Smart Healthcare–Enabled Information–Motivation–Behavioral Skills Model for Stroke Multimorbidity Rehabilitation: A Transitional Care Study

04 June 2026 : Clinical Research

Jing Li^{ABCDEFG 1,2}, Yuanyuan Zhang^{ABCDE 1}, Wenjuan Zhang^{DEF 1}, Jingjing Liu^{CDE 1}, Zhuyue Ma^{CDE 1}, Peibei Duan^{ABCDEFG 1*}

DOI: 10.12659/MSM.951687

Med Sci Monit 2026; 32:e951687

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Table 1 Baseline demographic and clinical characteristics of patients in the experimental and control groups.

Item	Sub-item	Experimental group (n=30)	Control group (n=30)	P-value
Age (years, mean±SD)		54.42±12.62	55.04±11.25	0.876
Sex	Male	13	15	0.664
Sex	Female	17	15
Educational level	Primary school	2	0	0.690
	Junior high school	4	6
	High school	9	11
	College and above	15	13
Payment method	New rural cooperative medical insurance	9	12	0.761
Payment method	Urban residents’ medical insurance	21	18
Stroke type	Cerebral infarction	19	17	0.705
Stroke type	Cerebral hemorrhage	11	13
Multimorbidity burden	Number of comorbidities (median, IQR)	3 (2–4)	3 (2–4)	0.912
Baseline stroke severity	Barthel Index at admission (mean±SD)	27.77±3.43	27.86±4.35	0.832
	Fugl–Meyer Assessment (FMA) balance at admission (mean±SD)	27.13±4.12	27.65±5.64	0.839
	NIHSS at admission (mean±SD)	22.88±2.73	22.64±3.47	0.863

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