Table 5 Statistically significant associations between sociodemographic factors and the questionnaire’s scales

State audit

---

< 0.001^¶

 Male

3.397 (0.977)

3.333 (1.333)

 Female

3.164

3.000

Profession

(0.952)

(1.667)

---

< 0.001^§

 Doctor

3.455 (1.045)

3.667 (1.667)

 Dentist

3.406 (1.029)

3.667 (1.333)

 Pharmacist

3.380 (1.008)

3.500 (1.333)

 Nurse

2.991 (0.923)

3.000 (1.333)

 Other health professional

3.214 (0.931)

3.333 (1.333)

 Other profession

3.225 (0.864)

3.333 (1.333)

Units completed

---

---

0.076

(0.018) ^‡

Knowledge

---

< 0.001^¶

 Male

1.348 (0.581)

1.000 (0.667)

 Female

1.648 (0.722)

1.333 (1.000)

---

< 0.001^§

 Doctor

1.231 (0.441)

1.000 (0.333)

 Dentist

1.188 (0.359)

1.000 (0.167)

 Pharmacist

1.019 (0.077)

1.000 (0.000)

 Nurse

1.524 (0.579)

1.333 (1.000)

 Other health professional

1.700 (0.734)

1.667 (1.000)

 Other profession

1.918 (0.831)

2.000 (0.667)

Units completed

---

---

−0.140

< 0.001

Drug quality

Age

---

---

−0.064

(0.046)

---

(0.039)^¶

 Employed

2.693 (0.965)

2.667 (1.333)

 Unemployed

2.986 (1.047)

3.167 (1.667)

Drug substitution

Age

---

---

0.099

0.002

---

(0.048)^¶

 Male

3.872 (1.209)

4.000 (2.000)

 Female

3.802 (1.076)

4.000 (2.000)

---

(0.048)^§

 Single

3.685 (1.185)

4.000 (2.000)

 Married

3.889 (1.096)

4.000 (2.000)

 Divorced

4.012 (1.056)

4.500 (1.500)

 Widowed

3.333 (1.155)

4.000 (2.000)

---

< 0.001^§

 Doctor

4.343 (0.913)

5.000 (1.000)

 Dentist

3.969 (1.177)

4.250 (1.500)

 Pharmacist

2.139 (1.382)

1.500 (2.000)

 Nurse

3.644 (1.101)

4.000 (1.500)

 Other health professional

3.682 (1.117)

4.000 (1.500)

 Other profession

3.782 (0.940)

4.000 (1.500)

Fiscal impact

---

< 0.001^§

 Doctor

2.622 (0.873)

2.667 (1.333)

 Dentist

2.427 (0.963)

2.000 (1.000)

 Pharmacist

2.611 (1.006)

2.667 (1.500)

 Nurse

2.103 (0.798)

2.000 (1.000)

 Other health professional

2.159 (0.812)

2.000 (1.000)

 Other profession

2.151 (0.773)

2.000 (1.000)