EFFECT AND APPLICATION VALUE OF INDIVIDUALIZED PRECISION NURSING MODEL BASED ON OMAHA SYSTEM ON LIMB MOVEMENT AND LANGUAGE FUNCTION IN PATIENTS WITH ISCHEMIC STROKE
Keywords:
Omaha System; Individualization; Precision Nursing Mode; Ischemic Stroke; Limb Movement; Language FunctionAbstract
Objective: The purpose of this research is to investigate the effect and application value of an individualized precision nursing model based on the Omaha System on limb movement and language function in individuals with ischemic stroke (IS). Methods: This research comprised 100 IS patients who were hospitalized to our hospital between January 2022 and January 2024. Participants were matched at random with either the control group (CG) (n=50), which was given conventional nursing care, or the research group (RG) (n=50), which was given individualized precision nursing based on the Omaha System. We compared scores on the Omaha System Questionnaire, Fugl-Meyer Assessment (FMA), Functional Ambulatory Scale (FAC), Aphasia Checklist from the China Rehabilitation Research Center, and the Quality of Life Scale (SF-36) involving the two groupings before and after the intervention. Results: After the intervention, significant improvements were observed in the scores for the Omaha System Questionnaire (cognition, behavior, symptoms, and signs), the Fugl-Meyer Assessment (FMA) for both upper and lower limbs, the Functional Ambulatory Scale (FAC), the Chinese Rehabilitation Research Center standard Aphasia Checklist (including reading, reading aloud, speaking, retelling, and listening comprehension), and the SF-36 Quality of Life Scale (covering physical function, mental health, and health level). Notably, the RG demonstrated considerably higher scores in contrast to the CG (P<0.05). Conclusion: The individualized precision nursing model based on the Omaha System significantly enhances limb movement and language function in individuals with IS and effectively improves their quality of life. This approach shows promising potential for broader implementation.