Nurses' experiences of home care: A qualitative study
سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 62
فایل این مقاله در 11 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_NMCJ-14-3_002
تاریخ نمایه سازی: 30 آذر 1404
چکیده مقاله:
Background: Addressing the challenges of home care is crucial for transforming traditional care models into modern healthcare systems.
Objectives: The current study aimed to explore nurses' experiences of home care challenges.
Methods: The study was designed using a qualitative approach to explore the experiences of twenty-two Iranian nurses across three cities in ۲۰۲۲-۲۰۲۳. Data collection was performed using semi-structured interviews based on exploring the nurses' experiences. Data analysis was conducted using the Lundman and Graneheim content analysis method.
Results: The study revealed five main categories of challenges, including "the need for improved education", "political support", "professional resources", "social acceptance", and "financial models".
Conclusion: It is crucial to establish a foundation of academic programs, comprehensive legislation, political support, and financial models to develop home care services. This study provides worthwhile insights into the challenges nurses face in-home care and highlights the necessity of addressing insufficiencies to improve the quality and accessibility of homecare services.
کلیدواژه ها:
نویسندگان
Atefeh Shamsi
Department of Research Center, School of Nursing and Midwifery, Isfahan University of Medical Sciences, Iran
Ahmadreza Yazdannik
Department of Critical Care Nursing Research Centre, School of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran
Nayereh Naseri
Department of Research Committee, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran
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 :