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Table 1 Demographics and background information concerning the participants (N=223)

From: Healthcare professionals’ perceptions on medication communication challenges and solutions – text mining and manual content analysis - cross-sectional study

Variable name of demographic

or background information

Values of the responders for the open-ended question (N=223):

“The most common medication communication challenges in one’s own clinical environment”†

Values of the responders for the open-ended question (N=195): 

“Suggestions for communication enhancements in one’s own hospital to reduce medication incidents”†

 

Valid N 

f (%)

Missing from valid N

f (%)

Valid N 

f (%)

Missing from valid N

f (%)

1. Location of working unit

n=223

-

n=195

-

Within the hospital

215 (96.4)

 

187 (95.9)

 

In the outpatient services that are off the hospital site, or the responder was responsible for several locations

8 (3.6)

 

8 (4.1)

 

2. Unit type

n=223

-

n=195

-

Inpatient unit

121 (54.3)

 

101 (51.8)

 

Outpatient clinic or day surgery

34 (15.2)

 

32 (16.4)

 

Intensive care unit, step down unit, operating room, or recovery room

42 (18.8)

 

38 (19.5)

 

Elsewhere, or they were responsible for several units

26 (11.7)

 

24 (12.3)

 

3. Position

n=221

2 (0.9)

n=194

1 (0.5)

Not in management position

173 (78.3)

 

153 (78.5)

 

Manager

39 (17.7)

 

34 (17.4)

 

Middle manager or in a chief position

9 (4.0)

 

7 (3.6)

 

4. Professional group

n=220

3 (1.3)

n=193

2 (1.0)

Practical nurse

5 (2.3)

 

5 (2.6)

 

Registered nurse

171 (77.7)

 

151 (77.4)

 

Specialist nurse, clinical teacher, or patient safety officer

6 (2.7)

 

6 (3.1)

 

Physician or a specialist physician

19 (8.6)

 

16 (8.2)

 

Pharmacist

16 (7.3)

 

13 (6.7)

 

Something else

3 (1.4)

 

2 (1.0)

 

5. Clinical pharmacist available in the clinic

n=216

7 (3.1)

n=190

5 (2.6)

No or not known

41 (19.0)

 

37 (18.9)

 

Yes

175 (81.0)

 

153 (80.5)

 

6. Work experience in current position in current organization

n=219

4 (1.7)

n=192

3 (1.5)

0–5 years

108 (49.3)

 

95 (49.5)

 

6–15 years

75 (34.2)

 

63 (32.8)

 

≥16 years

36 (16.4)

 

34 (17.7)

 

7. Work experience in current type of work altogether

n=220

4 (1.7)

n=192

3 (1.5)

0–5 years

64 (29.1)

 

56 (29.2)

 

6–15 years

94 (42.7)

 

81 (42.2)

 

≥16 years

62 (28.2)

 

55 (28.6)

 

8. Submitted a digital incident report himself/herself concerning medication error

n=221

2 (0.9)

n=194

1 (0.5)

No

23 (10.4)

 

22 (11.3)

 

Yes

198 (89.6)

 

172 (88.2)

 

9. Perception of percentage of factual medication incidents that are entered into a digital incident register

n=222

1 (0.4)

n=193

2 (1.0)

0–30 %

89 (40.1)

 

60 (31.1)

 

40–60 %

96 (43.2)

 

85 (44.0)

 

70–100 %

37 (16.7)

 

48 (24.9)

 

10. Regularity in analysis of incident reports with staff by manager or patient safety specialist

n=220

3 (1.3)

n=192

3 (1.5)

At least monthly

136 (61.8)

 

117 (60.9)

 

Once or a few times per year

72 (32.7)

 

62 (31.9)

 

Never analyzed together, or not known

12 (5.5)

 

13 (6.7)

 

11. Perception that sufficient information is available concerning the developments generated based on the incident reports

n=222

1 (0.4)

n=193

2(1.0)

Not sufficient or irrelevant in this area of responsibility

99 (44.6)

 

81 (42.0)

 

Sufficient

123 (55.4)

 

112 (58.0)

 

12. Years the current digital medication management system has been in use in the clinical area

n=211

12 (5.4)

n=185

10 (5.1)

Not known

45 (21.3)

 

35 (17.9)

 

Around one year or less

26 (12.3)

 

22 (11.3)

 

Several years

128 (60.7)

 

116 (59.5)

 

Old and new system are overlapping currently, while the clinical area is shifting to a new system

12 (5.7)

 

12 (6.2)

 
  1. † Valid = Value stating the percentage of the participants who responded (missing values were not included in the percentage calculation)