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. 2015 Mar 26;2(1):e4. doi: 10.2196/humanfactors.4184

Table 2.

Factors associated with computer utilization among health professionals.

Predictor variables Utilization CORa (95% CI) AOR (95% CI)

Good Poor
Age

≤25 54 120 2.36 (1.31-4.25) 1.16 (0.40-3.34)

26-35 46 72 5.36 (1.81-6.21) 3.06 (0.57-5.37)c

≥36 19 100 1 1
Sex

Male 94 157 2.28 (1.51-3.43) 1.05 (1.01-2.69)

Female 48 183 1 1
Marital status

Never married 75 127 1.87 (1.26-2.79) 1.40 (0.79-2.69)

Married 67 213 1 1
Profession

Medical doctor,
health officer
28 23 4.51 (2.44-8.35) 1.89 (0.77-4.61)

Pharmacist,
lab technician
39 61 2.37 (1.46-3.85) 3.08 (1.65-5.73)c

Nurse 66 245 1 1

Otherb 9 11 3.03 (1.26-7.63) 1.30 (0.70-7.50)
Education

BSc or above 66 60 4.05 (2.63-6.24) 2.78 (1.43-5.40)c

Diploma 76 280 1 1
Position

Institution head 6 4 3.93 (1.08-14.20) 1.97 (0.34-11.24)

Team leader 28 53 1.38 (0.83-2.30) 1.70 (0.85-3.38)

Care provider 108 283 1 1
Training

Yes 133 231 6.97 (3.42-14.21) 3.65 (1.62-8.21)c

No 9 109 1 1
Service year

6-10 32 49 3.02 (3.27-24.77) 1.51 (1.92-22.02)

11-15 9 45 2.76 (0.86-8.76) 1.28 (0.62-8.40)

≥16 5 69 1 1

aCrude odds ratio

bEnvironmental health, dentistry, physiotherapy, and radiography

cSignificant at P<.05.