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Медицинская библиотека · Alternative therapies in health and medicine · 2025

The Protective Effect of MEWS-based Graded Nursing on the Life Safety of Car Accident Patients.

Jiang Hui, Qin Lili, Wang Lingli, Jin Yourong, Gong Lili, Yang Yang

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Аннотация

OBJECTIVE

To demonstrate the improvement effect of modified early warning score (MEWS)-based on graded nursing (different levels of care are given according to the assessment of the severity, seriousness, urgency and self-care ability of the patient) on the outcome and quality of life (QoL) of emergency car accident patients.

METHODS

A prospective non-randomized controlled trial was conducted on 103 emergency car accident patients admitted between May 2020 and May 2021. Among them, 57 patients received MEWS-based graded nursing and were regarded as the research group (RG), while the other 46 patients received routine nursing and were regarded as the control group (CG). The Symptom Check List-90 (SCL-90), the Visual Analogue Scale (VAS), and the Post-traumatic Stress Disorder (PTSD) Checklist-Civilian version (PCL-C) scoring surveys were administered before and after care, respectively. Nursing satisfaction was investigated when patients were discharged from the hospital. Then, patient outcomes were followed up for one year to evaluate patients' QoL by the Generic Quality of Life Inventory-74 (GQOL-74).

RESULTS

SCL-90, VAS, and PCL-C were lower, and satisfaction with care was higher after RG treatment compared to CG (P < .05). The incidence of adverse events during treatment was lower in RG than in CG (P < .05). In addition, PCL-C scores were also lower in RG than in CG (P < .05).

CONCLUSION

MEWS-based graded nursing can effectively mitigate the NEs and PTSD of emergency car accident patients and improve their outcomes and QoL.

Для цитирования: Jiang Hui, Qin Lili, Wang Lingli, Jin Yourong, Gong Lili, Yang Yang. The Protective Effect of MEWS-based Graded Nursing on the Life Safety of Car Accident Patients.. Alternative therapies in health and medicine. 2025.

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