The Strategies to Improve Quality Care in Pediatric Angiography

Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
View: 152

This Paper With 6 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_QJVC-2-5_004

تاریخ نمایه سازی: 24 آبان 1401

Abstract:

Background and Aim: The development of technology and the increase of intensive care beds strongly demand a professional care team in these areas. In addition, intensive care staff experience severe occupational stressors such as time pressure, low social support, overwork, and spiritual and moral distress. This study aimed to explain the strategies for promoting quality care in pediatric angiography. Materials and Methods: This is a qualitative study conducted with the participation of ۲۰ members of the care unit. Sampling was done until data saturation. Data analysis was performed using qualitative content analysis. Results: By analyzing the data, three reform classes of structural management, human resource management, and human interaction were found. Conclusion: The strategies to improve the management of the Angiography Department are affected by various factors such as structural management, human resource management, and human interaction. To improve the management of this department, managers should pay special attention to the standardization of the department and increase the level of communication skills of the care team.

Keywords:

Angiography , Quality of health care , Management

Authors

Haydeh Heidari

Department of Nursing, Modeling in Health Research Center, School of Nursing and Midwifery, Shahrekord University of Medical Sciences, Shahrekord, Iran.

Arsalan Khaledifar

Modeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.

Ali Ahmadi

Modeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper 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 Paper لینک شده اند :