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Table 6 Demographics, NIHSS, and stroke subtype of patients identified by SSA (n = 513)

From: Automated real-time text messaging as a means for rapidly identifying acute stroke patients for clinical trials

 

Total

November 2010

April 2011

June 2011

P

Text messages sent (n)

513

194

183

136

 

Age, median (IQR)

73 (63–81)

74 (66–82)

73 (65–82)

72 (57–80)

0.05

Female sex,% (n)

50.3 (258)

55.2 (107)

51.4 (94)

41.9 (57)

0.06

NIHSS, median (IQR)

4 (1–8)

4 (1–9)

3 (1–8)

4 (1–7)

0.90

Time from admission to triggered text message (TTM), median in min (IQR)

62 (32–118)

61 (31–108)

64 (35–117)

66 (20–129)

0.39

Tentative diagnosis at admission

    

0.56

Ischemic stroke,% (n)

69.4 (356)

68.0 (132)

68.3 (125)

72.8 (99)

 

Hemorrhages,% (n)

6.4 (33)

9.8 (19)

4.4 (8)

4.4 (6)

 

TIA,% (n)

13.1 (67)

10.8 (21)

15.8 (29)

12.5 (17)

 

Others,% (n)

11.1 (57)

11.3 (22)

11.5 (21)

10.3 (14)