The application of the IMB model combined with feedback-based health education in the rehabilitation of limb function in stroke patients

将IMB模型与基于反馈的健康教育相结合,应用于中风患者肢体功能康复。

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Abstract

This study evaluates the impact of an information-motivation-behavioral skills model (IMB model) health education intervention combined with feedback on rehabilitation outcomes for ischemic stroke patients with hemiplegia, targeting improvements in motor function, psychological state, disease awareness, and quality of life. A total of 152 ischemic stroke patients with hemiplegia were divided into an experimental group receiving the IMB-based intervention and a control group receiving standard education. Both interventions lasted 3 months. Rehabilitation outcomes were measured using indicators such as Fugl-Meyer assessment (FMA) for limb motor function, Activities of Daily Living (ADL) Scale, Hamilton Anxiety Rating Scale (HAMA), Hamilton Depression Rating Scale (HAMD) for psychological status, disease cognition, and compliance. The experimental group showed significantly better improvements across all indicators. FMA scores increased notably in the experimental group (58.12 ± 2.22) versus the control (53.65 ± 3.01, P < .001). Activities of Daily Living scores also improved more in the experimental group (79.36 ± 8.36) compared to the control (71.95 ± 7.71, P < .001). Psychological assessments indicated greater HAMA and HAMD score reductions in the experimental group (HAMA: 13.56 ± 2.74 vs 15.26 ± 2.09; HAMD: 15.21 ± 1.98 vs 18.36 ± 1.98, both P < .001). Disease awareness and compliance were higher in the experimental group (P < .05), and stroke-specific quality of life scores were also superior (192.36 ± 18.69 vs 179.36 ± 21.69, P < .001). Additionally, the experimental group experienced fewer complications like spasticity and contractures (P = .002). The IMB-based intervention with feedback shows notable benefits for ischemic stroke patients with hemiplegia, enhancing compliance, motor function, and quality of life. Future research should explore larger samples and longer follow-up to verify long-term effects.

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