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Table 3 Attitudes towards mental illness and the field of mental health (n = 112)

From: Mental health knowledge, attitudes, and self-efficacy among primary care physicians working in the Greater Tunis area of Tunisia

MICA-4 items

Favorable answers n (%)

13. If a person with a mental illness complained of physical symptoms (such as chest pain), I would attribute it to their mental illness (R)

108 (96.4)

15. I would use the terms “crazy,” “nutter,” “mad,” etc. to describe to colleagues people with a mental illness who I have seen in my work

101 (90.2)

16. If a colleague told me they had a mental illness, I would still want to work with them

95 (85.6)

1. I just learn about mental health when I have to, and I would not bother reading additional material on it (R)

95 (85.6)

2. People with severe mental illness can never recover enough to have a good quality of life (R)

67 (59.8)

4. If I had a mental illness, I would never admit this to any of my friends because I would fear being treated differently (R)

58 (51.8)

14. General practitioners should not be expected to complete a thorough assessment for people with psychiatric symptoms because they can be referred to a psychiatrist (R)

57 (50.9)

10. I feel comfortable talking to a person with mental illness as I do talking to a person with physical illness

47 (42.0)

7. If I had a mental illness, I would never admit this to my colleagues for fear of being treated differently (R)

46 (41.8)

5. People with mental illness are dangerous more often than not (R)

31 (27.7)

12. The public does not need to be protected from people with mental illness

22 (20.0)

  1. Eleven questions from the original MICA-4 are reported
  2. For reversed scored items (R), suggested answers tend toward the negative (i.e., ‘strongly disagree’ and ‘disagree’), and these negative categories were collapsed into the single category of ‘favorable answers.’ Contrarily, for items not reversed, suggested answers tend toward the positive (i.e., ‘strongly agree’ and ‘agree’), and these positive categories were collapsed into the single category of ‘favorable answers’
  3. Missing data < 5%