The care model composed of a multidisciplinary team is the best model to promote stroke rehabilitation. The objective of this study was to explore the effect of nurse-led rapid rehabilitation on mechanical thrombectomy (MT) in patients with acute ischemic stroke (AIS). This study used a non-randomized, historically controlled clinical trial design to compare the efficacy of nurse-led rapid and routine rehabilitation after thrombectomy in patients with ischemic stroke. Treatment outcomes, including hospitalization duration, hospitalization costs, scores on multiple scales at discharge, and clinical outcomes 3 months post-discharge, were assessed and compared between the 2 rehabilitation approaches. Our report is based on the STROBE guidelines. The differences in length of stay in hospital (P = .018), hospitalization expense (P < .001), National Institutes of Health Stroke Scale score (NIHSS) score at discharge (P < .001), modified Rankin scale (MRS) score at discharge (P < .001), and ADL (Activities of Daily Living) score at discharge (P = .156) between the intervention group and the control group were statistically significant. There were statistically significant differences in anxiety/depression (P = .013) and overall quality of life (P = .017) 3 months after discharge. Generalized estimating equation (GEE) analysis showed that interaction effects between group and time were statistically significant for MRS (OR = 0.231, 95% confidence interval: 0.128–0.417, P < .001). The hospitalization time of patients in the intervention group was shortened, and the hospitalization cost was reduced. There were differences in psychological status, and the overall quality of life and improvement of disability status was better.

Stroke is the leading cause of death and disability among adults in China. Effective self-management after hospital discharge can significantly improve patients' quality of life. However, the current level of self-management among stroke survivors in China remains suboptimal, highlighting an urgent need for innovative support strategies. To develop an individualized and dynamic self-management support program based on wearable technology and the solution-focused model, evaluate its effectiveness, and provide new insights for advancing post-stroke care models. A total of 183 stroke patients scheduled for discharge were randomly assigned to one of three groups-smartwatch, wristband, or control-with 61 participants per group. Over an 8-week intervention period, participants in the smartwatch intervention group received support through a personalized cloud platform that integrated real-time data from smartwatches, patient-maintained self-management diaries, and semi-structured interviews, to identify dynamic issues and obtain tailored feedback. Outcome measures-including self-management behaviors, resilience, patient activation, social support, Barthel Index, depression, blood pressure, glucose concentration, and stroke recurrence-were assessed at baseline (T0) and at 2 (T1), 3 (T2), and 6 (T3) months post-discharge. Intervention effects were analyzed using linear mixed-effects models. The cloud platform comprised a smartwatch interface, HMS Core application software, and a WeChat mini-program. The intervention significantly improved: self-management behaviors (T1: β = 27.496, p < 0.001; T2: β = 13.855, p = 0.004; T3: β = 10.649, p = 0.025), resilience (T1: β = 5.361, p < 0.001; T2: β = 3.498, p = 0.01; T3: β = 3.519, p = 0.01), patient activation (T1: β = 17.836, p < 0.001; T2: β = 14.302, p < 0.001; T3: β = 15.13, p < 0.001), and Barthel Index (T1: β = 5.225, p = 0.049; T3: β = 5.594, p = 0.035). The individualized and dynamic self-management support program effectively enhanced self- management behaviors, resilience, and patient activation in stroke survivors. It also showed promising trends toward reducing post-stroke depression and recurrence, and may contribute to better control of blood pressure and glucose concentration. Registered at chictr.org.cn, ChiCTR2300070384, on April 11, 2023, https://www.chictr.org.cn/showproj.html?proj=193286. The protocol version is ESC 1.0.