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Table 1 Demographic and professional characteristics of study participants (N = 33)

From: Neonatal nurses’ experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus

Characteristic

n (%)

Gender

 

 Female

29 (87.9%)

 Male

4 (12.1%)

Age Range (years)

 

 25–30

8 (24.2%)

 31–35

12 (36.4%)

 36–40

9 (27.3%)

 > 40

4 (12.1%)

Professional Role

 

 Staff Nurse

20 (60.6%)

 Charge Nurse

8 (24.2%)

 Unit Coordinator

5 (15.2%)

Years of NICU Experience

 

 2–5 years

7 (21.2%)

 6–10 years

14 (42.4%)

 > 10 years

12 (36.4%)

Education Level

 

 Bachelor’s Degree

25 (75.8%)

 Master’s Degree

7 (21.2%)

 Doctoral Degree

1 (3.0%)

AI Training Received

 

 Formal Training

28 (84.8%)

 No Formal Training

5 (15.2%)

Years of Experience with AI Systems

 

 ≤ 1 year

20 (60.6%)

 > 1 year

13 (39.4%)

Shift Pattern

 

 Day

10 (30.3%)

 Night

10 (30.3%)

 Rotating

13 (39.4%)

Previous Specialties before NICU

 

 None

20 (60.6%)

 Pediatrics

8 (24.2%)

 Adult ICU

5 (15.2%)

Hospital Setting

 

 Public

19 (57.6%)

 Private

14 (42.4%)

  1. Note: Chi-square tests (χ²) were conducted to examine associations between hospital settings (public/private) and categorical variables. No significant associations were found (all p > 0.05), suggesting a comparable distribution of participant characteristics across settings. The mean age of participants was 34.7 years (SD = 5.8), and the mean NICU experience was 8.9 years (SD = 4.2)