Developing Models for Long-Term Nursing Care in Post-Stroke Patients
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Abstract
Background: Strokes have a significant negative influence on patients' physical, mental, and emotional health and are one of the main causes of long-term impairment globally. Recovery after a stroke frequently necessitates lengthy and intricate care, highlighting the need for efficient nursing models to handle these complicated issues. However, there are significant gaps in long-term rehabilitation and quality of life caused by the absence of integration, personalization, and support for patients and caregivers in many current care systems.
Aim: The purpose of this study is to create a thorough, evidence-based nursing care model for stroke survivors that takes into account their social, emotional, and physical requirements while promoting psychological resilience, functional rehabilitation, and an enhanced quality of life.
Methods: Rehabilitation techniques, caregiver engagement, and patient-centered approaches were the main topics of a systematic review and synthesis of current nursing care practices for stroke patients. To determine the essential elements of successful long-term nursing care, data from clinical guidelines, peer-reviewed journals, and creative care models were examined.
Results: Multidisciplinary care that includes physical therapy, psychological support, and caregiver training has been shown to improve post-stroke outcomes. Innovations in technology, like assistance gadgets and telemedicine, greatly improve patient recovery and involvement. Obstacles such as fragmented care coordination and caregiver exhaustion highlight the necessity of integrated approaches that put patient and caregiver support first.
Conclusion: addressing the multifaceted demands of stroke patients requires the development of multidisciplinary, patient-centered, and technologically improved nursing care models. To maximize recovery and quality of life, these approaches must incorporate social and emotional support, evidence-based therapy, and caregiver education. To assess these frameworks' impact and scalability in various healthcare contexts, more research is advised.