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Table 6 Predictors of legibility using bivariate and multivariable models.

From: Assessment of completeness and legibility of handwritten prescriptions in six community chain pharmacies of Asmara, Eritrea: a cross-sectional study

Legibility

Variables

Bivariate analysis

Multivariable analysis

COR (95% CI)

p-value

AOR (95% CI)

p-value

Grade one

Percentage completeness

0.92 (0.87, 0.97)

0.001

0.91 (0.86, 0.96)

0.001

Total number of drugs prescribed

2.7 (1.42, 5.13)

0.003

2.67(1.37, 5.21)

0.004

Number of drugs prescribed with brand name

2.44 (0.83, 7.15)

0.105

1.50(0.43, 5.20)

0.525

Grade two

Percentage completeness

0.98 (0.95, 1.00)

0.120

0.98 (0.95, 1.01)

0.203

Total number of drugs prescribed

2.11 (1.51, 2.94)

<0.001

1.93 (1.36, 2.73)

<0.001

Number of drugs prescribed with brand name

2.44 (1.44, 4.12)

0.001

1.76 (1.01, 3.06)

0.047

Grade three

Percentage completeness

0.98 (0.96, 1.00)

0.039

0.98 (0.96, 1.00)

0.061

Total number of drugs prescribed

1.33 (1.01, 1.74)

0.04

1.27 (0.96, 1.69)

0.091

Number of drugs prescribed with brand name

1.64 (1.05, 2.55)

0.029

1.43 (0.90, 2.27)

0.126

  1. Reference Category = Grade four, COR Crude Odds Ratio, AOR Adjusted odds Ratio