected by clinical decision-making questionnaire Laureria and Salalara (2002), Bradury and Erotic Elementary Questionnaire (2005), Self-efficacy Questionnaire in Clinical Performance and Partners (2009) and Sensor-Self-confidence and 1993) confidence questionnaire. Data analysis using structural equation modeling method showed that emotional intelligence affects the clinical decision making model of nurses (P <0.01, β = 0.57); Self-efficacy beliefs affect the clinical decision making model of nurses (P <0.01), β-300) and self-esteem on the clinical decision-making model of nurses (P <0.01, β = 241). Also, self-efficacy beliefs (p <0.01, β = 186) and self-confidence (P <0.01), β-108 = 2006 mediate the effect of emotional intelligence on clinical decision making model of nurses. It is suggested that in the formulation of curriculum, self-efficacy and self-confidence beliefs are considered as the facilitating facilitating agents and the clinical performance of nursing students.

کلیدواژه‌ها [English]

  • Confidence
  • self-efficacy beliefs
  • clinical decision making nurses
  • emotional intelligence
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