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Table 2 Gender, language used by participants, residential area, profession and highest level of education

From: Stakeholder consensus for decision making in eye-gaze control technology for children, adolescents and adults with cerebral palsy service provision: findings from a Delphi study

 

Round 1

N = 126% (n)

Round 2

N = 62% (n)

Round 3

n = 41% (n)

Gender (female)

86.5 (109)

86.9 (54)

87.8 (36)

Language

 English

86.5 (109)

87.1 (54)

87.8 (36)

 Swedish

11.1 (14)

1.6 (1)

12.2 (5)

 French

1.6 (2)

Not offered in French

Not offered in French

 Dutch

0.8 (1)

Not offered in Dutch

Not offered in Dutch

Residential area

 City

52 (65)

61.3 (38)

70.7 (29)

 Regional

28.8 (36)

22.6 (14)

14.6 (6)

 Metropolitan

17.6 (22)

14.5 (9)

12.2 (5)

 Remote

1.6 (2)

1.6 (1)

2.4 (1)

 Countries

Great Britain (38%), Australia (15%), Sweden (15%), USA (14%), Belgium (5%), Canada (3%) and one participant each from Afghanistan, Croatia, India, Latvia, Malaysia, Norway, Slovenia, Spain, Turkey, Virgin Islands and Zimbabwe.

Great Britain (31%), Sweden (18%), Australia (16%), USA (13%), Belgium (5%), Canada (5%) and 1 participant each from Afghanistan, Croatia, India, Malaysia, Norway, Slovenia, and Ireland.

Great Britain (29%), Sweden (20%), Australia (15%), USA (10%), Belgium (5%), Canada (3%) and one participant each from Afghanistan, Croatia, India, Malaysia, Norway, Slovenia, and Ireland.

Profession

 Clinicians/technologists

71.2 (89) a

72.6 (45)

73.2 (30)

Disciplines

 Occupational therapist

24.7 (22)

20.4 (10)

20 (6)

 Speech pathologist

59.6 (53)

55.1 (27)

53 (16)

 Biomedical engineer

2.2 (2)

2.0 (1)

3.3 (1)

 Medical practitioner

4.5 (4) b

4.1 (2)

6.7 (2)

 Other

9.0 (8) c

10.2 (5)

16.7 (5)

Educators

11.2 d

(14)

9.7

(6)

4.9

(2)

Researcher

2.4

(3)

4.8

(3)

7.3

(3)

Disciplines

 Occupational therapist

n = 2

n = 2

n = 2

 Optometrist

n = 1

n = 1

n = 1

 Other involved with eye-gaze control technology

3.2 (4)

3.2 (2)

4.9 (2)

Disciplines

 Medical practitioner

n = 2

n = 2

n = 2

 Speech pathologist

n = 1

n = 0

n = 0

 Unspecified

n = 1

n = 0

n = 0

Highest level of education

 Tertiary

80.2 (101)

79.0 (49)

78.0 (32)

 Certificate qualifications

17.5 (22)

17.7 (11)

19.5 (8)

 Secondary

2.4 (3)

3.2 (2)

2.4 (1)

Age groups the participants supported with eye-gaze control technology e

  < 6 years

23 (87)

21 (47)

23 (31)

 7–14 years

26 (101)

23 (53)

26 (36)

 15–24 years

24 (92)

22 (50)

24 (33)

 25–44 years

11 (42)

13 (30)

11 (15)

 45–64 years

9 (34)

11 (26)

9 (12)

  > 65 years

7 (29)

10 (22)

7 (10)

  1. an = 1 did not respond
  2. b Fields of practice for medical practitioners were: Round 1 - paediatrician (neurodisability, neurodevelopment; n = 3), child neurologist (n = 2) and physical medicine and rehabilitation (n = 1); Round 2 - paediatrician (neurodisability; n = 2), child neurologist (n = 1); and Round 3 - paediatrician (neurodisability; n = 2), child neurologist (n = 1). Note: some participants nominated two fields of specialty
  3. c The “other” clinicians – were: Round 1 - assistive technology specialist (n = 5), electronic engineer (n = 1), orthoptist (n = 1), psychologist (n = 1) and therapy assistant (n = 1) [Note: One participant specified more than area]; Round 2 - assistive technology specialist (n = 2), electronic engineer (n = 1), orthoptist (n = 1), psychologist (n = 1) and AAC specialist (n = 1); and Round 3 - assistive technology specialist (n = 2), electronic engineer (n = 1), psychologist (n = 1) and AAC specialist (n = 2)
  4. d The work environments of educators were: Round 1 - special schools (n = 3), itinerant roles supporting students in various schools (n = 2) and mainstream school (n = 1); Round 2 – mainstream school (n = 1), special school (n = 2) and Round 3 - special schools (n = 2)
  5. e Some participants nominated two or more age groups
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BMC Neurology

ISSN: 1471-2377

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