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Table 1 General characteristics of participants (N = 32)

From: The development of a web-based app employing machine learning for delirium prevention in long-term care facilities in South Korea

Characteristics

Categories

N (%) or Mean ± SD

Sex

Female

32 (100)

Age (years)

 

45.31 ± 8.26

Education level

Diploma

12 (38)

Bachelor’s

15 (47)

 > Master’s

5 (16)

Total work experience (years)

 

16.09 ± 6.55

Long-term care facility work experience (years)

 

6.56 ± 4.24

Position

Staff nurse

9 (28.1)

Charge nurse

2 (6)

Head nurse

19 (59)

Others

2 (6)

Experience of delirium care

Yes

22 (68.8)

No

10 (31.3)

Experience of delirium assessment tool use

Yes

1 (3.1)

No

31 (96.9)

Education experience of delirium care

Yes

25 (78.1)

No

7 (21.9)

Pathway of delirium care education

Hospital

12 (37.5)

Nursing school

9 (28.1)

Self-directory education

1 (3.1)

Others

3 (9.4)

Self-evaluation of using a smartphone or tablet PC

Very good

4 (12.5)

Good

4 (12.5)

Moderate

19 (59.4)

Poor

5 (15.6)